Project import generated by Copybara.

GitOrigin-RevId: f4b1fe3f15810450fb6539e733f6a260d3ee082c

.github/ISSUE_TEMPLATE/00-build-installation-issue.md

@@ -0,0 +1,27 @@
+---
+name: "Build/Installation Issue"
+about: Use this template for build/installation issues
+labels: type:build/install
+
+---
+<em>Please make sure that this is a build/installation issue and also refer to the [troubleshooting](https://google.github.io/mediapipe/getting_started/troubleshooting.html) documentation before raising any issues.</em>
+
+**System information** (Please provide as much relevant information as possible)
+- OS Platform and Distribution (e.g. Linux Ubuntu 16.04, Android 11, iOS 14.4):
+- Compiler version (e.g. gcc/g++ 8 /Apple clang version 12.0.0):
+- Programming Language and version ( e.g. C++ 14, Python 3.6, Java ):
+- Installed using virtualenv? pip? Conda? (if python):
+- [MediaPipe version](https://github.com/google/mediapipe/releases):
+- Bazel version:
+- XCode and Tulsi versions (if iOS):
+- Android SDK and NDK versions (if android):
+- Android [AAR](https://google.github.io/mediapipe/getting_started/android_archive_library.html) ( if android):
+- OpenCV version (if running on desktop):
+
+**Describe the problem**:
+
+
+**[Provide the exact sequence of commands / steps that you executed before running into the problem](https://google.github.io/mediapipe/getting_started/getting_started.html):**
+
+**Complete Logs:**
+Include Complete Log information or source code that would be helpful to diagnose the problem. If including tracebacks, please include the full traceback. Large logs and files should be attached:

.github/ISSUE_TEMPLATE/10-solution-issue.md

@@ -0,0 +1,26 @@
+---
+name: "Solution Issue"
+about: Use this template for assistance with a specific mediapipe solution, such as "Pose" or "Iris", including inference model usage/training, solution-specific calculators, etc.
+labels: type:support
+
+---
+<em>Please make sure that this is a [solution](https://google.github.io/mediapipe/solutions/solutions.html) issue.<em>
+
+**System information** (Please provide as much relevant information as possible)
+- Have I written custom code (as opposed to using a stock example script provided in Mediapipe):
+- OS Platform and Distribution (e.g., Linux Ubuntu 16.04, Android 11, iOS 14.4):
+- [MediaPipe version](https://github.com/google/mediapipe/releases):
+- Bazel version:
+- Solution (e.g. FaceMesh, Pose, Holistic):
+- Programming Language and version ( e.g. C++, Python, Java):
+
+**Describe the expected behavior:**
+
+**Standalone code you may have used to try to get what you need :**
+
+If there is a problem, provide a reproducible test case that is the bare minimum necessary to generate the problem. If possible, please share a link to Colab/repo link /any notebook:
+
+**Other info / Complete Logs :**
+Include any logs or source code that would be helpful to
+diagnose the problem. If including tracebacks, please include the full
+traceback. Large logs and files should be attached:

.github/ISSUE_TEMPLATE/20-documentation-issue.md

@@ -0,0 +1,51 @@
+---
+name: "Documentation Issue"
+about: Use this template for documentation related issues
+labels: type:docs
+
+---
+Thank you for submitting a MediaPipe documentation issue.
+The MediaPipe docs are open source! To get involved, read the documentation Contributor Guide
+## URL(s) with the issue:
+
+Please provide a link to the documentation entry, for example: https://github.com/google/mediapipe/blob/master/docs/solutions/face_mesh.md#models
+
+## Description of issue (what needs changing):
+
+Kinds of documentation problems:
+
+### Clear description
+
+For example, why should someone use this method? How is it useful?
+
+### Correct links
+
+Is the link to the source code correct?
+
+### Parameters defined
+Are all parameters defined and formatted correctly?
+
+### Returns defined
+
+Are return values defined?
+
+### Raises listed and defined
+
+Are the errors defined? For example,
+
+### Usage example
+
+Is there a usage example?
+
+See the API guide:
+on how to write testable usage examples.
+
+### Request visuals, if applicable
+
+Are there currently visuals? If not, will it clarify the content?
+
+### Submit a pull request?
+
+Are you planning to also submit a pull request to fix the issue? See the docs
+https://github.com/google/mediapipe/blob/master/CONTRIBUTING.md
+

.github/ISSUE_TEMPLATE/30-bug-issue.md

@@ -0,0 +1,32 @@
+---
+name: "Bug Issue"
+about: Use this template for reporting a bug
+labels: type:bug
+
+---
+<em>Please make sure that this is a bug and also refer to the [troubleshooting](https://google.github.io/mediapipe/getting_started/troubleshooting.html), FAQ documentation before raising any issues.</em>
+
+**System information** (Please provide as much relevant information as possible)
+
+- Have I written custom code (as opposed to using a stock example script provided in MediaPipe):
+- OS Platform and Distribution (e.g., Linux Ubuntu 16.04, Android 11, iOS 14.4):
+- Mobile device (e.g. iPhone 8, Pixel 2, Samsung Galaxy) if the issue happens on mobile device:
+- Browser and version (e.g. Google Chrome, Safari) if the issue happens on browser:
+- Programming Language and version ( e.g. C++, Python, Java):
+- [MediaPipe version](https://github.com/google/mediapipe/releases):
+- Bazel version (if compiling from source):
+- Solution ( e.g. FaceMesh, Pose, Holistic ):
+- Android Studio, NDK, SDK versions (if issue is related to building in Android environment):
+- Xcode & Tulsi version (if issue is related to building for iOS):
+
+**Describe the current behavior:**
+
+**Describe the expected behavior:**
+
+**Standalone code to reproduce the issue:**
+Provide a reproducible test case that is the bare minimum necessary to replicate the problem. If possible, please share a link to Colab/repo link /any notebook:
+
+**Other info / Complete Logs :**
+ Include any logs or source code that would be helpful to
+diagnose the problem. If including tracebacks, please include the full
+traceback. Large logs and files should be attached

.github/ISSUE_TEMPLATE/40-feature-request.md

@@ -0,0 +1,24 @@
+---
+name: "Feature Request"
+about: Use this template for raising a feature request
+labels: type:feature
+
+---
+<em>Please make sure that this is a feature request.</em>
+
+**System information** (Please provide as much relevant information as possible)
+
+- MediaPipe Solution (you are using):
+- Programming language : C++/typescript/Python/Objective C/Android Java
+- Are you willing to contribute it (Yes/No):
+
+
+**Describe the feature and the current behavior/state:**
+
+**Will this change the current api? How?**
+
+**Who will benefit with this feature?**
+
+**Please specify the use cases for this feature:**
+
+**Any Other info:**

.github/ISSUE_TEMPLATE/50-other-issues.md

@@ -0,0 +1,14 @@
+---
+name: "Other Issue"
+about: Use this template for any other non-support related issues.
+labels: type:others
+
+---
+This template is for miscellaneous issues not covered by the other issue categories
+
+For questions on how to work with MediaPipe, or support for problems that are not verified bugs in MediaPipe, please go to [StackOverflow](https://stackoverflow.com/questions/tagged/mediapipe) and [Slack](https://mediapipe.page.link/joinslack) communities.
+
+If you are reporting a vulnerability, please use the [dedicated reporting process](https://github.com/google/mediapipe/security).
+
+For high-level discussions about MediaPipe, please post to discuss@mediapipe.org, for questions about the development or internal workings of MediaPipe, or if you would like to know how to contribute to MediaPipe, please post to developers@mediapipe.org.
+

.github/bot_config.yml

@@ -0,0 +1,18 @@
+# Copyright 2021 The MediaPipe Authors.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+# ============================================================================
+
+# A list of assignees
+assignees:
+   - sgowroji

.github/stale.yml

@@ -0,0 +1,34 @@
+# Copyright 2021 The MediaPipe Authors.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+# ============================================================================
+#
+# This file was assembled from multiple pieces, whose use is documented
+# throughout. Please refer to the TensorFlow dockerfiles documentation
+# for more information.
+
+# Number of days of inactivity before an Issue or Pull Request becomes stale
+daysUntilStale: 7
+# Number of days of inactivity before a stale Issue or Pull Request is closed
+daysUntilClose: 7
+# Only issues or pull requests with all of these labels are checked if stale. Defaults to `[]` (disabled)
+onlyLabels:
+ - stat:awaiting response
+# Comment to post when marking as stale. Set to `false` to disable
+markComment: >
+  This issue has been automatically marked as stale because it has not had
+  recent activity. It will be closed if no further activity occurs. Thank you.
+# Comment to post when removing the stale label. Set to `false` to disable
+unmarkComment: false
+closeComment: >
+  Closing as stale. Please reopen if you'd like to work on this further.

Dockerfile

@@ -23,6 +23,7 @@ ENV DEBIAN_FRONTEND=noninteractive
 
 RUN apt-get update && apt-get install -y --no-install-recommends \
         build-essential \
+        gcc-8 g++-8 \
         ca-certificates \
         curl \
         ffmpeg \
@@ -44,6 +45,7 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
     apt-get clean && \
     rm -rf /var/lib/apt/lists/*
 
+RUN update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-8 100 --slave /usr/bin/g++ g++ /usr/bin/g++-8
 RUN pip3 install --upgrade setuptools
 RUN pip3 install wheel
 RUN pip3 install future

MANIFEST.in

@@ -8,9 +8,13 @@ include README.md
 include requirements.txt
 
 recursive-include mediapipe/modules *.tflite *.txt *.binarypb
+exclude mediapipe/modules/face_detection/face_detection_full_range.tflite
 exclude mediapipe/modules/objectron/object_detection_3d_chair_1stage.tflite
 exclude mediapipe/modules/objectron/object_detection_3d_sneakers_1stage.tflite
 exclude mediapipe/modules/objectron/object_detection_3d_sneakers.tflite
 exclude mediapipe/modules/objectron/object_detection_3d_chair.tflite
 exclude mediapipe/modules/objectron/object_detection_3d_camera.tflite
 exclude mediapipe/modules/objectron/object_detection_3d_cup.tflite
+exclude mediapipe/modules/objectron/object_detection_ssd_mobilenetv2_oidv4_fp16.tflite
+exclude mediapipe/modules/pose_landmark/pose_landmark_lite.tflite
+exclude mediapipe/modules/pose_landmark/pose_landmark_heavy.tflite

README.md

@@ -40,11 +40,12 @@ Hair Segmentation
 [Hands](https://google.github.io/mediapipe/solutions/hands)                                     | ✅                                                               | ✅                                                       | ✅                                                       | ✅                                                             | ✅                                                             |
 [Pose](https://google.github.io/mediapipe/solutions/pose)                                       | ✅                                                               | ✅                                                       | ✅                                                       | ✅                                                             | ✅                                                             |
 [Holistic](https://google.github.io/mediapipe/solutions/holistic)                               | ✅                                                               | ✅                                                       | ✅                                                       | ✅                                                             | ✅                                                             |
+[Selfie Segmentation](https://google.github.io/mediapipe/solutions/selfie_segmentation)         | ✅                                                               | ✅                                                       | ✅                                                       | ✅                                                             | ✅                                                             |
 [Hair Segmentation](https://google.github.io/mediapipe/solutions/hair_segmentation)             | ✅                                                               |                                                         | ✅                                                       |                                                               |                                                               |
 [Object Detection](https://google.github.io/mediapipe/solutions/object_detection)               | ✅                                                               | ✅                                                       | ✅                                                       |                                                               |                                                               | ✅
 [Box Tracking](https://google.github.io/mediapipe/solutions/box_tracking)                       | ✅                                                               | ✅                                                       | ✅                                                       |                                                               |                                                               |
 [Instant Motion Tracking](https://google.github.io/mediapipe/solutions/instant_motion_tracking) | ✅                                                               |                                                         |                                                         |                                                               |                                                               |
-[Objectron](https://google.github.io/mediapipe/solutions/objectron)                             | ✅                                                               |                                                        | ✅                                                         | ✅                                                             |                                                               |
+[Objectron](https://google.github.io/mediapipe/solutions/objectron)                             | ✅                                                               |                                                         | ✅                                                       | ✅                                                             | ✅                                                             |
 [KNIFT](https://google.github.io/mediapipe/solutions/knift)                                     | ✅                                                               |                                                         |                                                         |                                                               |                                                               |
 [AutoFlip](https://google.github.io/mediapipe/solutions/autoflip)                               |                                                                 |                                                         | ✅                                                       |                                                               |                                                               |
 [MediaSequence](https://google.github.io/mediapipe/solutions/media_sequence)                    |                                                                 |                                                         | ✅                                                       |                                                               |                                                               |
@@ -54,46 +55,22 @@ See also
 [MediaPipe Models and Model Cards](https://google.github.io/mediapipe/solutions/models)
 for ML models released in MediaPipe.
 
-## MediaPipe in Python
-
-MediaPipe offers customizable Python solutions as a prebuilt Python package on
-[PyPI](https://pypi.org/project/mediapipe/), which can be installed simply with
-`pip install mediapipe`. It also provides tools for users to build their own
-solutions. Please see
-[MediaPipe in Python](https://google.github.io/mediapipe/getting_started/python)
-for more info.
-
-## MediaPipe on the Web
-
-MediaPipe on the Web is an effort to run the same ML solutions built for mobile
-and desktop also in web browsers. The official API is under construction, but
-the core technology has been proven effective. Please see
-[MediaPipe on the Web](https://developers.googleblog.com/2020/01/mediapipe-on-web.html)
-in Google Developers Blog for details.
-
-You can use the following links to load a demo in the MediaPipe Visualizer, and
-over there click the "Runner" icon in the top bar like shown below. The demos
-use your webcam video as input, which is processed all locally in real-time and
-never leaves your device.
-
-![visualizer_runner](docs/images/visualizer_runner.png)
-
-*   [MediaPipe Face Detection](https://viz.mediapipe.dev/demo/face_detection)
-*   [MediaPipe Iris](https://viz.mediapipe.dev/demo/iris_tracking)
-*   [MediaPipe Iris: Depth-from-Iris](https://viz.mediapipe.dev/demo/iris_depth)
-*   [MediaPipe Hands](https://viz.mediapipe.dev/demo/hand_tracking)
-*   [MediaPipe Hands (palm/hand detection only)](https://viz.mediapipe.dev/demo/hand_detection)
-*   [MediaPipe Pose](https://viz.mediapipe.dev/demo/pose_tracking)
-*   [MediaPipe Hair Segmentation](https://viz.mediapipe.dev/demo/hair_segmentation)
-
 ## Getting started
 
-Learn how to [install](https://google.github.io/mediapipe/getting_started/install)
-MediaPipe and
-[build example applications](https://google.github.io/mediapipe/getting_started/building_examples),
-and start exploring our ready-to-use
-[solutions](https://google.github.io/mediapipe/solutions/solutions) that you can
-further extend and customize.
+To start using MediaPipe
+[solutions](https://google.github.io/mediapipe/solutions/solutions) with only a few
+lines code, see example code and demos in
+[MediaPipe in Python](https://google.github.io/mediapipe/getting_started/python) and
+[MediaPipe in JavaScript](https://google.github.io/mediapipe/getting_started/javascript).
+
+To use MediaPipe in C++, Android and iOS, which allow further customization of
+the [solutions](https://google.github.io/mediapipe/solutions/solutions) as well as
+building your own, learn how to
+[install](https://google.github.io/mediapipe/getting_started/install) MediaPipe and
+start building example applications in
+[C++](https://google.github.io/mediapipe/getting_started/cpp),
+[Android](https://google.github.io/mediapipe/getting_started/android) and
+[iOS](https://google.github.io/mediapipe/getting_started/ios).
 
 The source code is hosted in the
 [MediaPipe Github repository](https://github.com/google/mediapipe), and you can
@@ -102,6 +79,13 @@ run code search using
 
 ## Publications
 
+*   [Bringing artworks to life with AR](https://developers.googleblog.com/2021/07/bringing-artworks-to-life-with-ar.html)
+    in Google Developers Blog
+*   [Prosthesis control via Mirru App using MediaPipe hand tracking](https://developers.googleblog.com/2021/05/control-your-mirru-prosthesis-with-mediapipe-hand-tracking.html)
+    in Google Developers Blog
+*   [SignAll SDK: Sign language interface using MediaPipe is now available for
+    developers](https://developers.googleblog.com/2021/04/signall-sdk-sign-language-interface-using-mediapipe-now-available.html)
+    in Google Developers Blog
 *   [MediaPipe Holistic - Simultaneous Face, Hand and Pose Prediction, on Device](https://ai.googleblog.com/2020/12/mediapipe-holistic-simultaneous-face.html)
     in Google AI Blog
 *   [Background Features in Google Meet, Powered by Web ML](https://ai.googleblog.com/2020/10/background-features-in-google-meet.html)

WORKSPACE

@@ -35,8 +35,8 @@ http_archive(
 
 http_archive(
     name = "rules_cc",
-    strip_prefix = "rules_cc-master",
-    urls = ["https://github.com/bazelbuild/rules_cc/archive/master.zip"],
+    strip_prefix = "rules_cc-main",
+    urls = ["https://github.com/bazelbuild/rules_cc/archive/main.zip"],
 )
 
 http_archive(
@@ -53,26 +53,19 @@ rules_foreign_cc_dependencies()
 all_content = """filegroup(name = "all", srcs = glob(["**"]), visibility = ["//visibility:public"])"""
 
 # GoogleTest/GoogleMock framework. Used by most unit-tests.
-# Last updated 2020-06-30.
+# Last updated 2021-07-02.
 http_archive(
     name = "com_google_googletest",
-    urls = ["https://github.com/google/googletest/archive/aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e.zip"],
-    patches = [
-        # fix for https://github.com/google/googletest/issues/2817
-        "@//third_party:com_google_googletest_9d580ea80592189e6d44fa35bcf9cdea8bf620d6.diff"
-    ],
-    patch_args = [
-        "-p1",
-    ],
-    strip_prefix = "googletest-aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e",
-    sha256 = "04a1751f94244307cebe695a69cc945f9387a80b0ef1af21394a490697c5c895",
+    urls = ["https://github.com/google/googletest/archive/4ec4cd23f486bf70efcc5d2caa40f24368f752e3.zip"],
+    strip_prefix = "googletest-4ec4cd23f486bf70efcc5d2caa40f24368f752e3",
+    sha256 = "de682ea824bfffba05b4e33b67431c247397d6175962534305136aa06f92e049",
 )
 
 # Google Benchmark library.
 http_archive(
     name = "com_google_benchmark",
-    urls = ["https://github.com/google/benchmark/archive/master.zip"],
-    strip_prefix = "benchmark-master",
+    urls = ["https://github.com/google/benchmark/archive/main.zip"],
+    strip_prefix = "benchmark-main",
     build_file = "@//third_party:benchmark.BUILD",
 )
 
@@ -120,7 +113,8 @@ http_archive(
 # libyuv
 http_archive(
     name = "libyuv",
-    urls = ["https://chromium.googlesource.com/libyuv/libyuv/+archive/refs/heads/master.tar.gz"],
+    # Error: operand type mismatch for `vbroadcastss' caused by commit 8a13626e42f7fdcf3a6acbb0316760ee54cda7d8.
+    urls = ["https://chromium.googlesource.com/libyuv/libyuv/+archive/2525698acba9bf9b701ba6b4d9584291a1f62257.tar.gz"],
     build_file = "@//third_party:libyuv.BUILD",
 )
 
@@ -163,11 +157,11 @@ http_archive(
 http_archive(
     name = "pybind11",
     urls = [
-        "https://storage.googleapis.com/mirror.tensorflow.org/github.com/pybind/pybind11/archive/v2.4.3.tar.gz",
-        "https://github.com/pybind/pybind11/archive/v2.4.3.tar.gz",
+        "https://storage.googleapis.com/mirror.tensorflow.org/github.com/pybind/pybind11/archive/v2.7.1.tar.gz",
+        "https://github.com/pybind/pybind11/archive/v2.7.1.tar.gz",
     ],
-    sha256 = "1eed57bc6863190e35637290f97a20c81cfe4d9090ac0a24f3bbf08f265eb71d",
-    strip_prefix = "pybind11-2.4.3",
+    sha256 = "616d1c42e4cf14fa27b2a4ff759d7d7b33006fdc5ad8fd603bb2c22622f27020",
+    strip_prefix = "pybind11-2.7.1",
     build_file = "@pybind11_bazel//:pybind11.BUILD",
 )
 
@@ -241,6 +235,20 @@ http_archive(
     url = "https://github.com/opencv/opencv/releases/download/3.2.0/opencv-3.2.0-ios-framework.zip",
 )
 
+http_archive(
+    name = "stblib",
+    strip_prefix = "stb-b42009b3b9d4ca35bc703f5310eedc74f584be58",
+    sha256 = "13a99ad430e930907f5611325ec384168a958bf7610e63e60e2fd8e7b7379610",
+    urls = ["https://github.com/nothings/stb/archive/b42009b3b9d4ca35bc703f5310eedc74f584be58.tar.gz"],
+    build_file = "@//third_party:stblib.BUILD",
+    patches = [
+        "@//third_party:stb_image_impl.diff"
+    ],
+    patch_args = [
+        "-p1",
+    ],
+)
+
 # You may run setup_android.sh to install Android SDK and NDK.
 android_ndk_repository(
     name = "androidndk",
@@ -323,7 +331,9 @@ load("@rules_jvm_external//:defs.bzl", "maven_install")
 maven_install(
     artifacts = [
         "androidx.concurrent:concurrent-futures:1.0.0-alpha03",
-        "androidx.lifecycle:lifecycle-common:2.2.0",
+        "androidx.lifecycle:lifecycle-common:2.3.1",
+        "androidx.activity:activity:1.2.2",
+        "androidx.fragment:fragment:1.3.4",
         "androidx.annotation:annotation:aar:1.1.0",
         "androidx.appcompat:appcompat:aar:1.1.0-rc01",
         "androidx.camera:camera-core:1.0.0-beta10",
@@ -336,9 +346,11 @@ maven_install(
         "androidx.test.espresso:espresso-core:3.1.1",
         "com.github.bumptech.glide:glide:4.11.0",
         "com.google.android.material:material:aar:1.0.0-rc01",
-        "com.google.code.findbugs:jsr305:3.0.2",
-        "com.google.flogger:flogger-system-backend:0.3.1",
-        "com.google.flogger:flogger:0.3.1",
+        "com.google.auto.value:auto-value:1.8.1",
+        "com.google.auto.value:auto-value-annotations:1.8.1",
+        "com.google.code.findbugs:jsr305:latest.release",
+        "com.google.flogger:flogger-system-backend:latest.release",
+        "com.google.flogger:flogger:latest.release",
         "com.google.guava:guava:27.0.1-android",
         "com.google.guava:listenablefuture:1.0",
         "junit:junit:4.12",
@@ -366,9 +378,9 @@ http_archive(
 )
 
 # Tensorflow repo should always go after the other external dependencies.
-# 2021-03-25
-_TENSORFLOW_GIT_COMMIT = "c67f68021824410ebe9f18513b8856ac1c6d4887"
-_TENSORFLOW_SHA256= "fd07d0b39422dc435e268c5e53b2646a8b4b1e3151b87837b43f86068faae87f"
+# 2021-07-29
+_TENSORFLOW_GIT_COMMIT = "52a2905cbc21034766c08041933053178c5d10e3"
+_TENSORFLOW_SHA256 = "06d4691bcdb700f3275fa0971a1585221c2b9f3dffe867963be565a6643d7f56"
 http_archive(
     name = "org_tensorflow",
     urls = [
@@ -389,3 +401,18 @@ load("@org_tensorflow//tensorflow:workspace3.bzl", "tf_workspace3")
 tf_workspace3()
 load("@org_tensorflow//tensorflow:workspace2.bzl", "tf_workspace2")
 tf_workspace2()
+
+# Edge TPU
+http_archive(
+  name = "libedgetpu",
+  sha256 = "14d5527a943a25bc648c28a9961f954f70ba4d79c0a9ca5ae226e1831d72fe80",
+  strip_prefix = "libedgetpu-3164995622300286ef2bb14d7fdc2792dae045b7",
+  urls = [
+    "https://github.com/google-coral/libedgetpu/archive/3164995622300286ef2bb14d7fdc2792dae045b7.tar.gz"
+  ],
+)
+load("@libedgetpu//:workspace.bzl", "libedgetpu_dependencies")
+libedgetpu_dependencies()
+
+load("@coral_crosstool//:configure.bzl", "cc_crosstool")
+cc_crosstool(name = "crosstool")

build_desktop_examples.sh

@@ -17,15 +17,15 @@
 # Script to build/run all MediaPipe desktop example apps (with webcam input).
 #
 # To build and run all apps and store them in out_dir:
-#   $ ./build_ios_examples.sh -d out_dir
+#   $ ./build_desktop_examples.sh -d out_dir
 #   Omitting -d and the associated directory saves all generated apps in the
 #   current directory.
 # To build all apps and store them in out_dir:
-#   $ ./build_ios_examples.sh -d out_dir -b
+#   $ ./build_desktop_examples.sh -d out_dir -b
 #   Omitting -d and the associated directory saves all generated apps in the
 #   current directory.
 # To run all apps already stored in out_dir:
-#   $ ./build_ios_examples.sh -d out_dir -r
+#   $ ./build_desktop_examples.sh -d out_dir -r
 #   Omitting -d and the associated directory assumes all apps are in the current
 #   directory.
 
@@ -97,6 +97,7 @@ for app in ${apps}; do
       if [[ ${target_name} == "holistic_tracking" ||
             ${target_name} == "iris_tracking" ||
             ${target_name} == "pose_tracking" ||
+            ${target_name} == "selfie_segmentation" ||
             ${target_name} == "upper_body_pose_tracking" ]]; then
         graph_suffix="cpu"
       else

docs/framework_concepts/calculators.md

@@ -187,7 +187,7 @@ node {
 ```
 
 In the calculator implementation, inputs and outputs are also identified by tag
-name and index number. In the function below input are output are identified:
+name and index number. In the function below input and output are identified:
 
 *   By index number: The combined input stream is identified simply by index
     `0`.
@@ -248,12 +248,70 @@ absl::Status MyCalculator::Process() {
 }
 ```
 
+## Calculator options
+
+Calculators accept processing parameters through (1) input stream packets (2)
+input side packets, and (3) calculator options. Calculator options, if
+specified, appear as literal values in the `node_options` field of the
+`CalculatorGraphConfiguration.Node` message.
+
+```
+  node {
+    calculator: "TfLiteInferenceCalculator"
+    input_stream: "TENSORS:main_model_input"
+    output_stream: "TENSORS:main_model_output"
+    node_options: {
+      [type.googleapis.com/mediapipe.TfLiteInferenceCalculatorOptions] {
+        model_path: "mediapipe/models/detection_model.tflite"
+      }
+    }
+  }
+```
+
+The `node_options` field accepts the proto3 syntax.  Alternatively, calculator
+options can be specified in the `options` field using proto2 syntax.
+
+```
+  node {
+    calculator: "TfLiteInferenceCalculator"
+    input_stream: "TENSORS:main_model_input"
+    output_stream: "TENSORS:main_model_output"
+    node_options: {
+      [type.googleapis.com/mediapipe.TfLiteInferenceCalculatorOptions] {
+        model_path: "mediapipe/models/detection_model.tflite"
+      }
+    }
+  }
+```
+
+Not all calculators accept calcuator options. In order to accept options, a
+calculator will normally define a new protobuf message type to represent its
+options, such as `PacketClonerCalculatorOptions`. The calculator will then
+read that protobuf message in its `CalculatorBase::Open` method, and possibly
+also in its `CalculatorBase::GetContract` function or its
+`CalculatorBase::Process` method. Normally, the new protobuf message type will
+be defined as a protobuf schema using a ".proto" file and a
+`mediapipe_proto_library()` build rule.
+
+```
+  mediapipe_proto_library(
+      name = "packet_cloner_calculator_proto",
+      srcs = ["packet_cloner_calculator.proto"],
+      visibility = ["//visibility:public"],
+      deps = [
+          "//mediapipe/framework:calculator_options_proto",
+          "//mediapipe/framework:calculator_proto",
+      ],
+  )
+```
+
+
 ## Example calculator
 
 This section discusses the implementation of `PacketClonerCalculator`, which
 does a relatively simple job, and is used in many calculator graphs.
-`PacketClonerCalculator` simply produces a copy of its most recent input
-packets on demand.
+`PacketClonerCalculator` simply produces a copy of its most recent input packets
+on demand.
 
 `PacketClonerCalculator` is useful when the timestamps of arriving data packets
 are not aligned perfectly. Suppose we have a room with a microphone, light
@@ -279,8 +337,8 @@ input streams:
     imageframe of video data representing video collected from camera in the
     room with timestamp.
 
-Below is the implementation of the `PacketClonerCalculator`.  You can see
-the `GetContract()`, `Open()`, and `Process()` methods as well as the instance
+Below is the implementation of the `PacketClonerCalculator`. You can see the
+`GetContract()`, `Open()`, and `Process()` methods as well as the instance
 variable `current_` which holds the most recent input packets.
 
 ```c++
@@ -355,7 +413,6 @@ class PacketClonerCalculator : public CalculatorBase {
               current_[i].At(cc->InputTimestamp()));
           // Add a packet to output stream of index i a packet from inputstream i
           // with timestamp common to all present inputs
-          //
         } else {
           cc->Outputs().Index(i).SetNextTimestampBound(
               cc->InputTimestamp().NextAllowedInStream());
@@ -382,7 +439,7 @@ defined your calculator class, register it with a macro invocation
 REGISTER_CALCULATOR(calculator_class_name).
 
 Below is a trivial MediaPipe graph that has 3 input streams, 1 node
-(PacketClonerCalculator) and 3 output streams.
+(PacketClonerCalculator) and 2 output streams.
 
 ```proto
 input_stream: "room_mic_signal"
@@ -402,6 +459,6 @@ node {
 The diagram below shows how the `PacketClonerCalculator` defines its output
 packets (bottom) based on its series of input packets (top).
 
-| ![Graph using PacketClonerCalculator](../images/packet_cloner_calculator.png) |
-| :---------------------------------------------------------------------------: |
-| *Each time it receives a packet on its TICK input stream, the PacketClonerCalculator outputs the most recent packet from each of its input streams. The sequence of output packets (bottom) is determined by the sequence of input packets (top) and their timestamps. The timestamps are shown along the right side of the diagram.* |
+![Graph using PacketClonerCalculator](../images/packet_cloner_calculator.png)  |
+:--------------------------------------------------------------------------: |
+*Each time it receives a packet on its TICK input stream, the PacketClonerCalculator outputs the most recent packet from each of its input streams. The sequence of output packets (bottom) is determined by the sequence of input packets (top) and their timestamps. The timestamps are shown along the right side of the diagram.* |

docs/framework_concepts/framework_concepts.md

@@ -110,3 +110,12 @@ Other policies are also available, implemented using a separate kind of
 component known as an InputStreamHandler.
 
 See [Synchronization](synchronization.md) for more details.
+
+### Real-time streams
+
+MediaPipe calculator graphs are often used to process streams of video or audio
+frames for interactive applications. Normally, each Calculator runs as soon as
+all of its input packets for a given timestamp become available. Calculators
+used in real-time graphs need to define output timestamp bounds based on input
+timestamp bounds in order to allow downstream calculators to be scheduled
+promptly. See [Real-time Streams](realtime_streams.md) for details.

docs/framework_concepts/graphs.md

@@ -83,12 +83,12 @@ Below is an example of how to create a subgraph named `TwoPassThroughSubgraph`.
     output_stream: "out3"
 
     node {
-        calculator: "PassThroughculator"
+        calculator: "PassThroughCalculator"
         input_stream: "out1"
         output_stream: "out2"
     }
     node {
-        calculator: "PassThroughculator"
+        calculator: "PassThroughCalculator"
         input_stream: "out2"
         output_stream: "out3"
     }

docs/framework_concepts/realtime_streams.md

@@ -0,0 +1,186 @@
+---
+layout: default
+title: Real-time Streams
+parent: Framework Concepts
+nav_order: 6
+---
+
+# Real-time Streams
+{: .no_toc }
+
+1. TOC
+{:toc}
+---
+
+## Real-time timestamps
+
+MediaPipe calculator graphs are often used to process streams of video or audio
+frames for interactive applications. The MediaPipe framework requires only that
+successive packets be assigned monotonically increasing timestamps. By
+convention, real-time calculators and graphs use the recording time or the
+presentation time of each frame as its timestamp, with each timestamp indicating
+the microseconds since `Jan/1/1970:00:00:00`. This allows packets from various
+sources to be processed in a globally consistent sequence.
+
+## Real-time scheduling
+
+Normally, each Calculator runs as soon as all of its input packets for a given
+timestamp become available. Normally, this happens when the calculator has
+finished processing the previous frame, and each of the calculators producing
+its inputs have finished processing the current frame. The MediaPipe scheduler
+invokes each calculator as soon as these conditions are met. See
+[Synchronization](synchronization.md) for more details.
+
+## Timestamp bounds
+
+When a calculator does not produce any output packets for a given timestamp, it
+can instead output a "timestamp bound" indicating that no packet will be
+produced for that timestamp. This indication is necessary to allow downstream
+calculators to run at that timestamp, even though no packet has arrived for
+certain streams for that timestamp. This is especially important for real-time
+graphs in interactive applications, where it is crucial that each calculator
+begin processing as soon as possible.
+
+Consider a graph like the following:
+
+```
+node {
+   calculator: "A"
+   input_stream: "alpha_in"
+   output_stream: "alpha"
+}
+node {
+   calculator: "B"
+   input_stream: "alpha"
+   input_stream: "foo"
+   output_stream: "beta"
+}
+```
+
+Suppose: at timestamp `T`, node `A` doesn't send a packet in its output stream
+`alpha`. Node `B` gets a packet in `foo` at timestamp `T` and is waiting for a
+packet in `alpha` at timestamp `T`. If `A` doesn't send `B` a timestamp bound
+update for `alpha`, `B` will keep waiting for a packet to arrive in `alpha`.
+Meanwhile, the packet queue of `foo` will accumulate packets at `T`, `T+1` and
+so on.
+
+To output a packet on a stream, a calculator uses the API functions
+`CalculatorContext::Outputs` and `OutputStream::Add`. To instead output a
+timestamp bound on a stream, a calculator can use the API functions
+`CalculatorContext::Outputs` and `CalculatorContext::SetNextTimestampBound`. The
+specified bound is the lowest allowable timestamp for the next packet on the
+specified output stream. When no packet is output, a calculator will typically
+do something like:
+
+```
+cc->Outputs().Tag("output_frame").SetNextTimestampBound(
+  cc->InputTimestamp().NextAllowedInStream());
+```
+
+The function `Timestamp::NextAllowedInStream` returns the successive timestamp.
+For example, `Timestamp(1).NextAllowedInStream() == Timestamp(2)`.
+
+## Propagating timestamp bounds
+
+Calculators that will be used in real-time graphs need to define output
+timestamp bounds based on input timestamp bounds in order to allow downstream
+calculators to be scheduled promptly. A common pattern is for calculators to
+output packets with the same timestamps as their input packets. In this case,
+simply outputting a packet on every call to `Calculator::Process` is sufficient
+to define output timestamp bounds.
+
+However, calculators are not required to follow this common pattern for output
+timestamps, they are only required to choose monotonically increasing output
+timestamps. As a result, certain calculators must calculate timestamp bounds
+explicitly. MediaPipe provides several tools for computing appropriate timestamp
+bound for each calculator.
+
+1\. **SetNextTimestampBound()** can be used to specify the timestamp bound, `t +
+1`, for an output stream.
+
+```
+cc->Outputs.Tag("OUT").SetNextTimestampBound(t.NextAllowedInStream());
+```
+
+Alternatively, an empty packet with timestamp `t` can be produced to specify the
+timestamp bound `t + 1`.
+
+```
+cc->Outputs.Tag("OUT").Add(Packet(), t);
+```
+
+The timestamp bound of an input stream is indicated by the packet or the empty
+packet on the input stream.
+
+```
+Timestamp bound = cc->Inputs().Tag("IN").Value().Timestamp();
+```
+
+2\. **TimestampOffset()** can be specified in order to automatically copy the
+timestamp bound from input streams to output streams.
+
+```
+cc->SetTimestampOffset(0);
+```
+
+This setting has the advantage of propagating timestamp bounds automatically,
+even when only timestamp bounds arrive and Calculator::Process is not invoked.
+
+3\. **ProcessTimestampBounds()** can be specified in order to invoke
+`Calculator::Process` for each new "settled timestamp", where the "settled
+timestamp" is the new highest timestamp below the current timestamp bounds.
+Without `ProcessTimestampBounds()`, `Calculator::Process` is invoked only with
+one or more arriving packets.
+
+```
+cc->SetProcessTimestampBounds(true);
+```
+
+This setting allows a calculator to perform its own timestamp bounds calculation
+and propagation, even when only input timestamps are updated. It can be used to
+replicate the effect of `TimestampOffset()`, but it can also be used to
+calculate a timestamp bound that takes into account additional factors.
+
+For example, in order to replicate `SetTimestampOffset(0)`, a calculator could
+do the following:
+
+```
+absl::Status Open(CalculatorContext* cc) {
+  cc->SetProcessTimestampBounds(true);
+}
+
+absl::Status Process(CalculatorContext* cc) {
+  cc->Outputs.Tag("OUT").SetNextTimestampBound(
+      cc->InputTimestamp().NextAllowedInStream());
+}
+```
+
+## Scheduling of Calculator::Open and Calculator::Close
+
+`Calculator::Open` is invoked when all required input side-packets have been
+produced. Input side-packets can be provided by the enclosing application or by
+"side-packet calculators" inside the graph. Side-packets can be specified from
+outside the graph using the API's `CalculatorGraph::Initialize` and
+`CalculatorGraph::StartRun`. Side packets can be specified by calculators within
+the graph using `CalculatorGraphConfig::OutputSidePackets` and
+`OutputSidePacket::Set`.
+
+Calculator::Close is invoked when all of the input streams have become `Done` by
+being closed or reaching timestamp bound `Timestamp::Done`.
+
+**Note:** If the graph finishes all pending calculator execution and becomes
+`Done`, before some streams become `Done`, then MediaPipe will invoke the
+remaining calls to `Calculator::Close`, so that every calculator can produce its
+final outputs.
+
+The use of `TimestampOffset` has some implications for `Calculator::Close`. A
+calculator specifying `SetTimestampOffset(0)` will by design signal that all of
+its output streams have reached `Timestamp::Done` when all of its input streams
+have reached `Timestamp::Done`, and therefore no further outputs are possible.
+This prevents such a calculator from emitting any packets during
+`Calculator::Close`. If a calculator needs to produce a summary packet during
+`Calculator::Close`, `Calculator::Process` must specify timestamp bounds such
+that at least one timestamp (such as `Timestamp::Max`) remains available during
+`Calculator::Close`. This means that such a calculator normally cannot rely upon
+`SetTimestampOffset(0)` and must instead specify timestamp bounds explicitly
+using `SetNextTimestampBounds()`.

docs/getting_started/android.md

@@ -16,12 +16,14 @@ nav_order: 1
 
 Please follow instructions below to build Android example apps in the supported
 MediaPipe [solutions](../solutions/solutions.md). To learn more about these
-example apps, start from [Hello World! on Android](./hello_world_android.md). To
-incorporate MediaPipe into an existing Android Studio project, see these
-[instructions](./android_archive_library.md) that use Android Archive (AAR) and
-Gradle.
+example apps, start from [Hello World! on Android](./hello_world_android.md).
 
-## Building Android example apps
+To incorporate MediaPipe into Android Studio projects, see these
+[instructions](./android_solutions.md) to use the MediaPipe Android Solution
+APIs (currently in alpha) that are now available in
+[Google's Maven Repository](https://maven.google.com/web/index.html?#com.google.mediapipe).
+
+## Building Android example apps with Bazel
 
 ### Prerequisite
 
@@ -51,16 +53,6 @@ $YOUR_INTENDED_API_LEVEL` in android_ndk_repository() and/or
 android_sdk_repository() in the
 [`WORKSPACE`](https://github.com/google/mediapipe/blob/master/WORKSPACE) file.
 
-Please verify all the necessary packages are installed.
-
-*   Android SDK Platform API Level 28 or 29
-*   Android SDK Build-Tools 28 or 29
-*   Android SDK Platform-Tools 28 or 29
-*   Android SDK Tools 26.1.1
-*   Android NDK 17c or above
-
-### Option 1: Build with Bazel in Command Line
-
 Tip: You can run this
 [script](https://github.com/google/mediapipe/blob/master/build_android_examples.sh)
 to build (and install) all MediaPipe Android example apps.
@@ -84,108 +76,3 @@ to build (and install) all MediaPipe Android example apps.
     ```bash
     adb install bazel-bin/mediapipe/examples/android/src/java/com/google/mediapipe/apps/handtrackinggpu/handtrackinggpu.apk
     ```
-
-### Option 2: Build with Bazel in Android Studio
-
-The MediaPipe project can be imported into Android Studio using the Bazel
-plugins. This allows the MediaPipe examples to be built and modified in Android
-Studio.
-
-To incorporate MediaPipe into an existing Android Studio project, see these
-[instructions](./android_archive_library.md) that use Android Archive (AAR) and
-Gradle.
-
-The steps below use Android Studio 3.5 to build and install a MediaPipe example
-app:
-
-1.  Install and launch Android Studio 3.5.
-
-2.  Select `Configure` -> `SDK Manager` -> `SDK Platforms`.
-
-    *   Verify that Android SDK Platform API Level 28 or 29 is installed.
-    *   Take note of the Android SDK Location, e.g.,
-        `/usr/local/home/Android/Sdk`.
-
-3.  Select `Configure` -> `SDK Manager` -> `SDK Tools`.
-
-    *   Verify that Android SDK Build-Tools 28 or 29 is installed.
-    *   Verify that Android SDK Platform-Tools 28 or 29 is installed.
-    *   Verify that Android SDK Tools 26.1.1 is installed.
-    *   Verify that Android NDK 17c or above is installed.
-    *   Take note of the Android NDK Location, e.g.,
-        `/usr/local/home/Android/Sdk/ndk-bundle` or
-        `/usr/local/home/Android/Sdk/ndk/20.0.5594570`.
-
-4.  Set environment variables `$ANDROID_HOME` and `$ANDROID_NDK_HOME` to point
-    to the installed SDK and NDK.
-
-    ```bash
-    export ANDROID_HOME=/usr/local/home/Android/Sdk
-
-    # If the NDK libraries are installed by a previous version of Android Studio, do
-    export ANDROID_NDK_HOME=/usr/local/home/Android/Sdk/ndk-bundle
-    # If the NDK libraries are installed by Android Studio 3.5, do
-    export ANDROID_NDK_HOME=/usr/local/home/Android/Sdk/ndk/<version number>
-    ```
-
-5.  Select `Configure` -> `Plugins` to install `Bazel`.
-
-6.  On Linux, select `File` -> `Settings` -> `Bazel settings`. On macos, select
-    `Android Studio` -> `Preferences` -> `Bazel settings`. Then, modify `Bazel
-    binary location` to be the same as the output of `$ which bazel`.
-
-7.  Select `Import Bazel Project`.
-
-    *   Select `Workspace`: `/path/to/mediapipe` and select `Next`.
-    *   Select `Generate from BUILD file`: `/path/to/mediapipe/BUILD` and select
-        `Next`.
-    *   Modify `Project View` to be the following and select `Finish`.
-
-    ```
-    directories:
-      # read project settings, e.g., .bazelrc
-      .
-      -mediapipe/objc
-      -mediapipe/examples/ios
-
-    targets:
-      //mediapipe/examples/android/...:all
-      //mediapipe/java/...:all
-
-    android_sdk_platform: android-29
-
-    sync_flags:
-      --host_crosstool_top=@bazel_tools//tools/cpp:toolchain
-    ```
-
-8.  Select `Bazel` -> `Sync` -> `Sync project with Build files`.
-
-    Note: Even after doing step 4, if you still see the error: `"no such package
-    '@androidsdk//': Either the path attribute of android_sdk_repository or the
-    ANDROID_HOME environment variable must be set."`, please modify the
-    [`WORKSPACE`](https://github.com/google/mediapipe/blob/master/WORKSPACE)
-    file to point to your SDK and NDK library locations, as below:
-
-    ```
-    android_sdk_repository(
-        name = "androidsdk",
-        path = "/path/to/android/sdk"
-    )
-
-    android_ndk_repository(
-        name = "androidndk",
-        path = "/path/to/android/ndk"
-    )
-    ```
-
-9.  Connect an Android device to the workstation.
-
-10. Select `Run...` -> `Edit Configurations...`.
-
-    *   Select `Templates` -> `Bazel Command`.
-    *   Enter Target Expression:
-        `//mediapipe/examples/android/src/java/com/google/mediapipe/apps/handtrackinggpu:handtrackinggpu`
-    *   Enter Bazel command: `mobile-install`.
-    *   Enter Bazel flags: `-c opt --config=android_arm64`.
-    *   Press the `[+]` button to add the new configuration.
-    *   Select `Run` to run the example app on the connected Android device.

docs/getting_started/android_archive_library.md

@@ -3,7 +3,7 @@ layout: default
 title: MediaPipe Android Archive
 parent: MediaPipe on Android
 grand_parent: Getting Started
-nav_order: 2
+nav_order: 3
 ---
 
 # MediaPipe Android Archive
@@ -37,7 +37,7 @@ each project.
     load("//mediapipe/java/com/google/mediapipe:mediapipe_aar.bzl", "mediapipe_aar")
 
     mediapipe_aar(
-        name = "mp_face_detection_aar",
+        name = "mediapipe_face_detection",
         calculators = ["//mediapipe/graphs/face_detection:mobile_calculators"],
     )
     ```
@@ -45,26 +45,29 @@ each project.
 2.  Run the Bazel build command to generate the AAR.
 
     ```bash
-    bazel build -c opt --host_crosstool_top=@bazel_tools//tools/cpp:toolchain \
-        --fat_apk_cpu=arm64-v8a,armeabi-v7a --strip=ALWAYS \
-        //path/to/the/aar/build/file:aar_name
+    bazel build -c opt --strip=ALWAYS \
+        --host_crosstool_top=@bazel_tools//tools/cpp:toolchain \
+        --fat_apk_cpu=arm64-v8a,armeabi-v7a \
+        //path/to/the/aar/build/file:aar_name.aar
     ```
 
-    For the face detection AAR target we made in the step 1, run:
+    For the face detection AAR target we made in step 1, run:
 
     ```bash
-    bazel build -c opt --host_crosstool_top=@bazel_tools//tools/cpp:toolchain --fat_apk_cpu=arm64-v8a,armeabi-v7a \
-        //mediapipe/examples/android/src/java/com/google/mediapipe/apps/aar_example:mp_face_detection_aar
+    bazel build -c opt --strip=ALWAYS \
+        --host_crosstool_top=@bazel_tools//tools/cpp:toolchain \
+        --fat_apk_cpu=arm64-v8a,armeabi-v7a \
+        //mediapipe/examples/android/src/java/com/google/mediapipe/apps/aar_example:mediapipe_face_detection.aar
 
     # It should print:
-    # Target //mediapipe/examples/android/src/java/com/google/mediapipe/apps/aar_example:mp_face_detection_aar up-to-date:
-    # bazel-bin/mediapipe/examples/android/src/java/com/google/mediapipe/apps/aar_example/mp_face_detection_aar.aar
+    # Target //mediapipe/examples/android/src/java/com/google/mediapipe/apps/aar_example:mediapipe_face_detection.aar up-to-date:
+    # bazel-bin/mediapipe/examples/android/src/java/com/google/mediapipe/apps/aar_example/mediapipe_face_detection.aar
     ```
 
 3.  (Optional) Save the AAR to your preferred location.
 
     ```bash
-    cp bazel-bin/mediapipe/examples/android/src/java/com/google/mediapipe/apps/aar_example/mp_face_detection_aar.aar
+    cp bazel-bin/mediapipe/examples/android/src/java/com/google/mediapipe/apps/aar_example/mediapipe_face_detection.aar
     /absolute/path/to/your/preferred/location
     ```
 
@@ -75,7 +78,7 @@ each project.
 2.  Copy the AAR into app/libs.
 
     ```bash
-    cp bazel-bin/mediapipe/examples/android/src/java/com/google/mediapipe/apps/aar_example/mp_face_detection_aar.aar
+    cp bazel-bin/mediapipe/examples/android/src/java/com/google/mediapipe/apps/aar_example/mediapipe_face_detection.aar
     /path/to/your/app/libs/
     ```
 
@@ -89,32 +92,17 @@ each project.
     and copy
     [the binary graph](https://github.com/google/mediapipe/blob/master/mediapipe/examples/android/src/java/com/google/mediapipe/apps/facedetectiongpu/BUILD#L41)
     and
-    [the face detection tflite model](https://github.com/google/mediapipe/tree/master/mediapipe/modules/face_detection/face_detection_front.tflite).
+    [the face detection tflite model](https://github.com/google/mediapipe/tree/master/mediapipe/modules/face_detection/face_detection_short_range.tflite).
 
     ```bash
-    bazel build -c opt mediapipe/mediapipe/graphs/face_detection:mobile_gpu_binary_graph
-    cp bazel-bin/mediapipe/graphs/face_detection/mobile_gpu.binarypb /path/to/your/app/src/main/assets/
-    cp mediapipe/modules/face_detection/face_detection_front.tflite /path/to/your/app/src/main/assets/
+    bazel build -c opt mediapipe/graphs/face_detection:face_detection_mobile_gpu_binary_graph
+    cp bazel-bin/mediapipe/graphs/face_detection/face_detection_mobile_gpu.binarypb /path/to/your/app/src/main/assets/
+    cp mediapipe/modules/face_detection/face_detection_short_range.tflite /path/to/your/app/src/main/assets/
     ```
 
     ![Screenshot](../images/mobile/assets_location.png)
 
-4.  Make app/src/main/jniLibs and copy OpenCV JNI libraries into
-    app/src/main/jniLibs.
-
-    MediaPipe depends on OpenCV, you will need to copy the precompiled OpenCV so
-    files into app/src/main/jniLibs. You can download the official OpenCV
-    Android SDK from
-    [here](https://github.com/opencv/opencv/releases/download/3.4.3/opencv-3.4.3-android-sdk.zip)
-    and run:
-
-    ```bash
-    cp -R ~/Downloads/OpenCV-android-sdk/sdk/native/libs/arm* /path/to/your/app/src/main/jniLibs/
-    ```
-
-    ![Screenshot](../images/mobile/android_studio_opencv_location.png)
-
-5.  Modify app/build.gradle to add MediaPipe dependencies and MediaPipe AAR.
+4.  Modify app/build.gradle to add MediaPipe dependencies and MediaPipe AAR.
 
     ```
     dependencies {
@@ -125,10 +113,9 @@ each project.
         androidTestImplementation 'androidx.test.ext:junit:1.1.0'
         androidTestImplementation 'androidx.test.espresso:espresso-core:3.1.1'
         // MediaPipe deps
-        implementation 'com.google.flogger:flogger:0.3.1'
-        implementation 'com.google.flogger:flogger-system-backend:0.3.1'
-        implementation 'com.google.code.findbugs:jsr305:3.0.2'
-        implementation 'com.google.guava:guava:27.0.1-android'
+        implementation 'com.google.flogger:flogger:latest.release'
+        implementation 'com.google.flogger:flogger-system-backend:latest.release'
+        implementation 'com.google.code.findbugs:jsr305:latest.release'
         implementation 'com.google.guava:guava:27.0.1-android'
         implementation 'com.google.protobuf:protobuf-java:3.11.4'
         // CameraX core library
@@ -136,10 +123,14 @@ each project.
         implementation "androidx.camera:camera-core:$camerax_version"
         implementation "androidx.camera:camera-camera2:$camerax_version"
         implementation "androidx.camera:camera-lifecycle:$camerax_version"
+        // AutoValue
+        def auto_value_version = "1.8.1"
+        implementation "com.google.auto.value:auto-value-annotations:$auto_value_version"
+        annotationProcessor "com.google.auto.value:auto-value:$auto_value_version"
     }
     ```
 
-6.  Follow our Android app examples to use MediaPipe in Android Studio for your
+5.  Follow our Android app examples to use MediaPipe in Android Studio for your
     use case. If you are looking for an example, a face detection example can be
     found
     [here](https://github.com/jiuqiant/mediapipe_face_detection_aar_example) and

docs/getting_started/android_solutions.md

@@ -0,0 +1,79 @@
+---
+layout: default
+title: Android Solutions
+parent: MediaPipe on Android
+grand_parent: Getting Started
+nav_order: 2
+---
+
+# Android Solution APIs
+{: .no_toc }
+
+1. TOC
+{:toc}
+---
+
+Please follow instructions below to use the MediaPipe Solution APIs in Android
+Studio projects and build the Android example apps in the supported MediaPipe
+[solutions](../solutions/solutions.md).
+
+## Integrate MediaPipe Android Solutions in Android Studio
+
+MediaPipe Android Solution APIs (currently in alpha) are now available in
+[Google's Maven Repository](https://maven.google.com/web/index.html?#com.google.mediapipe).
+To incorporate MediaPipe Android Solutions into an Android Studio project, add
+the following into the project's Gradle dependencies:
+
+```
+dependencies {
+    // MediaPipe solution-core is the foundation of any MediaPipe solutions.
+    implementation 'com.google.mediapipe:solution-core:latest.release'
+    // Optional: MediaPipe Hands solution.
+    implementation 'com.google.mediapipe:hands:latest.release'
+    // Optional: MediaPipe FaceMesh solution.
+    implementation 'com.google.mediapipe:facemesh:latest.release'
+    // MediaPipe deps
+    implementation 'com.google.flogger:flogger:latest.release'
+    implementation 'com.google.flogger:flogger-system-backend:latest.release'
+    implementation 'com.google.guava:guava:27.0.1-android'
+    implementation 'com.google.protobuf:protobuf-java:3.11.4'
+    // CameraX core library
+    def camerax_version = "1.0.0-beta10"
+    implementation "androidx.camera:camera-core:$camerax_version"
+    implementation "androidx.camera:camera-camera2:$camerax_version"
+    implementation "androidx.camera:camera-lifecycle:$camerax_version"
+}
+```
+
+See the detailed solutions API usage examples for different use cases in the
+solution example apps'
+[source code](https://github.com/google/mediapipe/tree/master/mediapipe/examples/android/solutions).
+If the prebuilt maven packages are not sufficient, building the MediaPipe
+Android archive library locally by following these
+[instructions](./android_archive_library.md).
+
+## Build solution example apps in Android Studio
+
+1.  Open Android Studio Arctic Fox on Linux, macOS, or Windows.
+
+2.  Import mediapipe/examples/android/solutions directory into Android Studio.
+
+    ![Screenshot](../images/import_mp_android_studio_project.png)
+
+3.  For Windows users, run `create_win_symlinks.bat` as administrator to create
+    res directory symlinks.
+
+    ![Screenshot](../images/run_create_win_symlinks.png)
+
+4.  Select "File" -> "Sync Project with Gradle Files" to sync project.
+
+5.  Run solution example app in Android Studio.
+
+    ![Screenshot](../images/run_android_solution_app.png)
+
+6.  (Optional) Run solutions on CPU.
+
+    MediaPipe solution example apps run the pipeline and the model inference on
+    GPU by default. If needed, for example to run the apps on Android Emulator,
+    set the `RUN_ON_GPU` boolean variable to `false` in the app's
+    MainActivity.java to run the pipeline and the model inference on CPU.

docs/getting_started/hello_world_android.md

@@ -31,8 +31,8 @@ stream on an Android device.
 
 ## Setup
 
-1.  Install MediaPipe on your system, see [MediaPipe installation guide] for
-    details.
+1.  Install MediaPipe on your system, see
+    [MediaPipe installation guide](./install.md) for details.
 2.  Install Android Development SDK and Android NDK. See how to do so also in
     [MediaPipe installation guide].
 3.  Enable [developer options] on your Android device.
@@ -770,7 +770,6 @@ If you ran into any issues, please see the full code of the tutorial
 [`ExternalTextureConverter`]:https://github.com/google/mediapipe/tree/master/mediapipe/java/com/google/mediapipe/components/ExternalTextureConverter.java
 [`FrameLayout`]:https://developer.android.com/reference/android/widget/FrameLayout
 [`FrameProcessor`]:https://github.com/google/mediapipe/tree/master/mediapipe/java/com/google/mediapipe/components/FrameProcessor.java
-[MediaPipe installation guide]:./install.md
 [`PermissionHelper`]: https://github.com/google/mediapipe/tree/master/mediapipe/java/com/google/mediapipe/components/PermissionHelper.java
 [`SurfaceHolder.Callback`]:https://developer.android.com/reference/android/view/SurfaceHolder.Callback.html
 [`SurfaceView`]:https://developer.android.com/reference/android/view/SurfaceView

docs/getting_started/hello_world_ios.md

@@ -31,8 +31,8 @@ stream on an iOS device.
 
 ## Setup
 
-1.  Install MediaPipe on your system, see [MediaPipe installation guide] for
-    details.
+1.  Install MediaPipe on your system, see
+    [MediaPipe installation guide](./install.md) for details.
 2.  Setup your iOS device for development.
 3.  Setup [Bazel] on your system to build and deploy the iOS app.
 
@@ -113,6 +113,10 @@ bazel to build the iOS application. The content of the
 5.  `Main.storyboard` and `Launch.storyboard`
 6.  `Assets.xcassets` directory.
 
+Note: In newer versions of Xcode, you may see additional files `SceneDelegate.h`
+and `SceneDelegate.m`. Make sure to copy them too and add them to the `BUILD`
+file mentioned below.
+
 Copy these files to a directory named `HelloWorld` to a location that can access
 the MediaPipe source code. For example, the source code of the application that
 we will build in this tutorial is located in
@@ -247,6 +251,12 @@ We need to get frames from the `_cameraSource` into our application
 `MPPInputSourceDelegate`. So our application `ViewController` can be a delegate
 of `_cameraSource`.
 
+Update the interface definition of `ViewController` accordingly:
+
+```
+@interface ViewController () <MPPInputSourceDelegate>
+```
+
 To handle camera setup and process incoming frames, we should use a queue
 different from the main queue. Add the following to the implementation block of
 the `ViewController`:
@@ -288,6 +298,12 @@ utility called `MPPLayerRenderer` to display images on the screen. This utility
 can be used to display `CVPixelBufferRef` objects, which is the type of the
 images provided by `MPPCameraInputSource` to its delegates.
 
+In `ViewController.m`, add the following import line:
+
+```
+#import "mediapipe/objc/MPPLayerRenderer.h"
+```
+
 To display images of the screen, we need to add a new `UIView` object called
 `_liveView` to the `ViewController`.
 
@@ -411,6 +427,12 @@ Objective-C++.
 
 ### Use the graph in `ViewController`
 
+In `ViewController.m`, add the following import line:
+
+```
+#import "mediapipe/objc/MPPGraph.h"
+```
+
 Declare a static constant with the name of the graph, the input stream and the
 output stream:
 
@@ -549,6 +571,12 @@ method to receive packets on this output stream and display them on the screen:
 }
 ```
 
+Update the interface definition of `ViewController` with `MPPGraphDelegate`:
+
+```
+@interface ViewController () <MPPGraphDelegate, MPPInputSourceDelegate>
+```
+
 And that is all! Build and run the app on your iOS device. You should see the
 results of running the edge detection graph on a live video feed. Congrats!
 
@@ -560,6 +588,5 @@ appropriate `BUILD` file dependencies for the edge detection graph.
 
 [Bazel]:https://bazel.build/
 [`edge_detection_mobile_gpu.pbtxt`]:https://github.com/google/mediapipe/tree/master/mediapipe/graphs/edge_detection/edge_detection_mobile_gpu.pbtxt
-[MediaPipe installation guide]:./install.md
-[common]:(https://github.com/google/mediapipe/tree/master/mediapipe/examples/ios/common)
-[helloworld]:(https://github.com/google/mediapipe/tree/master/mediapipe/examples/ios/helloworld)
+[common]:https://github.com/google/mediapipe/tree/master/mediapipe/examples/ios/common
+[helloworld]:https://github.com/google/mediapipe/tree/master/mediapipe/examples/ios/helloworld

docs/getting_started/install.md

@@ -43,104 +43,189 @@ install --user six`.
 
 3.  Install OpenCV and FFmpeg.
 
-    Option 1. Use package manager tool to install the pre-compiled OpenCV
-    libraries. FFmpeg will be installed via libopencv-video-dev.
+    **Option 1**. Use package manager tool to install the pre-compiled OpenCV
+    libraries. FFmpeg will be installed via `libopencv-video-dev`.
 
-    Note: Debian 9 and Ubuntu 16.04 provide OpenCV 2.4.9. You may want to take
-    option 2 or 3 to install OpenCV 3 or above.
+    OS                   | OpenCV
+    -------------------- | ------
+    Debian 9 (stretch)   | 2.4
+    Debian 10 (buster)   | 3.2
+    Debian 11 (bullseye) | 4.5
+    Ubuntu 16.04 LTS     | 2.4
+    Ubuntu 18.04 LTS     | 3.2
+    Ubuntu 20.04 LTS     | 4.2
+    Ubuntu 20.04 LTS     | 4.2
+    Ubuntu 21.04         | 4.5
 
     ```bash
-    $ sudo apt-get install libopencv-core-dev libopencv-highgui-dev \
-                           libopencv-calib3d-dev libopencv-features2d-dev \
-                           libopencv-imgproc-dev libopencv-video-dev
+    $ sudo apt-get install -y \
+        libopencv-core-dev \
+        libopencv-highgui-dev \
+        libopencv-calib3d-dev \
+        libopencv-features2d-dev \
+        libopencv-imgproc-dev \
+        libopencv-video-dev
     ```
 
-    Debian 9 and Ubuntu 18.04 install the packages in
-    `/usr/lib/x86_64-linux-gnu`. MediaPipe's [`opencv_linux.BUILD`] and
-    [`ffmpeg_linux.BUILD`] are configured for this library path. Ubuntu 20.04
-    may install the OpenCV and FFmpeg packages in `/usr/local`, Please follow
-    the option 3 below to modify the [`WORKSPACE`], [`opencv_linux.BUILD`] and
-    [`ffmpeg_linux.BUILD`] files accordingly.
-
-    Moreover, for Nvidia Jetson and Raspberry Pi devices with ARM Ubuntu, the
-    library path needs to be modified like the following:
+    MediaPipe's [`opencv_linux.BUILD`] and [`WORKSPACE`] are already configured
+    for OpenCV 2/3 and should work correctly on any architecture:
 
     ```bash
-    sed -i "s/x86_64-linux-gnu/aarch64-linux-gnu/g" third_party/opencv_linux.BUILD
+    # WORKSPACE
+    new_local_repository(
+      name = "linux_opencv",
+      build_file = "@//third_party:opencv_linux.BUILD",
+      path = "/usr",
+    )
+
+    # opencv_linux.BUILD for OpenCV 2/3 installed from Debian package
+    cc_library(
+      name = "opencv",
+      linkopts = [
+        "-l:libopencv_core.so",
+        "-l:libopencv_calib3d.so",
+        "-l:libopencv_features2d.so",
+        "-l:libopencv_highgui.so",
+        "-l:libopencv_imgcodecs.so",
+        "-l:libopencv_imgproc.so",
+        "-l:libopencv_video.so",
+        "-l:libopencv_videoio.so",
+      ],
+    )
     ```
 
-    Option 2. Run [`setup_opencv.sh`] to automatically build OpenCV from source
-    and modify MediaPipe's OpenCV config.
+    For OpenCV 4 you need to modify [`opencv_linux.BUILD`] taking into account
+    current architecture:
 
-    Option 3. Follow OpenCV's
+    ```bash
+    # WORKSPACE
+    new_local_repository(
+      name = "linux_opencv",
+      build_file = "@//third_party:opencv_linux.BUILD",
+      path = "/usr",
+    )
+
+    # opencv_linux.BUILD for OpenCV 4 installed from Debian package
+    cc_library(
+      name = "opencv",
+      hdrs = glob([
+        # Uncomment according to your multiarch value (gcc -print-multiarch):
+        #  "include/aarch64-linux-gnu/opencv4/opencv2/cvconfig.h",
+        #  "include/arm-linux-gnueabihf/opencv4/opencv2/cvconfig.h",
+        #  "include/x86_64-linux-gnu/opencv4/opencv2/cvconfig.h",
+        "include/opencv4/opencv2/**/*.h*",
+      ]),
+      includes = [
+        # Uncomment according to your multiarch value (gcc -print-multiarch):
+        #  "include/aarch64-linux-gnu/opencv4/",
+        #  "include/arm-linux-gnueabihf/opencv4/",
+        #  "include/x86_64-linux-gnu/opencv4/",
+        "include/opencv4/",
+      ],
+      linkopts = [
+        "-l:libopencv_core.so",
+        "-l:libopencv_calib3d.so",
+        "-l:libopencv_features2d.so",
+        "-l:libopencv_highgui.so",
+        "-l:libopencv_imgcodecs.so",
+        "-l:libopencv_imgproc.so",
+        "-l:libopencv_video.so",
+        "-l:libopencv_videoio.so",
+      ],
+    )
+    ```
+
+    **Option 2**. Run [`setup_opencv.sh`] to automatically build OpenCV from
+    source and modify MediaPipe's OpenCV config. This option will do all steps
+    defined in Option 3 automatically.
+
+    **Option 3**. Follow OpenCV's
     [documentation](https://docs.opencv.org/3.4.6/d7/d9f/tutorial_linux_install.html)
     to manually build OpenCV from source code.
 
-    Note: You may need to modify [`WORKSPACE`], [`opencv_linux.BUILD`] and
-    [`ffmpeg_linux.BUILD`] to point MediaPipe to your own OpenCV and FFmpeg
-    libraries. For example if OpenCV and FFmpeg are both manually installed in
-    "/usr/local/", you will need to update: (1) the "linux_opencv" and
-    "linux_ffmpeg" new_local_repository rules in [`WORKSPACE`], (2) the "opencv"
-    cc_library rule in [`opencv_linux.BUILD`], and (3) the "libffmpeg"
-    cc_library rule in [`ffmpeg_linux.BUILD`]. These 3 changes are shown below:
+    You may need to modify [`WORKSPACE`] and [`opencv_linux.BUILD`] to point
+    MediaPipe to your own OpenCV libraries. Assume OpenCV would be installed to
+    `/usr/local/` which is recommended by default.
+
+    OpenCV 2/3 setup:
 
     ```bash
+    # WORKSPACE
     new_local_repository(
-        name = "linux_opencv",
-        build_file = "@//third_party:opencv_linux.BUILD",
-        path = "/usr/local",
+      name = "linux_opencv",
+      build_file = "@//third_party:opencv_linux.BUILD",
+      path = "/usr/local",
     )
 
+    # opencv_linux.BUILD for OpenCV 2/3 installed to /usr/local
+    cc_library(
+      name = "opencv",
+      linkopts = [
+        "-L/usr/local/lib",
+        "-l:libopencv_core.so",
+        "-l:libopencv_calib3d.so",
+        "-l:libopencv_features2d.so",
+        "-l:libopencv_highgui.so",
+        "-l:libopencv_imgcodecs.so",
+        "-l:libopencv_imgproc.so",
+        "-l:libopencv_video.so",
+        "-l:libopencv_videoio.so",
+      ],
+    )
+    ```
+
+    OpenCV 4 setup:
+
+    ```bash
+    # WORKSPACE
     new_local_repository(
-        name = "linux_ffmpeg",
-        build_file = "@//third_party:ffmpeg_linux.BUILD",
-        path = "/usr/local",
+      name = "linux_opencv",
+      build_file = "@//third_party:opencv_linux.BUILD",
+      path = "/usr/local",
     )
 
+    # opencv_linux.BUILD for OpenCV 4 installed to /usr/local
     cc_library(
-        name = "opencv",
-        srcs = glob(
-            [
-                "lib/libopencv_core.so",
-                "lib/libopencv_highgui.so",
-                "lib/libopencv_imgcodecs.so",
-                "lib/libopencv_imgproc.so",
-                "lib/libopencv_video.so",
-                "lib/libopencv_videoio.so",
-            ],
-        ),
-        hdrs = glob([
-            # For OpenCV 3.x
-            "include/opencv2/**/*.h*",
-            # For OpenCV 4.x
-            # "include/opencv4/opencv2/**/*.h*",
-        ]),
-        includes = [
-            # For OpenCV 3.x
-            "include/",
-            # For OpenCV 4.x
-            # "include/opencv4/",
-        ],
-        linkstatic = 1,
-        visibility = ["//visibility:public"],
+      name = "opencv",
+      hdrs = glob([
+        "include/opencv4/opencv2/**/*.h*",
+      ]),
+      includes = [
+        "include/opencv4/",
+      ],
+      linkopts = [
+        "-L/usr/local/lib",
+        "-l:libopencv_core.so",
+        "-l:libopencv_calib3d.so",
+        "-l:libopencv_features2d.so",
+        "-l:libopencv_highgui.so",
+        "-l:libopencv_imgcodecs.so",
+        "-l:libopencv_imgproc.so",
+        "-l:libopencv_video.so",
+        "-l:libopencv_videoio.so",
+      ],
+    )
+    ```
+
+    Current FFmpeg setup is defined in [`ffmpeg_linux.BUILD`] and should work
+    for any architecture:
+
+    ```bash
+    # WORKSPACE
+    new_local_repository(
+      name = "linux_ffmpeg",
+      build_file = "@//third_party:ffmpeg_linux.BUILD",
+      path = "/usr"
     )
 
+    # ffmpeg_linux.BUILD for FFmpeg installed from Debian package
     cc_library(
-        name = "libffmpeg",
-        srcs = glob(
-            [
-                "lib/libav*.so",
-            ],
-        ),
-        hdrs = glob(["include/libav*/*.h"]),
-        includes = ["include"],
-        linkopts = [
-            "-lavcodec",
-            "-lavformat",
-            "-lavutil",
-        ],
-        linkstatic = 1,
-        visibility = ["//visibility:public"],
+      name = "libffmpeg",
+      linkopts = [
+        "-l:libavcodec.so",
+        "-l:libavformat.so",
+        "-l:libavutil.so",
+      ],
     )
     ```
 
@@ -471,7 +556,7 @@ next section.
 4.  Install Visual C++ Build Tools 2019 and WinSDK
 
     Go to
-    [the VisualStudio website](ttps://visualstudio.microsoft.com/visual-cpp-build-tools),
+    [the VisualStudio website](https://visualstudio.microsoft.com/visual-cpp-build-tools),
     download build tools, and install Microsoft Visual C++ 2019 Redistributable
     and Microsoft Build Tools 2019.
 
@@ -711,7 +796,7 @@ This will use a Docker image that will isolate mediapipe's installation from the
     ```bash
     $ docker run -it --name mediapipe mediapipe:latest
 
-    root@bca08b91ff63:/mediapipe# GLOG_logtostderr=1 bazel run --define MEDIAPIPE_DISABLE_GPU=1 mediapipe/examples/desktop/hello_world:hello_world
+    root@bca08b91ff63:/mediapipe# GLOG_logtostderr=1 bazelisk run --define MEDIAPIPE_DISABLE_GPU=1 mediapipe/examples/desktop/hello_world:hello_world
 
     # Should print:
     # Hello World!
@@ -738,7 +823,7 @@ common build issues.
     root@bca08b91ff63:/mediapipe# bash ./setup_android_sdk_and_ndk.sh
 
     # Should print:
-    # Android NDK is now installed. Consider setting $ANDROID_NDK_HOME environment variable to be /root/Android/Sdk/ndk-bundle/android-ndk-r18b
+    # Android NDK is now installed. Consider setting $ANDROID_NDK_HOME environment variable to be /root/Android/Sdk/ndk-bundle/android-ndk-r19c
     # Set android_ndk_repository and android_sdk_repository in WORKSPACE
     # Done
 

docs/getting_started/javascript.md

@@ -16,17 +16,29 @@ nav_order: 4
 
 MediaPipe currently offers the following solutions:
 
-Solution          | NPM Package                   | Example
------------------ | ----------------------------- | -------
-[Face Mesh][F-pg] | [@mediapipe/face_mesh][F-npm] | [mediapipe.dev/demo/face_mesh][F-demo]
-[Face Detection][Fd-pg] | [@mediapipe/face_detection][Fd-npm] | [mediapipe.dev/demo/face_detection][Fd-demo]
-[Hands][H-pg]     | [@mediapipe/hands][H-npm]     | [mediapipe.dev/demo/hands][H-demo]
-[Holistic][Ho-pg] | [@mediapipe/holistic][Ho-npm] | [mediapipe.dev/demo/holistic][Ho-demo]
-[Pose][P-pg]      | [@mediapipe/pose][P-npm]      | [mediapipe.dev/demo/pose][P-demo]
+Solution                    | NPM Package                             | Example
+--------------------------- | --------------------------------------- | -------
+[Face Mesh][F-pg]           | [@mediapipe/face_mesh][F-npm]           | [mediapipe.dev/demo/face_mesh][F-demo]
+[Face Detection][Fd-pg]     | [@mediapipe/face_detection][Fd-npm]     | [mediapipe.dev/demo/face_detection][Fd-demo]
+[Hands][H-pg]               | [@mediapipe/hands][H-npm]               | [mediapipe.dev/demo/hands][H-demo]
+[Holistic][Ho-pg]           | [@mediapipe/holistic][Ho-npm]           | [mediapipe.dev/demo/holistic][Ho-demo]
+[Objectron][Ob-pg]          | [@mediapipe/objectron][Ob-npm]          | [mediapipe.dev/demo/objectron][Ob-demo]
+[Pose][P-pg]                | [@mediapipe/pose][P-npm]                | [mediapipe.dev/demo/pose][P-demo]
+[Selfie Segmentation][S-pg] | [@mediapipe/selfie_segmentation][S-npm] | [mediapipe.dev/demo/selfie_segmentation][S-demo]
 
 Click on a solution link above for more information, including API and code
 snippets.
 
+### Supported plaforms:
+
+| Browser | Platform                | Notes                                  |
+| ------- | ----------------------- | -------------------------------------- |
+| Chrome  | Android / Windows / Mac | Pixel 4 and older unsupported. Fuschia |
+|         |                         | unsupported.                           |
+| Chrome  | iOS                     | Camera unavailable in Chrome on iOS.   |
+| Safari  | iPad/iPhone/Mac         | iOS and Safari on iPad / iPhone /      |
+|         |                         | MacBook                                |
+
 The quickest way to get acclimated is to look at the examples above. Each demo
 has a link to a [CodePen][codepen] so that you can edit the code and try it
 yourself. We have included a number of utility packages to help you get started:
@@ -66,29 +78,25 @@ affecting your work, restrict your request to a `<minor>` number. e.g.,
 [F-pg]: ../solutions/face_mesh#javascript-solution-api
 [Fd-pg]: ../solutions/face_detection#javascript-solution-api
 [H-pg]: ../solutions/hands#javascript-solution-api
+[Ob-pg]: ../solutions/objectron#javascript-solution-api
 [P-pg]: ../solutions/pose#javascript-solution-api
+[S-pg]: ../solutions/selfie_segmentation#javascript-solution-api
 [Ho-npm]: https://www.npmjs.com/package/@mediapipe/holistic
 [F-npm]: https://www.npmjs.com/package/@mediapipe/face_mesh
 [Fd-npm]: https://www.npmjs.com/package/@mediapipe/face_detection
 [H-npm]: https://www.npmjs.com/package/@mediapipe/hands
+[Ob-npm]: https://www.npmjs.com/package/@mediapipe/objectron
 [P-npm]: https://www.npmjs.com/package/@mediapipe/pose
-[draw-npm]: https://www.npmjs.com/package/@mediapipe/pose
-[cam-npm]: https://www.npmjs.com/package/@mediapipe/pose
-[ctrl-npm]: https://www.npmjs.com/package/@mediapipe/pose
-[Ho-jsd]: https://www.jsdelivr.com/package/npm/@mediapipe/holistic
-[F-jsd]: https://www.jsdelivr.com/package/npm/@mediapipe/face_mesh
-[Fd-jsd]: https://www.jsdelivr.com/package/npm/@mediapipe/face_detection
-[H-jsd]: https://www.jsdelivr.com/package/npm/@mediapipe/hands
-[P-jsd]: https://www.jsdelivr.com/package/npm/@mediapipe/pose
-[Ho-pen]: https://code.mediapipe.dev/codepen/holistic
-[F-pen]: https://code.mediapipe.dev/codepen/face_mesh
-[Fd-pen]: https://code.mediapipe.dev/codepen/face_detection
-[H-pen]: https://code.mediapipe.dev/codepen/hands
-[P-pen]: https://code.mediapipe.dev/codepen/pose
+[S-npm]: https://www.npmjs.com/package/@mediapipe/selfie_segmentation
+[draw-npm]: https://www.npmjs.com/package/@mediapipe/drawing_utils
+[cam-npm]: https://www.npmjs.com/package/@mediapipe/camera_utils
+[ctrl-npm]: https://www.npmjs.com/package/@mediapipe/control_utils
 [Ho-demo]: https://mediapipe.dev/demo/holistic
 [F-demo]: https://mediapipe.dev/demo/face_mesh
 [Fd-demo]: https://mediapipe.dev/demo/face_detection
 [H-demo]: https://mediapipe.dev/demo/hands
+[Ob-demo]: https://mediapipe.dev/demo/objectron
 [P-demo]: https://mediapipe.dev/demo/pose
+[S-demo]: https://mediapipe.dev/demo/selfie_segmentation
 [npm]: https://www.npmjs.com/package/@mediapipe
 [codepen]: https://code.mediapipe.dev/codepen

docs/getting_started/python.md

@@ -26,7 +26,7 @@ You can, for instance, activate a Python virtual environment:
 $ python3 -m venv mp_env && source mp_env/bin/activate
 ```
 
-Install MediaPipe Python package and start Python intepreter:
+Install MediaPipe Python package and start Python interpreter:
 
 ```bash
 (mp_env)$ pip install mediapipe
@@ -51,6 +51,7 @@ details in each solution via the links below:
 *   [MediaPipe Holistic](../solutions/holistic#python-solution-api)
 *   [MediaPipe Objectron](../solutions/objectron#python-solution-api)
 *   [MediaPipe Pose](../solutions/pose#python-solution-api)
+*   [MediaPipe Selfie Segmentation](../solutions/selfie_segmentation#python-solution-api)
 
 ## MediaPipe on Google Colab
 
@@ -62,6 +63,7 @@ details in each solution via the links below:
 *   [MediaPipe Pose Colab](https://mediapipe.page.link/pose_py_colab)
 *   [MediaPipe Pose Classification Colab (Basic)](https://mediapipe.page.link/pose_classification_basic)
 *   [MediaPipe Pose Classification Colab (Extended)](https://mediapipe.page.link/pose_classification_extended)
+*   [MediaPipe Selfie Segmentation Colab](https://mediapipe.page.link/selfie_segmentation_py_colab)
 
 ## MediaPipe Python Framework
 

docs/getting_started/python_framework.md

@@ -74,7 +74,7 @@ Mapping\[str, Packet\]               | std::map<std::string, Packet> | create_st
 np.ndarray<br>(cv.mat and PIL.Image) | mp::ImageFrame                | create_image_frame(<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;format=ImageFormat.SRGB,<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;data=mat) | get_image_frame(packet)
 np.ndarray                           | mp::Matrix                    | create_matrix(data)                                                                                                                                          | get_matrix(packet)
 Google Proto Message                 | Google Proto Message          | create_proto(proto)                                                                                                                                          | get_proto(packet)
-List\[Proto\]                        | std::vector\<Proto\>          | create_proto_vector(proto_list)                                                                                                                              | get_proto_list(packet)
+List\[Proto\]                        | std::vector\<Proto\>          | n/a                                                                                                                                                          | get_proto_list(packet)
 
 It's not uncommon that users create custom C++ classes and and send those into
 the graphs and calculators. To allow the custom classes to be used in Python

docs/getting_started/troubleshooting.md

@@ -97,6 +97,49 @@ linux_opencv/macos_opencv/windows_opencv.BUILD files for your local opencv
 libraries. [This GitHub issue](https://github.com/google/mediapipe/issues/666)
 may also help.
 
+## Python pip install failure
+
+The error message:
+
+```
+ERROR: Could not find a version that satisfies the requirement mediapipe
+ERROR: No matching distribution found for mediapipe
+```
+
+after running `pip install mediapipe` usually indicates that there is no qualified MediaPipe Python for your system.
+Please note that MediaPipe Python PyPI officially supports the **64-bit**
+version of Python 3.7 and above on the following OS:
+
+-   x86_64 Linux
+-   x86_64 macOS 10.15+
+-   amd64 Windows
+
+If the OS is currently supported and you still see this error, please make sure
+that both the Python and pip binary are for Python 3.7 and above. Otherwise,
+please consider building the MediaPipe Python package locally by following the
+instructions [here](python.md#building-mediapipe-python-package).
+
+## Python DLL load failure on Windows
+
+The error message:
+
+```
+ImportError: DLL load failed: The specified module could not be found
+```
+
+usually indicates that the local Windows system is missing Visual C++
+redistributable packages and/or Visual C++ runtime DLLs. This can be solved by
+either installing the official
+[vc_redist.x64.exe](https://support.microsoft.com/en-us/topic/the-latest-supported-visual-c-downloads-2647da03-1eea-4433-9aff-95f26a218cc0)
+or installing the "msvc-runtime" Python package by running
+
+```bash
+$ python -m pip install msvc-runtime
+```
+
+Please note that the "msvc-runtime" Python package is not released or maintained
+by Microsoft.
+
 ## Native method not found
 
 The error message:

docs/index.md

@@ -40,11 +40,12 @@ Hair Segmentation
 [Hands](https://google.github.io/mediapipe/solutions/hands)                                     | ✅                                                               | ✅                                                       | ✅                                                       | ✅                                                             | ✅                                                             |
 [Pose](https://google.github.io/mediapipe/solutions/pose)                                       | ✅                                                               | ✅                                                       | ✅                                                       | ✅                                                             | ✅                                                             |
 [Holistic](https://google.github.io/mediapipe/solutions/holistic)                               | ✅                                                               | ✅                                                       | ✅                                                       | ✅                                                             | ✅                                                             |
+[Selfie Segmentation](https://google.github.io/mediapipe/solutions/selfie_segmentation)         | ✅                                                               | ✅                                                       | ✅                                                       | ✅                                                             | ✅                                                             |
 [Hair Segmentation](https://google.github.io/mediapipe/solutions/hair_segmentation)             | ✅                                                               |                                                         | ✅                                                       |                                                               |                                                               |
 [Object Detection](https://google.github.io/mediapipe/solutions/object_detection)               | ✅                                                               | ✅                                                       | ✅                                                       |                                                               |                                                               | ✅
 [Box Tracking](https://google.github.io/mediapipe/solutions/box_tracking)                       | ✅                                                               | ✅                                                       | ✅                                                       |                                                               |                                                               |
 [Instant Motion Tracking](https://google.github.io/mediapipe/solutions/instant_motion_tracking) | ✅                                                               |                                                         |                                                         |                                                               |                                                               |
-[Objectron](https://google.github.io/mediapipe/solutions/objectron)                             | ✅                                                               |                                                        | ✅                                                         | ✅                                                             |                                                               |
+[Objectron](https://google.github.io/mediapipe/solutions/objectron)                             | ✅                                                               |                                                         | ✅                                                       | ✅                                                             | ✅                                                             |
 [KNIFT](https://google.github.io/mediapipe/solutions/knift)                                     | ✅                                                               |                                                         |                                                         |                                                               |                                                               |
 [AutoFlip](https://google.github.io/mediapipe/solutions/autoflip)                               |                                                                 |                                                         | ✅                                                       |                                                               |                                                               |
 [MediaSequence](https://google.github.io/mediapipe/solutions/media_sequence)                    |                                                                 |                                                         | ✅                                                       |                                                               |                                                               |
@@ -54,46 +55,22 @@ See also
 [MediaPipe Models and Model Cards](https://google.github.io/mediapipe/solutions/models)
 for ML models released in MediaPipe.
 
-## MediaPipe in Python
-
-MediaPipe offers customizable Python solutions as a prebuilt Python package on
-[PyPI](https://pypi.org/project/mediapipe/), which can be installed simply with
-`pip install mediapipe`. It also provides tools for users to build their own
-solutions. Please see
-[MediaPipe in Python](https://google.github.io/mediapipe/getting_started/python)
-for more info.
-
-## MediaPipe on the Web
-
-MediaPipe on the Web is an effort to run the same ML solutions built for mobile
-and desktop also in web browsers. The official API is under construction, but
-the core technology has been proven effective. Please see
-[MediaPipe on the Web](https://developers.googleblog.com/2020/01/mediapipe-on-web.html)
-in Google Developers Blog for details.
-
-You can use the following links to load a demo in the MediaPipe Visualizer, and
-over there click the "Runner" icon in the top bar like shown below. The demos
-use your webcam video as input, which is processed all locally in real-time and
-never leaves your device.
-
-![visualizer_runner](images/visualizer_runner.png)
-
-*   [MediaPipe Face Detection](https://viz.mediapipe.dev/demo/face_detection)
-*   [MediaPipe Iris](https://viz.mediapipe.dev/demo/iris_tracking)
-*   [MediaPipe Iris: Depth-from-Iris](https://viz.mediapipe.dev/demo/iris_depth)
-*   [MediaPipe Hands](https://viz.mediapipe.dev/demo/hand_tracking)
-*   [MediaPipe Hands (palm/hand detection only)](https://viz.mediapipe.dev/demo/hand_detection)
-*   [MediaPipe Pose](https://viz.mediapipe.dev/demo/pose_tracking)
-*   [MediaPipe Hair Segmentation](https://viz.mediapipe.dev/demo/hair_segmentation)
-
 ## Getting started
 
-Learn how to [install](https://google.github.io/mediapipe/getting_started/install)
-MediaPipe and
-[build example applications](https://google.github.io/mediapipe/getting_started/building_examples),
-and start exploring our ready-to-use
-[solutions](https://google.github.io/mediapipe/solutions/solutions) that you can
-further extend and customize.
+To start using MediaPipe
+[solutions](https://google.github.io/mediapipe/solutions/solutions) with only a few
+lines code, see example code and demos in
+[MediaPipe in Python](https://google.github.io/mediapipe/getting_started/python) and
+[MediaPipe in JavaScript](https://google.github.io/mediapipe/getting_started/javascript).
+
+To use MediaPipe in C++, Android and iOS, which allow further customization of
+the [solutions](https://google.github.io/mediapipe/solutions/solutions) as well as
+building your own, learn how to
+[install](https://google.github.io/mediapipe/getting_started/install) MediaPipe and
+start building example applications in
+[C++](https://google.github.io/mediapipe/getting_started/cpp),
+[Android](https://google.github.io/mediapipe/getting_started/android) and
+[iOS](https://google.github.io/mediapipe/getting_started/ios).
 
 The source code is hosted in the
 [MediaPipe Github repository](https://github.com/google/mediapipe), and you can
@@ -102,6 +79,13 @@ run code search using
 
 ## Publications
 
+*   [Bringing artworks to life with AR](https://developers.googleblog.com/2021/07/bringing-artworks-to-life-with-ar.html)
+    in Google Developers Blog
+*   [Prosthesis control via Mirru App using MediaPipe hand tracking](https://developers.googleblog.com/2021/05/control-your-mirru-prosthesis-with-mediapipe-hand-tracking.html)
+    in Google Developers Blog
+*   [SignAll SDK: Sign language interface using MediaPipe is now available for
+    developers](https://developers.googleblog.com/2021/04/signall-sdk-sign-language-interface-using-mediapipe-now-available.html)
+    in Google Developers Blog
 *   [MediaPipe Holistic - Simultaneous Face, Hand and Pose Prediction, on Device](https://ai.googleblog.com/2020/12/mediapipe-holistic-simultaneous-face.html)
     in Google AI Blog
 *   [Background Features in Google Meet, Powered by Web ML](https://ai.googleblog.com/2020/10/background-features-in-google-meet.html)

docs/solutions/autoflip.md

@@ -2,7 +2,7 @@
 layout: default
 title: AutoFlip (Saliency-aware Video Cropping)
 parent: Solutions
-nav_order: 13
+nav_order: 14
 ---
 
 # AutoFlip: Saliency-aware Video Cropping

docs/solutions/box_tracking.md

@@ -2,7 +2,7 @@
 layout: default
 title: Box Tracking
 parent: Solutions
-nav_order: 9
+nav_order: 10
 ---
 
 # MediaPipe Box Tracking

docs/solutions/face_detection.md

@@ -45,6 +45,15 @@ section.
 
 Naming style and availability may differ slightly across platforms/languages.
 
+#### model_selection
+
+An integer index `0` or `1`. Use `0` to select a short-range model that works
+best for faces within 2 meters from the camera, and `1` for a full-range model
+best for faces within 5 meters. For the full-range option, a sparse model is
+used for its improved inference speed. Please refer to the
+[model cards](./models.md#face_detection) for details. Default to `0` if not
+specified.
+
 #### min_detection_confidence
 
 Minimum confidence value (`[0.0, 1.0]`) from the face detection model for the
@@ -68,21 +77,24 @@ normalized to `[0.0, 1.0]` by the image width and height respectively.
 
 Please first follow general [instructions](../getting_started/python.md) to
 install MediaPipe Python package, then learn more in the companion
-[Python Colab](#resources) and the following usage example.
+[Python Colab](#resources) and the usage example below.
 
 Supported configuration options:
 
+*   [model_selection](#model_selection)
 *   [min_detection_confidence](#min_detection_confidence)
 
 ```python
 import cv2
 import mediapipe as mp
-mp_face_detction = mp.solutions.face_detection
+mp_face_detection = mp.solutions.face_detection
+mp_drawing = mp.solutions.drawing_utils
 
 # For static images:
+IMAGE_FILES = []
 with mp_face_detection.FaceDetection(
-    min_detection_confidence=0.5) as face_detection:
-  for idx, file in enumerate(file_list):
+    model_selection=1, min_detection_confidence=0.5) as face_detection:
+  for idx, file in enumerate(IMAGE_FILES):
     image = cv2.imread(file)
     # Convert the BGR image to RGB and process it with MediaPipe Face Detection.
     results = face_detection.process(cv2.cvtColor(image, cv2.COLOR_BGR2RGB))
@@ -101,7 +113,7 @@ with mp_face_detection.FaceDetection(
 # For webcam input:
 cap = cv2.VideoCapture(0)
 with mp_face_detection.FaceDetection(
-    min_detection_confidence=0.5) as face_detection:
+    model_selection=0, min_detection_confidence=0.5) as face_detection:
   while cap.isOpened():
     success, image = cap.read()
     if not success:
@@ -137,6 +149,7 @@ and the following usage example.
 
 Supported configuration options:
 
+*   [modelSelection](#model_selection)
 *   [minDetectionConfidence](#min_detection_confidence)
 
 ```html
@@ -187,6 +200,7 @@ const faceDetection = new FaceDetection({locateFile: (file) => {
   return `https://cdn.jsdelivr.net/npm/@mediapipe/[email protected]/${file}`;
 }});
 faceDetection.setOptions({
+  modelSelection: 0
   minDetectionConfidence: 0.5
 });
 faceDetection.onResults(onResults);
@@ -253,10 +267,6 @@ same configuration as the GPU pipeline, runs entirely on CPU.
     *   Target:
         [`mediapipe/examples/desktop/face_detection:face_detection_gpu`](https://github.com/google/mediapipe/tree/master/mediapipe/examples/desktop/face_detection/BUILD)
 
-### Web
-
-Please refer to [these instructions](../index.md#mediapipe-on-the-web).
-
 ### Coral
 
 Please refer to

docs/solutions/face_mesh.md

@@ -69,7 +69,7 @@ and renders using a dedicated
 The
 [face landmark subgraph](https://github.com/google/mediapipe/tree/master/mediapipe/modules/face_landmark/face_landmark_front_gpu.pbtxt)
 internally uses a
-[face_detection_subgraph](https://github.com/google/mediapipe/tree/master/mediapipe/modules/face_detection/face_detection_front_gpu.pbtxt)
+[face_detection_subgraph](https://github.com/google/mediapipe/tree/master/mediapipe/modules/face_detection/face_detection_short_range_gpu.pbtxt)
 from the
 [face detection module](https://github.com/google/mediapipe/tree/master/mediapipe/modules/face_detection).
 
@@ -265,7 +265,7 @@ magnitude of `z` uses roughly the same scale as `x`.
 
 Please first follow general [instructions](../getting_started/python.md) to
 install MediaPipe Python package, then learn more in the companion
-[Python Colab](#resources) and the following usage example.
+[Python Colab](#resources) and the usage example below.
 
 Supported configuration options:
 
@@ -278,15 +278,17 @@ Supported configuration options:
 import cv2
 import mediapipe as mp
 mp_drawing = mp.solutions.drawing_utils
+mp_drawing_styles = mp.solutions.drawing_styles
 mp_face_mesh = mp.solutions.face_mesh
 
 # For static images:
+IMAGE_FILES = []
 drawing_spec = mp_drawing.DrawingSpec(thickness=1, circle_radius=1)
 with mp_face_mesh.FaceMesh(
     static_image_mode=True,
     max_num_faces=1,
     min_detection_confidence=0.5) as face_mesh:
-  for idx, file in enumerate(file_list):
+  for idx, file in enumerate(IMAGE_FILES):
     image = cv2.imread(file)
     # Convert the BGR image to RGB before processing.
     results = face_mesh.process(cv2.cvtColor(image, cv2.COLOR_BGR2RGB))
@@ -300,9 +302,17 @@ with mp_face_mesh.FaceMesh(
       mp_drawing.draw_landmarks(
           image=annotated_image,
           landmark_list=face_landmarks,
-          connections=mp_face_mesh.FACE_CONNECTIONS,
-          landmark_drawing_spec=drawing_spec,
-          connection_drawing_spec=drawing_spec)
+          connections=mp_face_mesh.FACEMESH_TESSELATION,
+          landmark_drawing_spec=None,
+          connection_drawing_spec=mp_drawing_styles
+          .get_default_face_mesh_tesselation_style())
+      mp_drawing.draw_landmarks(
+          image=annotated_image,
+          landmark_list=face_landmarks,
+          connections=mp_face_mesh.FACEMESH_CONTOURS,
+          landmark_drawing_spec=None,
+          connection_drawing_spec=mp_drawing_styles
+          .get_default_face_mesh_contours_style())
     cv2.imwrite('/tmp/annotated_image' + str(idx) + '.png', annotated_image)
 
 # For webcam input:
@@ -334,9 +344,17 @@ with mp_face_mesh.FaceMesh(
         mp_drawing.draw_landmarks(
             image=image,
             landmark_list=face_landmarks,
-            connections=mp_face_mesh.FACE_CONNECTIONS,
-            landmark_drawing_spec=drawing_spec,
-            connection_drawing_spec=drawing_spec)
+            connections=mp_face_mesh.FACEMESH_TESSELATION,
+            landmark_drawing_spec=None,
+            connection_drawing_spec=mp_drawing_styles
+            .get_default_face_mesh_tesselation_style())
+        mp_drawing.draw_landmarks(
+            image=image,
+            landmark_list=face_landmarks,
+            connections=mp_face_mesh.FACEMESH_CONTOURS,
+            landmark_drawing_spec=None,
+            connection_drawing_spec=mp_drawing_styles
+            .get_default_face_mesh_contours_style())
     cv2.imshow('MediaPipe FaceMesh', image)
     if cv2.waitKey(5) & 0xFF == 27:
       break
@@ -422,6 +440,200 @@ camera.start();
 </script>
 ```
 
+### Android Solution API
+
+Please first follow general
+[instructions](../getting_started/android_solutions.md#integrate-mediapipe-android-solutions-api)
+to add MediaPipe Gradle dependencies, then try the FaceMash solution API in the
+companion
+[example Android Studio project](https://github.com/google/mediapipe/tree/master/mediapipe/examples/android/solutions/facemesh)
+following
+[these instructions](../getting_started/android_solutions.md#build-solution-example-apps-in-android-studio)
+and learn more in the usage example below.
+
+Supported configuration options:
+
+*   [staticImageMode](#static_image_mode)
+*   [maxNumFaces](#max_num_faces)
+*   runOnGpu: Run the pipeline and the model inference on GPU or CPU.
+
+#### Camera Input
+
+```java
+// For camera input and result rendering with OpenGL.
+FaceMeshOptions faceMeshOptions =
+    FaceMeshOptions.builder()
+        .setMode(FaceMeshOptions.STREAMING_MODE)  // API soon to become
+        .setMaxNumFaces(1)                        // setStaticImageMode(false)
+        .setRunOnGpu(true).build();
+FaceMesh facemesh = new FaceMesh(this, faceMeshOptions);
+facemesh.setErrorListener(
+    (message, e) -> Log.e(TAG, "MediaPipe FaceMesh error:" + message));
+
+// Initializes a new CameraInput instance and connects it to MediaPipe FaceMesh.
+CameraInput cameraInput = new CameraInput(this);
+cameraInput.setNewFrameListener(
+    textureFrame -> facemesh.send(textureFrame));
+
+// Initializes a new GlSurfaceView with a ResultGlRenderer<FaceMeshResult> instance
+// that provides the interfaces to run user-defined OpenGL rendering code.
+// See mediapipe/examples/android/solutions/facemesh/src/main/java/com/google/mediapipe/examples/facemesh/FaceMeshResultGlRenderer.java
+// as an example.
+SolutionGlSurfaceView<FaceMeshResult> glSurfaceView =
+    new SolutionGlSurfaceView<>(
+        this, facemesh.getGlContext(), facemesh.getGlMajorVersion());
+glSurfaceView.setSolutionResultRenderer(new FaceMeshResultGlRenderer());
+glSurfaceView.setRenderInputImage(true);
+
+facemesh.setResultListener(
+    faceMeshResult -> {
+      NormalizedLandmark noseLandmark =
+          result.multiFaceLandmarks().get(0).getLandmarkList().get(1);
+      Log.i(
+          TAG,
+          String.format(
+              "MediaPipe FaceMesh nose normalized coordinates (value range: [0, 1]): x=%f, y=%f",
+              noseLandmark.getX(), noseLandmark.getY()));
+      // Request GL rendering.
+      glSurfaceView.setRenderData(faceMeshResult);
+      glSurfaceView.requestRender();
+    });
+
+// The runnable to start camera after the GLSurfaceView is attached.
+glSurfaceView.post(
+    () ->
+        cameraInput.start(
+            this,
+            facemesh.getGlContext(),
+            CameraInput.CameraFacing.FRONT,
+            glSurfaceView.getWidth(),
+            glSurfaceView.getHeight()));
+```
+
+#### Image Input
+
+```java
+// For reading images from gallery and drawing the output in an ImageView.
+FaceMeshOptions faceMeshOptions =
+    FaceMeshOptions.builder()
+        .setMode(FaceMeshOptions.STATIC_IMAGE_MODE)  // API soon to become
+        .setMaxNumFaces(1)                           // setStaticImageMode(true)
+        .setRunOnGpu(true).build();
+FaceMesh facemesh = new FaceMesh(this, faceMeshOptions);
+
+// Connects MediaPipe FaceMesh to the user-defined ImageView instance that allows
+// users to have the custom drawing of the output landmarks on it.
+// See mediapipe/examples/android/solutions/facemesh/src/main/java/com/google/mediapipe/examples/facemesh/FaceMeshResultImageView.java
+// as an example.
+FaceMeshResultImageView imageView = new FaceMeshResultImageView(this);
+facemesh.setResultListener(
+    faceMeshResult -> {
+      int width = faceMeshResult.inputBitmap().getWidth();
+      int height = faceMeshResult.inputBitmap().getHeight();
+      NormalizedLandmark noseLandmark =
+          result.multiFaceLandmarks().get(0).getLandmarkList().get(1);
+      Log.i(
+          TAG,
+          String.format(
+              "MediaPipe FaceMesh nose coordinates (pixel values): x=%f, y=%f",
+              noseLandmark.getX() * width, noseLandmark.getY() * height));
+      // Request canvas drawing.
+      imageView.setFaceMeshResult(faceMeshResult);
+      runOnUiThread(() -> imageView.update());
+    });
+facemesh.setErrorListener(
+    (message, e) -> Log.e(TAG, "MediaPipe FaceMesh error:" + message));
+
+// ActivityResultLauncher to get an image from the gallery as Bitmap.
+ActivityResultLauncher<Intent> imageGetter =
+    registerForActivityResult(
+        new ActivityResultContracts.StartActivityForResult(),
+        result -> {
+          Intent resultIntent = result.getData();
+          if (resultIntent != null && result.getResultCode() == RESULT_OK) {
+            Bitmap bitmap = null;
+            try {
+              bitmap =
+                  MediaStore.Images.Media.getBitmap(
+                      this.getContentResolver(), resultIntent.getData());
+            } catch (IOException e) {
+              Log.e(TAG, "Bitmap reading error:" + e);
+            }
+            if (bitmap != null) {
+              facemesh.send(bitmap);
+            }
+          }
+        });
+Intent gallery = new Intent(
+    Intent.ACTION_PICK, MediaStore.Images.Media.INTERNAL_CONTENT_URI);
+imageGetter.launch(gallery);
+```
+
+#### Video Input
+
+```java
+// For video input and result rendering with OpenGL.
+FaceMeshOptions faceMeshOptions =
+    FaceMeshOptions.builder()
+        .setMode(FaceMeshOptions.STREAMING_MODE)  // API soon to become
+        .setMaxNumFaces(1)                        // setStaticImageMode(false)
+        .setRunOnGpu(true).build();
+FaceMesh facemesh = new FaceMesh(this, faceMeshOptions);
+facemesh.setErrorListener(
+    (message, e) -> Log.e(TAG, "MediaPipe FaceMesh error:" + message));
+
+// Initializes a new VideoInput instance and connects it to MediaPipe FaceMesh.
+VideoInput videoInput = new VideoInput(this);
+videoInput.setNewFrameListener(
+    textureFrame -> facemesh.send(textureFrame));
+
+// Initializes a new GlSurfaceView with a ResultGlRenderer<FaceMeshResult> instance
+// that provides the interfaces to run user-defined OpenGL rendering code.
+// See mediapipe/examples/android/solutions/facemesh/src/main/java/com/google/mediapipe/examples/facemesh/FaceMeshResultGlRenderer.java
+// as an example.
+SolutionGlSurfaceView<FaceMeshResult> glSurfaceView =
+    new SolutionGlSurfaceView<>(
+        this, facemesh.getGlContext(), facemesh.getGlMajorVersion());
+glSurfaceView.setSolutionResultRenderer(new FaceMeshResultGlRenderer());
+glSurfaceView.setRenderInputImage(true);
+
+facemesh.setResultListener(
+    faceMeshResult -> {
+      NormalizedLandmark noseLandmark =
+          result.multiFaceLandmarks().get(0).getLandmarkList().get(1);
+      Log.i(
+          TAG,
+          String.format(
+              "MediaPipe FaceMesh nose normalized coordinates (value range: [0, 1]): x=%f, y=%f",
+              noseLandmark.getX(), noseLandmark.getY()));
+      // Request GL rendering.
+      glSurfaceView.setRenderData(faceMeshResult);
+      glSurfaceView.requestRender();
+    });
+
+ActivityResultLauncher<Intent> videoGetter =
+    registerForActivityResult(
+        new ActivityResultContracts.StartActivityForResult(),
+        result -> {
+          Intent resultIntent = result.getData();
+          if (resultIntent != null) {
+            if (result.getResultCode() == RESULT_OK) {
+              glSurfaceView.post(
+                  () ->
+                      videoInput.start(
+                          this,
+                          resultIntent.getData(),
+                          facemesh.getGlContext(),
+                          glSurfaceView.getWidth(),
+                          glSurfaceView.getHeight()));
+            }
+          }
+        });
+Intent gallery =
+    new Intent(Intent.ACTION_PICK, MediaStore.Video.Media.INTERNAL_CONTENT_URI);
+videoGetter.launch(gallery);
+```
+
 ## Example Apps
 
 Please first see general instructions for

docs/solutions/hair_segmentation.md

@@ -2,7 +2,7 @@
 layout: default
 title: Hair Segmentation
 parent: Solutions
-nav_order: 7
+nav_order: 8
 ---
 
 # MediaPipe Hair Segmentation
@@ -51,7 +51,14 @@ to visualize its associated subgraphs, please see
 
 ### Web
 
-Please refer to [these instructions](../index.md#mediapipe-on-the-web).
+Use [this link](https://viz.mediapipe.dev/demo/hair_segmentation) to load a demo
+in the MediaPipe Visualizer, and over there click the "Runner" icon in the top
+bar like shown below. The demos use your webcam video as input, which is
+processed all locally in real-time and never leaves your device. Please see
+[MediaPipe on the Web](https://developers.googleblog.com/2020/01/mediapipe-on-web.html)
+in Google Developers Blog for details.
+
+![visualizer_runner](../images/visualizer_runner.png)
 
 ## Resources
 

docs/solutions/hands.md

@@ -206,7 +206,7 @@ is not the case, please swap the handedness output in the application.
 
 Please first follow general [instructions](../getting_started/python.md) to
 install MediaPipe Python package, then learn more in the companion
-[Python Colab](#resources) and the following usage example.
+[Python Colab](#resources) and the usage example below.
 
 Supported configuration options:
 
@@ -219,14 +219,16 @@ Supported configuration options:
 import cv2
 import mediapipe as mp
 mp_drawing = mp.solutions.drawing_utils
+mp_drawing_styles = mp.solutions.drawing_styles
 mp_hands = mp.solutions.hands
 
 # For static images:
+IMAGE_FILES = []
 with mp_hands.Hands(
     static_image_mode=True,
     max_num_hands=2,
     min_detection_confidence=0.5) as hands:
-  for idx, file in enumerate(file_list):
+  for idx, file in enumerate(IMAGE_FILES):
     # Read an image, flip it around y-axis for correct handedness output (see
     # above).
     image = cv2.flip(cv2.imread(file), 1)
@@ -247,7 +249,11 @@ with mp_hands.Hands(
           f'{hand_landmarks.landmark[mp_hands.HandLandmark.INDEX_FINGER_TIP].y * image_height})'
       )
       mp_drawing.draw_landmarks(
-          annotated_image, hand_landmarks, mp_hands.HAND_CONNECTIONS)
+          annotated_image,
+          hand_landmarks,
+          mp_hands.HAND_CONNECTIONS,
+          mp_drawing_styles.get_default_hand_landmarks_style(),
+          mp_drawing_styles.get_default_hand_connections_style())
     cv2.imwrite(
         '/tmp/annotated_image' + str(idx) + '.png', cv2.flip(annotated_image, 1))
 
@@ -277,7 +283,11 @@ with mp_hands.Hands(
     if results.multi_hand_landmarks:
       for hand_landmarks in results.multi_hand_landmarks:
         mp_drawing.draw_landmarks(
-            image, hand_landmarks, mp_hands.HAND_CONNECTIONS)
+            image,
+            hand_landmarks,
+            mp_hands.HAND_CONNECTIONS,
+            mp_drawing_styles.get_default_hand_landmarks_style(),
+            mp_drawing_styles.get_default_hand_connections_style())
     cv2.imshow('MediaPipe Hands', image)
     if cv2.waitKey(5) & 0xFF == 27:
       break
@@ -358,6 +368,200 @@ camera.start();
 </script>
 ```
 
+### Android Solution API
+
+Please first follow general
+[instructions](../getting_started/android_solutions.md#integrate-mediapipe-android-solutions-api)
+to add MediaPipe Gradle dependencies, then try the Hands solution API in the
+companion
+[example Android Studio project](https://github.com/google/mediapipe/tree/master/mediapipe/examples/android/solutions/hands)
+following
+[these instructions](../getting_started/android_solutions.md#build-solution-example-apps-in-android-studio)
+and learn more in usage example below.
+
+Supported configuration options:
+
+*   [staticImageMode](#static_image_mode)
+*   [maxNumHands](#max_num_hands)
+*   runOnGpu: Run the pipeline and the model inference on GPU or CPU.
+
+#### Camera Input
+
+```java
+// For camera input and result rendering with OpenGL.
+HandsOptions handsOptions =
+    HandsOptions.builder()
+        .setMode(HandsOptions.STREAMING_MODE)  // API soon to become
+        .setMaxNumHands(1)                     // setStaticImageMode(false)
+        .setRunOnGpu(true).build();
+Hands hands = new Hands(this, handsOptions);
+hands.setErrorListener(
+    (message, e) -> Log.e(TAG, "MediaPipe Hands error:" + message));
+
+// Initializes a new CameraInput instance and connects it to MediaPipe Hands.
+CameraInput cameraInput = new CameraInput(this);
+cameraInput.setNewFrameListener(
+    textureFrame -> hands.send(textureFrame));
+
+// Initializes a new GlSurfaceView with a ResultGlRenderer<HandsResult> instance
+// that provides the interfaces to run user-defined OpenGL rendering code.
+// See mediapipe/examples/android/solutions/hands/src/main/java/com/google/mediapipe/examples/hands/HandsResultGlRenderer.java
+// as an example.
+SolutionGlSurfaceView<HandsResult> glSurfaceView =
+    new SolutionGlSurfaceView<>(
+        this, hands.getGlContext(), hands.getGlMajorVersion());
+glSurfaceView.setSolutionResultRenderer(new HandsResultGlRenderer());
+glSurfaceView.setRenderInputImage(true);
+
+hands.setResultListener(
+    handsResult -> {
+      NormalizedLandmark wristLandmark = Hands.getHandLandmark(
+          handsResult, 0, HandLandmark.WRIST);
+      Log.i(
+          TAG,
+          String.format(
+              "MediaPipe Hand wrist normalized coordinates (value range: [0, 1]): x=%f, y=%f",
+              wristLandmark.getX(), wristLandmark.getY()));
+      // Request GL rendering.
+      glSurfaceView.setRenderData(handsResult);
+      glSurfaceView.requestRender();
+    });
+
+// The runnable to start camera after the GLSurfaceView is attached.
+glSurfaceView.post(
+    () ->
+        cameraInput.start(
+            this,
+            hands.getGlContext(),
+            CameraInput.CameraFacing.FRONT,
+            glSurfaceView.getWidth(),
+            glSurfaceView.getHeight()));
+```
+
+#### Image Input
+
+```java
+// For reading images from gallery and drawing the output in an ImageView.
+HandsOptions handsOptions =
+    HandsOptions.builder()
+        .setMode(HandsOptions.STATIC_IMAGE_MODE)  // API soon to become
+        .setMaxNumHands(1)                        // setStaticImageMode(true)
+        .setRunOnGpu(true).build();
+Hands hands = new Hands(this, handsOptions);
+
+// Connects MediaPipe Hands to the user-defined ImageView instance that allows
+// users to have the custom drawing of the output landmarks on it.
+// See mediapipe/examples/android/solutions/hands/src/main/java/com/google/mediapipe/examples/hands/HandsResultImageView.java
+// as an example.
+HandsResultImageView imageView = new HandsResultImageView(this);
+hands.setResultListener(
+    handsResult -> {
+      int width = handsResult.inputBitmap().getWidth();
+      int height = handsResult.inputBitmap().getHeight();
+      NormalizedLandmark wristLandmark = Hands.getHandLandmark(
+          handsResult, 0, HandLandmark.WRIST);
+      Log.i(
+          TAG,
+          String.format(
+              "MediaPipe Hand wrist coordinates (pixel values): x=%f, y=%f",
+              wristLandmark.getX() * width, wristLandmark.getY() * height));
+      // Request canvas drawing.
+      imageView.setHandsResult(handsResult);
+      runOnUiThread(() -> imageView.update());
+    });
+hands.setErrorListener(
+    (message, e) -> Log.e(TAG, "MediaPipe Hands error:" + message));
+
+// ActivityResultLauncher to get an image from the gallery as Bitmap.
+ActivityResultLauncher<Intent> imageGetter =
+    registerForActivityResult(
+        new ActivityResultContracts.StartActivityForResult(),
+        result -> {
+          Intent resultIntent = result.getData();
+          if (resultIntent != null && result.getResultCode() == RESULT_OK) {
+            Bitmap bitmap = null;
+            try {
+              bitmap =
+                  MediaStore.Images.Media.getBitmap(
+                      this.getContentResolver(), resultIntent.getData());
+            } catch (IOException e) {
+              Log.e(TAG, "Bitmap reading error:" + e);
+            }
+            if (bitmap != null) {
+              hands.send(bitmap);
+            }
+          }
+        });
+Intent gallery = new Intent(
+    Intent.ACTION_PICK, MediaStore.Images.Media.INTERNAL_CONTENT_URI);
+imageGetter.launch(gallery);
+```
+
+#### Video Input
+
+```java
+// For video input and result rendering with OpenGL.
+HandsOptions handsOptions =
+    HandsOptions.builder()
+        .setMode(HandsOptions.STREAMING_MODE)  // API soon to become
+        .setMaxNumHands(1)                     // setStaticImageMode(false)
+        .setRunOnGpu(true).build();
+Hands hands = new Hands(this, handsOptions);
+hands.setErrorListener(
+    (message, e) -> Log.e(TAG, "MediaPipe Hands error:" + message));
+
+// Initializes a new VideoInput instance and connects it to MediaPipe Hands.
+VideoInput videoInput = new VideoInput(this);
+videoInput.setNewFrameListener(
+    textureFrame -> hands.send(textureFrame));
+
+// Initializes a new GlSurfaceView with a ResultGlRenderer<HandsResult> instance
+// that provides the interfaces to run user-defined OpenGL rendering code.
+// See mediapipe/examples/android/solutions/hands/src/main/java/com/google/mediapipe/examples/hands/HandsResultGlRenderer.java
+// as an example.
+SolutionGlSurfaceView<HandsResult> glSurfaceView =
+    new SolutionGlSurfaceView<>(
+        this, hands.getGlContext(), hands.getGlMajorVersion());
+glSurfaceView.setSolutionResultRenderer(new HandsResultGlRenderer());
+glSurfaceView.setRenderInputImage(true);
+
+hands.setResultListener(
+    handsResult -> {
+      NormalizedLandmark wristLandmark = Hands.getHandLandmark(
+          handsResult, 0, HandLandmark.WRIST);
+      Log.i(
+          TAG,
+          String.format(
+              "MediaPipe Hand wrist normalized coordinates (value range: [0, 1]): x=%f, y=%f",
+              wristLandmark.getX(), wristLandmark.getY()));
+      // Request GL rendering.
+      glSurfaceView.setRenderData(handsResult);
+      glSurfaceView.requestRender();
+    });
+
+ActivityResultLauncher<Intent> videoGetter =
+    registerForActivityResult(
+        new ActivityResultContracts.StartActivityForResult(),
+        result -> {
+          Intent resultIntent = result.getData();
+          if (resultIntent != null) {
+            if (result.getResultCode() == RESULT_OK) {
+              glSurfaceView.post(
+                  () ->
+                      videoInput.start(
+                          this,
+                          resultIntent.getData(),
+                          hands.getGlContext(),
+                          glSurfaceView.getWidth(),
+                          glSurfaceView.getHeight()));
+            }
+          }
+        });
+Intent gallery =
+    new Intent(Intent.ACTION_PICK, MediaStore.Video.Media.INTERNAL_CONTENT_URI);
+videoGetter.launch(gallery);
+```
+
 ## Example Apps
 
 Please first see general instructions for

docs/solutions/holistic.md

@@ -135,12 +135,11 @@ another detection until it loses track, on reducing computation and latency. If
 set to `true`, person detection runs every input image, ideal for processing a
 batch of static, possibly unrelated, images. Default to `false`.
 
-#### upper_body_only
+#### model_complexity
 
-If set to `true`, the solution outputs only the 25 upper-body pose landmarks
-(535 in total) instead of the full set of 33 pose landmarks (543 in total). Note
-that upper-body-only prediction may be more accurate for use cases where the
-lower-body parts are mostly out of view. Default to `false`.
+Complexity of the pose landmark model: `0`, `1` or `2`. Landmark accuracy as
+well as inference latency generally go up with the model complexity. Default to
+`1`.
 
 #### smooth_landmarks
 
@@ -177,6 +176,16 @@ A list of pose landmarks. Each landmark consists of the following:
 *   `visibility`: A value in `[0.0, 1.0]` indicating the likelihood of the
     landmark being visible (present and not occluded) in the image.
 
+#### pose_world_landmarks
+
+Another list of pose landmarks in world coordinates. Each landmark consists of
+the following:
+
+*   `x`, `y` and `z`: Real-world 3D coordinates in meters with the origin at the
+    center between hips.
+*   `visibility`: Identical to that defined in the corresponding
+    [pose_landmarks](#pose_landmarks).
+
 #### face_landmarks
 
 A list of 468 face landmarks. Each landmark consists of `x`, `y` and `z`. `x`
@@ -202,12 +211,12 @@ A list of 21 hand landmarks on the right hand, in the same representation as
 
 Please first follow general [instructions](../getting_started/python.md) to
 install MediaPipe Python package, then learn more in the companion
-[Python Colab](#resources) and the following usage example.
+[Python Colab](#resources) and the usage example below.
 
 Supported configuration options:
 
 *   [static_image_mode](#static_image_mode)
-*   [upper_body_only](#upper_body_only)
+*   [model_complexity](#model_complexity)
 *   [smooth_landmarks](#smooth_landmarks)
 *   [min_detection_confidence](#min_detection_confidence)
 *   [min_tracking_confidence](#min_tracking_confidence)
@@ -216,11 +225,15 @@ Supported configuration options:
 import cv2
 import mediapipe as mp
 mp_drawing = mp.solutions.drawing_utils
+mp_drawing_styles = mp.solutions.drawing_styles
 mp_holistic = mp.solutions.holistic
 
 # For static images:
-with mp_holistic.Holistic(static_image_mode=True) as holistic:
-  for idx, file in enumerate(file_list):
+IMAGE_FILES = []
+with mp_holistic.Holistic(
+    static_image_mode=True,
+    model_complexity=2) as holistic:
+  for idx, file in enumerate(IMAGE_FILES):
     image = cv2.imread(file)
     image_height, image_width, _ = image.shape
     # Convert the BGR image to RGB before processing.
@@ -235,16 +248,22 @@ with mp_holistic.Holistic(static_image_mode=True) as holistic:
     # Draw pose, left and right hands, and face landmarks on the image.
     annotated_image = image.copy()
     mp_drawing.draw_landmarks(
-        annotated_image, results.face_landmarks, mp_holistic.FACE_CONNECTIONS)
+        annotated_image,
+        results.face_landmarks,
+        mp_holistic.FACEMESH_TESSELATION,
+        landmark_drawing_spec=None,
+        connection_drawing_spec=mp_drawing_styles
+        .get_default_face_mesh_tesselation_style())
     mp_drawing.draw_landmarks(
-        annotated_image, results.left_hand_landmarks, mp_holistic.HAND_CONNECTIONS)
-    mp_drawing.draw_landmarks(
-        annotated_image, results.right_hand_landmarks, mp_holistic.HAND_CONNECTIONS)
-    # Use mp_holistic.UPPER_BODY_POSE_CONNECTIONS for drawing below when
-    # upper_body_only is set to True.
-    mp_drawing.draw_landmarks(
-        annotated_image, results.pose_landmarks, mp_holistic.POSE_CONNECTIONS)
+        annotated_image,
+        results.pose_landmarks,
+        mp_holistic.POSE_CONNECTIONS,
+        landmark_drawing_spec=mp_drawing_styles.
+        get_default_pose_landmarks_style())
     cv2.imwrite('/tmp/annotated_image' + str(idx) + '.png', annotated_image)
+    # Plot pose world landmarks.
+    mp_drawing.plot_landmarks(
+        results.pose_world_landmarks, mp_holistic.POSE_CONNECTIONS)
 
 # For webcam input:
 cap = cv2.VideoCapture(0)
@@ -270,13 +289,18 @@ with mp_holistic.Holistic(
     image.flags.writeable = True
     image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
     mp_drawing.draw_landmarks(
-        image, results.face_landmarks, mp_holistic.FACE_CONNECTIONS)
+        image,
+        results.face_landmarks,
+        mp_holistic.FACEMESH_CONTOURS,
+        landmark_drawing_spec=None,
+        connection_drawing_spec=mp_drawing_styles
+        .get_default_face_mesh_contours_style())
     mp_drawing.draw_landmarks(
-        image, results.left_hand_landmarks, mp_holistic.HAND_CONNECTIONS)
-    mp_drawing.draw_landmarks(
-        image, results.right_hand_landmarks, mp_holistic.HAND_CONNECTIONS)
-    mp_drawing.draw_landmarks(
-        image, results.pose_landmarks, mp_holistic.POSE_CONNECTIONS)
+        image,
+        results.pose_landmarks,
+        mp_holistic.POSE_CONNECTIONS,
+        landmark_drawing_spec=mp_drawing_styles
+        .get_default_pose_landmarks_style())
     cv2.imshow('MediaPipe Holistic', image)
     if cv2.waitKey(5) & 0xFF == 27:
       break
@@ -291,7 +315,7 @@ and the following usage example.
 
 Supported configuration options:
 
-*   [upperBodyOnly](#upper_body_only)
+*   [modelComplexity](#model_complexity)
 *   [smoothLandmarks](#smooth_landmarks)
 *   [minDetectionConfidence](#min_detection_confidence)
 *   [minTrackingConfidence](#min_tracking_confidence)
@@ -348,7 +372,7 @@ const holistic = new Holistic({locateFile: (file) => {
   return `https://cdn.jsdelivr.net/npm/@mediapipe/holistic/${file}`;
 }});
 holistic.setOptions({
-  upperBodyOnly: false,
+  modelComplexity: 1,
   smoothLandmarks: true,
   minDetectionConfidence: 0.5,
   minTrackingConfidence: 0.5

docs/solutions/instant_motion_tracking.md

@@ -2,7 +2,7 @@
 layout: default
 title: Instant Motion Tracking
 parent: Solutions
-nav_order: 10
+nav_order: 11
 ---
 
 # MediaPipe Instant Motion Tracking

docs/solutions/iris.md

@@ -69,7 +69,7 @@ and renders using a dedicated
 The
 [face landmark subgraph](https://github.com/google/mediapipe/tree/master/mediapipe/modules/face_landmark/face_landmark_front_gpu.pbtxt)
 internally uses a
-[face detection subgraph](https://github.com/google/mediapipe/tree/master/mediapipe/modules/face_detection/face_detection_front_gpu.pbtxt)
+[face detection subgraph](https://github.com/google/mediapipe/tree/master/mediapipe/modules/face_detection/face_detection_short_range_gpu.pbtxt)
 from the
 [face detection module](https://github.com/google/mediapipe/tree/master/mediapipe/modules/face_detection).
 
@@ -193,7 +193,17 @@ on how to build MediaPipe examples.
 
 ### Web
 
-Please refer to [these instructions](../index.md#mediapipe-on-the-web).
+You can use the following links to load a demo in the MediaPipe Visualizer, and
+over there click the "Runner" icon in the top bar like shown below. The demos
+use your webcam video as input, which is processed all locally in real-time and
+never leaves your device. Please see
+[MediaPipe on the Web](https://developers.googleblog.com/2020/01/mediapipe-on-web.html)
+in Google Developers Blog for details.
+
+![visualizer_runner](../images/visualizer_runner.png)
+
+*   [MediaPipe Iris](https://viz.mediapipe.dev/demo/iris_tracking)
+*   [MediaPipe Iris: Depth-from-Iris](https://viz.mediapipe.dev/demo/iris_depth)
 
 ## Resources
 

docs/solutions/knift.md

@@ -2,7 +2,7 @@
 layout: default
 title: KNIFT (Template-based Feature Matching)
 parent: Solutions
-nav_order: 12
+nav_order: 13
 ---
 
 # MediaPipe KNIFT

docs/solutions/media_sequence.md

@@ -2,7 +2,7 @@
 layout: default
 title: Dataset Preparation with MediaSequence
 parent: Solutions
-nav_order: 14
+nav_order: 15
 ---
 
 # Dataset Preparation with MediaSequence

docs/solutions/models.md

@@ -14,12 +14,27 @@ nav_order: 30
 
 ### [Face Detection](https://google.github.io/mediapipe/solutions/face_detection)
 
-*   Face detection model for front-facing/selfie camera:
-    [TFLite model](https://github.com/google/mediapipe/tree/master/mediapipe/models/face_detection_front.tflite),
-    [TFLite model quantized for EdgeTPU/Coral](https://github.com/google/mediapipe/tree/master/mediapipe/examples/coral/models/face-detector-quantized_edgetpu.tflite)
-*   Face detection model for back-facing camera:
-    [TFLite model ](https://github.com/google/mediapipe/tree/master/mediapipe/models/face_detection_back.tflite)
-*   [Model card](https://mediapipe.page.link/blazeface-mc)
+*   Short-range model (best for faces within 2 meters from the camera):
+    [TFLite model](https://github.com/google/mediapipe/tree/master/mediapipe/modules/face_detection/face_detection_short_range.tflite),
+    [TFLite model quantized for EdgeTPU/Coral](https://github.com/google/mediapipe/tree/master/mediapipe/examples/coral/models/face-detector-quantized_edgetpu.tflite),
+    [Model card](https://mediapipe.page.link/blazeface-mc)
+*   Full-range model (dense, best for faces within 5 meters from the camera):
+    [TFLite model](https://github.com/google/mediapipe/tree/master/mediapipe/modules/face_detection/face_detection_full_range.tflite),
+    [Model card](https://mediapipe.page.link/blazeface-back-mc)
+*   Full-range model (sparse, best for faces within 5 meters from the camera):
+    [TFLite model](https://github.com/google/mediapipe/tree/master/mediapipe/modules/face_detection/face_detection_full_range_sparse.tflite),
+    [Model card](https://mediapipe.page.link/blazeface-back-sparse-mc)
+
+Full-range dense and sparse models have the same quality in terms of
+[F-score](https://en.wikipedia.org/wiki/F-score) however differ in underlying
+metrics. The dense model is slightly better in
+[Recall](https://en.wikipedia.org/wiki/Precision_and_recall) whereas the sparse
+model outperforms the dense one in
+[Precision](https://en.wikipedia.org/wiki/Precision_and_recall). Speed-wise
+sparse model is ~30% faster when executing on CPU via
+[XNNPACK](https://github.com/google/XNNPACK) whereas on GPU the models
+demonstrate comparable latencies. Depending on your application, you may prefer
+one over the other.
 
 ### [Face Mesh](https://google.github.io/mediapipe/solutions/face_mesh)
 
@@ -49,10 +64,10 @@ nav_order: 30
 
 *   Pose detection model:
     [TFLite model](https://github.com/google/mediapipe/tree/master/mediapipe/modules/pose_detection/pose_detection.tflite)
-*   Full-body pose landmark model:
-    [TFLite model](https://github.com/google/mediapipe/tree/master/mediapipe/modules/pose_landmark/pose_landmark_full_body.tflite)
-*   Upper-body pose landmark model:
-    [TFLite model](https://github.com/google/mediapipe/tree/master/mediapipe/modules/pose_landmark/pose_landmark_upper_body.tflite)
+*   Pose landmark model:
+    [TFLite model (lite)](https://github.com/google/mediapipe/tree/master/mediapipe/modules/pose_landmark/pose_landmark_lite.tflite),
+    [TFLite model (full)](https://github.com/google/mediapipe/tree/master/mediapipe/modules/pose_landmark/pose_landmark_full.tflite),
+    [TFLite model (heavy)](https://github.com/google/mediapipe/tree/master/mediapipe/modules/pose_landmark/pose_landmark_heavy.tflite)
 *   [Model card](https://mediapipe.page.link/blazepose-mc)
 
 ### [Holistic](https://google.github.io/mediapipe/solutions/holistic)
@@ -60,6 +75,12 @@ nav_order: 30
 *   Hand recrop model:
     [TFLite model](https://github.com/google/mediapipe/tree/master/mediapipe/modules/holistic_landmark/hand_recrop.tflite)
 
+### [Selfie Segmentation](https://google.github.io/mediapipe/solutions/selfie_segmentation)
+
+*   [TFLite model (general)](https://github.com/google/mediapipe/tree/master/mediapipe/modules/selfie_segmentation/selfie_segmentation.tflite)
+*   [TFLite model (landscape)](https://github.com/google/mediapipe/tree/master/mediapipe/modules/selfie_segmentation/selfie_segmentation_landscape.tflite)
+*   [Model card](https://mediapipe.page.link/selfiesegmentation-mc)
+
 ### [Hair Segmentation](https://google.github.io/mediapipe/solutions/hair_segmentation)
 
 *   [TFLite model](https://github.com/google/mediapipe/tree/master/mediapipe/models/hair_segmentation.tflite)

docs/solutions/object_detection.md

@@ -2,7 +2,7 @@
 layout: default
 title: Object Detection
 parent: Solutions
-nav_order: 8
+nav_order: 9
 ---
 
 # MediaPipe Object Detection

docs/solutions/objectron.md

@@ -2,7 +2,7 @@
 layout: default
 title: Objectron (3D Object Detection)
 parent: Solutions
-nav_order: 11
+nav_order: 12
 ---
 
 # MediaPipe Objectron
@@ -224,29 +224,33 @@ where object detection simply runs on every image. Default to `0.99`.
 
 #### model_name
 
-Name of the model to use for predicting 3D bounding box landmarks. Currently supports
-`{'Shoe', 'Chair', 'Cup', 'Camera'}`.
+Name of the model to use for predicting 3D bounding box landmarks. Currently
+supports `{'Shoe', 'Chair', 'Cup', 'Camera'}`. Default to `Shoe`.
 
 #### focal_length
 
-Camera focal length `(fx, fy)`, by default is defined in
-[NDC space](#ndc-space). To use focal length `(fx_pixel, fy_pixel)` in
-[pixel space](#pixel-space), users should provide `image_size` = `(image_width,
-image_height)` to enable conversions inside the API. For further details about
-NDC and pixel space, please see [Coordinate Systems](#coordinate-systems).
+By default, camera focal length defined in [NDC space](#ndc-space), i.e., `(fx,
+fy)`. Default to `(1.0, 1.0)`. To specify focal length in
+[pixel space](#pixel-space) instead, i.e., `(fx_pixel, fy_pixel)`, users should
+provide [`image_size`](#image_size) = `(image_width, image_height)` to enable
+conversions inside the API. For further details about NDC and pixel space,
+please see [Coordinate Systems](#coordinate-systems).
 
 #### principal_point
 
-Camera principal point `(px, py)`, by default is defined in
-[NDC space](#ndc-space). To use principal point `(px_pixel, py_pixel)` in
-[pixel space](#pixel-space), users should provide `image_size` = `(image_width,
-image_height)` to enable conversions inside the API. For further details about
-NDC and pixel space, please see [Coordinate Systems](#coordinate-systems).
+By default, camera principal point defined in [NDC space](#ndc-space), i.e.,
+`(px, py)`. Default to `(0.0, 0.0)`. To specify principal point in
+[pixel space](#pixel-space), i.e.,`(px_pixel, py_pixel)`, users should provide
+[`image_size`](#image_size) = `(image_width, image_height)` to enable
+conversions inside the API. For further details about NDC and pixel space,
+please see [Coordinate Systems](#coordinate-systems).
 
 #### image_size
 
-(**Optional**) size `(image_width, image_height)` of the input image, **ONLY**
-needed when use `focal_length` and `principal_point` in pixel space.
+**Specify only when [`focal_length`](#focal_length) and
+[`principal_point`](#principal_point) are specified in pixel space.**
+
+Size of the input image, i.e., `(image_width, image_height)`.
 
 ### Output
 
@@ -277,7 +281,7 @@ following:
 
 Please first follow general [instructions](../getting_started/python.md) to
 install MediaPipe Python package, then learn more in the companion
-[Python Colab](#resources) and the following usage example.
+[Python Colab](#resources) and the usage example below.
 
 Supported configuration options:
 
@@ -297,11 +301,12 @@ mp_drawing = mp.solutions.drawing_utils
 mp_objectron = mp.solutions.objectron
 
 # For static images:
+IMAGE_FILES = []
 with mp_objectron.Objectron(static_image_mode=True,
                             max_num_objects=5,
                             min_detection_confidence=0.5,
                             model_name='Shoe') as objectron:
-  for idx, file in enumerate(file_list):
+  for idx, file in enumerate(IMAGE_FILES):
     image = cv2.imread(file)
     # Convert the BGR image to RGB and process it with MediaPipe Objectron.
     results = objectron.process(cv2.cvtColor(image, cv2.COLOR_BGR2RGB))
@@ -355,6 +360,89 @@ with mp_objectron.Objectron(static_image_mode=False,
 cap.release()
 ```
 
+## JavaScript Solution API
+
+Please first see general [introduction](../getting_started/javascript.md) on
+MediaPipe in JavaScript, then learn more in the companion [web demo](#resources)
+and the following usage example.
+
+Supported configuration options:
+
+*   [staticImageMode](#static_image_mode)
+*   [maxNumObjects](#max_num_objects)
+*   [minDetectionConfidence](#min_detection_confidence)
+*   [minTrackingConfidence](#min_tracking_confidence)
+*   [modelName](#model_name)
+*   [focalLength](#focal_length)
+*   [principalPoint](#principal_point)
+*   [imageSize](#image_size)
+
+```html
+<!DOCTYPE html>
+<html>
+<head>
+  <meta charset="utf-8">
+  <script src="https://cdn.jsdelivr.net/npm/@mediapipe/camera_utils/camera_utils.js" crossorigin="anonymous"></script>
+  <script src="https://cdn.jsdelivr.net/npm/@mediapipe/control_utils/control_utils.js" crossorigin="anonymous"></script>
+  <script src="https://cdn.jsdelivr.net/npm/@mediapipe/drawing_utils/control_utils_3d.js" crossorigin="anonymous"></script>
+  <script src="https://cdn.jsdelivr.net/npm/@mediapipe/drawing_utils/drawing_utils.js" crossorigin="anonymous"></script>
+  <script src="https://cdn.jsdelivr.net/npm/@mediapipe/objectron/objectron.js" crossorigin="anonymous"></script>
+</head>
+
+<body>
+  <div class="container">
+    <video class="input_video"></video>
+    <canvas class="output_canvas" width="1280px" height="720px"></canvas>
+  </div>
+</body>
+</html>
+```
+
+```javascript
+<script type="module">
+const videoElement = document.getElementsByClassName('input_video')[0];
+const canvasElement = document.getElementsByClassName('output_canvas')[0];
+const canvasCtx = canvasElement.getContext('2d');
+
+function onResults(results) {
+  canvasCtx.save();
+  canvasCtx.drawImage(
+      results.image, 0, 0, canvasElement.width, canvasElement.height);
+  if (!!results.objectDetections) {
+    for (const detectedObject of results.objectDetections) {
+      // Reformat keypoint information as landmarks, for easy drawing.
+      const landmarks: mpObjectron.Point2D[] =
+          detectedObject.keypoints.map(x => x.point2d);
+      // Draw bounding box.
+      drawingUtils.drawConnectors(canvasCtx, landmarks,
+          mpObjectron.BOX_CONNECTIONS, {color: '#FF0000'});
+      // Draw centroid.
+      drawingUtils.drawLandmarks(canvasCtx, [landmarks[0]], {color: '#FFFFFF'});
+    }
+  }
+  canvasCtx.restore();
+}
+
+const objectron = new Objectron({locateFile: (file) => {
+  return `https://cdn.jsdelivr.net/npm/@mediapipe/objectron/${file}`;
+}});
+objectron.setOptions({
+  modelName: 'Chair',
+  maxNumObjects: 3,
+});
+objectron.onResults(onResults);
+
+const camera = new Camera(videoElement, {
+  onFrame: async () => {
+    await objectron.send({image: videoElement});
+  },
+  width: 1280,
+  height: 720
+});
+camera.start();
+</script>
+```
+
 ## Example Apps
 
 Please first see general instructions for
@@ -441,7 +529,7 @@ Example app bounding boxes are rendered with [GlAnimationOverlayCalculator](http
 > ```
 > and then run
 >
-> ```build
+> ```bash
 > bazel run -c opt mediapipe/graphs/object_detection_3d/obj_parser:ObjParser -- input_dir=[INTERMEDIATE_OUTPUT_DIR] output_dir=[OUTPUT_DIR]
 > ```
 > INPUT_DIR should be the folder with initial asset .obj files to be processed,
@@ -560,11 +648,15 @@ py = -py_pixel * 2.0 / image_height + 1.0
     [Announcing the Objectron Dataset](https://ai.googleblog.com/2020/11/announcing-objectron-dataset.html)
 *   Google AI Blog:
     [Real-Time 3D Object Detection on Mobile Devices with MediaPipe](https://ai.googleblog.com/2020/03/real-time-3d-object-detection-on-mobile.html)
-*   Paper: [Objectron: A Large Scale Dataset of Object-Centric Videos in the Wild with Pose Annotations](https://arxiv.org/abs/2012.09988), to appear in CVPR 2021
+*   Paper: [Objectron: A Large Scale Dataset of Object-Centric Videos in the
+    Wild with Pose Annotations](https://arxiv.org/abs/2012.09988), to appear in
+    CVPR 2021
 *   Paper: [MobilePose: Real-Time Pose Estimation for Unseen Objects with Weak
     Shape Supervision](https://arxiv.org/abs/2003.03522)
 *   Paper:
     [Instant 3D Object Tracking with Applications in Augmented Reality](https://drive.google.com/open?id=1O_zHmlgXIzAdKljp20U_JUkEHOGG52R8)
-    ([presentation](https://www.youtube.com/watch?v=9ndF1AIo7h0)), Fourth Workshop on Computer Vision for AR/VR, CVPR 2020
+    ([presentation](https://www.youtube.com/watch?v=9ndF1AIo7h0)), Fourth
+    Workshop on Computer Vision for AR/VR, CVPR 2020
 *   [Models and model cards](./models.md#objectron)
+*   [Web demo](https://code.mediapipe.dev/codepen/objectron)
 *   [Python Colab](https://mediapipe.page.link/objectron_py_colab)

docs/solutions/pose.md

@@ -30,8 +30,8 @@ overlay of digital content and information on top of the physical world in
 augmented reality.
 
 MediaPipe Pose is a ML solution for high-fidelity body pose tracking, inferring
-33 3D landmarks on the whole body (or 25 upper-body landmarks) from RGB video
-frames utilizing our
+33 3D landmarks and background segmentation mask on the whole body from RGB
+video frames utilizing our
 [BlazePose](https://ai.googleblog.com/2020/08/on-device-real-time-body-pose-tracking.html)
 research that also powers the
 [ML Kit Pose Detection API](https://developers.google.com/ml-kit/vision/pose-detection).
@@ -40,9 +40,9 @@ environments for inference, whereas our method achieves real-time performance on
 most modern [mobile phones](#mobile), [desktops/laptops](#desktop), in
 [python](#python-solution-api) and even on the [web](#javascript-solution-api).
 
-![pose_tracking_upper_body_example.gif](../images/mobile/pose_tracking_upper_body_example.gif) |
-:--------------------------------------------------------------------------------------------: |
-*Fig 1. Example of MediaPipe Pose for upper-body pose tracking.*                               |
+![pose_tracking_example.gif](../images/mobile/pose_tracking_example.gif) |
+:----------------------------------------------------------------------: |
+*Fig 1. Example of MediaPipe Pose for pose tracking.*                    |
 
 ## ML Pipeline
 
@@ -50,11 +50,11 @@ The solution utilizes a two-step detector-tracker ML pipeline, proven to be
 effective in our [MediaPipe Hands](./hands.md) and
 [MediaPipe Face Mesh](./face_mesh.md) solutions. Using a detector, the pipeline
 first locates the person/pose region-of-interest (ROI) within the frame. The
-tracker subsequently predicts the pose landmarks within the ROI using the
-ROI-cropped frame as input. Note that for video use cases the detector is
-invoked only as needed, i.e., for the very first frame and when the tracker
-could no longer identify body pose presence in the previous frame. For other
-frames the pipeline simply derives the ROI from the previous frame’s pose
+tracker subsequently predicts the pose landmarks and segmentation mask within
+the ROI using the ROI-cropped frame as input. Note that for video use cases the
+detector is invoked only as needed, i.e., for the very first frame and when the
+tracker could no longer identify body pose presence in the previous frame. For
+other frames the pipeline simply derives the ROI from the previous frame’s pose
 landmarks.
 
 The pipeline is implemented as a MediaPipe
@@ -77,6 +77,36 @@ Note: To visualize a graph, copy the graph and paste it into
 to visualize its associated subgraphs, please see
 [visualizer documentation](../tools/visualizer.md).
 
+## Pose Estimation Quality
+
+To evaluate the quality of our [models](./models.md#pose) against other
+well-performing publicly available solutions, we use three different validation
+datasets, representing different verticals: Yoga, Dance and HIIT. Each image
+contains only a single person located 2-4 meters from the camera. To be
+consistent with other solutions, we perform evaluation only for 17 keypoints
+from [COCO topology](https://cocodataset.org/#keypoints-2020).
+
+Method                                                                                                | Yoga <br/> [`mAP`] | Yoga <br/> [`[email protected]`] | Dance <br/> [`mAP`] | Dance <br/> [`[email protected]`] | HIIT <br/> [`mAP`] | HIIT <br/> [`[email protected]`]
+----------------------------------------------------------------------------------------------------- | -----------------: | ---------------------: | ------------------: | ----------------------: | -----------------: | ---------------------:
+BlazePose.Heavy                                                                                       | 68.1               | **96.4**               | 73.0                | **97.2**                | 74.0               | **97.5**
+BlazePose.Full                                                                                        | 62.6               | **95.5**               | 67.4                | **96.3**                | 68.0               | **95.7**
+BlazePose.Lite                                                                                        | 45.0               | **90.2**               | 53.6                | **92.5**                | 53.8               | **93.5**
+[AlphaPose.ResNet50](https://github.com/MVIG-SJTU/AlphaPose)                                          | 63.4               | **96.0**               | 57.8                | **95.5**                | 63.4               | **96.0**
+[Apple.Vision](https://developer.apple.com/documentation/vision/detecting_human_body_poses_in_images) | 32.8               | **82.7**               | 36.4                | **91.4**                | 44.5               | **88.6**
+
+![pose_tracking_pck_chart.png](../images/mobile/pose_tracking_pck_chart.png) |
+:--------------------------------------------------------------------------: |
+*Fig 2. Quality evaluation in [`[email protected]`].*                                  |
+
+We designed our models specifically for live perception use cases, so all of
+them work in real-time on the majority of modern devices.
+
+Method          | Latency <br/> Pixel 3 [TFLite GPU](https://www.tensorflow.org/lite/performance/gpu_advanced) | Latency <br/> MacBook Pro (15-inch 2017)
+--------------- | -------------------------------------------------------------------------------------------: | ---------------------------------------:
+BlazePose.Heavy | 53 ms                                                                                        | 38 ms
+BlazePose.Full  | 25 ms                                                                                        | 27 ms
+BlazePose.Lite  | 20 ms                                                                                        | 25 ms
+
 ## Models
 
 ### Person/pose Detection Model (BlazePose Detector)
@@ -93,25 +123,25 @@ hip midpoints.
 
 ![pose_tracking_detector_vitruvian_man.png](../images/mobile/pose_tracking_detector_vitruvian_man.png) |
 :----------------------------------------------------------------------------------------------------: |
-*Fig 2. Vitruvian man aligned via two virtual keypoints predicted by BlazePose detector in addition to the face bounding box.* |
+*Fig 3. Vitruvian man aligned via two virtual keypoints predicted by BlazePose detector in addition to the face bounding box.* |
 
 ### Pose Landmark Model (BlazePose GHUM 3D)
 
-The landmark model in MediaPipe Pose comes in two versions: a full-body model
-that predicts the location of 33 pose landmarks (see figure below), and an
-upper-body version that only predicts the first 25. The latter may be more
-accurate than the former in scenarios where the lower-body parts are mostly out
-of view.
-
-Please find more detail in the
-[BlazePose Google AI Blog](https://ai.googleblog.com/2020/08/on-device-real-time-body-pose-tracking.html),
-this [paper](https://arxiv.org/abs/2006.10204) and
-[the model card](./models.md#pose), and the attributes in each landmark
-[below](#pose_landmarks).
+The landmark model in MediaPipe Pose predicts the location of 33 pose landmarks
+(see figure below).
 
 ![pose_tracking_full_body_landmarks.png](../images/mobile/pose_tracking_full_body_landmarks.png) |
 :----------------------------------------------------------------------------------------------: |
-*Fig 3. 33 pose landmarks.*                                                                      |
+*Fig 4. 33 pose landmarks.*                                                                      |
+
+Optionally, MediaPipe Pose can predicts a full-body
+[segmentation mask](#segmentation_mask) represented as a two-class segmentation
+(human or background).
+
+Please find more detail in the
+[BlazePose Google AI Blog](https://ai.googleblog.com/2020/08/on-device-real-time-body-pose-tracking.html),
+this [paper](https://arxiv.org/abs/2006.10204),
+[the model card](./models.md#pose) and the [Output](#output) section below.
 
 ## Solution APIs
 
@@ -129,12 +159,11 @@ until it loses track, on reducing computation and latency. If set to `true`,
 person detection runs every input image, ideal for processing a batch of static,
 possibly unrelated, images. Default to `false`.
 
-#### upper_body_only
+#### model_complexity
 
-If set to `true`, the solution outputs only the 25 upper-body pose landmarks.
-Otherwise, it outputs the full set of 33 pose landmarks. Note that
-upper-body-only prediction may be more accurate for use cases where the
-lower-body parts are mostly out of view. Default to `false`.
+Complexity of the pose landmark model: `0`, `1` or `2`. Landmark accuracy as
+well as inference latency generally go up with the model complexity. Default to
+`1`.
 
 #### smooth_landmarks
 
@@ -142,6 +171,18 @@ If set to `true`, the solution filters pose landmarks across different input
 images to reduce jitter, but ignored if [static_image_mode](#static_image_mode)
 is also set to `true`. Default to `true`.
 
+#### enable_segmentation
+
+If set to `true`, in addition to the pose landmarks the solution also generates
+the segmentation mask. Default to `false`.
+
+#### smooth_segmentation
+
+If set to `true`, the solution filters segmentation masks across different input
+images to reduce jitter. Ignored if [enable_segmentation](#enable_segmentation)
+is `false` or [static_image_mode](#static_image_mode) is `true`. Default to
+`true`.
+
 #### min_detection_confidence
 
 Minimum confidence value (`[0.0, 1.0]`) from the person-detection model for the
@@ -162,31 +203,56 @@ Naming style may differ slightly across platforms/languages.
 
 #### pose_landmarks
 
-A list of pose landmarks. Each lanmark consists of the following:
+A list of pose landmarks. Each landmark consists of the following:
 
 *   `x` and `y`: Landmark coordinates normalized to `[0.0, 1.0]` by the image
     width and height respectively.
 *   `z`: Represents the landmark depth with the depth at the midpoint of hips
     being the origin, and the smaller the value the closer the landmark is to
     the camera. The magnitude of `z` uses roughly the same scale as `x`.
-
-    Note: `z` is predicted only in full-body mode, and should be discarded when
-    [upper_body_only](#upper_body_only) is `true`.
-
 *   `visibility`: A value in `[0.0, 1.0]` indicating the likelihood of the
     landmark being visible (present and not occluded) in the image.
 
+#### pose_world_landmarks
+
+*Fig 5. Example of MediaPipe Pose real-world 3D coordinates.* |
+:-----------------------------------------------------------: |
+<video autoplay muted loop preload style="height: auto; width: 480px"><source src="../images/mobile/pose_world_landmarks.mp4" type="video/mp4"></video> |
+
+Another list of pose landmarks in world coordinates. Each landmark consists of
+the following:
+
+*   `x`, `y` and `z`: Real-world 3D coordinates in meters with the origin at the
+    center between hips.
+*   `visibility`: Identical to that defined in the corresponding
+    [pose_landmarks](#pose_landmarks).
+
+#### segmentation_mask
+
+The output segmentation mask, predicted only when
+[enable_segmentation](#enable_segmentation) is set to `true`. The mask has the
+same width and height as the input image, and contains values in `[0.0, 1.0]`
+where `1.0` and `0.0` indicate high certainty of a "human" and "background"
+pixel respectively. Please refer to the platform-specific usage examples below
+for usage details.
+
+*Fig 6. Example of MediaPipe Pose segmentation mask.* |
+:-----------------------------------------------------------: |
+<video autoplay muted loop preload style="height: auto; width: 480px"><source src="../images/mobile/pose_segmentation.mp4" type="video/mp4"></video> |
+
 ### Python Solution API
 
 Please first follow general [instructions](../getting_started/python.md) to
 install MediaPipe Python package, then learn more in the companion
-[Python Colab](#resources) and the following usage example.
+[Python Colab](#resources) and the usage example below.
 
 Supported configuration options:
 
 *   [static_image_mode](#static_image_mode)
-*   [upper_body_only](#upper_body_only)
+*   [model_complexity](#model_complexity)
 *   [smooth_landmarks](#smooth_landmarks)
+*   [enable_segmentation](#enable_segmentation)
+*   [smooth_segmentation](#smooth_segmentation)
 *   [min_detection_confidence](#min_detection_confidence)
 *   [min_tracking_confidence](#min_tracking_confidence)
 
@@ -194,12 +260,18 @@ Supported configuration options:
 import cv2
 import mediapipe as mp
 mp_drawing = mp.solutions.drawing_utils
+mp_drawing_styles = mp.solutions.drawing_styles
 mp_pose = mp.solutions.pose
 
 # For static images:
+IMAGE_FILES = []
+BG_COLOR = (192, 192, 192) # gray
 with mp_pose.Pose(
-    static_image_mode=True, min_detection_confidence=0.5) as pose:
-  for idx, file in enumerate(file_list):
+    static_image_mode=True,
+    model_complexity=2,
+    enable_segmentation=True,
+    min_detection_confidence=0.5) as pose:
+  for idx, file in enumerate(IMAGE_FILES):
     image = cv2.imread(file)
     image_height, image_width, _ = image.shape
     # Convert the BGR image to RGB before processing.
@@ -209,16 +281,28 @@ with mp_pose.Pose(
       continue
     print(
         f'Nose coordinates: ('
-        f'{results.pose_landmarks.landmark[mp_holistic.PoseLandmark.NOSE].x * image_width}, '
-        f'{results.pose_landmarks.landmark[mp_holistic.PoseLandmark.NOSE].y * image_height})'
+        f'{results.pose_landmarks.landmark[mp_pose.PoseLandmark.NOSE].x * image_width}, '
+        f'{results.pose_landmarks.landmark[mp_pose.PoseLandmark.NOSE].y * image_height})'
     )
-    # Draw pose landmarks on the image.
+
     annotated_image = image.copy()
-    # Use mp_pose.UPPER_BODY_POSE_CONNECTIONS for drawing below when
-    # upper_body_only is set to True.
+    # Draw segmentation on the image.
+    # To improve segmentation around boundaries, consider applying a joint
+    # bilateral filter to "results.segmentation_mask" with "image".
+    condition = np.stack((results.segmentation_mask,) * 3, axis=-1) > 0.1
+    bg_image = np.zeros(image.shape, dtype=np.uint8)
+    bg_image[:] = BG_COLOR
+    annotated_image = np.where(condition, annotated_image, bg_image)
+    # Draw pose landmarks on the image.
     mp_drawing.draw_landmarks(
-        annotated_image, results.pose_landmarks, mp_pose.POSE_CONNECTIONS)
+        annotated_image,
+        results.pose_landmarks,
+        mp_pose.POSE_CONNECTIONS,
+        landmark_drawing_spec=mp_drawing_styles.get_default_pose_landmarks_style())
     cv2.imwrite('/tmp/annotated_image' + str(idx) + '.png', annotated_image)
+    # Plot pose world landmarks.
+    mp_drawing.plot_landmarks(
+        results.pose_world_landmarks, mp_pose.POSE_CONNECTIONS)
 
 # For webcam input:
 cap = cv2.VideoCapture(0)
@@ -244,7 +328,10 @@ with mp_pose.Pose(
     image.flags.writeable = True
     image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
     mp_drawing.draw_landmarks(
-        image, results.pose_landmarks, mp_pose.POSE_CONNECTIONS)
+        image,
+        results.pose_landmarks,
+        mp_pose.POSE_CONNECTIONS,
+        landmark_drawing_spec=mp_drawing_styles.get_default_pose_landmarks_style())
     cv2.imshow('MediaPipe Pose', image)
     if cv2.waitKey(5) & 0xFF == 27:
       break
@@ -259,8 +346,10 @@ and the following usage example.
 
 Supported configuration options:
 
-*   [upperBodyOnly](#upper_body_only)
+*   [modelComplexity](#model_complexity)
 *   [smoothLandmarks](#smooth_landmarks)
+*   [enableSegmentation](#enable_segmentation)
+*   [smoothSegmentation](#smooth_segmentation)
 *   [minDetectionConfidence](#min_detection_confidence)
 *   [minTrackingConfidence](#min_tracking_confidence)
 
@@ -271,6 +360,7 @@ Supported configuration options:
   <meta charset="utf-8">
   <script src="https://cdn.jsdelivr.net/npm/@mediapipe/camera_utils/camera_utils.js" crossorigin="anonymous"></script>
   <script src="https://cdn.jsdelivr.net/npm/@mediapipe/control_utils/control_utils.js" crossorigin="anonymous"></script>
+  <script src="https://cdn.jsdelivr.net/npm/@mediapipe/drawing_utils/control_utils_3d.js" crossorigin="anonymous"></script>
   <script src="https://cdn.jsdelivr.net/npm/@mediapipe/drawing_utils/drawing_utils.js" crossorigin="anonymous"></script>
   <script src="https://cdn.jsdelivr.net/npm/@mediapipe/pose/pose.js" crossorigin="anonymous"></script>
 </head>
@@ -279,6 +369,7 @@ Supported configuration options:
   <div class="container">
     <video class="input_video"></video>
     <canvas class="output_canvas" width="1280px" height="720px"></canvas>
+    <div class="landmark-grid-container"></div>
   </div>
 </body>
 </html>
@@ -289,25 +380,48 @@ Supported configuration options:
 const videoElement = document.getElementsByClassName('input_video')[0];
 const canvasElement = document.getElementsByClassName('output_canvas')[0];
 const canvasCtx = canvasElement.getContext('2d');
+const landmarkContainer = document.getElementsByClassName('landmark-grid-container')[0];
+const grid = new LandmarkGrid(landmarkContainer);
 
 function onResults(results) {
+  if (!results.poseLandmarks) {
+    grid.updateLandmarks([]);
+    return;
+  }
+
   canvasCtx.save();
   canvasCtx.clearRect(0, 0, canvasElement.width, canvasElement.height);
+  canvasCtx.drawImage(results.segmentationMask, 0, 0,
+                      canvasElement.width, canvasElement.height);
+
+  // Only overwrite existing pixels.
+  canvasCtx.globalCompositeOperation = 'source-in';
+  canvasCtx.fillStyle = '#00FF00';
+  canvasCtx.fillRect(0, 0, canvasElement.width, canvasElement.height);
+
+  // Only overwrite missing pixels.
+  canvasCtx.globalCompositeOperation = 'destination-atop';
   canvasCtx.drawImage(
       results.image, 0, 0, canvasElement.width, canvasElement.height);
+
+  canvasCtx.globalCompositeOperation = 'source-over';
   drawConnectors(canvasCtx, results.poseLandmarks, POSE_CONNECTIONS,
                  {color: '#00FF00', lineWidth: 4});
   drawLandmarks(canvasCtx, results.poseLandmarks,
                 {color: '#FF0000', lineWidth: 2});
   canvasCtx.restore();
+
+  grid.updateLandmarks(results.poseWorldLandmarks);
 }
 
 const pose = new Pose({locateFile: (file) => {
   return `https://cdn.jsdelivr.net/npm/@mediapipe/pose/${file}`;
 }});
 pose.setOptions({
-  upperBodyOnly: false,
+  modelComplexity: 1,
   smoothLandmarks: true,
+  enableSegmentation: true,
+  smoothSegmentation: true,
   minDetectionConfidence: 0.5,
   minTrackingConfidence: 0.5
 });
@@ -347,16 +461,6 @@ to visualize its associated subgraphs, please see
 *   iOS target:
     [`mediapipe/examples/ios/posetrackinggpu:PoseTrackingGpuApp`](http:/mediapipe/examples/ios/posetrackinggpu/BUILD)
 
-#### Upper-body Only
-
-*   Graph:
-    [`mediapipe/graphs/pose_tracking/upper_body_pose_tracking_gpu.pbtxt`](https://github.com/google/mediapipe/tree/master/mediapipe/graphs/pose_tracking/upper_body_pose_tracking_gpu.pbtxt)
-*   Android target:
-    [(or download prebuilt ARM64 APK)](https://drive.google.com/file/d/1uKc6T7KSuA0Mlq2URi5YookHu0U3yoh_/view?usp=sharing)
-    [`mediapipe/examples/android/src/java/com/google/mediapipe/apps/upperbodyposetrackinggpu:upperbodyposetrackinggpu`](https://github.com/google/mediapipe/tree/master/mediapipe/examples/android/src/java/com/google/mediapipe/apps/upperbodyposetrackinggpu/BUILD)
-*   iOS target:
-    [`mediapipe/examples/ios/upperbodyposetrackinggpu:UpperBodyPoseTrackingGpuApp`](http:/mediapipe/examples/ios/upperbodyposetrackinggpu/BUILD)
-
 ### Desktop
 
 Please first see general instructions for [desktop](../getting_started/cpp.md)
@@ -375,19 +479,6 @@ on how to build MediaPipe examples.
     *   Target:
         [`mediapipe/examples/desktop/pose_tracking:pose_tracking_gpu`](https://github.com/google/mediapipe/tree/master/mediapipe/examples/desktop/pose_tracking/BUILD)
 
-#### Upper-body Only
-
-*   Running on CPU
-    *   Graph:
-        [`mediapipe/graphs/pose_tracking/upper_body_pose_tracking_cpu.pbtxt`](https://github.com/google/mediapipe/tree/master/mediapipe/graphs/pose_tracking/upper_body_pose_tracking_cpu.pbtxt)
-    *   Target:
-        [`mediapipe/examples/desktop/upper_body_pose_tracking:upper_body_pose_tracking_cpu`](https://github.com/google/mediapipe/tree/master/mediapipe/examples/desktop/upper_body_pose_tracking/BUILD)
-*   Running on GPU
-    *   Graph:
-        [`mediapipe/graphs/pose_tracking/upper_body_pose_tracking_gpu.pbtxt`](https://github.com/google/mediapipe/tree/master/mediapipe/graphs/pose_tracking/upper_body_pose_tracking_gpu.pbtxt)
-    *   Target:
-        [`mediapipe/examples/desktop/upper_body_pose_tracking:upper_body_pose_tracking_gpu`](https://github.com/google/mediapipe/tree/master/mediapipe/examples/desktop/upper_body_pose_tracking/BUILD)
-
 ## Resources
 
 *   Google AI Blog:
@@ -398,3 +489,6 @@ on how to build MediaPipe examples.
 *   [Models and model cards](./models.md#pose)
 *   [Web demo](https://code.mediapipe.dev/codepen/pose)
 *   [Python Colab](https://mediapipe.page.link/pose_py_colab)
+
+[`mAP`]: https://cocodataset.org/#keypoints-eval
+[`[email protected]`]: https://github.com/cbsudux/Human-Pose-Estimation-101

docs/solutions/selfie_segmentation.md

@@ -0,0 +1,290 @@
+---
+layout: default
+title: Selfie Segmentation
+parent: Solutions
+nav_order: 7
+---
+
+# MediaPipe Selfie Segmentation
+{: .no_toc }
+
+<details close markdown="block">
+  <summary>
+    Table of contents
+  </summary>
+  {: .text-delta }
+1. TOC
+{:toc}
+</details>
+---
+
+## Overview
+
+*Fig 1. Example of MediaPipe Selfie Segmentation.* |
+:------------------------------------------------: |
+<video autoplay muted loop preload style="height: auto; width: 480px"><source src="../images/selfie_segmentation_web.mp4" type="video/mp4"></video> |
+
+MediaPipe Selfie Segmentation segments the prominent humans in the scene. It can
+run in real-time on both smartphones and laptops. The intended use cases include
+selfie effects and video conferencing, where the person is close (< 2m) to the
+camera.
+
+## Models
+
+In this solution, we provide two models: general and landscape. Both models are
+based on
+[MobileNetV3](https://ai.googleblog.com/2019/11/introducing-next-generation-on-device.html),
+with modifications to make them more efficient. The general model operates on a
+256x256x3 (HWC) tensor, and outputs a 256x256x1 tensor representing the
+segmentation mask. The landscape model is similar to the general model, but
+operates on a 144x256x3 (HWC) tensor. It has fewer FLOPs than the general model,
+and therefore, runs faster. Note that MediaPipe Selfie Segmentation
+automatically resizes the input image to the desired tensor dimension before
+feeding it into the ML models.
+
+The general model is also powering
+[ML Kit](https://developers.google.com/ml-kit/vision/selfie-segmentation), and a
+variant of the landscape model is powering
+[Google Meet](https://ai.googleblog.com/2020/10/background-features-in-google-meet.html).
+Please find more detail about the models in the
+[model card](./models.md#selfie-segmentation).
+
+## ML Pipeline
+
+The pipeline is implemented as a MediaPipe
+[graph](https://github.com/google/mediapipe/tree/master/mediapipe/graphs/selfie_segmentation/selfie_segmentation_gpu.pbtxt)
+that uses a
+[selfie segmentation subgraph](https://github.com/google/mediapipe/tree/master/mediapipe/modules/selfie_segmentation/selfie_segmentation_gpu.pbtxt)
+from the
+[selfie segmentation module](https://github.com/google/mediapipe/tree/master/mediapipe/modules/selfie_segmentation).
+
+Note: To visualize a graph, copy the graph and paste it into
+[MediaPipe Visualizer](https://viz.mediapipe.dev/). For more information on how
+to visualize its associated subgraphs, please see
+[visualizer documentation](../tools/visualizer.md).
+
+## Solution APIs
+
+### Cross-platform Configuration Options
+
+Naming style and availability may differ slightly across platforms/languages.
+
+#### model_selection
+
+An integer index `0` or `1`. Use `0` to select the general model, and `1` to
+select the landscape model (see details in [Models](#models)). Default to `0` if
+not specified.
+
+### Output
+
+Naming style may differ slightly across platforms/languages.
+
+#### segmentation_mask
+
+The output segmentation mask, which has the same dimension as the input image.
+
+### Python Solution API
+
+Please first follow general [instructions](../getting_started/python.md) to
+install MediaPipe Python package, then learn more in the companion
+[Python Colab](#resources) and the usage example below.
+
+Supported configuration options:
+
+*   [model_selection](#model_selection)
+
+```python
+import cv2
+import mediapipe as mp
+import numpy as np
+mp_drawing = mp.solutions.drawing_utils
+mp_selfie_segmentation = mp.solutions.selfie_segmentation
+
+# For static images:
+IMAGE_FILES = []
+BG_COLOR = (192, 192, 192) # gray
+MASK_COLOR = (255, 255, 255) # white
+with mp_selfie_segmentation.SelfieSegmentation(
+    model_selection=0) as selfie_segmentation:
+  for idx, file in enumerate(IMAGE_FILES):
+    image = cv2.imread(file)
+    image_height, image_width, _ = image.shape
+    # Convert the BGR image to RGB before processing.
+    results = selfie_segmentation.process(cv2.cvtColor(image, cv2.COLOR_BGR2RGB))
+
+    # Draw selfie segmentation on the background image.
+    # To improve segmentation around boundaries, consider applying a joint
+    # bilateral filter to "results.segmentation_mask" with "image".
+    condition = np.stack((results.segmentation_mask,) * 3, axis=-1) > 0.1
+    # Generate solid color images for showing the output selfie segmentation mask.
+    fg_image = np.zeros(image.shape, dtype=np.uint8)
+    fg_image[:] = MASK_COLOR
+    bg_image = np.zeros(image.shape, dtype=np.uint8)
+    bg_image[:] = BG_COLOR
+    output_image = np.where(condition, fg_image, bg_image)
+    cv2.imwrite('/tmp/selfie_segmentation_output' + str(idx) + '.png', output_image)
+
+# For webcam input:
+BG_COLOR = (192, 192, 192) # gray
+cap = cv2.VideoCapture(0)
+with mp_selfie_segmentation.SelfieSegmentation(
+    model_selection=1) as selfie_segmentation:
+  bg_image = None
+  while cap.isOpened():
+    success, image = cap.read()
+    if not success:
+      print("Ignoring empty camera frame.")
+      # If loading a video, use 'break' instead of 'continue'.
+      continue
+
+    # Flip the image horizontally for a later selfie-view display, and convert
+    # the BGR image to RGB.
+    image = cv2.cvtColor(cv2.flip(image, 1), cv2.COLOR_BGR2RGB)
+    # To improve performance, optionally mark the image as not writeable to
+    # pass by reference.
+    image.flags.writeable = False
+    results = selfie_segmentation.process(image)
+
+    image.flags.writeable = True
+    image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
+
+    # Draw selfie segmentation on the background image.
+    # To improve segmentation around boundaries, consider applying a joint
+    # bilateral filter to "results.segmentation_mask" with "image".
+    condition = np.stack(
+      (results.segmentation_mask,) * 3, axis=-1) > 0.1
+    # The background can be customized.
+    #   a) Load an image (with the same width and height of the input image) to
+    #      be the background, e.g., bg_image = cv2.imread('/path/to/image/file')
+    #   b) Blur the input image by applying image filtering, e.g.,
+    #      bg_image = cv2.GaussianBlur(image,(55,55),0)
+    if bg_image is None:
+      bg_image = np.zeros(image.shape, dtype=np.uint8)
+      bg_image[:] = BG_COLOR
+    output_image = np.where(condition, image, bg_image)
+
+    cv2.imshow('MediaPipe Selfie Segmentation', output_image)
+    if cv2.waitKey(5) & 0xFF == 27:
+      break
+cap.release()
+```
+
+### JavaScript Solution API
+
+Please first see general [introduction](../getting_started/javascript.md) on
+MediaPipe in JavaScript, then learn more in the companion [web demo](#resources)
+and the following usage example.
+
+Supported configuration options:
+
+*   [modelSelection](#model_selection)
+
+```html
+<!DOCTYPE html>
+<html>
+<head>
+  <meta charset="utf-8">
+  <script src="https://cdn.jsdelivr.net/npm/@mediapipe/camera_utils/camera_utils.js" crossorigin="anonymous"></script>
+  <script src="https://cdn.jsdelivr.net/npm/@mediapipe/control_utils/control_utils.js" crossorigin="anonymous"></script>
+  <script src="https://cdn.jsdelivr.net/npm/@mediapipe/drawing_utils/drawing_utils.js" crossorigin="anonymous"></script>
+  <script src="https://cdn.jsdelivr.net/npm/@mediapipe/selfie_segmentation/selfie_segmentation.js" crossorigin="anonymous"></script>
+</head>
+
+<body>
+  <div class="container">
+    <video class="input_video"></video>
+    <canvas class="output_canvas" width="1280px" height="720px"></canvas>
+  </div>
+</body>
+</html>
+```
+
+```javascript
+<script type="module">
+const videoElement = document.getElementsByClassName('input_video')[0];
+const canvasElement = document.getElementsByClassName('output_canvas')[0];
+const canvasCtx = canvasElement.getContext('2d');
+
+function onResults(results) {
+  canvasCtx.save();
+  canvasCtx.clearRect(0, 0, canvasElement.width, canvasElement.height);
+  canvasCtx.drawImage(results.segmentationMask, 0, 0,
+                      canvasElement.width, canvasElement.height);
+
+  // Only overwrite existing pixels.
+  canvasCtx.globalCompositeOperation = 'source-in';
+  canvasCtx.fillStyle = '#00FF00';
+  canvasCtx.fillRect(0, 0, canvasElement.width, canvasElement.height);
+
+  // Only overwrite missing pixels.
+  canvasCtx.globalCompositeOperation = 'destination-atop';
+  canvasCtx.drawImage(
+      results.image, 0, 0, canvasElement.width, canvasElement.height);
+
+  canvasCtx.restore();
+}
+
+const selfieSegmentation = new SelfieSegmentation({locateFile: (file) => {
+  return `https://cdn.jsdelivr.net/npm/@mediapipe/selfie_segmentation/${file}`;
+}});
+selfieSegmentation.setOptions({
+  modelSelection: 1,
+});
+selfieSegmentation.onResults(onResults);
+
+const camera = new Camera(videoElement, {
+  onFrame: async () => {
+    await selfieSegmentation.send({image: videoElement});
+  },
+  width: 1280,
+  height: 720
+});
+camera.start();
+</script>
+```
+
+## Example Apps
+
+Please first see general instructions for
+[Android](../getting_started/android.md), [iOS](../getting_started/ios.md), and
+[desktop](../getting_started/cpp.md) on how to build MediaPipe examples.
+
+Note: To visualize a graph, copy the graph and paste it into
+[MediaPipe Visualizer](https://viz.mediapipe.dev/). For more information on how
+to visualize its associated subgraphs, please see
+[visualizer documentation](../tools/visualizer.md).
+
+### Mobile
+
+*   Graph:
+    [`mediapipe/graphs/selfie_segmentation/selfie_segmentation_gpu.pbtxt`](https://github.com/google/mediapipe/tree/master/mediapipe/graphs/selfie_segmentation/selfie_segmentation_gpu.pbtxt)
+*   Android target:
+    [(or download prebuilt ARM64 APK)](https://drive.google.com/file/d/1DoeyGzMmWUsjfVgZfGGecrn7GKzYcEAo/view?usp=sharing)
+    [`mediapipe/examples/android/src/java/com/google/mediapipe/apps/selfiesegmentationgpu:selfiesegmentationgpu`](https://github.com/google/mediapipe/tree/master/mediapipe/examples/android/src/java/com/google/mediapipe/apps/selfiesegmentationgpu/BUILD)
+*   iOS target:
+    [`mediapipe/examples/ios/selfiesegmentationgpu:SelfieSegmentationGpuApp`](https://github.com/google/mediapipe/tree/master/mediapipe/examples/ios/selfiesegmentationgpu/BUILD)
+
+### Desktop
+
+Please first see general instructions for [desktop](../getting_started/cpp.md)
+on how to build MediaPipe examples.
+
+*   Running on CPU
+    *   Graph:
+        [`mediapipe/graphs/selfie_segmentation/selfie_segmentation_cpu.pbtxt`](https://github.com/google/mediapipe/tree/master/mediapipe/graphs/selfie_segmentation/selfie_segmentation_cpu.pbtxt)
+    *   Target:
+        [`mediapipe/examples/desktop/selfie_segmentation:selfie_segmentation_cpu`](https://github.com/google/mediapipe/tree/master/mediapipe/examples/desktop/selfie_segmentation/BUILD)
+*   Running on GPU
+    *   Graph:
+        [`mediapipe/graphs/selfie_segmentation/selfie_segmentation_gpu.pbtxt`](https://github.com/google/mediapipe/tree/master/mediapipe/graphs/selfie_segmentation/selfie_segmentation_gpu.pbtxt)
+    *   Target:
+        [`mediapipe/examples/desktop/selfie_segmentation:selfie_segmentation_gpu`](https://github.com/google/mediapipe/tree/master/mediapipe/examples/desktop/selfie_segmentation/BUILD)
+
+## Resources
+
+*   Google AI Blog:
+    [Background Features in Google Meet, Powered by Web ML](https://ai.googleblog.com/2020/10/background-features-in-google-meet.html)
+*   [ML Kit Selfie Segmentation API](https://developers.google.com/ml-kit/vision/selfie-segmentation)
+*   [Models and model cards](./models.md#selfie-segmentation)
+*   [Web demo](https://code.mediapipe.dev/codepen/selfie_segmentation)
+*   [Python Colab](https://mediapipe.page.link/selfie_segmentation_py_colab)

docs/solutions/solutions.md

@@ -13,6 +13,9 @@ has_toc: false
 {:toc}
 ---
 
+MediaPipe offers open source cross-platform, customizable ML solutions for live
+and streaming media.
+
 <!-- []() in the first cell is needed to preserve table formatting in GitHub Pages. -->
 <!-- Whenever this table is updated, paste a copy to ../external_index.md. -->
 
@@ -24,11 +27,12 @@ has_toc: false
 [Hands](https://google.github.io/mediapipe/solutions/hands)                                     | ✅                                                               | ✅                                                       | ✅                                                       | ✅                                                             | ✅                                                             |
 [Pose](https://google.github.io/mediapipe/solutions/pose)                                       | ✅                                                               | ✅                                                       | ✅                                                       | ✅                                                             | ✅                                                             |
 [Holistic](https://google.github.io/mediapipe/solutions/holistic)                               | ✅                                                               | ✅                                                       | ✅                                                       | ✅                                                             | ✅                                                             |
+[Selfie Segmentation](https://google.github.io/mediapipe/solutions/selfie_segmentation)         | ✅                                                               | ✅                                                       | ✅                                                       | ✅                                                             | ✅                                                             |
 [Hair Segmentation](https://google.github.io/mediapipe/solutions/hair_segmentation)             | ✅                                                               |                                                         | ✅                                                       |                                                               |                                                               |
 [Object Detection](https://google.github.io/mediapipe/solutions/object_detection)               | ✅                                                               | ✅                                                       | ✅                                                       |                                                               |                                                               | ✅
 [Box Tracking](https://google.github.io/mediapipe/solutions/box_tracking)                       | ✅                                                               | ✅                                                       | ✅                                                       |                                                               |                                                               |
 [Instant Motion Tracking](https://google.github.io/mediapipe/solutions/instant_motion_tracking) | ✅                                                               |                                                         |                                                         |                                                               |                                                               |
-[Objectron](https://google.github.io/mediapipe/solutions/objectron)                             | ✅                                                               |                                                         | ✅                                                        | ✅                                                             |                                                               |
+[Objectron](https://google.github.io/mediapipe/solutions/objectron)                             | ✅                                                               |                                                         | ✅                                                       | ✅                                                             | ✅                                                             |
 [KNIFT](https://google.github.io/mediapipe/solutions/knift)                                     | ✅                                                               |                                                         |                                                         |                                                               |                                                               |
 [AutoFlip](https://google.github.io/mediapipe/solutions/autoflip)                               |                                                                 |                                                         | ✅                                                       |                                                               |                                                               |
 [MediaSequence](https://google.github.io/mediapipe/solutions/media_sequence)                    |                                                                 |                                                         | ✅                                                       |                                                               |                                                               |

docs/solutions/youtube_8m.md

@@ -2,7 +2,7 @@
 layout: default
 title: YouTube-8M Feature Extraction and Model Inference
 parent: Solutions
-nav_order: 15
+nav_order: 16
 ---
 
 # YouTube-8M Feature Extraction and Model Inference

mediapipe/MediaPipe.tulsiproj/Configs/MediaPipe.tulsigen

@@ -16,7 +16,7 @@
     "mediapipe/examples/ios/objectdetectiongpu/BUILD",
     "mediapipe/examples/ios/objectdetectiontrackinggpu/BUILD",
     "mediapipe/examples/ios/posetrackinggpu/BUILD",
-    "mediapipe/examples/ios/upperbodyposetrackinggpu/BUILD",
+    "mediapipe/examples/ios/selfiesegmentationgpu/BUILD",
     "mediapipe/framework/BUILD",
     "mediapipe/gpu/BUILD",
     "mediapipe/objc/BUILD",
@@ -36,7 +36,7 @@
     "//mediapipe/examples/ios/objectdetectiongpu:ObjectDetectionGpuApp",
     "//mediapipe/examples/ios/objectdetectiontrackinggpu:ObjectDetectionTrackingGpuApp",
     "//mediapipe/examples/ios/posetrackinggpu:PoseTrackingGpuApp",
-    "//mediapipe/examples/ios/upperbodyposetrackinggpu:UpperBodyPoseTrackingGpuApp",
+    "//mediapipe/examples/ios/selfiesegmentationgpu:SelfieSegmentationGpuApp",
     "//mediapipe/objc:mediapipe_framework_ios"
   ],
   "optionSet" : {
@@ -105,7 +105,7 @@
     "mediapipe/examples/ios/objectdetectioncpu",
     "mediapipe/examples/ios/objectdetectiongpu",
     "mediapipe/examples/ios/posetrackinggpu",
-    "mediapipe/examples/ios/upperbodyposetrackinggpu",
+    "mediapipe/examples/ios/selfiesegmentationgpu",
     "mediapipe/framework",
     "mediapipe/framework/deps",
     "mediapipe/framework/formats",
@@ -123,6 +123,7 @@
     "mediapipe/graphs/hand_tracking",
     "mediapipe/graphs/object_detection",
     "mediapipe/graphs/pose_tracking",
+    "mediapipe/graphs/selfie_segmentation",
     "mediapipe/models",
     "mediapipe/modules",
     "mediapipe/objc",

mediapipe/MediaPipe.tulsiproj/project.tulsiconf

@@ -22,7 +22,7 @@
     "mediapipe/examples/ios/objectdetectiongpu",
     "mediapipe/examples/ios/objectdetectiontrackinggpu",
     "mediapipe/examples/ios/posetrackinggpu",
-    "mediapipe/examples/ios/upperbodyposetrackinggpu",
+    "mediapipe/examples/ios/selfiesegmentationgpu",
     "mediapipe/objc"
   ],
   "projectName" : "Mediapipe",

mediapipe/calculators/audio/audio_decoder_calculator_test.cc

@@ -25,7 +25,7 @@ namespace mediapipe {
 
 TEST(AudioDecoderCalculatorTest, TestWAV) {
   CalculatorGraphConfig::Node node_config =
-      ParseTextProtoOrDie<CalculatorGraphConfig::Node>(R"(
+      ParseTextProtoOrDie<CalculatorGraphConfig::Node>(R"pb(
         calculator: "AudioDecoderCalculator"
         input_side_packet: "INPUT_FILE_PATH:input_file_path"
         output_stream: "AUDIO:audio"
@@ -34,7 +34,7 @@ TEST(AudioDecoderCalculatorTest, TestWAV) {
           [type.googleapis.com/mediapipe.AudioDecoderOptions]: {
             audio_stream { stream_index: 0 }
           }
-        })");
+        })pb");
   CalculatorRunner runner(node_config);
   runner.MutableSidePackets()->Tag("INPUT_FILE_PATH") = MakePacket<std::string>(
       file::JoinPath("./",
@@ -56,7 +56,7 @@ TEST(AudioDecoderCalculatorTest, TestWAV) {
 
 TEST(AudioDecoderCalculatorTest, Test48KWAV) {
   CalculatorGraphConfig::Node node_config =
-      ParseTextProtoOrDie<CalculatorGraphConfig::Node>(R"(
+      ParseTextProtoOrDie<CalculatorGraphConfig::Node>(R"pb(
         calculator: "AudioDecoderCalculator"
         input_side_packet: "INPUT_FILE_PATH:input_file_path"
         output_stream: "AUDIO:audio"
@@ -65,7 +65,7 @@ TEST(AudioDecoderCalculatorTest, Test48KWAV) {
           [type.googleapis.com/mediapipe.AudioDecoderOptions]: {
             audio_stream { stream_index: 0 }
           }
-        })");
+        })pb");
   CalculatorRunner runner(node_config);
   runner.MutableSidePackets()->Tag("INPUT_FILE_PATH") = MakePacket<std::string>(
       file::JoinPath("./",
@@ -87,7 +87,7 @@ TEST(AudioDecoderCalculatorTest, Test48KWAV) {
 
 TEST(AudioDecoderCalculatorTest, TestMP3) {
   CalculatorGraphConfig::Node node_config =
-      ParseTextProtoOrDie<CalculatorGraphConfig::Node>(R"(
+      ParseTextProtoOrDie<CalculatorGraphConfig::Node>(R"pb(
         calculator: "AudioDecoderCalculator"
         input_side_packet: "INPUT_FILE_PATH:input_file_path"
         output_stream: "AUDIO:audio"
@@ -96,7 +96,7 @@ TEST(AudioDecoderCalculatorTest, TestMP3) {
           [type.googleapis.com/mediapipe.AudioDecoderOptions]: {
             audio_stream { stream_index: 0 }
           }
-        })");
+        })pb");
   CalculatorRunner runner(node_config);
   runner.MutableSidePackets()->Tag("INPUT_FILE_PATH") = MakePacket<std::string>(
       file::JoinPath("./",
@@ -118,7 +118,7 @@ TEST(AudioDecoderCalculatorTest, TestMP3) {
 
 TEST(AudioDecoderCalculatorTest, TestAAC) {
   CalculatorGraphConfig::Node node_config =
-      ParseTextProtoOrDie<CalculatorGraphConfig::Node>(R"(
+      ParseTextProtoOrDie<CalculatorGraphConfig::Node>(R"pb(
         calculator: "AudioDecoderCalculator"
         input_side_packet: "INPUT_FILE_PATH:input_file_path"
         output_stream: "AUDIO:audio"
@@ -127,7 +127,7 @@ TEST(AudioDecoderCalculatorTest, TestAAC) {
           [type.googleapis.com/mediapipe.AudioDecoderOptions]: {
             audio_stream { stream_index: 0 }
           }
-        })");
+        })pb");
   CalculatorRunner runner(node_config);
   runner.MutableSidePackets()->Tag("INPUT_FILE_PATH") = MakePacket<std::string>(
       file::JoinPath("./",

mediapipe/calculators/core/BUILD

@@ -140,6 +140,16 @@ mediapipe_proto_library(
     ],
 )
 
+mediapipe_proto_library(
+    name = "graph_profile_calculator_proto",
+    srcs = ["graph_profile_calculator.proto"],
+    visibility = ["//visibility:public"],
+    deps = [
+        "//mediapipe/framework:calculator_options_proto",
+        "//mediapipe/framework:calculator_proto",
+    ],
+)
+
 cc_library(
     name = "add_header_calculator",
     srcs = ["add_header_calculator.cc"],
@@ -233,6 +243,22 @@ cc_test(
     ],
 )
 
+cc_library(
+    name = "concatenate_vector_calculator_hdr",
+    hdrs = ["concatenate_vector_calculator.h"],
+    visibility = ["//visibility:public"],
+    deps = [
+        ":concatenate_vector_calculator_cc_proto",
+        "//mediapipe/framework:calculator_framework",
+        "//mediapipe/framework/api2:node",
+        "//mediapipe/framework/api2:port",
+        "//mediapipe/framework/port:integral_types",
+        "//mediapipe/framework/port:ret_check",
+        "//mediapipe/framework/port:status",
+    ],
+    alwayslink = 1,
+)
+
 cc_library(
     name = "concatenate_vector_calculator",
     srcs = ["concatenate_vector_calculator.cc"],
@@ -403,6 +429,23 @@ cc_library(
     alwayslink = 1,
 )
 
+cc_test(
+    name = "make_pair_calculator_test",
+    size = "small",
+    srcs = ["make_pair_calculator_test.cc"],
+    deps = [
+        ":make_pair_calculator",
+        "//mediapipe/framework:calculator_framework",
+        "//mediapipe/framework:calculator_runner",
+        "//mediapipe/framework:timestamp",
+        "//mediapipe/framework/port:gtest_main",
+        "//mediapipe/framework/port:status",
+        "//mediapipe/framework/tool:validate_type",
+        "//mediapipe/util:packet_test_util",
+        "//mediapipe/util:time_series_test_util",
+    ],
+)
+
 cc_library(
     name = "matrix_multiply_calculator",
     srcs = ["matrix_multiply_calculator.cc"],
@@ -451,8 +494,8 @@ cc_library(
 )
 
 cc_library(
-    name = "nonzero_calculator",
-    srcs = ["nonzero_calculator.cc"],
+    name = "non_zero_calculator",
+    srcs = ["non_zero_calculator.cc"],
     visibility = [
         "//visibility:public",
     ],
@@ -464,6 +507,21 @@ cc_library(
     alwayslink = 1,
 )
 
+cc_test(
+    name = "non_zero_calculator_test",
+    size = "small",
+    srcs = ["non_zero_calculator_test.cc"],
+    deps = [
+        ":non_zero_calculator",
+        "//mediapipe/framework:calculator_framework",
+        "//mediapipe/framework:calculator_runner",
+        "//mediapipe/framework:timestamp",
+        "//mediapipe/framework/port:gtest_main",
+        "//mediapipe/framework/port:status",
+        "//mediapipe/framework/tool:validate_type",
+    ],
+)
+
 cc_test(
     name = "mux_calculator_test",
     srcs = ["mux_calculator_test.cc"],
@@ -665,6 +723,18 @@ cc_library(
     alwayslink = 1,
 )
 
+cc_library(
+    name = "default_side_packet_calculator",
+    srcs = ["default_side_packet_calculator.cc"],
+    visibility = ["//visibility:public"],
+    deps = [
+        "//mediapipe/framework:calculator_framework",
+        "//mediapipe/framework/port:ret_check",
+        "//mediapipe/framework/port:status",
+    ],
+    alwayslink = 1,
+)
+
 cc_library(
     name = "side_packet_to_stream_calculator",
     srcs = ["side_packet_to_stream_calculator.cc"],
@@ -890,8 +960,8 @@ cc_test(
 )
 
 cc_library(
-    name = "split_normalized_landmark_list_calculator",
-    srcs = ["split_normalized_landmark_list_calculator.cc"],
+    name = "split_landmarks_calculator",
+    srcs = ["split_landmarks_calculator.cc"],
     visibility = ["//visibility:public"],
     deps = [
         ":split_vector_calculator_cc_proto",
@@ -905,10 +975,10 @@ cc_library(
 )
 
 cc_test(
-    name = "split_normalized_landmark_list_calculator_test",
-    srcs = ["split_normalized_landmark_list_calculator_test.cc"],
+    name = "split_landmarks_calculator_test",
+    srcs = ["split_landmarks_calculator_test.cc"],
     deps = [
-        ":split_normalized_landmark_list_calculator",
+        ":split_landmarks_calculator",
         ":split_vector_calculator_cc_proto",
         "//mediapipe/framework:calculator_framework",
         "//mediapipe/framework:calculator_runner",
@@ -1140,3 +1210,45 @@ cc_test(
         "@com_google_absl//absl/strings",
     ],
 )
+
+cc_library(
+    name = "graph_profile_calculator",
+    srcs = ["graph_profile_calculator.cc"],
+    visibility = ["//visibility:public"],
+    deps = [
+        ":graph_profile_calculator_cc_proto",
+        "//mediapipe/framework:calculator_framework",
+        "//mediapipe/framework:calculator_profile_cc_proto",
+        "//mediapipe/framework/api2:node",
+        "//mediapipe/framework/api2:packet",
+        "//mediapipe/framework/api2:port",
+        "//mediapipe/framework/port:ret_check",
+        "//mediapipe/framework/port:status",
+    ],
+    alwayslink = 1,
+)
+
+cc_test(
+    name = "graph_profile_calculator_test",
+    srcs = ["graph_profile_calculator_test.cc"],
+    deps = [
+        ":graph_profile_calculator",
+        "//mediapipe/framework:calculator_cc_proto",
+        "//mediapipe/framework:calculator_framework",
+        "//mediapipe/framework:calculator_profile_cc_proto",
+        "//mediapipe/framework:test_calculators",
+        "//mediapipe/framework/deps:clock",
+        "//mediapipe/framework/deps:message_matchers",
+        "//mediapipe/framework/port:core_proto",
+        "//mediapipe/framework/port:gtest_main",
+        "//mediapipe/framework/port:integral_types",
+        "//mediapipe/framework/port:logging",
+        "//mediapipe/framework/port:parse_text_proto",
+        "//mediapipe/framework/port:threadpool",
+        "//mediapipe/framework/tool:simulation_clock_executor",
+        "//mediapipe/framework/tool:sink",
+        "@com_google_absl//absl/status",
+        "@com_google_absl//absl/strings",
+        "@com_google_absl//absl/time",
+    ],
+)

mediapipe/calculators/core/add_header_calculator_test.cc

@@ -24,6 +24,9 @@
 
 namespace mediapipe {
 
+constexpr char kDataTag[] = "DATA";
+constexpr char kHeaderTag[] = "HEADER";
+
 class AddHeaderCalculatorTest : public ::testing::Test {};
 
 TEST_F(AddHeaderCalculatorTest, HeaderStream) {
@@ -36,11 +39,11 @@ TEST_F(AddHeaderCalculatorTest, HeaderStream) {
   CalculatorRunner runner(node);
 
   // Set header and add 5 packets.
-  runner.MutableInputs()->Tag("HEADER").header =
+  runner.MutableInputs()->Tag(kHeaderTag).header =
       Adopt(new std::string("my_header"));
   for (int i = 0; i < 5; ++i) {
     Packet packet = Adopt(new int(i)).At(Timestamp(i * 1000));
-    runner.MutableInputs()->Tag("DATA").packets.push_back(packet);
+    runner.MutableInputs()->Tag(kDataTag).packets.push_back(packet);
   }
 
   // Run calculator.
@@ -85,13 +88,14 @@ TEST_F(AddHeaderCalculatorTest, NoPacketsOnHeaderStream) {
   CalculatorRunner runner(node);
 
   // Set header and add 5 packets.
-  runner.MutableInputs()->Tag("HEADER").header =
+  runner.MutableInputs()->Tag(kHeaderTag).header =
       Adopt(new std::string("my_header"));
-  runner.MutableInputs()->Tag("HEADER").packets.push_back(
-      Adopt(new std::string("not allowed")));
+  runner.MutableInputs()
+      ->Tag(kHeaderTag)
+      .packets.push_back(Adopt(new std::string("not allowed")));
   for (int i = 0; i < 5; ++i) {
     Packet packet = Adopt(new int(i)).At(Timestamp(i * 1000));
-    runner.MutableInputs()->Tag("DATA").packets.push_back(packet);
+    runner.MutableInputs()->Tag(kDataTag).packets.push_back(packet);
   }
 
   // Run calculator.
@@ -108,11 +112,11 @@ TEST_F(AddHeaderCalculatorTest, InputSidePacket) {
   CalculatorRunner runner(node);
 
   // Set header and add 5 packets.
-  runner.MutableSidePackets()->Tag("HEADER") =
+  runner.MutableSidePackets()->Tag(kHeaderTag) =
       Adopt(new std::string("my_header"));
   for (int i = 0; i < 5; ++i) {
     Packet packet = Adopt(new int(i)).At(Timestamp(i * 1000));
-    runner.MutableInputs()->Tag("DATA").packets.push_back(packet);
+    runner.MutableInputs()->Tag(kDataTag).packets.push_back(packet);
   }
 
   // Run calculator.
@@ -143,13 +147,13 @@ TEST_F(AddHeaderCalculatorTest, UsingBothSideInputAndStream) {
   CalculatorRunner runner(node);
 
   // Set both headers and add 5 packets.
-  runner.MutableSidePackets()->Tag("HEADER") =
+  runner.MutableSidePackets()->Tag(kHeaderTag) =
       Adopt(new std::string("my_header"));
-  runner.MutableSidePackets()->Tag("HEADER") =
+  runner.MutableSidePackets()->Tag(kHeaderTag) =
       Adopt(new std::string("my_header"));
   for (int i = 0; i < 5; ++i) {
     Packet packet = Adopt(new int(i)).At(Timestamp(i * 1000));
-    runner.MutableInputs()->Tag("DATA").packets.push_back(packet);
+    runner.MutableInputs()->Tag(kDataTag).packets.push_back(packet);
   }
 
   // Run should fail because header can only be provided one way.

mediapipe/calculators/core/begin_end_loop_calculator_graph_test.cc

@@ -70,7 +70,7 @@ class BeginEndLoopCalculatorGraphTest : public ::testing::Test {
  protected:
   void SetUp() override {
     auto graph_config = ParseTextProtoOrDie<CalculatorGraphConfig>(
-        R"(
+        R"pb(
           num_threads: 4
           input_stream: "ints"
           node {
@@ -90,7 +90,7 @@ class BeginEndLoopCalculatorGraphTest : public ::testing::Test {
             input_stream: "BATCH_END:timestamp"
             output_stream: "ITERABLE:ints_plus_one"
           }
-        )");
+        )pb");
     tool::AddVectorSink("ints_plus_one", &graph_config, &output_packets_);
     MP_ASSERT_OK(graph_.Initialize(graph_config));
     MP_ASSERT_OK(graph_.StartRun({}));
@@ -197,7 +197,7 @@ class BeginEndLoopCalculatorGraphProcessingEmptyPacketsTest
  protected:
   void SetUp() override {
     auto graph_config = ParseTextProtoOrDie<CalculatorGraphConfig>(
-        R"(
+        R"pb(
           num_threads: 4
           input_stream: "ints"
           input_stream: "force_ints_to_be_timestamp_bound_update"
@@ -229,7 +229,7 @@ class BeginEndLoopCalculatorGraphProcessingEmptyPacketsTest
             input_stream: "ints_plus_one"
             output_stream: "ints_plus_one_passed_through"
           }
-        )");
+        )pb");
     tool::AddVectorSink("ints_plus_one_passed_through", &graph_config,
                         &output_packets_);
     MP_ASSERT_OK(graph_.Initialize(graph_config));
@@ -338,7 +338,7 @@ class BeginEndLoopCalculatorGraphWithClonedInputsTest : public ::testing::Test {
  protected:
   void SetUp() override {
     auto graph_config = ParseTextProtoOrDie<CalculatorGraphConfig>(
-        R"(
+        R"pb(
           num_threads: 4
           input_stream: "ints"
           input_stream: "multiplier"
@@ -362,7 +362,7 @@ class BeginEndLoopCalculatorGraphWithClonedInputsTest : public ::testing::Test {
             input_stream: "BATCH_END:timestamp"
             output_stream: "ITERABLE:multiplied_ints"
           }
-        )");
+        )pb");
     tool::AddVectorSink("multiplied_ints", &graph_config, &output_packets_);
     MP_ASSERT_OK(graph_.Initialize(graph_config));
     MP_ASSERT_OK(graph_.StartRun({}));

mediapipe/calculators/core/begin_loop_calculator.cc

@@ -42,4 +42,9 @@ REGISTER_CALCULATOR(BeginLoopDetectionCalculator);
 typedef BeginLoopCalculator<std::vector<Matrix>> BeginLoopMatrixCalculator;
 REGISTER_CALCULATOR(BeginLoopMatrixCalculator);
 
+// A calculator to process std::vector<std::vector<Matrix>>.
+typedef BeginLoopCalculator<std::vector<std::vector<Matrix>>>
+    BeginLoopMatrixVectorCalculator;
+REGISTER_CALCULATOR(BeginLoopMatrixVectorCalculator);
+
 }  // namespace mediapipe

mediapipe/calculators/core/clip_vector_size_calculator_test.cc

@@ -38,14 +38,14 @@ void AddInputVector(const std::vector<int>& input, int64 timestamp,
 
 TEST(TestClipIntVectorSizeCalculatorTest, EmptyVectorInput) {
   CalculatorGraphConfig::Node node_config =
-      ParseTextProtoOrDie<CalculatorGraphConfig::Node>(R"(
+      ParseTextProtoOrDie<CalculatorGraphConfig::Node>(R"pb(
         calculator: "TestClipIntVectorSizeCalculator"
         input_stream: "input_vector"
         output_stream: "output_vector"
         options {
           [mediapipe.ClipVectorSizeCalculatorOptions.ext] { max_vec_size: 1 }
         }
-      )");
+      )pb");
   CalculatorRunner runner(node_config);
 
   std::vector<int> input = {};
@@ -60,14 +60,14 @@ TEST(TestClipIntVectorSizeCalculatorTest, EmptyVectorInput) {
 
 TEST(TestClipIntVectorSizeCalculatorTest, OneTimestamp) {
   CalculatorGraphConfig::Node node_config =
-      ParseTextProtoOrDie<CalculatorGraphConfig::Node>(R"(
+      ParseTextProtoOrDie<CalculatorGraphConfig::Node>(R"pb(
         calculator: "TestClipIntVectorSizeCalculator"
         input_stream: "input_vector"
         output_stream: "output_vector"
         options {
           [mediapipe.ClipVectorSizeCalculatorOptions.ext] { max_vec_size: 2 }
         }
-      )");
+      )pb");
   CalculatorRunner runner(node_config);
 
   std::vector<int> input = {0, 1, 2, 3};
@@ -85,14 +85,14 @@ TEST(TestClipIntVectorSizeCalculatorTest, OneTimestamp) {
 
 TEST(TestClipIntVectorSizeCalculatorTest, TwoInputsAtTwoTimestamps) {
   CalculatorGraphConfig::Node node_config =
-      ParseTextProtoOrDie<CalculatorGraphConfig::Node>(R"(
+      ParseTextProtoOrDie<CalculatorGraphConfig::Node>(R"pb(
         calculator: "TestClipIntVectorSizeCalculator"
         input_stream: "input_vector"
         output_stream: "output_vector"
         options {
           [mediapipe.ClipVectorSizeCalculatorOptions.ext] { max_vec_size: 3 }
         }
-      )");
+      )pb");
   CalculatorRunner runner(node_config);
 
   {
@@ -133,7 +133,7 @@ TEST(TestClipUniqueIntPtrVectorSizeCalculatorTest, ConsumeOneTimestamp) {
    * The test needs to send packets that own the data.
    */
   CalculatorGraphConfig graph_config =
-      ParseTextProtoOrDie<CalculatorGraphConfig>(R"(
+      ParseTextProtoOrDie<CalculatorGraphConfig>(R"pb(
         input_stream: "input_vector"
         node {
           calculator: "TestClipUniqueIntPtrVectorSizeCalculator"
@@ -143,7 +143,7 @@ TEST(TestClipUniqueIntPtrVectorSizeCalculatorTest, ConsumeOneTimestamp) {
             [mediapipe.ClipVectorSizeCalculatorOptions.ext] { max_vec_size: 3 }
           }
         }
-      )");
+      )pb");
 
   std::vector<Packet> outputs;
   tool::AddVectorSink("output_vector", &graph_config, &outputs);
@@ -178,7 +178,7 @@ TEST(TestClipUniqueIntPtrVectorSizeCalculatorTest, ConsumeOneTimestamp) {
 
 TEST(TestClipIntVectorSizeCalculatorTest, SidePacket) {
   CalculatorGraphConfig::Node node_config =
-      ParseTextProtoOrDie<CalculatorGraphConfig::Node>(R"(
+      ParseTextProtoOrDie<CalculatorGraphConfig::Node>(R"pb(
         calculator: "TestClipIntVectorSizeCalculator"
         input_stream: "input_vector"
         input_side_packet: "max_vec_size"
@@ -186,7 +186,7 @@ TEST(TestClipIntVectorSizeCalculatorTest, SidePacket) {
         options {
           [mediapipe.ClipVectorSizeCalculatorOptions.ext] { max_vec_size: 1 }
         }
-      )");
+      )pb");
   CalculatorRunner runner(node_config);
   // This should override the default of 1 set in the options.
   runner.MutableSidePackets()->Index(0) = Adopt(new int(2));

mediapipe/calculators/core/concatenate_vector_calculator_test.cc

@@ -392,7 +392,7 @@ TEST(TestConcatenateUniqueIntVectorCalculatorTest, ConsumeOneTimestamp) {
    * The test needs to send packets that own the data.
    */
   CalculatorGraphConfig graph_config =
-      ParseTextProtoOrDie<CalculatorGraphConfig>(R"(
+      ParseTextProtoOrDie<CalculatorGraphConfig>(R"pb(
         input_stream: "in_1"
         input_stream: "in_2"
         input_stream: "in_3"
@@ -403,7 +403,7 @@ TEST(TestConcatenateUniqueIntVectorCalculatorTest, ConsumeOneTimestamp) {
           input_stream: "in_3"
           output_stream: "out"
         }
-      )");
+      )pb");
 
   std::vector<Packet> outputs;
   tool::AddVectorSink("out", &graph_config, &outputs);
@@ -456,7 +456,7 @@ TEST(TestConcatenateUniqueIntVectorCalculatorTest, OneEmptyStreamStillOutput) {
    * The test needs to send packets that own the data.
    */
   CalculatorGraphConfig graph_config =
-      ParseTextProtoOrDie<CalculatorGraphConfig>(R"(
+      ParseTextProtoOrDie<CalculatorGraphConfig>(R"pb(
         input_stream: "in_1"
         input_stream: "in_2"
         node {
@@ -465,7 +465,7 @@ TEST(TestConcatenateUniqueIntVectorCalculatorTest, OneEmptyStreamStillOutput) {
           input_stream: "in_2"
           output_stream: "out"
         }
-      )");
+      )pb");
 
   std::vector<Packet> outputs;
   tool::AddVectorSink("out", &graph_config, &outputs);
@@ -505,7 +505,7 @@ TEST(TestConcatenateUniqueIntVectorCalculatorTest, OneEmptyStreamNoOutput) {
    * The test needs to send packets that own the data.
    */
   CalculatorGraphConfig graph_config =
-      ParseTextProtoOrDie<CalculatorGraphConfig>(R"(
+      ParseTextProtoOrDie<CalculatorGraphConfig>(R"pb(
         input_stream: "in_1"
         input_stream: "in_2"
         node {
@@ -519,7 +519,7 @@ TEST(TestConcatenateUniqueIntVectorCalculatorTest, OneEmptyStreamNoOutput) {
             }
           }
         }
-      )");
+      )pb");
 
   std::vector<Packet> outputs;
   tool::AddVectorSink("out", &graph_config, &outputs);

mediapipe/calculators/core/constant_side_packet_calculator_test.cc

@@ -62,7 +62,7 @@ TEST(ConstantSidePacketCalculatorTest, EveryPossibleType) {
 
 TEST(ConstantSidePacketCalculatorTest, MultiplePackets) {
   CalculatorGraphConfig graph_config =
-      mediapipe::ParseTextProtoOrDie<CalculatorGraphConfig>(R"(
+      mediapipe::ParseTextProtoOrDie<CalculatorGraphConfig>(R"pb(
         node {
           calculator: "ConstantSidePacketCalculator"
           output_side_packet: "PACKET:0:int_packet"
@@ -82,7 +82,7 @@ TEST(ConstantSidePacketCalculatorTest, MultiplePackets) {
             }
           }
         }
-      )");
+      )pb");
   CalculatorGraph graph;
   MP_ASSERT_OK(graph.Initialize(graph_config));
   MP_ASSERT_OK(graph.StartRun({}));
@@ -111,7 +111,7 @@ TEST(ConstantSidePacketCalculatorTest, MultiplePackets) {
 
 TEST(ConstantSidePacketCalculatorTest, ProcessingPacketsWithCorrectTagOnly) {
   CalculatorGraphConfig graph_config =
-      mediapipe::ParseTextProtoOrDie<CalculatorGraphConfig>(R"(
+      mediapipe::ParseTextProtoOrDie<CalculatorGraphConfig>(R"pb(
         node {
           calculator: "ConstantSidePacketCalculator"
           output_side_packet: "PACKET:0:int_packet"
@@ -131,7 +131,7 @@ TEST(ConstantSidePacketCalculatorTest, ProcessingPacketsWithCorrectTagOnly) {
             }
           }
         }
-      )");
+      )pb");
   CalculatorGraph graph;
   MP_ASSERT_OK(graph.Initialize(graph_config));
   MP_ASSERT_OK(graph.StartRun({}));
@@ -152,7 +152,7 @@ TEST(ConstantSidePacketCalculatorTest, ProcessingPacketsWithCorrectTagOnly) {
 
 TEST(ConstantSidePacketCalculatorTest, IncorrectConfig_MoreOptionsThanPackets) {
   CalculatorGraphConfig graph_config =
-      mediapipe::ParseTextProtoOrDie<CalculatorGraphConfig>(R"(
+      mediapipe::ParseTextProtoOrDie<CalculatorGraphConfig>(R"pb(
         node {
           calculator: "ConstantSidePacketCalculator"
           output_side_packet: "PACKET:int_packet"
@@ -163,14 +163,14 @@ TEST(ConstantSidePacketCalculatorTest, IncorrectConfig_MoreOptionsThanPackets) {
             }
           }
         }
-      )");
+      )pb");
   CalculatorGraph graph;
   EXPECT_FALSE(graph.Initialize(graph_config).ok());
 }
 
 TEST(ConstantSidePacketCalculatorTest, IncorrectConfig_MorePacketsThanOptions) {
   CalculatorGraphConfig graph_config =
-      mediapipe::ParseTextProtoOrDie<CalculatorGraphConfig>(R"(
+      mediapipe::ParseTextProtoOrDie<CalculatorGraphConfig>(R"pb(
         node {
           calculator: "ConstantSidePacketCalculator"
           output_side_packet: "PACKET:0:int_packet"
@@ -181,7 +181,7 @@ TEST(ConstantSidePacketCalculatorTest, IncorrectConfig_MorePacketsThanOptions) {
             }
           }
         }
-      )");
+      )pb");
   CalculatorGraph graph;
   EXPECT_FALSE(graph.Initialize(graph_config).ok());
 }

mediapipe/calculators/core/counting_source_calculator.cc

@@ -19,6 +19,13 @@
 
 namespace mediapipe {
 
+constexpr char kIncrementTag[] = "INCREMENT";
+constexpr char kInitialValueTag[] = "INITIAL_VALUE";
+constexpr char kBatchSizeTag[] = "BATCH_SIZE";
+constexpr char kErrorCountTag[] = "ERROR_COUNT";
+constexpr char kMaxCountTag[] = "MAX_COUNT";
+constexpr char kErrorOnOpenTag[] = "ERROR_ON_OPEN";
+
 // Source calculator that produces MAX_COUNT*BATCH_SIZE int packets of
 // sequential numbers from INITIAL_VALUE (default 0) with a common
 // difference of INCREMENT (default 1) between successive numbers (with
@@ -33,53 +40,53 @@ class CountingSourceCalculator : public CalculatorBase {
   static absl::Status GetContract(CalculatorContract* cc) {
     cc->Outputs().Index(0).Set<int>();
 
-    if (cc->InputSidePackets().HasTag("ERROR_ON_OPEN")) {
-      cc->InputSidePackets().Tag("ERROR_ON_OPEN").Set<bool>();
+    if (cc->InputSidePackets().HasTag(kErrorOnOpenTag)) {
+      cc->InputSidePackets().Tag(kErrorOnOpenTag).Set<bool>();
     }
 
-    RET_CHECK(cc->InputSidePackets().HasTag("MAX_COUNT") ||
-              cc->InputSidePackets().HasTag("ERROR_COUNT"));
-    if (cc->InputSidePackets().HasTag("MAX_COUNT")) {
-      cc->InputSidePackets().Tag("MAX_COUNT").Set<int>();
+    RET_CHECK(cc->InputSidePackets().HasTag(kMaxCountTag) ||
+              cc->InputSidePackets().HasTag(kErrorCountTag));
+    if (cc->InputSidePackets().HasTag(kMaxCountTag)) {
+      cc->InputSidePackets().Tag(kMaxCountTag).Set<int>();
     }
-    if (cc->InputSidePackets().HasTag("ERROR_COUNT")) {
-      cc->InputSidePackets().Tag("ERROR_COUNT").Set<int>();
+    if (cc->InputSidePackets().HasTag(kErrorCountTag)) {
+      cc->InputSidePackets().Tag(kErrorCountTag).Set<int>();
     }
 
-    if (cc->InputSidePackets().HasTag("BATCH_SIZE")) {
-      cc->InputSidePackets().Tag("BATCH_SIZE").Set<int>();
+    if (cc->InputSidePackets().HasTag(kBatchSizeTag)) {
+      cc->InputSidePackets().Tag(kBatchSizeTag).Set<int>();
     }
-    if (cc->InputSidePackets().HasTag("INITIAL_VALUE")) {
-      cc->InputSidePackets().Tag("INITIAL_VALUE").Set<int>();
+    if (cc->InputSidePackets().HasTag(kInitialValueTag)) {
+      cc->InputSidePackets().Tag(kInitialValueTag).Set<int>();
     }
-    if (cc->InputSidePackets().HasTag("INCREMENT")) {
-      cc->InputSidePackets().Tag("INCREMENT").Set<int>();
+    if (cc->InputSidePackets().HasTag(kIncrementTag)) {
+      cc->InputSidePackets().Tag(kIncrementTag).Set<int>();
     }
     return absl::OkStatus();
   }
 
   absl::Status Open(CalculatorContext* cc) override {
-    if (cc->InputSidePackets().HasTag("ERROR_ON_OPEN") &&
-        cc->InputSidePackets().Tag("ERROR_ON_OPEN").Get<bool>()) {
+    if (cc->InputSidePackets().HasTag(kErrorOnOpenTag) &&
+        cc->InputSidePackets().Tag(kErrorOnOpenTag).Get<bool>()) {
       return absl::NotFoundError("expected error");
     }
-    if (cc->InputSidePackets().HasTag("ERROR_COUNT")) {
-      error_count_ = cc->InputSidePackets().Tag("ERROR_COUNT").Get<int>();
+    if (cc->InputSidePackets().HasTag(kErrorCountTag)) {
+      error_count_ = cc->InputSidePackets().Tag(kErrorCountTag).Get<int>();
       RET_CHECK_LE(0, error_count_);
     }
-    if (cc->InputSidePackets().HasTag("MAX_COUNT")) {
-      max_count_ = cc->InputSidePackets().Tag("MAX_COUNT").Get<int>();
+    if (cc->InputSidePackets().HasTag(kMaxCountTag)) {
+      max_count_ = cc->InputSidePackets().Tag(kMaxCountTag).Get<int>();
       RET_CHECK_LE(0, max_count_);
     }
-    if (cc->InputSidePackets().HasTag("BATCH_SIZE")) {
-      batch_size_ = cc->InputSidePackets().Tag("BATCH_SIZE").Get<int>();
+    if (cc->InputSidePackets().HasTag(kBatchSizeTag)) {
+      batch_size_ = cc->InputSidePackets().Tag(kBatchSizeTag).Get<int>();
       RET_CHECK_LT(0, batch_size_);
     }
-    if (cc->InputSidePackets().HasTag("INITIAL_VALUE")) {
-      counter_ = cc->InputSidePackets().Tag("INITIAL_VALUE").Get<int>();
+    if (cc->InputSidePackets().HasTag(kInitialValueTag)) {
+      counter_ = cc->InputSidePackets().Tag(kInitialValueTag).Get<int>();
     }
-    if (cc->InputSidePackets().HasTag("INCREMENT")) {
-      increment_ = cc->InputSidePackets().Tag("INCREMENT").Get<int>();
+    if (cc->InputSidePackets().HasTag(kIncrementTag)) {
+      increment_ = cc->InputSidePackets().Tag(kIncrementTag).Get<int>();
       RET_CHECK_LT(0, increment_);
     }
     RET_CHECK(error_count_ >= 0 || max_count_ >= 0);

mediapipe/calculators/core/default_side_packet_calculator.cc

@@ -0,0 +1,104 @@
+// Copyright 2019 The MediaPipe Authors.
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//      http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+#include "mediapipe/framework/calculator_framework.h"
+#include "mediapipe/framework/port/ret_check.h"
+#include "mediapipe/framework/port/status.h"
+
+namespace mediapipe {
+
+namespace {
+
+constexpr char kOptionalValueTag[] = "OPTIONAL_VALUE";
+constexpr char kDefaultValueTag[] = "DEFAULT_VALUE";
+constexpr char kValueTag[] = "VALUE";
+
+}  // namespace
+
+// Outputs side packet default value if optional value is not provided.
+//
+// This calculator utilizes the fact that MediaPipe automatically removes
+// optional side packets of the calculator configuration (i.e. OPTIONAL_VALUE).
+// And if it happens - returns default value, otherwise - returns optional
+// value.
+//
+// Input:
+//   OPTIONAL_VALUE (optional) - AnyType (but same type as DEFAULT_VALUE)
+//     Optional side packet value that is outputted by the calculator as is if
+//     provided.
+//
+//   DEFAULT_VALUE - AnyType
+//     Default side pack value that is outputted by the calculator if
+//     OPTIONAL_VALUE is not provided.
+//
+// Output:
+//   VALUE - AnyType (but same type as DEFAULT_VALUE)
+//     Either OPTIONAL_VALUE (if provided) or DEFAULT_VALUE (otherwise).
+//
+// Usage example:
+//   node {
+//     calculator: "DefaultSidePacketCalculator"
+//     input_side_packet: "OPTIONAL_VALUE:segmentation_mask_enabled_optional"
+//     input_side_packet: "DEFAULT_VALUE:segmentation_mask_enabled_default"
+//     output_side_packet: "VALUE:segmentation_mask_enabled"
+//   }
+class DefaultSidePacketCalculator : public CalculatorBase {
+ public:
+  static absl::Status GetContract(CalculatorContract* cc);
+  absl::Status Open(CalculatorContext* cc) override;
+  absl::Status Process(CalculatorContext* cc) override;
+};
+REGISTER_CALCULATOR(DefaultSidePacketCalculator);
+
+absl::Status DefaultSidePacketCalculator::GetContract(CalculatorContract* cc) {
+  RET_CHECK(cc->InputSidePackets().HasTag(kDefaultValueTag))
+      << "Default value must be provided";
+  cc->InputSidePackets().Tag(kDefaultValueTag).SetAny();
+
+  // Optional input side packet can be unspecified. In this case MediaPipe will
+  // remove it from the calculator config.
+  if (cc->InputSidePackets().HasTag(kOptionalValueTag)) {
+    cc->InputSidePackets()
+        .Tag(kOptionalValueTag)
+        .SetSameAs(&cc->InputSidePackets().Tag(kDefaultValueTag))
+        .Optional();
+  }
+
+  RET_CHECK(cc->OutputSidePackets().HasTag(kValueTag));
+  cc->OutputSidePackets().Tag(kValueTag).SetSameAs(
+      &cc->InputSidePackets().Tag(kDefaultValueTag));
+
+  return absl::OkStatus();
+}
+
+absl::Status DefaultSidePacketCalculator::Open(CalculatorContext* cc) {
+  // If optional value is provided it is returned as the calculator output.
+  if (cc->InputSidePackets().HasTag(kOptionalValueTag)) {
+    auto& packet = cc->InputSidePackets().Tag(kOptionalValueTag);
+    cc->OutputSidePackets().Tag(kValueTag).Set(packet);
+    return absl::OkStatus();
+  }
+
+  // If no optional value
+  auto& packet = cc->InputSidePackets().Tag(kDefaultValueTag);
+  cc->OutputSidePackets().Tag(kValueTag).Set(packet);
+
+  return absl::OkStatus();
+}
+
+absl::Status DefaultSidePacketCalculator::Process(CalculatorContext* cc) {
+  return absl::OkStatus();
+}
+
+}  // namespace mediapipe

mediapipe/calculators/core/dequantize_byte_array_calculator.cc

@@ -35,11 +35,14 @@
 //   }
 namespace mediapipe {
 
+constexpr char kFloatVectorTag[] = "FLOAT_VECTOR";
+constexpr char kEncodedTag[] = "ENCODED";
+
 class DequantizeByteArrayCalculator : public CalculatorBase {
  public:
   static absl::Status GetContract(CalculatorContract* cc) {
-    cc->Inputs().Tag("ENCODED").Set<std::string>();
-    cc->Outputs().Tag("FLOAT_VECTOR").Set<std::vector<float>>();
+    cc->Inputs().Tag(kEncodedTag).Set<std::string>();
+    cc->Outputs().Tag(kFloatVectorTag).Set<std::vector<float>>();
     return absl::OkStatus();
   }
 
@@ -66,7 +69,7 @@ class DequantizeByteArrayCalculator : public CalculatorBase {
 
   absl::Status Process(CalculatorContext* cc) final {
     const std::string& encoded =
-        cc->Inputs().Tag("ENCODED").Value().Get<std::string>();
+        cc->Inputs().Tag(kEncodedTag).Value().Get<std::string>();
     std::vector<float> float_vector;
     float_vector.reserve(encoded.length());
     for (int i = 0; i < encoded.length(); ++i) {
@@ -74,7 +77,7 @@ class DequantizeByteArrayCalculator : public CalculatorBase {
           static_cast<unsigned char>(encoded.at(i)) * scalar_ + bias_);
     }
     cc->Outputs()
-        .Tag("FLOAT_VECTOR")
+        .Tag(kFloatVectorTag)
         .AddPacket(MakePacket<std::vector<float>>(float_vector)
                        .At(cc->InputTimestamp()));
     return absl::OkStatus();

mediapipe/calculators/core/dequantize_byte_array_calculator_test.cc

@@ -25,9 +25,12 @@
 
 namespace mediapipe {
 
+constexpr char kFloatVectorTag[] = "FLOAT_VECTOR";
+constexpr char kEncodedTag[] = "ENCODED";
+
 TEST(QuantizeFloatVectorCalculatorTest, WrongConfig) {
   CalculatorGraphConfig::Node node_config =
-      ParseTextProtoOrDie<CalculatorGraphConfig::Node>(R"(
+      ParseTextProtoOrDie<CalculatorGraphConfig::Node>(R"pb(
         calculator: "DequantizeByteArrayCalculator"
         input_stream: "ENCODED:encoded"
         output_stream: "FLOAT_VECTOR:float_vector"
@@ -36,11 +39,13 @@ TEST(QuantizeFloatVectorCalculatorTest, WrongConfig) {
             max_quantized_value: 2
           }
         }
-      )");
+      )pb");
   CalculatorRunner runner(node_config);
   std::string empty_string;
-  runner.MutableInputs()->Tag("ENCODED").packets.push_back(
-      MakePacket<std::string>(empty_string).At(Timestamp(0)));
+  runner.MutableInputs()
+      ->Tag(kEncodedTag)
+      .packets.push_back(
+          MakePacket<std::string>(empty_string).At(Timestamp(0)));
   auto status = runner.Run();
   EXPECT_FALSE(status.ok());
   EXPECT_THAT(
@@ -51,7 +56,7 @@ TEST(QuantizeFloatVectorCalculatorTest, WrongConfig) {
 
 TEST(QuantizeFloatVectorCalculatorTest, WrongConfig2) {
   CalculatorGraphConfig::Node node_config =
-      ParseTextProtoOrDie<CalculatorGraphConfig::Node>(R"(
+      ParseTextProtoOrDie<CalculatorGraphConfig::Node>(R"pb(
         calculator: "DequantizeByteArrayCalculator"
         input_stream: "ENCODED:encoded"
         output_stream: "FLOAT_VECTOR:float_vector"
@@ -61,11 +66,13 @@ TEST(QuantizeFloatVectorCalculatorTest, WrongConfig2) {
             min_quantized_value: 2
           }
         }
-      )");
+      )pb");
   CalculatorRunner runner(node_config);
   std::string empty_string;
-  runner.MutableInputs()->Tag("ENCODED").packets.push_back(
-      MakePacket<std::string>(empty_string).At(Timestamp(0)));
+  runner.MutableInputs()
+      ->Tag(kEncodedTag)
+      .packets.push_back(
+          MakePacket<std::string>(empty_string).At(Timestamp(0)));
   auto status = runner.Run();
   EXPECT_FALSE(status.ok());
   EXPECT_THAT(
@@ -76,7 +83,7 @@ TEST(QuantizeFloatVectorCalculatorTest, WrongConfig2) {
 
 TEST(QuantizeFloatVectorCalculatorTest, WrongConfig3) {
   CalculatorGraphConfig::Node node_config =
-      ParseTextProtoOrDie<CalculatorGraphConfig::Node>(R"(
+      ParseTextProtoOrDie<CalculatorGraphConfig::Node>(R"pb(
         calculator: "DequantizeByteArrayCalculator"
         input_stream: "ENCODED:encoded"
         output_stream: "FLOAT_VECTOR:float_vector"
@@ -86,11 +93,13 @@ TEST(QuantizeFloatVectorCalculatorTest, WrongConfig3) {
             min_quantized_value: 1
           }
         }
-      )");
+      )pb");
   CalculatorRunner runner(node_config);
   std::string empty_string;
-  runner.MutableInputs()->Tag("ENCODED").packets.push_back(
-      MakePacket<std::string>(empty_string).At(Timestamp(0)));
+  runner.MutableInputs()
+      ->Tag(kEncodedTag)
+      .packets.push_back(
+          MakePacket<std::string>(empty_string).At(Timestamp(0)));
   auto status = runner.Run();
   EXPECT_FALSE(status.ok());
   EXPECT_THAT(
@@ -101,7 +110,7 @@ TEST(QuantizeFloatVectorCalculatorTest, WrongConfig3) {
 
 TEST(DequantizeByteArrayCalculatorTest, TestDequantization) {
   CalculatorGraphConfig::Node node_config =
-      ParseTextProtoOrDie<CalculatorGraphConfig::Node>(R"(
+      ParseTextProtoOrDie<CalculatorGraphConfig::Node>(R"pb(
         calculator: "DequantizeByteArrayCalculator"
         input_stream: "ENCODED:encoded"
         output_stream: "FLOAT_VECTOR:float_vector"
@@ -111,17 +120,19 @@ TEST(DequantizeByteArrayCalculatorTest, TestDequantization) {
             min_quantized_value: -2
           }
         }
-      )");
+      )pb");
   CalculatorRunner runner(node_config);
   unsigned char input[4] = {0x7F, 0xFF, 0x00, 0x01};
-  runner.MutableInputs()->Tag("ENCODED").packets.push_back(
-      MakePacket<std::string>(
-          std::string(reinterpret_cast<char const*>(input), 4))
-          .At(Timestamp(0)));
+  runner.MutableInputs()
+      ->Tag(kEncodedTag)
+      .packets.push_back(
+          MakePacket<std::string>(
+              std::string(reinterpret_cast<char const*>(input), 4))
+              .At(Timestamp(0)));
   auto status = runner.Run();
   MP_ASSERT_OK(runner.Run());
   const std::vector<Packet>& outputs =
-      runner.Outputs().Tag("FLOAT_VECTOR").packets;
+      runner.Outputs().Tag(kFloatVectorTag).packets;
   EXPECT_EQ(1, outputs.size());
   const std::vector<float>& result = outputs[0].Get<std::vector<float>>();
   ASSERT_FALSE(result.empty());

mediapipe/calculators/core/end_loop_calculator.cc

@@ -28,6 +28,10 @@ typedef EndLoopCalculator<std::vector<::mediapipe::NormalizedRect>>
     EndLoopNormalizedRectCalculator;
 REGISTER_CALCULATOR(EndLoopNormalizedRectCalculator);
 
+typedef EndLoopCalculator<std::vector<::mediapipe::LandmarkList>>
+    EndLoopLandmarkListVectorCalculator;
+REGISTER_CALCULATOR(EndLoopLandmarkListVectorCalculator);
+
 typedef EndLoopCalculator<std::vector<::mediapipe::NormalizedLandmarkList>>
     EndLoopNormalizedLandmarkListVectorCalculator;
 REGISTER_CALCULATOR(EndLoopNormalizedLandmarkListVectorCalculator);

mediapipe/calculators/core/flow_limiter_calculator.cc

@@ -24,6 +24,11 @@
 
 namespace mediapipe {
 
+constexpr char kFinishedTag[] = "FINISHED";
+constexpr char kAllowTag[] = "ALLOW";
+constexpr char kMaxInFlightTag[] = "MAX_IN_FLIGHT";
+constexpr char kOptionsTag[] = "OPTIONS";
+
 // FlowLimiterCalculator is used to limit the number of frames in flight
 // by dropping input frames when necessary.
 //
@@ -69,16 +74,19 @@ class FlowLimiterCalculator : public CalculatorBase {
  public:
   static absl::Status GetContract(CalculatorContract* cc) {
     auto& side_inputs = cc->InputSidePackets();
-    side_inputs.Tag("OPTIONS").Set<FlowLimiterCalculatorOptions>().Optional();
-    cc->Inputs().Tag("OPTIONS").Set<FlowLimiterCalculatorOptions>().Optional();
+    side_inputs.Tag(kOptionsTag).Set<FlowLimiterCalculatorOptions>().Optional();
+    cc->Inputs()
+        .Tag(kOptionsTag)
+        .Set<FlowLimiterCalculatorOptions>()
+        .Optional();
     RET_CHECK_GE(cc->Inputs().NumEntries(""), 1);
     for (int i = 0; i < cc->Inputs().NumEntries(""); ++i) {
       cc->Inputs().Get("", i).SetAny();
       cc->Outputs().Get("", i).SetSameAs(&(cc->Inputs().Get("", i)));
     }
     cc->Inputs().Get("FINISHED", 0).SetAny();
-    cc->InputSidePackets().Tag("MAX_IN_FLIGHT").Set<int>().Optional();
-    cc->Outputs().Tag("ALLOW").Set<bool>().Optional();
+    cc->InputSidePackets().Tag(kMaxInFlightTag).Set<int>().Optional();
+    cc->Outputs().Tag(kAllowTag).Set<bool>().Optional();
     cc->SetInputStreamHandler("ImmediateInputStreamHandler");
     cc->SetProcessTimestampBounds(true);
     return absl::OkStatus();
@@ -87,9 +95,9 @@ class FlowLimiterCalculator : public CalculatorBase {
   absl::Status Open(CalculatorContext* cc) final {
     options_ = cc->Options<FlowLimiterCalculatorOptions>();
     options_ = tool::RetrieveOptions(options_, cc->InputSidePackets());
-    if (cc->InputSidePackets().HasTag("MAX_IN_FLIGHT")) {
+    if (cc->InputSidePackets().HasTag(kMaxInFlightTag)) {
       options_.set_max_in_flight(
-          cc->InputSidePackets().Tag("MAX_IN_FLIGHT").Get<int>());
+          cc->InputSidePackets().Tag(kMaxInFlightTag).Get<int>());
     }
     input_queues_.resize(cc->Inputs().NumEntries(""));
     RET_CHECK_OK(CopyInputHeadersToOutputs(cc->Inputs(), &(cc->Outputs())));
@@ -104,8 +112,8 @@ class FlowLimiterCalculator : public CalculatorBase {
 
   // Outputs a packet indicating whether a frame was sent or dropped.
   void SendAllow(bool allow, Timestamp ts, CalculatorContext* cc) {
-    if (cc->Outputs().HasTag("ALLOW")) {
-      cc->Outputs().Tag("ALLOW").AddPacket(MakePacket<bool>(allow).At(ts));
+    if (cc->Outputs().HasTag(kAllowTag)) {
+      cc->Outputs().Tag(kAllowTag).AddPacket(MakePacket<bool>(allow).At(ts));
     }
   }
 
@@ -155,7 +163,7 @@ class FlowLimiterCalculator : public CalculatorBase {
     options_ = tool::RetrieveOptions(options_, cc->Inputs());
 
     // Process the FINISHED input stream.
-    Packet finished_packet = cc->Inputs().Tag("FINISHED").Value();
+    Packet finished_packet = cc->Inputs().Tag(kFinishedTag).Value();
     if (finished_packet.Timestamp() == cc->InputTimestamp()) {
       while (!frames_in_flight_.empty() &&
              frames_in_flight_.front() <= finished_packet.Timestamp()) {
@@ -210,8 +218,8 @@ class FlowLimiterCalculator : public CalculatorBase {
       Timestamp bound =
           cc->Inputs().Get("", 0).Value().Timestamp().NextAllowedInStream();
       SetNextTimestampBound(bound, &cc->Outputs().Get("", 0));
-      if (cc->Outputs().HasTag("ALLOW")) {
-        SetNextTimestampBound(bound, &cc->Outputs().Tag("ALLOW"));
+      if (cc->Outputs().HasTag(kAllowTag)) {
+        SetNextTimestampBound(bound, &cc->Outputs().Tag(kAllowTag));
       }
     }
 

mediapipe/calculators/core/flow_limiter_calculator_test.cc

@@ -36,6 +36,13 @@
 namespace mediapipe {
 
 namespace {
+
+constexpr char kDropTimestampsTag[] = "DROP_TIMESTAMPS";
+constexpr char kClockTag[] = "CLOCK";
+constexpr char kWarmupTimeTag[] = "WARMUP_TIME";
+constexpr char kSleepTimeTag[] = "SLEEP_TIME";
+constexpr char kPacketTag[] = "PACKET";
+
 // A simple Semaphore for synchronizing test threads.
 class AtomicSemaphore {
  public:
@@ -126,7 +133,7 @@ class FlowLimiterCalculatorSemaphoreTest : public testing::Test {
   // Back-edge "finished" limits processing to one frame in-flight.
   // The LambdaCalculator is used to keep certain frames in flight.
   CalculatorGraphConfig InflightGraphConfig() {
-    return ParseTextProtoOrDie<CalculatorGraphConfig>(R"(
+    return ParseTextProtoOrDie<CalculatorGraphConfig>(R"pb(
       input_stream: 'in_1'
       node {
         calculator: 'FlowLimiterCalculator'
@@ -143,7 +150,7 @@ class FlowLimiterCalculatorSemaphoreTest : public testing::Test {
         input_stream: 'in_1_sampled'
         output_stream: 'out_1'
       }
-    )");
+    )pb");
   }
 
  protected:
@@ -204,17 +211,17 @@ TEST_F(FlowLimiterCalculatorSemaphoreTest, FramesDropped) {
 class SleepCalculator : public CalculatorBase {
  public:
   static absl::Status GetContract(CalculatorContract* cc) {
-    cc->Inputs().Tag("PACKET").SetAny();
-    cc->Outputs().Tag("PACKET").SetSameAs(&cc->Inputs().Tag("PACKET"));
-    cc->InputSidePackets().Tag("SLEEP_TIME").Set<int64>();
-    cc->InputSidePackets().Tag("WARMUP_TIME").Set<int64>();
-    cc->InputSidePackets().Tag("CLOCK").Set<mediapipe::Clock*>();
+    cc->Inputs().Tag(kPacketTag).SetAny();
+    cc->Outputs().Tag(kPacketTag).SetSameAs(&cc->Inputs().Tag(kPacketTag));
+    cc->InputSidePackets().Tag(kSleepTimeTag).Set<int64>();
+    cc->InputSidePackets().Tag(kWarmupTimeTag).Set<int64>();
+    cc->InputSidePackets().Tag(kClockTag).Set<mediapipe::Clock*>();
     cc->SetTimestampOffset(0);
     return absl::OkStatus();
   }
 
   absl::Status Open(CalculatorContext* cc) final {
-    clock_ = cc->InputSidePackets().Tag("CLOCK").Get<mediapipe::Clock*>();
+    clock_ = cc->InputSidePackets().Tag(kClockTag).Get<mediapipe::Clock*>();
     return absl::OkStatus();
   }
 
@@ -222,10 +229,12 @@ class SleepCalculator : public CalculatorBase {
     ++packet_count;
     absl::Duration sleep_time = absl::Microseconds(
         packet_count == 1
-            ? cc->InputSidePackets().Tag("WARMUP_TIME").Get<int64>()
-            : cc->InputSidePackets().Tag("SLEEP_TIME").Get<int64>());
+            ? cc->InputSidePackets().Tag(kWarmupTimeTag).Get<int64>()
+            : cc->InputSidePackets().Tag(kSleepTimeTag).Get<int64>());
     clock_->Sleep(sleep_time);
-    cc->Outputs().Tag("PACKET").AddPacket(cc->Inputs().Tag("PACKET").Value());
+    cc->Outputs()
+        .Tag(kPacketTag)
+        .AddPacket(cc->Inputs().Tag(kPacketTag).Value());
     return absl::OkStatus();
   }
 
@@ -240,24 +249,27 @@ REGISTER_CALCULATOR(SleepCalculator);
 class DropCalculator : public CalculatorBase {
  public:
   static absl::Status GetContract(CalculatorContract* cc) {
-    cc->Inputs().Tag("PACKET").SetAny();
-    cc->Outputs().Tag("PACKET").SetSameAs(&cc->Inputs().Tag("PACKET"));
-    cc->InputSidePackets().Tag("DROP_TIMESTAMPS").Set<bool>();
+    cc->Inputs().Tag(kPacketTag).SetAny();
+    cc->Outputs().Tag(kPacketTag).SetSameAs(&cc->Inputs().Tag(kPacketTag));
+    cc->InputSidePackets().Tag(kDropTimestampsTag).Set<bool>();
     cc->SetProcessTimestampBounds(true);
     return absl::OkStatus();
   }
 
   absl::Status Process(CalculatorContext* cc) final {
-    if (!cc->Inputs().Tag("PACKET").Value().IsEmpty()) {
+    if (!cc->Inputs().Tag(kPacketTag).Value().IsEmpty()) {
       ++packet_count;
     }
     bool drop = (packet_count == 3);
-    if (!drop && !cc->Inputs().Tag("PACKET").Value().IsEmpty()) {
-      cc->Outputs().Tag("PACKET").AddPacket(cc->Inputs().Tag("PACKET").Value());
+    if (!drop && !cc->Inputs().Tag(kPacketTag).Value().IsEmpty()) {
+      cc->Outputs()
+          .Tag(kPacketTag)
+          .AddPacket(cc->Inputs().Tag(kPacketTag).Value());
     }
-    if (!drop || !cc->InputSidePackets().Tag("DROP_TIMESTAMPS").Get<bool>()) {
-      cc->Outputs().Tag("PACKET").SetNextTimestampBound(
-          cc->InputTimestamp().NextAllowedInStream());
+    if (!drop || !cc->InputSidePackets().Tag(kDropTimestampsTag).Get<bool>()) {
+      cc->Outputs()
+          .Tag(kPacketTag)
+          .SetNextTimestampBound(cc->InputTimestamp().NextAllowedInStream());
     }
     return absl::OkStatus();
   }
@@ -271,7 +283,7 @@ REGISTER_CALCULATOR(DropCalculator);
 class FlowLimiterCalculatorTest : public testing::Test {
  protected:
   CalculatorGraphConfig InflightGraphConfig() {
-    return ParseTextProtoOrDie<CalculatorGraphConfig>(R"(
+    return ParseTextProtoOrDie<CalculatorGraphConfig>(R"pb(
       input_stream: 'in_1'
       node {
         calculator: 'FlowLimiterCalculator'
@@ -296,7 +308,7 @@ class FlowLimiterCalculatorTest : public testing::Test {
         input_stream: 'PACKET:out_1_sampled'
         output_stream: 'PACKET:out_1'
       }
-    )");
+    )pb");
   }
 
   // Parse an absl::Time from RFC3339 format.
@@ -348,10 +360,10 @@ TEST_F(FlowLimiterCalculatorTest, FinishedTimestamps) {
   SetUpInputData();
   SetUpSimulationClock();
   CalculatorGraphConfig graph_config = InflightGraphConfig();
-  auto limiter_options = ParseTextProtoOrDie<FlowLimiterCalculatorOptions>(R"(
+  auto limiter_options = ParseTextProtoOrDie<FlowLimiterCalculatorOptions>(R"pb(
     max_in_flight: 1
     max_in_queue: 1
-  )");
+  )pb");
   std::map<std::string, Packet> side_packets = {
       {"limiter_options",
        MakePacket<FlowLimiterCalculatorOptions>(limiter_options)},
@@ -419,11 +431,11 @@ TEST_F(FlowLimiterCalculatorTest, FinishedLost) {
   SetUpInputData();
   SetUpSimulationClock();
   CalculatorGraphConfig graph_config = InflightGraphConfig();
-  auto limiter_options = ParseTextProtoOrDie<FlowLimiterCalculatorOptions>(R"(
+  auto limiter_options = ParseTextProtoOrDie<FlowLimiterCalculatorOptions>(R"pb(
     max_in_flight: 1
     max_in_queue: 1
     in_flight_timeout: 100000  # 100 ms
-  )");
+  )pb");
   std::map<std::string, Packet> side_packets = {
       {"limiter_options",
        MakePacket<FlowLimiterCalculatorOptions>(limiter_options)},
@@ -483,11 +495,11 @@ TEST_F(FlowLimiterCalculatorTest, FinishedDelayed) {
   SetUpInputData();
   SetUpSimulationClock();
   CalculatorGraphConfig graph_config = InflightGraphConfig();
-  auto limiter_options = ParseTextProtoOrDie<FlowLimiterCalculatorOptions>(R"(
+  auto limiter_options = ParseTextProtoOrDie<FlowLimiterCalculatorOptions>(R"pb(
     max_in_flight: 1
     max_in_queue: 1
     in_flight_timeout: 100000  # 100 ms
-  )");
+  )pb");
   std::map<std::string, Packet> side_packets = {
       {"limiter_options",
        MakePacket<FlowLimiterCalculatorOptions>(limiter_options)},
@@ -548,7 +560,7 @@ TEST_F(FlowLimiterCalculatorTest, TwoInputStreams) {
   SetUpInputData();
   SetUpSimulationClock();
   CalculatorGraphConfig graph_config =
-      ParseTextProtoOrDie<CalculatorGraphConfig>(R"(
+      ParseTextProtoOrDie<CalculatorGraphConfig>(R"pb(
         input_stream: 'in_1'
         input_stream: 'in_2'
         node {
@@ -576,13 +588,13 @@ TEST_F(FlowLimiterCalculatorTest, TwoInputStreams) {
           input_stream: 'PACKET:out_1_sampled'
           output_stream: 'PACKET:out_1'
         }
-      )");
+      )pb");
 
-  auto limiter_options = ParseTextProtoOrDie<FlowLimiterCalculatorOptions>(R"(
+  auto limiter_options = ParseTextProtoOrDie<FlowLimiterCalculatorOptions>(R"pb(
     max_in_flight: 1
     max_in_queue: 1
     in_flight_timeout: 100000  # 100 ms
-  )");
+  )pb");
   std::map<std::string, Packet> side_packets = {
       {"limiter_options",
        MakePacket<FlowLimiterCalculatorOptions>(limiter_options)},
@@ -657,7 +669,7 @@ TEST_F(FlowLimiterCalculatorTest, ZeroQueue) {
   SetUpInputData();
   SetUpSimulationClock();
   CalculatorGraphConfig graph_config =
-      ParseTextProtoOrDie<CalculatorGraphConfig>(R"(
+      ParseTextProtoOrDie<CalculatorGraphConfig>(R"pb(
         input_stream: 'in_1'
         input_stream: 'in_2'
         node {
@@ -685,13 +697,13 @@ TEST_F(FlowLimiterCalculatorTest, ZeroQueue) {
           input_stream: 'PACKET:out_1_sampled'
           output_stream: 'PACKET:out_1'
         }
-      )");
+      )pb");
 
-  auto limiter_options = ParseTextProtoOrDie<FlowLimiterCalculatorOptions>(R"(
+  auto limiter_options = ParseTextProtoOrDie<FlowLimiterCalculatorOptions>(R"pb(
     max_in_flight: 1
     max_in_queue: 0
     in_flight_timeout: 100000  # 100 ms
-  )");
+  )pb");
   std::map<std::string, Packet> side_packets = {
       {"limiter_options",
        MakePacket<FlowLimiterCalculatorOptions>(limiter_options)},

mediapipe/calculators/core/gate_calculator.cc

@@ -21,6 +21,11 @@
 namespace mediapipe {
 
 namespace {
+
+constexpr char kStateChangeTag[] = "STATE_CHANGE";
+constexpr char kDisallowTag[] = "DISALLOW";
+constexpr char kAllowTag[] = "ALLOW";
+
 enum GateState {
   GATE_UNINITIALIZED,
   GATE_ALLOW,
@@ -59,8 +64,9 @@ std::string ToString(GateState state) {
 // ALLOW or DISALLOW can also be specified as an input side packet. The rules
 // for evaluation remain the same as above.
 //
-// ALLOW/DISALLOW inputs must be specified either using input stream or
-// via input side packet but not both.
+// ALLOW/DISALLOW inputs must be specified either using input stream or via
+// input side packet but not both. If neither is specified, the behavior is then
+// determined by the "allow" field in the calculator options.
 //
 // Intended to be used with the default input stream handler, which synchronizes
 // all data input streams with the ALLOW/DISALLOW control input stream.
@@ -83,30 +89,33 @@ class GateCalculator : public CalculatorBase {
   GateCalculator() {}
 
   static absl::Status CheckAndInitAllowDisallowInputs(CalculatorContract* cc) {
-    bool input_via_side_packet = cc->InputSidePackets().HasTag("ALLOW") ||
-                                 cc->InputSidePackets().HasTag("DISALLOW");
+    bool input_via_side_packet = cc->InputSidePackets().HasTag(kAllowTag) ||
+                                 cc->InputSidePackets().HasTag(kDisallowTag);
     bool input_via_stream =
-        cc->Inputs().HasTag("ALLOW") || cc->Inputs().HasTag("DISALLOW");
-    // Only one of input_side_packet or input_stream may specify ALLOW/DISALLOW
-    // input.
-    RET_CHECK(input_via_side_packet ^ input_via_stream);
+        cc->Inputs().HasTag(kAllowTag) || cc->Inputs().HasTag(kDisallowTag);
 
+    // Only one of input_side_packet or input_stream may specify
+    // ALLOW/DISALLOW input.
     if (input_via_side_packet) {
-      RET_CHECK(cc->InputSidePackets().HasTag("ALLOW") ^
-                cc->InputSidePackets().HasTag("DISALLOW"));
+      RET_CHECK(!input_via_stream);
+      RET_CHECK(cc->InputSidePackets().HasTag(kAllowTag) ^
+                cc->InputSidePackets().HasTag(kDisallowTag));
 
-      if (cc->InputSidePackets().HasTag("ALLOW")) {
-        cc->InputSidePackets().Tag("ALLOW").Set<bool>();
+      if (cc->InputSidePackets().HasTag(kAllowTag)) {
+        cc->InputSidePackets().Tag(kAllowTag).Set<bool>().Optional();
       } else {
-        cc->InputSidePackets().Tag("DISALLOW").Set<bool>();
+        cc->InputSidePackets().Tag(kDisallowTag).Set<bool>().Optional();
       }
-    } else {
-      RET_CHECK(cc->Inputs().HasTag("ALLOW") ^ cc->Inputs().HasTag("DISALLOW"));
+    }
+    if (input_via_stream) {
+      RET_CHECK(!input_via_side_packet);
+      RET_CHECK(cc->Inputs().HasTag(kAllowTag) ^
+                cc->Inputs().HasTag(kDisallowTag));
 
-      if (cc->Inputs().HasTag("ALLOW")) {
-        cc->Inputs().Tag("ALLOW").Set<bool>();
+      if (cc->Inputs().HasTag(kAllowTag)) {
+        cc->Inputs().Tag(kAllowTag).Set<bool>();
       } else {
-        cc->Inputs().Tag("DISALLOW").Set<bool>();
+        cc->Inputs().Tag(kDisallowTag).Set<bool>();
       }
     }
     return absl::OkStatus();
@@ -125,23 +134,22 @@ class GateCalculator : public CalculatorBase {
       cc->Outputs().Get("", i).SetSameAs(&cc->Inputs().Get("", i));
     }
 
-    if (cc->Outputs().HasTag("STATE_CHANGE")) {
-      cc->Outputs().Tag("STATE_CHANGE").Set<bool>();
+    if (cc->Outputs().HasTag(kStateChangeTag)) {
+      cc->Outputs().Tag(kStateChangeTag).Set<bool>();
     }
 
     return absl::OkStatus();
   }
 
   absl::Status Open(CalculatorContext* cc) final {
-    use_side_packet_for_allow_disallow_ = false;
-    if (cc->InputSidePackets().HasTag("ALLOW")) {
+    if (cc->InputSidePackets().HasTag(kAllowTag)) {
       use_side_packet_for_allow_disallow_ = true;
       allow_by_side_packet_decision_ =
-          cc->InputSidePackets().Tag("ALLOW").Get<bool>();
-    } else if (cc->InputSidePackets().HasTag("DISALLOW")) {
+          cc->InputSidePackets().Tag(kAllowTag).Get<bool>();
+    } else if (cc->InputSidePackets().HasTag(kDisallowTag)) {
       use_side_packet_for_allow_disallow_ = true;
       allow_by_side_packet_decision_ =
-          !cc->InputSidePackets().Tag("DISALLOW").Get<bool>();
+          !cc->InputSidePackets().Tag(kDisallowTag).Get<bool>();
     }
 
     cc->SetOffset(TimestampDiff(0));
@@ -152,26 +160,34 @@ class GateCalculator : public CalculatorBase {
     const auto& options = cc->Options<::mediapipe::GateCalculatorOptions>();
     empty_packets_as_allow_ = options.empty_packets_as_allow();
 
+    if (!use_side_packet_for_allow_disallow_ &&
+        !cc->Inputs().HasTag(kAllowTag) && !cc->Inputs().HasTag(kDisallowTag)) {
+      use_option_for_allow_disallow_ = true;
+      allow_by_option_decision_ = options.allow();
+    }
+
     return absl::OkStatus();
   }
 
   absl::Status Process(CalculatorContext* cc) final {
     bool allow = empty_packets_as_allow_;
-    if (use_side_packet_for_allow_disallow_) {
+    if (use_option_for_allow_disallow_) {
+      allow = allow_by_option_decision_;
+    } else if (use_side_packet_for_allow_disallow_) {
       allow = allow_by_side_packet_decision_;
     } else {
-      if (cc->Inputs().HasTag("ALLOW") &&
-          !cc->Inputs().Tag("ALLOW").IsEmpty()) {
-        allow = cc->Inputs().Tag("ALLOW").Get<bool>();
+      if (cc->Inputs().HasTag(kAllowTag) &&
+          !cc->Inputs().Tag(kAllowTag).IsEmpty()) {
+        allow = cc->Inputs().Tag(kAllowTag).Get<bool>();
       }
-      if (cc->Inputs().HasTag("DISALLOW") &&
-          !cc->Inputs().Tag("DISALLOW").IsEmpty()) {
-        allow = !cc->Inputs().Tag("DISALLOW").Get<bool>();
+      if (cc->Inputs().HasTag(kDisallowTag) &&
+          !cc->Inputs().Tag(kDisallowTag).IsEmpty()) {
+        allow = !cc->Inputs().Tag(kDisallowTag).Get<bool>();
       }
     }
     const GateState new_gate_state = allow ? GATE_ALLOW : GATE_DISALLOW;
 
-    if (cc->Outputs().HasTag("STATE_CHANGE")) {
+    if (cc->Outputs().HasTag(kStateChangeTag)) {
       if (last_gate_state_ != GATE_UNINITIALIZED &&
           last_gate_state_ != new_gate_state) {
         VLOG(2) << "State transition in " << cc->NodeName() << " @ "
@@ -179,7 +195,7 @@ class GateCalculator : public CalculatorBase {
                 << ToString(last_gate_state_) << " to "
                 << ToString(new_gate_state);
         cc->Outputs()
-            .Tag("STATE_CHANGE")
+            .Tag(kStateChangeTag)
             .AddPacket(MakePacket<bool>(allow).At(cc->InputTimestamp()));
       }
     }
@@ -211,8 +227,10 @@ class GateCalculator : public CalculatorBase {
   GateState last_gate_state_ = GATE_UNINITIALIZED;
   int num_data_streams_;
   bool empty_packets_as_allow_;
-  bool use_side_packet_for_allow_disallow_;
+  bool use_side_packet_for_allow_disallow_ = false;
   bool allow_by_side_packet_decision_;
+  bool use_option_for_allow_disallow_ = false;
+  bool allow_by_option_decision_;
 };
 REGISTER_CALCULATOR(GateCalculator);
 

mediapipe/calculators/core/gate_calculator.proto

@@ -29,4 +29,8 @@ message GateCalculatorOptions {
   // disallowing the corresponding packets in the data input streams. Setting
   // this option to true inverts that, allowing the data packets to go through.
   optional bool empty_packets_as_allow = 1;
+
+  // Whether to allow or disallow the input streams to pass when no
+  // ALLOW/DISALLOW input or side input is specified.
+  optional bool allow = 2 [default = false];
 }

mediapipe/calculators/core/gate_calculator_test.cc

@@ -22,6 +22,9 @@ namespace mediapipe {
 
 namespace {
 
+constexpr char kDisallowTag[] = "DISALLOW";
+constexpr char kAllowTag[] = "ALLOW";
+
 class GateCalculatorTest : public ::testing::Test {
  protected:
   // Helper to run a graph and return status.
@@ -110,6 +113,68 @@ TEST_F(GateCalculatorTest, InvalidInputs) {
   )")));
 }
 
+TEST_F(GateCalculatorTest, AllowByALLOWOptionToTrue) {
+  SetRunner(R"(
+        calculator: "GateCalculator"
+        input_stream: "test_input"
+        output_stream: "test_output"
+        options: {
+          [mediapipe.GateCalculatorOptions.ext] {
+            allow: true
+          }
+        }
+  )");
+
+  constexpr int64 kTimestampValue0 = 42;
+  RunTimeStep(kTimestampValue0, true);
+  constexpr int64 kTimestampValue1 = 43;
+  RunTimeStep(kTimestampValue1, false);
+
+  const std::vector<Packet>& output = runner()->Outputs().Get("", 0).packets;
+  ASSERT_EQ(2, output.size());
+  EXPECT_EQ(kTimestampValue0, output[0].Timestamp().Value());
+  EXPECT_EQ(kTimestampValue1, output[1].Timestamp().Value());
+  EXPECT_EQ(true, output[0].Get<bool>());
+  EXPECT_EQ(false, output[1].Get<bool>());
+}
+
+TEST_F(GateCalculatorTest, DisallowByALLOWOptionSetToFalse) {
+  SetRunner(R"(
+        calculator: "GateCalculator"
+        input_stream: "test_input"
+        output_stream: "test_output"
+        options: {
+          [mediapipe.GateCalculatorOptions.ext] {
+            allow: false
+          }
+        }
+  )");
+
+  constexpr int64 kTimestampValue0 = 42;
+  RunTimeStep(kTimestampValue0, true);
+  constexpr int64 kTimestampValue1 = 43;
+  RunTimeStep(kTimestampValue1, false);
+
+  const std::vector<Packet>& output = runner()->Outputs().Get("", 0).packets;
+  ASSERT_EQ(0, output.size());
+}
+
+TEST_F(GateCalculatorTest, DisallowByALLOWOptionNotSet) {
+  SetRunner(R"(
+        calculator: "GateCalculator"
+        input_stream: "test_input"
+        output_stream: "test_output"
+  )");
+
+  constexpr int64 kTimestampValue0 = 42;
+  RunTimeStep(kTimestampValue0, true);
+  constexpr int64 kTimestampValue1 = 43;
+  RunTimeStep(kTimestampValue1, false);
+
+  const std::vector<Packet>& output = runner()->Outputs().Get("", 0).packets;
+  ASSERT_EQ(0, output.size());
+}
+
 TEST_F(GateCalculatorTest, AllowByALLOWSidePacketSetToTrue) {
   SetRunner(R"(
         calculator: "GateCalculator"
@@ -117,7 +182,7 @@ TEST_F(GateCalculatorTest, AllowByALLOWSidePacketSetToTrue) {
         input_stream: "test_input"
         output_stream: "test_output"
   )");
-  runner()->MutableSidePackets()->Tag("ALLOW") = Adopt(new bool(true));
+  runner()->MutableSidePackets()->Tag(kAllowTag) = Adopt(new bool(true));
 
   constexpr int64 kTimestampValue0 = 42;
   RunTimeStep(kTimestampValue0, true);
@@ -139,7 +204,7 @@ TEST_F(GateCalculatorTest, AllowByDisallowSidePacketSetToFalse) {
         input_stream: "test_input"
         output_stream: "test_output"
   )");
-  runner()->MutableSidePackets()->Tag("DISALLOW") = Adopt(new bool(false));
+  runner()->MutableSidePackets()->Tag(kDisallowTag) = Adopt(new bool(false));
 
   constexpr int64 kTimestampValue0 = 42;
   RunTimeStep(kTimestampValue0, true);
@@ -161,7 +226,7 @@ TEST_F(GateCalculatorTest, DisallowByALLOWSidePacketSetToFalse) {
         input_stream: "test_input"
         output_stream: "test_output"
   )");
-  runner()->MutableSidePackets()->Tag("ALLOW") = Adopt(new bool(false));
+  runner()->MutableSidePackets()->Tag(kAllowTag) = Adopt(new bool(false));
 
   constexpr int64 kTimestampValue0 = 42;
   RunTimeStep(kTimestampValue0, true);
@@ -179,7 +244,7 @@ TEST_F(GateCalculatorTest, DisallowByDISALLOWSidePacketSetToTrue) {
         input_stream: "test_input"
         output_stream: "test_output"
   )");
-  runner()->MutableSidePackets()->Tag("DISALLOW") = Adopt(new bool(true));
+  runner()->MutableSidePackets()->Tag(kDisallowTag) = Adopt(new bool(true));
 
   constexpr int64 kTimestampValue0 = 42;
   RunTimeStep(kTimestampValue0, true);

mediapipe/calculators/core/graph_profile_calculator.cc

@@ -0,0 +1,70 @@
+// Copyright 2019 The MediaPipe Authors.
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//      http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+#include <memory>
+
+#include "mediapipe/calculators/core/graph_profile_calculator.pb.h"
+#include "mediapipe/framework/api2/node.h"
+#include "mediapipe/framework/api2/packet.h"
+#include "mediapipe/framework/api2/port.h"
+#include "mediapipe/framework/calculator_framework.h"
+#include "mediapipe/framework/calculator_profile.pb.h"
+#include "mediapipe/framework/port/ret_check.h"
+#include "mediapipe/framework/port/status.h"
+
+namespace mediapipe {
+namespace api2 {
+
+// This calculator periodically copies the GraphProfile from
+// mediapipe::GraphProfiler::CaptureProfile to the "PROFILE" output stream.
+//
+// Example config:
+// node {
+//   calculator: "GraphProfileCalculator"
+//   output_stream: "FRAME:any_frame"
+//   output_stream: "PROFILE:graph_profile"
+// }
+//
+class GraphProfileCalculator : public Node {
+ public:
+  static constexpr Input<AnyType>::Multiple kFrameIn{"FRAME"};
+  static constexpr Output<GraphProfile> kProfileOut{"PROFILE"};
+
+  MEDIAPIPE_NODE_CONTRACT(kFrameIn, kProfileOut);
+
+  static absl::Status UpdateContract(CalculatorContract* cc) {
+    return absl::OkStatus();
+  }
+
+  absl::Status Process(CalculatorContext* cc) final {
+    auto options = cc->Options<::mediapipe::GraphProfileCalculatorOptions>();
+
+    if (prev_profile_ts_ == Timestamp::Unset() ||
+        cc->InputTimestamp() - prev_profile_ts_ >= options.profile_interval()) {
+      prev_profile_ts_ = cc->InputTimestamp();
+      GraphProfile result;
+      MP_RETURN_IF_ERROR(cc->GetProfilingContext()->CaptureProfile(&result));
+      kProfileOut(cc).Send(result);
+    }
+    return absl::OkStatus();
+  }
+
+ private:
+  Timestamp prev_profile_ts_;
+};
+
+MEDIAPIPE_REGISTER_NODE(GraphProfileCalculator);
+
+}  // namespace api2
+}  // namespace mediapipe

mediapipe/calculators/core/graph_profile_calculator.proto

@@ -0,0 +1,30 @@
+// Copyright 2019 The MediaPipe Authors.
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//      http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+syntax = "proto2";
+
+package mediapipe;
+
+import "mediapipe/framework/calculator.proto";
+
+option objc_class_prefix = "MediaPipe";
+
+message GraphProfileCalculatorOptions {
+  extend mediapipe.CalculatorOptions {
+    optional GraphProfileCalculatorOptions ext = 367481815;
+  }
+
+  // The interval in microseconds between successive reported GraphProfiles.
+  optional int64 profile_interval = 1 [default = 1000000];
+}

mediapipe/calculators/core/graph_profile_calculator_test.cc

@@ -0,0 +1,211 @@
+// Copyright 2019 The MediaPipe Authors.
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//      http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+#include <memory>
+#include <string>
+#include <vector>
+
+#include "absl/status/status.h"
+#include "absl/strings/str_cat.h"
+#include "absl/time/time.h"
+#include "mediapipe/framework/calculator.pb.h"
+#include "mediapipe/framework/calculator_framework.h"
+#include "mediapipe/framework/calculator_profile.pb.h"
+#include "mediapipe/framework/deps/clock.h"
+#include "mediapipe/framework/deps/message_matchers.h"
+#include "mediapipe/framework/port/gmock.h"
+#include "mediapipe/framework/port/gtest.h"
+#include "mediapipe/framework/port/integral_types.h"
+#include "mediapipe/framework/port/logging.h"
+#include "mediapipe/framework/port/parse_text_proto.h"
+#include "mediapipe/framework/port/proto_ns.h"
+#include "mediapipe/framework/port/status_matchers.h"
+#include "mediapipe/framework/port/threadpool.h"
+#include "mediapipe/framework/tool/simulation_clock_executor.h"
+
+// Tests for GraphProfileCalculator.
+using testing::ElementsAre;
+
+namespace mediapipe {
+namespace {
+
+constexpr char kClockTag[] = "CLOCK";
+
+using mediapipe::Clock;
+
+// A Calculator with a fixed Process call latency.
+class SleepCalculator : public CalculatorBase {
+ public:
+  static absl::Status GetContract(CalculatorContract* cc) {
+    cc->InputSidePackets().Tag(kClockTag).Set<std::shared_ptr<Clock>>();
+    cc->Inputs().Index(0).SetAny();
+    cc->Outputs().Index(0).SetSameAs(&cc->Inputs().Index(0));
+    cc->SetTimestampOffset(TimestampDiff(0));
+    return absl::OkStatus();
+  }
+  absl::Status Open(CalculatorContext* cc) final {
+    clock_ =
+        cc->InputSidePackets().Tag(kClockTag).Get<std::shared_ptr<Clock>>();
+    return absl::OkStatus();
+  }
+
+  absl::Status Process(CalculatorContext* cc) final {
+    clock_->Sleep(absl::Milliseconds(5));
+    cc->Outputs().Index(0).AddPacket(cc->Inputs().Index(0).Value());
+    return absl::OkStatus();
+  }
+  std::shared_ptr<::mediapipe::Clock> clock_ = nullptr;
+};
+REGISTER_CALCULATOR(SleepCalculator);
+
+// Tests showing GraphProfileCalculator reporting GraphProfile output packets.
+class GraphProfileCalculatorTest : public ::testing::Test {
+ protected:
+  void SetUpProfileGraph() {
+    ASSERT_TRUE(proto_ns::TextFormat::ParseFromString(R"(
+        input_stream: "input_packets_0"
+        node {
+          calculator: 'SleepCalculator'
+          input_side_packet: 'CLOCK:sync_clock'
+          input_stream: 'input_packets_0'
+          output_stream: 'output_packets_1'
+        }
+        node {
+          calculator: "GraphProfileCalculator"
+          options: {
+            [mediapipe.GraphProfileCalculatorOptions.ext]: {
+              profile_interval: 25000
+            }
+          }
+          input_stream: "FRAME:output_packets_1"
+          output_stream: "PROFILE:output_packets_0"
+        }
+    )",
+                                                      &graph_config_));
+  }
+
+  static Packet PacketAt(int64 ts) {
+    return Adopt(new int64(999)).At(Timestamp(ts));
+  }
+  static Packet None() { return Packet().At(Timestamp::OneOverPostStream()); }
+  static bool IsNone(const Packet& packet) {
+    return packet.Timestamp() == Timestamp::OneOverPostStream();
+  }
+  // Return the values of the timestamps of a vector of Packets.
+  static std::vector<int64> TimestampValues(
+      const std::vector<Packet>& packets) {
+    std::vector<int64> result;
+    for (const Packet& p : packets) {
+      result.push_back(p.Timestamp().Value());
+    }
+    return result;
+  }
+
+  // Runs a CalculatorGraph with a series of packet sets.
+  // Returns a vector of packets from each graph output stream.
+  void RunGraph(const std::vector<std::vector<Packet>>& input_sets,
+                std::vector<Packet>* output_packets) {
+    // Register output packet observers.
+    tool::AddVectorSink("output_packets_0", &graph_config_, output_packets);
+
+    // Start running the graph.
+    std::shared_ptr<SimulationClockExecutor> executor(
+        new SimulationClockExecutor(3 /*num_threads*/));
+    CalculatorGraph graph;
+    MP_ASSERT_OK(graph.SetExecutor("", executor));
+    graph.profiler()->SetClock(executor->GetClock());
+    MP_ASSERT_OK(graph.Initialize(graph_config_));
+    executor->GetClock()->ThreadStart();
+    MP_ASSERT_OK(graph.StartRun({
+        {"sync_clock",
+         Adopt(new std::shared_ptr<::mediapipe::Clock>(executor->GetClock()))},
+    }));
+
+    // Send each packet to the graph in the specified order.
+    for (int t = 0; t < input_sets.size(); t++) {
+      const std::vector<Packet>& input_set = input_sets[t];
+      for (int i = 0; i < input_set.size(); i++) {
+        const Packet& packet = input_set[i];
+        if (!IsNone(packet)) {
+          MP_EXPECT_OK(graph.AddPacketToInputStream(
+              absl::StrCat("input_packets_", i), packet));
+        }
+        executor->GetClock()->Sleep(absl::Milliseconds(10));
+      }
+    }
+    MP_ASSERT_OK(graph.CloseAllInputStreams());
+    executor->GetClock()->Sleep(absl::Milliseconds(100));
+    executor->GetClock()->ThreadFinish();
+    MP_ASSERT_OK(graph.WaitUntilDone());
+  }
+
+  CalculatorGraphConfig graph_config_;
+};
+
+TEST_F(GraphProfileCalculatorTest, GraphProfile) {
+  SetUpProfileGraph();
+  auto profiler_config = graph_config_.mutable_profiler_config();
+  profiler_config->set_enable_profiler(true);
+  profiler_config->set_trace_enabled(false);
+  profiler_config->set_trace_log_disabled(true);
+  profiler_config->set_enable_stream_latency(true);
+  profiler_config->set_calculator_filter(".*Calculator");
+
+  // Run the graph with a series of packet sets.
+  std::vector<std::vector<Packet>> input_sets = {
+      {PacketAt(10000)},  //
+      {PacketAt(20000)},  //
+      {PacketAt(30000)},  //
+      {PacketAt(40000)},
+  };
+  std::vector<Packet> output_packets;
+  RunGraph(input_sets, &output_packets);
+
+  // Validate the output packets.
+  EXPECT_THAT(TimestampValues(output_packets),  //
+              ElementsAre(10000, 40000));
+
+  GraphProfile expected_profile =
+      mediapipe::ParseTextProtoOrDie<GraphProfile>(R"pb(
+        calculator_profiles {
+          name: "GraphProfileCalculator"
+          open_runtime: 0
+          process_runtime { total: 0 count: 3 }
+          process_input_latency { total: 15000 count: 3 }
+          process_output_latency { total: 15000 count: 3 }
+          input_stream_profiles {
+            name: "output_packets_1"
+            back_edge: false
+            latency { total: 0 count: 3 }
+          }
+        }
+        calculator_profiles {
+          name: "SleepCalculator"
+          open_runtime: 0
+          process_runtime { total: 15000 count: 3 }
+          process_input_latency { total: 0 count: 3 }
+          process_output_latency { total: 15000 count: 3 }
+          input_stream_profiles {
+            name: "input_packets_0"
+            back_edge: false
+            latency { total: 0 count: 3 }
+          }
+        })pb");
+
+  EXPECT_THAT(output_packets[1].Get<GraphProfile>(),
+              mediapipe::EqualsProto(expected_profile));
+}
+
+}  // namespace
+}  // namespace mediapipe

mediapipe/calculators/core/make_pair_calculator_test.cc

@@ -0,0 +1,70 @@
+// Copyright 2021 The MediaPipe Authors.
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//      http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+#include "mediapipe/framework/calculator_framework.h"
+#include "mediapipe/framework/calculator_runner.h"
+#include "mediapipe/framework/port/canonical_errors.h"
+#include "mediapipe/framework/port/gmock.h"
+#include "mediapipe/framework/port/gtest.h"
+#include "mediapipe/framework/port/status.h"
+#include "mediapipe/framework/port/status_matchers.h"
+#include "mediapipe/framework/timestamp.h"
+#include "mediapipe/framework/tool/validate_type.h"
+#include "mediapipe/util/packet_test_util.h"
+#include "mediapipe/util/time_series_test_util.h"
+
+namespace mediapipe {
+
+class MakePairCalculatorTest
+    : public mediapipe::TimeSeriesCalculatorTest<mediapipe::NoOptions> {
+ protected:
+  void SetUp() override {
+    calculator_name_ = "MakePairCalculator";
+    num_input_streams_ = 2;
+  }
+};
+
+TEST_F(MakePairCalculatorTest, ProducesExpectedPairs) {
+  InitializeGraph();
+  AppendInputPacket(new std::string("first packet"), Timestamp(1),
+                    /* input_index= */ 0);
+  AppendInputPacket(new std::string("second packet"), Timestamp(5),
+                    /* input_index= */ 0);
+  AppendInputPacket(new int(10), Timestamp(1), /* input_index= */ 1);
+  AppendInputPacket(new int(20), Timestamp(5), /* input_index= */ 1);
+
+  MP_ASSERT_OK(RunGraph());
+
+  EXPECT_THAT(
+      output().packets,
+      ::testing::ElementsAre(
+          mediapipe::PacketContainsTimestampAndPayload<
+              std::pair<Packet, Packet>>(
+              Timestamp(1),
+              ::testing::Pair(
+                  mediapipe::PacketContainsTimestampAndPayload<std::string>(
+                      Timestamp(1), std::string("first packet")),
+                  mediapipe::PacketContainsTimestampAndPayload<int>(
+                      Timestamp(1), 10))),
+          mediapipe::PacketContainsTimestampAndPayload<
+              std::pair<Packet, Packet>>(
+              Timestamp(5),
+              ::testing::Pair(
+                  mediapipe::PacketContainsTimestampAndPayload<std::string>(
+                      Timestamp(5), std::string("second packet")),
+                  mediapipe::PacketContainsTimestampAndPayload<int>(
+                      Timestamp(5), 20)))));
+}
+
+}  // namespace mediapipe

mediapipe/calculators/core/matrix_subtract_calculator_test.cc

@@ -29,6 +29,9 @@
 namespace mediapipe {
 namespace {
 
+constexpr char kMinuendTag[] = "MINUEND";
+constexpr char kSubtrahendTag[] = "SUBTRAHEND";
+
 // A 3x4 Matrix of random integers in [0,1000).
 const char kMatrixText[] =
     "rows: 3\n"
@@ -64,13 +67,13 @@ const char kMatrixText2[] =
 
 TEST(MatrixSubtractCalculatorTest, WrongConfig) {
   CalculatorGraphConfig::Node node_config =
-      ParseTextProtoOrDie<CalculatorGraphConfig::Node>(R"(
+      ParseTextProtoOrDie<CalculatorGraphConfig::Node>(R"pb(
         calculator: "MatrixSubtractCalculator"
         input_stream: "input_matrix"
         input_side_packet: "SUBTRAHEND:side_matrix"
         input_side_packet: "MINUEND:side_matrix2"
         output_stream: "output_matrix"
-      )");
+      )pb");
   CalculatorRunner runner(node_config);
   auto status = runner.Run();
   EXPECT_THAT(
@@ -81,12 +84,12 @@ TEST(MatrixSubtractCalculatorTest, WrongConfig) {
 
 TEST(MatrixSubtractCalculatorTest, WrongConfig2) {
   CalculatorGraphConfig::Node node_config =
-      ParseTextProtoOrDie<CalculatorGraphConfig::Node>(R"(
+      ParseTextProtoOrDie<CalculatorGraphConfig::Node>(R"pb(
         calculator: "MatrixSubtractCalculator"
         input_side_packet: "SUBTRAHEND:side_matrix"
         input_stream: "SUBTRAHEND:side_matrix2"
         output_stream: "output_matrix"
-      )");
+      )pb");
   CalculatorRunner runner(node_config);
   auto status = runner.Run();
   EXPECT_THAT(status.message(), testing::HasSubstr("must be connected"));
@@ -95,21 +98,22 @@ TEST(MatrixSubtractCalculatorTest, WrongConfig2) {
 
 TEST(MatrixSubtractCalculatorTest, SubtractFromInput) {
   CalculatorGraphConfig::Node node_config =
-      ParseTextProtoOrDie<CalculatorGraphConfig::Node>(R"(
+      ParseTextProtoOrDie<CalculatorGraphConfig::Node>(R"pb(
         calculator: "MatrixSubtractCalculator"
         input_stream: "MINUEND:input_matrix"
         input_side_packet: "SUBTRAHEND:side_matrix"
         output_stream: "output_matrix"
-      )");
+      )pb");
   CalculatorRunner runner(node_config);
   Matrix* side_matrix = new Matrix();
   MatrixFromTextProto(kMatrixText, side_matrix);
-  runner.MutableSidePackets()->Tag("SUBTRAHEND") = Adopt(side_matrix);
+  runner.MutableSidePackets()->Tag(kSubtrahendTag) = Adopt(side_matrix);
 
   Matrix* input_matrix = new Matrix();
   MatrixFromTextProto(kMatrixText2, input_matrix);
-  runner.MutableInputs()->Tag("MINUEND").packets.push_back(
-      Adopt(input_matrix).At(Timestamp(0)));
+  runner.MutableInputs()
+      ->Tag(kMinuendTag)
+      .packets.push_back(Adopt(input_matrix).At(Timestamp(0)));
 
   MP_ASSERT_OK(runner.Run());
   EXPECT_EQ(1, runner.Outputs().Index(0).packets.size());
@@ -124,21 +128,21 @@ TEST(MatrixSubtractCalculatorTest, SubtractFromInput) {
 
 TEST(MatrixSubtractCalculatorTest, SubtractFromSideMatrix) {
   CalculatorGraphConfig::Node node_config =
-      ParseTextProtoOrDie<CalculatorGraphConfig::Node>(R"(
+      ParseTextProtoOrDie<CalculatorGraphConfig::Node>(R"pb(
         calculator: "MatrixSubtractCalculator"
         input_stream: "SUBTRAHEND:input_matrix"
         input_side_packet: "MINUEND:side_matrix"
         output_stream: "output_matrix"
-      )");
+      )pb");
   CalculatorRunner runner(node_config);
   Matrix* side_matrix = new Matrix();
   MatrixFromTextProto(kMatrixText, side_matrix);
-  runner.MutableSidePackets()->Tag("MINUEND") = Adopt(side_matrix);
+  runner.MutableSidePackets()->Tag(kMinuendTag) = Adopt(side_matrix);
 
   Matrix* input_matrix = new Matrix();
   MatrixFromTextProto(kMatrixText2, input_matrix);
   runner.MutableInputs()
-      ->Tag("SUBTRAHEND")
+      ->Tag(kSubtrahendTag)
       .packets.push_back(Adopt(input_matrix).At(Timestamp(0)));
 
   MP_ASSERT_OK(runner.Run());

mediapipe/calculators/core/merge_calculator_test.cc

@@ -26,31 +26,33 @@ namespace {
 
 // Checks that the calculator fails if no input streams are provided.
 TEST(InvariantMergeInputStreamsCalculator, NoInputStreamsMustFail) {
-  CalculatorRunner runner(ParseTextProtoOrDie<CalculatorGraphConfig::Node>(R"(
+  CalculatorRunner runner(ParseTextProtoOrDie<CalculatorGraphConfig::Node>(R"pb(
     calculator: "MergeCalculator"
     output_stream: "merged_output"
-  )"));
+  )pb"));
   // Expect calculator to fail.
   ASSERT_FALSE(runner.Run().ok());
 }
 
 // Checks that the calculator fails with an incorrect number of output streams.
 TEST(InvariantMergeInputStreamsCalculator, ExpectExactlyOneOutputStream) {
-  CalculatorRunner runner1(ParseTextProtoOrDie<CalculatorGraphConfig::Node>(R"(
-    calculator: "MergeCalculator"
-    input_stream: "input1"
-    input_stream: "input2"
-  )"));
+  CalculatorRunner runner1(
+      ParseTextProtoOrDie<CalculatorGraphConfig::Node>(R"pb(
+        calculator: "MergeCalculator"
+        input_stream: "input1"
+        input_stream: "input2"
+      )pb"));
   // Expect calculator to fail.
   EXPECT_FALSE(runner1.Run().ok());
 
-  CalculatorRunner runner2(ParseTextProtoOrDie<CalculatorGraphConfig::Node>(R"(
-    calculator: "MergeCalculator"
-    input_stream: "input1"
-    input_stream: "input2"
-    output_stream: "output1"
-    output_stream: "output2"
-  )"));
+  CalculatorRunner runner2(
+      ParseTextProtoOrDie<CalculatorGraphConfig::Node>(R"pb(
+        calculator: "MergeCalculator"
+        input_stream: "input1"
+        input_stream: "input2"
+        output_stream: "output1"
+        output_stream: "output2"
+      )pb"));
   // Expect calculator to fail.
   ASSERT_FALSE(runner2.Run().ok());
 }
@@ -58,12 +60,12 @@ TEST(InvariantMergeInputStreamsCalculator, ExpectExactlyOneOutputStream) {
 // Ensures two streams with differing types can be merged correctly.
 TEST(MediaPipeDetectionToSoapboxDetectionCalculatorTest,
      TestMergingTwoStreams) {
-  CalculatorRunner runner(ParseTextProtoOrDie<CalculatorGraphConfig::Node>(R"(
+  CalculatorRunner runner(ParseTextProtoOrDie<CalculatorGraphConfig::Node>(R"pb(
     calculator: "MergeCalculator"
     input_stream: "input1"
     input_stream: "input2"
     output_stream: "combined_output"
-  )"));
+  )pb"));
 
   // input1: integers 10, 20, 30, occurring at times 10, 20, 30.
   runner.MutableInputs()->Index(0).packets.push_back(
@@ -102,13 +104,13 @@ TEST(MediaPipeDetectionToSoapboxDetectionCalculatorTest,
 // Ensures three streams with differing types can be merged correctly.
 TEST(MediaPipeDetectionToSoapboxDetectionCalculatorTest,
      TestMergingThreeStreams) {
-  CalculatorRunner runner(ParseTextProtoOrDie<CalculatorGraphConfig::Node>(R"(
+  CalculatorRunner runner(ParseTextProtoOrDie<CalculatorGraphConfig::Node>(R"pb(
     calculator: "MergeCalculator"
     input_stream: "input1"
     input_stream: "input2"
     input_stream: "input3"
     output_stream: "combined_output"
-  )"));
+  )pb"));
 
   // input1: integer 30 occurring at time 30.
   runner.MutableInputs()->Index(0).packets.push_back(

mediapipe/calculators/core/mux_calculator_test.cc

@@ -31,7 +31,7 @@ namespace {
 
 // Graph with default input stream handler, and the input selection is driven
 // by an input stream. All MuxCalculator inputs are present at each timestamp.
-constexpr char kTestGraphConfig1[] = R"proto(
+constexpr char kTestGraphConfig1[] = R"pb(
   input_stream: "input"
   output_stream: "test_output"
   node {
@@ -60,12 +60,12 @@ constexpr char kTestGraphConfig1[] = R"proto(
     output_stream: "OUTPUT:test_output"
     input_stream_handler { input_stream_handler: "DefaultInputStreamHandler" }
   }
-)proto";
+)pb";
 
 // Graph with default input stream handler, and the input selection is driven
 // by an input side packet. All MuxCalculator inputs are present at each
 // timestamp.
-constexpr char kTestGraphConfig2[] = R"proto(
+constexpr char kTestGraphConfig2[] = R"pb(
   input_side_packet: "input_selector"
   input_stream: "input"
   output_stream: "test_output"
@@ -93,12 +93,12 @@ constexpr char kTestGraphConfig2[] = R"proto(
     output_stream: "OUTPUT:test_output"
     input_stream_handler { input_stream_handler: "DefaultInputStreamHandler" }
   }
-)proto";
+)pb";
 
 // Graph with mux input stream handler, and the input selection is driven
 // by an input stream. Only one MuxCalculator input is present at each
 // timestamp.
-constexpr char kTestGraphConfig3[] = R"proto(
+constexpr char kTestGraphConfig3[] = R"pb(
   input_stream: "input"
   output_stream: "test_output"
   node {
@@ -117,7 +117,7 @@ constexpr char kTestGraphConfig3[] = R"proto(
     input_stream: "SELECT:input_select"
     output_stream: "OUTPUT:test_output"
   }
-)proto";
+)pb";
 
 constexpr char kOutputName[] = "test_output";
 constexpr char kInputName[] = "input";
@@ -235,7 +235,7 @@ TEST(MuxCalculatorTest, InputStreamSelector_MuxInputStreamHandler) {
   EXPECT_EQ(output, input_packets);
 }
 
-constexpr char kDualInputGraphConfig[] = R"proto(
+constexpr char kDualInputGraphConfig[] = R"pb(
   input_stream: "input_0"
   input_stream: "input_1"
   input_stream: "input_select"
@@ -247,7 +247,7 @@ constexpr char kDualInputGraphConfig[] = R"proto(
     input_stream: "SELECT:input_select"
     output_stream: "OUTPUT:test_output"
   }
-)proto";
+)pb";
 
 TEST(MuxCalculatorTest, DiscardSkippedInputs_MuxInputStreamHandler) {
   CalculatorGraphConfig config =

mediapipe/calculators/core/non_zero_calculator.cc

@@ -23,14 +23,26 @@ namespace api2 {
 class NonZeroCalculator : public Node {
  public:
   static constexpr Input<int>::SideFallback kIn{"INPUT"};
-  static constexpr Output<int> kOut{"OUTPUT"};
+  static constexpr Output<int>::Optional kOut{"OUTPUT"};
+  static constexpr Output<bool>::Optional kBooleanOut{"OUTPUT_BOOL"};
 
-  MEDIAPIPE_NODE_CONTRACT(kIn, kOut);
+  MEDIAPIPE_NODE_CONTRACT(kIn, kOut, kBooleanOut);
+
+  absl::Status UpdateContract(CalculatorContract* cc) {
+    RET_CHECK(kOut(cc).IsConnected() || kBooleanOut(cc).IsConnected())
+        << "At least one output stream is expected.";
+    return absl::OkStatus();
+  }
 
   absl::Status Process(CalculatorContext* cc) final {
     if (!kIn(cc).IsEmpty()) {
-      auto output = std::make_unique<int>((*kIn(cc) != 0) ? 1 : 0);
-      kOut(cc).Send(std::move(output));
+      bool isNonZero = *kIn(cc) != 0;
+      if (kOut(cc).IsConnected()) {
+        kOut(cc).Send(std::make_unique<int>(isNonZero ? 1 : 0));
+      }
+      if (kBooleanOut(cc).IsConnected()) {
+        kBooleanOut(cc).Send(std::make_unique<bool>(isNonZero));
+      }
     }
     return absl::OkStatus();
   }

mediapipe/calculators/core/non_zero_calculator_test.cc

@@ -0,0 +1,93 @@
+// Copyright 2021 The MediaPipe Authors.
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//      http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+#include "mediapipe/framework/calculator_framework.h"
+#include "mediapipe/framework/calculator_runner.h"
+#include "mediapipe/framework/port/canonical_errors.h"
+#include "mediapipe/framework/port/gmock.h"
+#include "mediapipe/framework/port/gtest.h"
+#include "mediapipe/framework/port/status.h"
+#include "mediapipe/framework/port/status_matchers.h"
+#include "mediapipe/framework/timestamp.h"
+#include "mediapipe/framework/tool/validate_type.h"
+
+namespace mediapipe {
+
+class NonZeroCalculatorTest : public ::testing::Test {
+ protected:
+  NonZeroCalculatorTest()
+      : runner_(
+            R"pb(
+              calculator: "NonZeroCalculator"
+              input_stream: "INPUT:input"
+              output_stream: "OUTPUT:output"
+              output_stream: "OUTPUT_BOOL:output_bool"
+            )pb") {}
+
+  void SetInput(const std::vector<int>& inputs) {
+    int timestamp = 0;
+    for (const auto input : inputs) {
+      runner_.MutableInputs()
+          ->Get("INPUT", 0)
+          .packets.push_back(MakePacket<int>(input).At(Timestamp(timestamp++)));
+    }
+  }
+
+  std::vector<int> GetOutput() {
+    std::vector<int> result;
+    for (const auto output : runner_.Outputs().Get("OUTPUT", 0).packets) {
+      result.push_back(output.Get<int>());
+    }
+    return result;
+  }
+
+  std::vector<bool> GetOutputBool() {
+    std::vector<bool> result;
+    for (const auto output : runner_.Outputs().Get("OUTPUT_BOOL", 0).packets) {
+      result.push_back(output.Get<bool>());
+    }
+    return result;
+  }
+
+  CalculatorRunner runner_;
+};
+
+TEST_F(NonZeroCalculatorTest, ProducesZeroOutputForZeroInput) {
+  SetInput({0});
+
+  MP_ASSERT_OK(runner_.Run());
+
+  EXPECT_THAT(GetOutput(), ::testing::ElementsAre(0));
+  EXPECT_THAT(GetOutputBool(), ::testing::ElementsAre(false));
+}
+
+TEST_F(NonZeroCalculatorTest, ProducesNonZeroOutputForNonZeroInput) {
+  SetInput({1, 2, 3, -4, 5});
+
+  MP_ASSERT_OK(runner_.Run());
+
+  EXPECT_THAT(GetOutput(), ::testing::ElementsAre(1, 1, 1, 1, 1));
+  EXPECT_THAT(GetOutputBool(),
+              ::testing::ElementsAre(true, true, true, true, true));
+}
+
+TEST_F(NonZeroCalculatorTest, SwitchesBetweenNonZeroAndZeroOutput) {
+  SetInput({1, 0, 3, 0, 5});
+  MP_ASSERT_OK(runner_.Run());
+  EXPECT_THAT(GetOutput(), ::testing::ElementsAre(1, 0, 1, 0, 1));
+  EXPECT_THAT(GetOutputBool(),
+              ::testing::ElementsAre(true, false, true, false, true));
+}
+
+}  // namespace mediapipe

mediapipe/calculators/core/packet_presence_calculator.cc

@@ -17,6 +17,9 @@
 
 namespace mediapipe {
 
+constexpr char kPresenceTag[] = "PRESENCE";
+constexpr char kPacketTag[] = "PACKET";
+
 // For each non empty input packet, emits a single output packet containing a
 // boolean value "true", "false" in response to empty packets (a.k.a. timestamp
 // bound updates) This can be used to "flag" the presence of an arbitrary packet
@@ -58,8 +61,8 @@ namespace mediapipe {
 class PacketPresenceCalculator : public CalculatorBase {
  public:
   static absl::Status GetContract(CalculatorContract* cc) {
-    cc->Inputs().Tag("PACKET").SetAny();
-    cc->Outputs().Tag("PRESENCE").Set<bool>();
+    cc->Inputs().Tag(kPacketTag).SetAny();
+    cc->Outputs().Tag(kPresenceTag).Set<bool>();
     // Process() function is invoked in response to input stream timestamp
     // bound updates.
     cc->SetProcessTimestampBounds(true);
@@ -73,8 +76,8 @@ class PacketPresenceCalculator : public CalculatorBase {
 
   absl::Status Process(CalculatorContext* cc) final {
     cc->Outputs()
-        .Tag("PRESENCE")
-        .AddPacket(MakePacket<bool>(!cc->Inputs().Tag("PACKET").IsEmpty())
+        .Tag(kPresenceTag)
+        .AddPacket(MakePacket<bool>(!cc->Inputs().Tag(kPacketTag).IsEmpty())
                        .At(cc->InputTimestamp()));
     return absl::OkStatus();
   }

mediapipe/calculators/core/packet_presence_calculator_test.cc

@@ -40,7 +40,7 @@ MATCHER_P2(BoolPacket, value, timestamp, "") {
 TEST(PreviousLoopbackCalculator, CorrectTimestamps) {
   std::vector<Packet> output_packets;
   CalculatorGraphConfig graph_config =
-      ParseTextProtoOrDie<CalculatorGraphConfig>(R"(
+      ParseTextProtoOrDie<CalculatorGraphConfig>(R"pb(
         input_stream: 'allow'
         input_stream: 'value'
         node {
@@ -54,7 +54,7 @@ TEST(PreviousLoopbackCalculator, CorrectTimestamps) {
           input_stream: 'PACKET:gated_value'
           output_stream: 'PRESENCE:presence'
         }
-      )");
+      )pb");
   tool::AddVectorSink("presence", &graph_config, &output_packets);
 
   CalculatorGraph graph;

mediapipe/calculators/core/packet_resampler_calculator.cc

@@ -39,6 +39,11 @@ namespace mediapipe {
 
 REGISTER_CALCULATOR(PacketResamplerCalculator);
 namespace {
+
+constexpr char kSeedTag[] = "SEED";
+constexpr char kVideoHeaderTag[] = "VIDEO_HEADER";
+constexpr char kOptionsTag[] = "OPTIONS";
+
 // Returns a TimestampDiff (assuming microseconds) corresponding to the
 // given time in seconds.
 TimestampDiff TimestampDiffFromSeconds(double seconds) {
@@ -50,16 +55,16 @@ TimestampDiff TimestampDiffFromSeconds(double seconds) {
 absl::Status PacketResamplerCalculator::GetContract(CalculatorContract* cc) {
   const auto& resampler_options =
       cc->Options<PacketResamplerCalculatorOptions>();
-  if (cc->InputSidePackets().HasTag("OPTIONS")) {
-    cc->InputSidePackets().Tag("OPTIONS").Set<CalculatorOptions>();
+  if (cc->InputSidePackets().HasTag(kOptionsTag)) {
+    cc->InputSidePackets().Tag(kOptionsTag).Set<CalculatorOptions>();
   }
   CollectionItemId input_data_id = cc->Inputs().GetId("DATA", 0);
   if (!input_data_id.IsValid()) {
     input_data_id = cc->Inputs().GetId("", 0);
   }
   cc->Inputs().Get(input_data_id).SetAny();
-  if (cc->Inputs().HasTag("VIDEO_HEADER")) {
-    cc->Inputs().Tag("VIDEO_HEADER").Set<VideoHeader>();
+  if (cc->Inputs().HasTag(kVideoHeaderTag)) {
+    cc->Inputs().Tag(kVideoHeaderTag).Set<VideoHeader>();
   }
 
   CollectionItemId output_data_id = cc->Outputs().GetId("DATA", 0);
@@ -67,15 +72,15 @@ absl::Status PacketResamplerCalculator::GetContract(CalculatorContract* cc) {
     output_data_id = cc->Outputs().GetId("", 0);
   }
   cc->Outputs().Get(output_data_id).SetSameAs(&cc->Inputs().Get(input_data_id));
-  if (cc->Outputs().HasTag("VIDEO_HEADER")) {
-    cc->Outputs().Tag("VIDEO_HEADER").Set<VideoHeader>();
+  if (cc->Outputs().HasTag(kVideoHeaderTag)) {
+    cc->Outputs().Tag(kVideoHeaderTag).Set<VideoHeader>();
   }
 
   if (resampler_options.jitter() != 0.0) {
     RET_CHECK_GT(resampler_options.jitter(), 0.0);
     RET_CHECK_LE(resampler_options.jitter(), 1.0);
-    RET_CHECK(cc->InputSidePackets().HasTag("SEED"));
-    cc->InputSidePackets().Tag("SEED").Set<std::string>();
+    RET_CHECK(cc->InputSidePackets().HasTag(kSeedTag));
+    cc->InputSidePackets().Tag(kSeedTag).Set<std::string>();
   }
   return absl::OkStatus();
 }
@@ -143,9 +148,9 @@ absl::Status PacketResamplerCalculator::Open(CalculatorContext* cc) {
 
 absl::Status PacketResamplerCalculator::Process(CalculatorContext* cc) {
   if (cc->InputTimestamp() == Timestamp::PreStream() &&
-      cc->Inputs().UsesTags() && cc->Inputs().HasTag("VIDEO_HEADER") &&
-      !cc->Inputs().Tag("VIDEO_HEADER").IsEmpty()) {
-    video_header_ = cc->Inputs().Tag("VIDEO_HEADER").Get<VideoHeader>();
+      cc->Inputs().UsesTags() && cc->Inputs().HasTag(kVideoHeaderTag) &&
+      !cc->Inputs().Tag(kVideoHeaderTag).IsEmpty()) {
+    video_header_ = cc->Inputs().Tag(kVideoHeaderTag).Get<VideoHeader>();
     video_header_.frame_rate = frame_rate_;
     if (cc->Inputs().Get(input_data_id_).IsEmpty()) {
       return absl::OkStatus();
@@ -234,7 +239,7 @@ absl::Status LegacyJitterWithReflectionStrategy::Open(CalculatorContext* cc) {
                     "ignored, because we are adding jitter.";
   }
 
-  const auto& seed = cc->InputSidePackets().Tag("SEED").Get<std::string>();
+  const auto& seed = cc->InputSidePackets().Tag(kSeedTag).Get<std::string>();
   random_ = CreateSecureRandom(seed);
   if (random_ == nullptr) {
     return absl::InvalidArgumentError(
@@ -357,7 +362,7 @@ absl::Status ReproducibleJitterWithReflectionStrategy::Open(
                     "ignored, because we are adding jitter.";
   }
 
-  const auto& seed = cc->InputSidePackets().Tag("SEED").Get<std::string>();
+  const auto& seed = cc->InputSidePackets().Tag(kSeedTag).Get<std::string>();
   random_ = CreateSecureRandom(seed);
   if (random_ == nullptr) {
     return absl::InvalidArgumentError(
@@ -504,7 +509,7 @@ absl::Status JitterWithoutReflectionStrategy::Open(CalculatorContext* cc) {
                     "ignored, because we are adding jitter.";
   }
 
-  const auto& seed = cc->InputSidePackets().Tag("SEED").Get<std::string>();
+  const auto& seed = cc->InputSidePackets().Tag(kSeedTag).Get<std::string>();
   random_ = CreateSecureRandom(seed);
   if (random_ == nullptr) {
     return absl::InvalidArgumentError(
@@ -635,9 +640,9 @@ absl::Status NoJitterStrategy::Process(CalculatorContext* cc) {
           base_timestamp_ +
           TimestampDiffFromSeconds(first_index / calculator_->frame_rate_);
     }
-    if (cc->Outputs().UsesTags() && cc->Outputs().HasTag("VIDEO_HEADER")) {
+    if (cc->Outputs().UsesTags() && cc->Outputs().HasTag(kVideoHeaderTag)) {
       cc->Outputs()
-          .Tag("VIDEO_HEADER")
+          .Tag(kVideoHeaderTag)
           .Add(new VideoHeader(calculator_->video_header_),
                Timestamp::PreStream());
     }

mediapipe/calculators/core/packet_resampler_calculator_test.cc

@@ -32,6 +32,12 @@ namespace mediapipe {
 
 using ::testing::ElementsAre;
 namespace {
+
+constexpr char kOptionsTag[] = "OPTIONS";
+constexpr char kSeedTag[] = "SEED";
+constexpr char kVideoHeaderTag[] = "VIDEO_HEADER";
+constexpr char kDataTag[] = "DATA";
+
 // A simple version of CalculatorRunner with built-in convenience
 // methods for setting inputs from a vector and checking outputs
 // against expected outputs (both timestamps and contents).
@@ -452,7 +458,7 @@ TEST(PacketResamplerCalculatorTest, FrameRateTest) {
 }
 
 TEST(PacketResamplerCalculatorTest, SetVideoHeader) {
-  CalculatorRunner runner(ParseTextProtoOrDie<CalculatorGraphConfig::Node>(R"(
+  CalculatorRunner runner(ParseTextProtoOrDie<CalculatorGraphConfig::Node>(R"pb(
     calculator: "PacketResamplerCalculator"
     input_stream: "DATA:in_data"
     input_stream: "VIDEO_HEADER:in_video_header"
@@ -461,10 +467,10 @@ TEST(PacketResamplerCalculatorTest, SetVideoHeader) {
     options {
       [mediapipe.PacketResamplerCalculatorOptions.ext] { frame_rate: 50.0 }
     }
-  )"));
+  )pb"));
 
   for (const int64 ts : {0, 5000, 10010, 15001, 19990}) {
-    runner.MutableInputs()->Tag("DATA").packets.push_back(
+    runner.MutableInputs()->Tag(kDataTag).packets.push_back(
         Adopt(new std::string(absl::StrCat("Frame #", ts))).At(Timestamp(ts)));
   }
   VideoHeader video_header_in;
@@ -474,16 +480,16 @@ TEST(PacketResamplerCalculatorTest, SetVideoHeader) {
   video_header_in.duration = 1.0;
   video_header_in.format = ImageFormat::SRGB;
   runner.MutableInputs()
-      ->Tag("VIDEO_HEADER")
+      ->Tag(kVideoHeaderTag)
       .packets.push_back(
           Adopt(new VideoHeader(video_header_in)).At(Timestamp::PreStream()));
   MP_ASSERT_OK(runner.Run());
 
-  ASSERT_EQ(1, runner.Outputs().Tag("VIDEO_HEADER").packets.size());
+  ASSERT_EQ(1, runner.Outputs().Tag(kVideoHeaderTag).packets.size());
   EXPECT_EQ(Timestamp::PreStream(),
-            runner.Outputs().Tag("VIDEO_HEADER").packets[0].Timestamp());
+            runner.Outputs().Tag(kVideoHeaderTag).packets[0].Timestamp());
   const VideoHeader& video_header_out =
-      runner.Outputs().Tag("VIDEO_HEADER").packets[0].Get<VideoHeader>();
+      runner.Outputs().Tag(kVideoHeaderTag).packets[0].Get<VideoHeader>();
   EXPECT_EQ(video_header_in.width, video_header_out.width);
   EXPECT_EQ(video_header_in.height, video_header_out.height);
   EXPECT_DOUBLE_EQ(50.0, video_header_out.frame_rate);
@@ -705,7 +711,7 @@ TEST(PacketResamplerCalculatorTest, OutputTimestampRangeAligned) {
 
 TEST(PacketResamplerCalculatorTest, OptionsSidePacket) {
   CalculatorGraphConfig::Node node_config =
-      ParseTextProtoOrDie<CalculatorGraphConfig::Node>(R"(
+      ParseTextProtoOrDie<CalculatorGraphConfig::Node>(R"pb(
         calculator: "PacketResamplerCalculator"
         input_side_packet: "OPTIONS:options"
         input_stream: "input"
@@ -715,17 +721,17 @@ TEST(PacketResamplerCalculatorTest, OptionsSidePacket) {
             frame_rate: 60
             base_timestamp: 0
           }
-        })");
+        })pb");
 
   {
     SimpleRunner runner(node_config);
     auto options =
         new CalculatorOptions(ParseTextProtoOrDie<CalculatorOptions>(
-            R"(
+            R"pb(
               [mediapipe.PacketResamplerCalculatorOptions.ext] {
                 frame_rate: 30
-              })"));
-    runner.MutableSidePackets()->Tag("OPTIONS") = Adopt(options);
+              })pb"));
+    runner.MutableSidePackets()->Tag(kOptionsTag) = Adopt(options);
     runner.SetInput({-222, 15000, 32000, 49999, 150000});
     MP_ASSERT_OK(runner.Run());
     EXPECT_EQ(6, runner.Outputs().Index(0).packets.size());
@@ -734,13 +740,13 @@ TEST(PacketResamplerCalculatorTest, OptionsSidePacket) {
     SimpleRunner runner(node_config);
 
     auto options =
-        new CalculatorOptions(ParseTextProtoOrDie<CalculatorOptions>(R"(
+        new CalculatorOptions(ParseTextProtoOrDie<CalculatorOptions>(R"pb(
           merge_fields: false
           [mediapipe.PacketResamplerCalculatorOptions.ext] {
             frame_rate: 30
             base_timestamp: 0
-          })"));
-    runner.MutableSidePackets()->Tag("OPTIONS") = Adopt(options);
+          })pb"));
+    runner.MutableSidePackets()->Tag(kOptionsTag) = Adopt(options);
 
     runner.SetInput({-222, 15000, 32000, 49999, 150000});
     MP_ASSERT_OK(runner.Run());

mediapipe/calculators/core/packet_thinner_calculator_test.cc

@@ -29,6 +29,8 @@
 namespace mediapipe {
 namespace {
 
+constexpr char kPeriodTag[] = "PERIOD";
+
 // A simple version of CalculatorRunner with built-in convenience methods for
 // setting inputs from a vector and checking outputs against a vector of
 // expected outputs.
@@ -121,7 +123,7 @@ TEST(PacketThinnerCalculatorTest, ASyncUniformStreamThinningTestBySidePacket) {
 
   SimpleRunner runner(node);
   runner.SetInput({2, 4, 6, 8, 10, 12, 14});
-  runner.MutableSidePackets()->Tag("PERIOD") = MakePacket<int64>(5);
+  runner.MutableSidePackets()->Tag(kPeriodTag) = MakePacket<int64>(5);
   MP_ASSERT_OK(runner.Run());
 
   const std::vector<int64> expected_timestamps = {2, 8, 14};
@@ -160,7 +162,7 @@ TEST(PacketThinnerCalculatorTest, SyncUniformStreamThinningTestBySidePacket1) {
 
   SimpleRunner runner(node);
   runner.SetInput({2, 4, 6, 8, 10, 12, 14});
-  runner.MutableSidePackets()->Tag("PERIOD") = MakePacket<int64>(5);
+  runner.MutableSidePackets()->Tag(kPeriodTag) = MakePacket<int64>(5);
   MP_ASSERT_OK(runner.Run());
 
   const std::vector<int64> expected_timestamps = {2, 6, 10, 14};

mediapipe/calculators/core/previous_loopback_calculator_test.cc

@@ -39,6 +39,8 @@ using ::testing::Pair;
 using ::testing::Value;
 namespace {
 
+constexpr char kDisallowTag[] = "DISALLOW";
+
 // Returns the timestamp values for a vector of Packets.
 // TODO: puth this kind of test util in a common place.
 std::vector<int64> TimestampValues(const std::vector<Packet>& packets) {
@@ -69,7 +71,7 @@ MATCHER_P2(PairPacket, timestamp, pair, "") {
 TEST(PreviousLoopbackCalculator, CorrectTimestamps) {
   std::vector<Packet> in_prev;
   CalculatorGraphConfig graph_config_ =
-      ParseTextProtoOrDie<CalculatorGraphConfig>(R"(
+      ParseTextProtoOrDie<CalculatorGraphConfig>(R"pb(
         input_stream: 'in'
         node {
           calculator: 'PreviousLoopbackCalculator'
@@ -93,7 +95,7 @@ TEST(PreviousLoopbackCalculator, CorrectTimestamps) {
           input_stream: 'previous2'
           output_stream: 'pair'
         }
-      )");
+      )pb");
   tool::AddVectorSink("pair", &graph_config_, &in_prev);
 
   CalculatorGraph graph_;
@@ -169,7 +171,7 @@ REGISTER_CALCULATOR(PacketOnCloseCalculator);
 TEST(PreviousLoopbackCalculator, ClosesCorrectly) {
   std::vector<Packet> outputs;
   CalculatorGraphConfig graph_config_ =
-      ParseTextProtoOrDie<CalculatorGraphConfig>(R"(
+      ParseTextProtoOrDie<CalculatorGraphConfig>(R"pb(
         input_stream: 'in'
         node {
           calculator: 'PreviousLoopbackCalculator'
@@ -192,7 +194,7 @@ TEST(PreviousLoopbackCalculator, ClosesCorrectly) {
           input_stream: 'out'
           output_stream: 'close_out'
         }
-      )");
+      )pb");
   tool::AddVectorSink("close_out", &graph_config_, &outputs);
 
   CalculatorGraph graph_;
@@ -231,7 +233,7 @@ TEST(PreviousLoopbackCalculator, ClosesCorrectly) {
 TEST(PreviousLoopbackCalculator, ProcessesMaxTimestamp) {
   std::vector<Packet> out_and_previous_packets;
   CalculatorGraphConfig graph_config =
-      ParseTextProtoOrDie<CalculatorGraphConfig>(R"(
+      ParseTextProtoOrDie<CalculatorGraphConfig>(R"pb(
         input_stream: 'in'
         node {
           calculator: 'PreviousLoopbackCalculator'
@@ -253,7 +255,7 @@ TEST(PreviousLoopbackCalculator, ProcessesMaxTimestamp) {
           input_stream: 'previous'
           output_stream: 'out_and_previous'
         }
-      )");
+      )pb");
   tool::AddVectorSink("out_and_previous", &graph_config,
                       &out_and_previous_packets);
 
@@ -278,7 +280,7 @@ TEST(PreviousLoopbackCalculator, ProcessesMaxTimestamp) {
 TEST(PreviousLoopbackCalculator, ProcessesMaxTimestampNonEmptyPrevious) {
   std::vector<Packet> out_and_previous_packets;
   CalculatorGraphConfig graph_config =
-      ParseTextProtoOrDie<CalculatorGraphConfig>(R"(
+      ParseTextProtoOrDie<CalculatorGraphConfig>(R"pb(
         input_stream: 'in'
         node {
           calculator: 'PreviousLoopbackCalculator'
@@ -300,7 +302,7 @@ TEST(PreviousLoopbackCalculator, ProcessesMaxTimestampNonEmptyPrevious) {
           input_stream: 'previous'
           output_stream: 'out_and_previous'
         }
-      )");
+      )pb");
   tool::AddVectorSink("out_and_previous", &graph_config,
                       &out_and_previous_packets);
 
@@ -331,7 +333,7 @@ TEST(PreviousLoopbackCalculator, ProcessesMaxTimestampNonEmptyPrevious) {
 TEST(PreviousLoopbackCalculator, EmptyLoopForever) {
   std::vector<Packet> outputs;
   CalculatorGraphConfig graph_config_ =
-      ParseTextProtoOrDie<CalculatorGraphConfig>(R"(
+      ParseTextProtoOrDie<CalculatorGraphConfig>(R"pb(
         input_stream: 'in'
         node {
           calculator: 'PreviousLoopbackCalculator'
@@ -354,7 +356,7 @@ TEST(PreviousLoopbackCalculator, EmptyLoopForever) {
           input_stream: 'out'
           output_stream: 'close_out'
         }
-      )");
+      )pb");
   tool::AddVectorSink("close_out", &graph_config_, &outputs);
 
   CalculatorGraph graph_;
@@ -386,7 +388,7 @@ class PreviousLoopbackCalculatorProcessingTimestampsTest
  protected:
   void SetUp() override {
     CalculatorGraphConfig graph_config =
-        ParseTextProtoOrDie<CalculatorGraphConfig>(R"(
+        ParseTextProtoOrDie<CalculatorGraphConfig>(R"pb(
           input_stream: 'input'
           input_stream: 'force_main_empty'
           input_stream: 'force_loop_empty'
@@ -424,7 +426,7 @@ class PreviousLoopbackCalculatorProcessingTimestampsTest
             input_stream: 'passed_through_prev_loop'
             output_stream: 'passed_through_input_and_prev_loop'
           }
-        )");
+        )pb");
     tool::AddVectorSink("passed_through_input_and_prev_loop", &graph_config,
                         &output_packets_);
     MP_ASSERT_OK(graph_.Initialize(graph_config, {}));
@@ -702,14 +704,14 @@ class DroppingGateCalculator : public CalculatorBase {
  public:
   static absl::Status GetContract(CalculatorContract* cc) {
     cc->Inputs().Index(0).SetAny();
-    cc->Inputs().Tag("DISALLOW").Set<bool>();
+    cc->Inputs().Tag(kDisallowTag).Set<bool>();
     cc->Outputs().Index(0).SetSameAs(&cc->Inputs().Index(0));
     return absl::OkStatus();
   }
 
   absl::Status Process(CalculatorContext* cc) final {
     if (!cc->Inputs().Index(0).IsEmpty() &&
-        !cc->Inputs().Tag("DISALLOW").Get<bool>()) {
+        !cc->Inputs().Tag(kDisallowTag).Get<bool>()) {
       cc->Outputs().Index(0).AddPacket(cc->Inputs().Index(0).Value());
     }
     return absl::OkStatus();
@@ -724,7 +726,7 @@ class PreviousLoopbackCalculatorDelayBehaviorTest : public testing::Test {
  protected:
   void SetUp() override {
     CalculatorGraphConfig graph_config =
-        ParseTextProtoOrDie<CalculatorGraphConfig>(R"(
+        ParseTextProtoOrDie<CalculatorGraphConfig>(R"pb(
           input_stream: 'input'
           # Drops "loop" when set to "true", delaying output of prev_loop, hence
           # delaying output of the graph.
@@ -755,7 +757,7 @@ class PreviousLoopbackCalculatorDelayBehaviorTest : public testing::Test {
             input_stream: 'passed_through_prev_loop'
             output_stream: 'passed_through_input_and_prev_loop'
           }
-        )");
+        )pb");
     tool::AddVectorSink("passed_through_input_and_prev_loop", &graph_config,
                         &output_packets_);
     MP_ASSERT_OK(graph_.Initialize(graph_config, {}));

mediapipe/calculators/core/quantize_float_vector_calculator.cc

@@ -41,11 +41,14 @@
 //   }
 namespace mediapipe {
 
+constexpr char kEncodedTag[] = "ENCODED";
+constexpr char kFloatVectorTag[] = "FLOAT_VECTOR";
+
 class QuantizeFloatVectorCalculator : public CalculatorBase {
  public:
   static absl::Status GetContract(CalculatorContract* cc) {
-    cc->Inputs().Tag("FLOAT_VECTOR").Set<std::vector<float>>();
-    cc->Outputs().Tag("ENCODED").Set<std::string>();
+    cc->Inputs().Tag(kFloatVectorTag).Set<std::vector<float>>();
+    cc->Outputs().Tag(kEncodedTag).Set<std::string>();
     return absl::OkStatus();
   }
 
@@ -70,7 +73,7 @@ class QuantizeFloatVectorCalculator : public CalculatorBase {
 
   absl::Status Process(CalculatorContext* cc) final {
     const std::vector<float>& float_vector =
-        cc->Inputs().Tag("FLOAT_VECTOR").Value().Get<std::vector<float>>();
+        cc->Inputs().Tag(kFloatVectorTag).Value().Get<std::vector<float>>();
     int feature_size = float_vector.size();
     std::string encoded_features;
     encoded_features.reserve(feature_size);
@@ -86,8 +89,10 @@ class QuantizeFloatVectorCalculator : public CalculatorBase {
           (old_value - min_quantized_value_) * (255.0 / range_));
       encoded_features += encoded;
     }
-    cc->Outputs().Tag("ENCODED").AddPacket(
-        MakePacket<std::string>(encoded_features).At(cc->InputTimestamp()));
+    cc->Outputs()
+        .Tag(kEncodedTag)
+        .AddPacket(
+            MakePacket<std::string>(encoded_features).At(cc->InputTimestamp()));
     return absl::OkStatus();
   }
 

mediapipe/calculators/core/quantize_float_vector_calculator_test.cc

@@ -25,9 +25,12 @@
 
 namespace mediapipe {
 
+constexpr char kEncodedTag[] = "ENCODED";
+constexpr char kFloatVectorTag[] = "FLOAT_VECTOR";
+
 TEST(QuantizeFloatVectorCalculatorTest, WrongConfig) {
   CalculatorGraphConfig::Node node_config =
-      ParseTextProtoOrDie<CalculatorGraphConfig::Node>(R"(
+      ParseTextProtoOrDie<CalculatorGraphConfig::Node>(R"pb(
         calculator: "QuantizeFloatVectorCalculator"
         input_stream: "FLOAT_VECTOR:float_vector"
         output_stream: "ENCODED:encoded"
@@ -36,11 +39,11 @@ TEST(QuantizeFloatVectorCalculatorTest, WrongConfig) {
             min_quantized_value: 1
           }
         }
-      )");
+      )pb");
   CalculatorRunner runner(node_config);
   std::vector<float> empty_vector;
   runner.MutableInputs()
-      ->Tag("FLOAT_VECTOR")
+      ->Tag(kFloatVectorTag)
       .packets.push_back(
           MakePacket<std::vector<float>>(empty_vector).At(Timestamp(0)));
   auto status = runner.Run();
@@ -53,7 +56,7 @@ TEST(QuantizeFloatVectorCalculatorTest, WrongConfig) {
 
 TEST(QuantizeFloatVectorCalculatorTest, WrongConfig2) {
   CalculatorGraphConfig::Node node_config =
-      ParseTextProtoOrDie<CalculatorGraphConfig::Node>(R"(
+      ParseTextProtoOrDie<CalculatorGraphConfig::Node>(R"pb(
         calculator: "QuantizeFloatVectorCalculator"
         input_stream: "FLOAT_VECTOR:float_vector"
         output_stream: "ENCODED:encoded"
@@ -63,11 +66,11 @@ TEST(QuantizeFloatVectorCalculatorTest, WrongConfig2) {
             min_quantized_value: 1
           }
         }
-      )");
+      )pb");
   CalculatorRunner runner(node_config);
   std::vector<float> empty_vector;
   runner.MutableInputs()
-      ->Tag("FLOAT_VECTOR")
+      ->Tag(kFloatVectorTag)
       .packets.push_back(
           MakePacket<std::vector<float>>(empty_vector).At(Timestamp(0)));
   auto status = runner.Run();
@@ -80,7 +83,7 @@ TEST(QuantizeFloatVectorCalculatorTest, WrongConfig2) {
 
 TEST(QuantizeFloatVectorCalculatorTest, WrongConfig3) {
   CalculatorGraphConfig::Node node_config =
-      ParseTextProtoOrDie<CalculatorGraphConfig::Node>(R"(
+      ParseTextProtoOrDie<CalculatorGraphConfig::Node>(R"pb(
         calculator: "QuantizeFloatVectorCalculator"
         input_stream: "FLOAT_VECTOR:float_vector"
         output_stream: "ENCODED:encoded"
@@ -90,11 +93,11 @@ TEST(QuantizeFloatVectorCalculatorTest, WrongConfig3) {
             min_quantized_value: 1
           }
         }
-      )");
+      )pb");
   CalculatorRunner runner(node_config);
   std::vector<float> empty_vector;
   runner.MutableInputs()
-      ->Tag("FLOAT_VECTOR")
+      ->Tag(kFloatVectorTag)
       .packets.push_back(
           MakePacket<std::vector<float>>(empty_vector).At(Timestamp(0)));
   auto status = runner.Run();
@@ -107,7 +110,7 @@ TEST(QuantizeFloatVectorCalculatorTest, WrongConfig3) {
 
 TEST(QuantizeFloatVectorCalculatorTest, TestEmptyVector) {
   CalculatorGraphConfig::Node node_config =
-      ParseTextProtoOrDie<CalculatorGraphConfig::Node>(R"(
+      ParseTextProtoOrDie<CalculatorGraphConfig::Node>(R"pb(
         calculator: "QuantizeFloatVectorCalculator"
         input_stream: "FLOAT_VECTOR:float_vector"
         output_stream: "ENCODED:encoded"
@@ -117,15 +120,16 @@ TEST(QuantizeFloatVectorCalculatorTest, TestEmptyVector) {
             min_quantized_value: -1
           }
         }
-      )");
+      )pb");
   CalculatorRunner runner(node_config);
   std::vector<float> empty_vector;
   runner.MutableInputs()
-      ->Tag("FLOAT_VECTOR")
+      ->Tag(kFloatVectorTag)
       .packets.push_back(
           MakePacket<std::vector<float>>(empty_vector).At(Timestamp(0)));
   MP_ASSERT_OK(runner.Run());
-  const std::vector<Packet>& outputs = runner.Outputs().Tag("ENCODED").packets;
+  const std::vector<Packet>& outputs =
+      runner.Outputs().Tag(kEncodedTag).packets;
   EXPECT_EQ(1, outputs.size());
   EXPECT_TRUE(outputs[0].Get<std::string>().empty());
   EXPECT_EQ(Timestamp(0), outputs[0].Timestamp());
@@ -133,7 +137,7 @@ TEST(QuantizeFloatVectorCalculatorTest, TestEmptyVector) {
 
 TEST(QuantizeFloatVectorCalculatorTest, TestNonEmptyVector) {
   CalculatorGraphConfig::Node node_config =
-      ParseTextProtoOrDie<CalculatorGraphConfig::Node>(R"(
+      ParseTextProtoOrDie<CalculatorGraphConfig::Node>(R"pb(
         calculator: "QuantizeFloatVectorCalculator"
         input_stream: "FLOAT_VECTOR:float_vector"
         output_stream: "ENCODED:encoded"
@@ -143,15 +147,16 @@ TEST(QuantizeFloatVectorCalculatorTest, TestNonEmptyVector) {
             min_quantized_value: -64
           }
         }
-      )");
+      )pb");
   CalculatorRunner runner(node_config);
   std::vector<float> vector = {0.0f, -64.0f, 64.0f, -32.0f, 32.0f};
   runner.MutableInputs()
-      ->Tag("FLOAT_VECTOR")
+      ->Tag(kFloatVectorTag)
       .packets.push_back(
           MakePacket<std::vector<float>>(vector).At(Timestamp(0)));
   MP_ASSERT_OK(runner.Run());
-  const std::vector<Packet>& outputs = runner.Outputs().Tag("ENCODED").packets;
+  const std::vector<Packet>& outputs =
+      runner.Outputs().Tag(kEncodedTag).packets;
   EXPECT_EQ(1, outputs.size());
   const std::string& result = outputs[0].Get<std::string>();
   ASSERT_FALSE(result.empty());
@@ -171,7 +176,7 @@ TEST(QuantizeFloatVectorCalculatorTest, TestNonEmptyVector) {
 
 TEST(QuantizeFloatVectorCalculatorTest, TestSaturation) {
   CalculatorGraphConfig::Node node_config =
-      ParseTextProtoOrDie<CalculatorGraphConfig::Node>(R"(
+      ParseTextProtoOrDie<CalculatorGraphConfig::Node>(R"pb(
         calculator: "QuantizeFloatVectorCalculator"
         input_stream: "FLOAT_VECTOR:float_vector"
         output_stream: "ENCODED:encoded"
@@ -181,15 +186,16 @@ TEST(QuantizeFloatVectorCalculatorTest, TestSaturation) {
             min_quantized_value: -64
           }
         }
-      )");
+      )pb");
   CalculatorRunner runner(node_config);
   std::vector<float> vector = {-65.0f, 65.0f};
   runner.MutableInputs()
-      ->Tag("FLOAT_VECTOR")
+      ->Tag(kFloatVectorTag)
       .packets.push_back(
           MakePacket<std::vector<float>>(vector).At(Timestamp(0)));
   MP_ASSERT_OK(runner.Run());
-  const std::vector<Packet>& outputs = runner.Outputs().Tag("ENCODED").packets;
+  const std::vector<Packet>& outputs =
+      runner.Outputs().Tag(kEncodedTag).packets;
   EXPECT_EQ(1, outputs.size());
   const std::string& result = outputs[0].Get<std::string>();
   ASSERT_FALSE(result.empty());

mediapipe/calculators/core/real_time_flow_limiter_calculator.cc

@@ -23,6 +23,9 @@
 
 namespace mediapipe {
 
+constexpr char kAllowTag[] = "ALLOW";
+constexpr char kMaxInFlightTag[] = "MAX_IN_FLIGHT";
+
 // RealTimeFlowLimiterCalculator is used to limit the number of pipelined
 // processing operations in a section of the graph.
 //
@@ -86,11 +89,11 @@ class RealTimeFlowLimiterCalculator : public CalculatorBase {
       cc->Outputs().Get("", i).SetSameAs(&(cc->Inputs().Get("", i)));
     }
     cc->Inputs().Get("FINISHED", 0).SetAny();
-    if (cc->InputSidePackets().HasTag("MAX_IN_FLIGHT")) {
-      cc->InputSidePackets().Tag("MAX_IN_FLIGHT").Set<int>();
+    if (cc->InputSidePackets().HasTag(kMaxInFlightTag)) {
+      cc->InputSidePackets().Tag(kMaxInFlightTag).Set<int>();
     }
-    if (cc->Outputs().HasTag("ALLOW")) {
-      cc->Outputs().Tag("ALLOW").Set<bool>();
+    if (cc->Outputs().HasTag(kAllowTag)) {
+      cc->Outputs().Tag(kAllowTag).Set<bool>();
     }
 
     cc->SetInputStreamHandler("ImmediateInputStreamHandler");
@@ -101,8 +104,8 @@ class RealTimeFlowLimiterCalculator : public CalculatorBase {
   absl::Status Open(CalculatorContext* cc) final {
     finished_id_ = cc->Inputs().GetId("FINISHED", 0);
     max_in_flight_ = 1;
-    if (cc->InputSidePackets().HasTag("MAX_IN_FLIGHT")) {
-      max_in_flight_ = cc->InputSidePackets().Tag("MAX_IN_FLIGHT").Get<int>();
+    if (cc->InputSidePackets().HasTag(kMaxInFlightTag)) {
+      max_in_flight_ = cc->InputSidePackets().Tag(kMaxInFlightTag).Get<int>();
     }
     RET_CHECK_GE(max_in_flight_, 1);
     num_in_flight_ = 0;

mediapipe/calculators/core/real_time_flow_limiter_calculator_test.cc

@@ -33,6 +33,9 @@
 namespace mediapipe {
 
 namespace {
+
+constexpr char kFinishedTag[] = "FINISHED";
+
 // A simple Semaphore for synchronizing test threads.
 class AtomicSemaphore {
  public:
@@ -70,13 +73,13 @@ std::vector<T> PacketValues(const std::vector<Packet>& packets) {
 constexpr int kNumImageFrames = 5;
 constexpr int kNumFinished = 3;
 CalculatorGraphConfig::Node GetDefaultNode() {
-  return ParseTextProtoOrDie<CalculatorGraphConfig::Node>(R"(
+  return ParseTextProtoOrDie<CalculatorGraphConfig::Node>(R"pb(
     calculator: "RealTimeFlowLimiterCalculator"
     input_stream: "raw_frames"
     input_stream: "FINISHED:finished"
     input_stream_info: { tag_index: "FINISHED" back_edge: true }
     output_stream: "gated_frames"
-  )");
+  )pb");
 }
 
 // Simple test to make sure that the RealTimeFlowLimiterCalculator outputs just
@@ -112,7 +115,7 @@ TEST(RealTimeFlowLimiterCalculator, BasicTest) {
     Timestamp timestamp =
         Timestamp((i + 1) * Timestamp::kTimestampUnitsPerSecond);
     runner.MutableInputs()
-        ->Tag("FINISHED")
+        ->Tag(kFinishedTag)
         .packets.push_back(MakePacket<bool>(true).At(timestamp));
   }
 
@@ -219,7 +222,7 @@ class RealTimeFlowLimiterCalculatorTest : public testing::Test {
   // Back-edge "finished" limits processing to one frame in-flight.
   // The two LambdaCalculators are used to keep certain packet sets in flight.
   CalculatorGraphConfig InflightGraphConfig() {
-    return ParseTextProtoOrDie<CalculatorGraphConfig>(R"(
+    return ParseTextProtoOrDie<CalculatorGraphConfig>(R"pb(
       input_stream: 'in_1'
       input_stream: 'in_2'
       node {
@@ -256,7 +259,7 @@ class RealTimeFlowLimiterCalculatorTest : public testing::Test {
         output_stream: 'out_1'
         output_stream: 'out_2'
       }
-    )");
+    )pb");
   }
 
  protected:
@@ -344,7 +347,7 @@ TEST(RealTimeFlowLimiterCalculator, TwoStreams) {
   std::vector<Packet> a_passed;
   std::vector<Packet> b_passed;
   CalculatorGraphConfig graph_config_ =
-      ParseTextProtoOrDie<CalculatorGraphConfig>(R"(
+      ParseTextProtoOrDie<CalculatorGraphConfig>(R"pb(
         input_stream: 'in_a'
         input_stream: 'in_b'
         input_stream: 'finished'
@@ -360,7 +363,7 @@ TEST(RealTimeFlowLimiterCalculator, TwoStreams) {
           output_stream: 'in_b_sampled'
           output_stream: 'ALLOW:allow'
         }
-      )");
+      )pb");
   std::string allow_cb_name;
   tool::AddVectorSink("in_a_sampled", &graph_config_, &a_passed);
   tool::AddVectorSink("in_b_sampled", &graph_config_, &b_passed);
@@ -442,7 +445,7 @@ TEST(RealTimeFlowLimiterCalculator, TwoStreams) {
 TEST(RealTimeFlowLimiterCalculator, CanConsume) {
   std::vector<Packet> in_sampled_packets_;
   CalculatorGraphConfig graph_config_ =
-      ParseTextProtoOrDie<CalculatorGraphConfig>(R"(
+      ParseTextProtoOrDie<CalculatorGraphConfig>(R"pb(
         input_stream: 'in'
         input_stream: 'finished'
         node {
@@ -455,7 +458,7 @@ TEST(RealTimeFlowLimiterCalculator, CanConsume) {
           output_stream: 'in_sampled'
           output_stream: 'ALLOW:allow'
         }
-      )");
+      )pb");
   std::string allow_cb_name;
   tool::AddVectorSink("in_sampled", &graph_config_, &in_sampled_packets_);
   tool::AddCallbackCalculator("allow", &graph_config_, &allow_cb_name, true);

mediapipe/calculators/core/sequence_shift_calculator_test.cc

@@ -22,6 +22,8 @@ namespace mediapipe {
 
 namespace {
 
+constexpr char kPacketOffsetTag[] = "PACKET_OFFSET";
+
 // Adds packets containing integers equal to their original timestamp.
 void AddPackets(CalculatorRunner* runner) {
   for (int i = 0; i < 10; ++i) {
@@ -111,7 +113,7 @@ TEST(SequenceShiftCalculatorTest, SidePacketOffset) {
 
   CalculatorRunner runner(node);
   AddPackets(&runner);
-  runner.MutableSidePackets()->Tag("PACKET_OFFSET") = Adopt(new int(-2));
+  runner.MutableSidePackets()->Tag(kPacketOffsetTag) = Adopt(new int(-2));
   MP_ASSERT_OK(runner.Run());
   const std::vector<Packet>& input_packets =
       runner.MutableInputs()->Index(0).packets;

mediapipe/calculators/core/side_packet_to_stream_calculator_test.cc

@@ -36,7 +36,7 @@ using testing::HasSubstr;
 TEST(SidePacketToStreamCalculator, WrongConfig_MissingTick) {
   CalculatorGraphConfig graph_config =
       ParseTextProtoOrDie<CalculatorGraphConfig>(
-          R"(
+          R"pb(
             input_stream: "tick"
             input_side_packet: "side_packet"
             output_stream: "packet"
@@ -45,7 +45,7 @@ TEST(SidePacketToStreamCalculator, WrongConfig_MissingTick) {
               input_side_packet: "side_packet"
               output_stream: "AT_TICK:packet"
             }
-          )");
+          )pb");
   CalculatorGraph graph;
   auto status = graph.Initialize(graph_config);
   EXPECT_FALSE(status.ok());
@@ -58,7 +58,7 @@ TEST(SidePacketToStreamCalculator, WrongConfig_MissingTick) {
 TEST(SidePacketToStreamCalculator, WrongConfig_MissingTimestampSideInput) {
   CalculatorGraphConfig graph_config =
       ParseTextProtoOrDie<CalculatorGraphConfig>(
-          R"(
+          R"pb(
             input_stream: "timestamp"
             input_side_packet: "side_packet"
             output_stream: "packet"
@@ -67,7 +67,7 @@ TEST(SidePacketToStreamCalculator, WrongConfig_MissingTimestampSideInput) {
               input_side_packet: "side_packet"
               output_stream: "AT_TIMESTAMP:packet"
             }
-          )");
+          )pb");
   CalculatorGraph graph;
   auto status = graph.Initialize(graph_config);
   EXPECT_FALSE(status.ok());
@@ -79,7 +79,7 @@ TEST(SidePacketToStreamCalculator, WrongConfig_MissingTimestampSideInput) {
 TEST(SidePacketToStreamCalculator, WrongConfig_NonExistentTag) {
   CalculatorGraphConfig graph_config =
       ParseTextProtoOrDie<CalculatorGraphConfig>(
-          R"(
+          R"pb(
             input_stream: "tick"
             input_side_packet: "side_packet"
             output_stream: "packet"
@@ -88,7 +88,7 @@ TEST(SidePacketToStreamCalculator, WrongConfig_NonExistentTag) {
               input_side_packet: "side_packet"
               output_stream: "DOES_NOT_EXIST:packet"
             }
-          )");
+          )pb");
   CalculatorGraph graph;
   auto status = graph.Initialize(graph_config);
   EXPECT_FALSE(status.ok());
@@ -102,7 +102,7 @@ TEST(SidePacketToStreamCalculator, WrongConfig_NonExistentTag) {
 TEST(SidePacketToStreamCalculator, WrongConfig_MixedTags) {
   CalculatorGraphConfig graph_config =
       ParseTextProtoOrDie<CalculatorGraphConfig>(
-          R"(
+          R"pb(
             input_stream: "tick"
             input_side_packet: "side_packet0"
             input_side_packet: "side_packet1"
@@ -113,7 +113,7 @@ TEST(SidePacketToStreamCalculator, WrongConfig_MixedTags) {
               output_stream: "AT_TICK:packet0"
               output_stream: "AT_PRE_STREAM:packet1"
             }
-          )");
+          )pb");
   CalculatorGraph graph;
   auto status = graph.Initialize(graph_config);
   EXPECT_FALSE(status.ok());
@@ -127,7 +127,7 @@ TEST(SidePacketToStreamCalculator, WrongConfig_MixedTags) {
 TEST(SidePacketToStreamCalculator, WrongConfig_NotEnoughSidePackets) {
   CalculatorGraphConfig graph_config =
       ParseTextProtoOrDie<CalculatorGraphConfig>(
-          R"(
+          R"pb(
             input_side_packet: "side_packet0"
             input_side_packet: "side_packet1"
             node {
@@ -136,7 +136,7 @@ TEST(SidePacketToStreamCalculator, WrongConfig_NotEnoughSidePackets) {
               output_stream: "AT_PRESTREAM:0:packet0"
               output_stream: "AT_PRESTREAM:1:packet1"
             }
-          )");
+          )pb");
   CalculatorGraph graph;
   auto status = graph.Initialize(graph_config);
   EXPECT_FALSE(status.ok());
@@ -149,7 +149,7 @@ TEST(SidePacketToStreamCalculator, WrongConfig_NotEnoughSidePackets) {
 TEST(SidePacketToStreamCalculator, WrongConfig_NotEnoughOutputStreams) {
   CalculatorGraphConfig graph_config =
       ParseTextProtoOrDie<CalculatorGraphConfig>(
-          R"(
+          R"pb(
             input_side_packet: "side_packet0"
             input_side_packet: "side_packet1"
             node {
@@ -158,7 +158,7 @@ TEST(SidePacketToStreamCalculator, WrongConfig_NotEnoughOutputStreams) {
               input_side_packet: "side_packet1"
               output_stream: "AT_PRESTREAM:packet0"
             }
-          )");
+          )pb");
   CalculatorGraph graph;
   auto status = graph.Initialize(graph_config);
   EXPECT_FALSE(status.ok());
@@ -209,7 +209,7 @@ TEST(SidePacketToStreamCalculator, NoAtTickOutputTags) {
 TEST(SidePacketToStreamCalculator, AtTick) {
   CalculatorGraphConfig graph_config =
       ParseTextProtoOrDie<CalculatorGraphConfig>(
-          R"(
+          R"pb(
             input_stream: "tick"
             input_side_packet: "side_packet"
             output_stream: "packet"
@@ -219,7 +219,7 @@ TEST(SidePacketToStreamCalculator, AtTick) {
               input_side_packet: "side_packet"
               output_stream: "AT_TICK:packet"
             }
-          )");
+          )pb");
   std::vector<Packet> output_packets;
   tool::AddVectorSink("packet", &graph_config, &output_packets);
   CalculatorGraph graph;
@@ -251,7 +251,7 @@ TEST(SidePacketToStreamCalculator, AtTick) {
 TEST(SidePacketToStreamCalculator, AtTick_MultipleSidePackets) {
   CalculatorGraphConfig graph_config =
       ParseTextProtoOrDie<CalculatorGraphConfig>(
-          R"(
+          R"pb(
             input_stream: "tick"
             input_side_packet: "side_packet0"
             input_side_packet: "side_packet1"
@@ -265,7 +265,7 @@ TEST(SidePacketToStreamCalculator, AtTick_MultipleSidePackets) {
               output_stream: "AT_TICK:0:packet0"
               output_stream: "AT_TICK:1:packet1"
             }
-          )");
+          )pb");
   std::vector<Packet> output_packets0;
   tool::AddVectorSink("packet0", &graph_config, &output_packets0);
   std::vector<Packet> output_packets1;
@@ -305,7 +305,7 @@ TEST(SidePacketToStreamCalculator, AtTick_MultipleSidePackets) {
 TEST(SidePacketToStreamCalculator, AtTimestamp) {
   CalculatorGraphConfig graph_config =
       ParseTextProtoOrDie<CalculatorGraphConfig>(
-          R"(
+          R"pb(
             input_side_packet: "timestamp"
             input_side_packet: "side_packet"
             output_stream: "packet"
@@ -315,7 +315,7 @@ TEST(SidePacketToStreamCalculator, AtTimestamp) {
               input_side_packet: "side_packet"
               output_stream: "AT_TIMESTAMP:packet"
             }
-          )");
+          )pb");
   std::vector<Packet> output_packets;
   tool::AddVectorSink("packet", &graph_config, &output_packets);
   CalculatorGraph graph;
@@ -337,7 +337,7 @@ TEST(SidePacketToStreamCalculator, AtTimestamp) {
 TEST(SidePacketToStreamCalculator, AtTimestamp_MultipleOutputs) {
   CalculatorGraphConfig graph_config =
       ParseTextProtoOrDie<CalculatorGraphConfig>(
-          R"(
+          R"pb(
             input_side_packet: "timestamp"
             input_side_packet: "side_packet0"
             input_side_packet: "side_packet1"
@@ -350,7 +350,7 @@ TEST(SidePacketToStreamCalculator, AtTimestamp_MultipleOutputs) {
               output_stream: "AT_TIMESTAMP:0:packet0"
               output_stream: "AT_TIMESTAMP:1:packet1"
             }
-          )");
+          )pb");
   std::vector<Packet> output_packets0;
   tool::AddVectorSink("packet0", &graph_config, &output_packets0);
   std::vector<Packet> output_packets1;

mediapipe/calculators/core/split_landmarks_calculator.cc

@@ -12,8 +12,8 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef MEDIAPIPE_CALCULATORS_CORE_SPLIT_NORMALIZED_LANDMARK_LIST_CALCULATOR_H_  // NOLINT
-#define MEDIAPIPE_CALCULATORS_CORE_SPLIT_NORMALIZED_LANDMARK_LIST_CALCULATOR_H_  // NOLINT
+#ifndef MEDIAPIPE_CALCULATORS_CORE_SPLIT_LANDMARKS_CALCULATOR_H_  // NOLINT
+#define MEDIAPIPE_CALCULATORS_CORE_SPLIT_LANDMARKS_CALCULATOR_H_  // NOLINT
 
 #include "mediapipe/calculators/core/split_vector_calculator.pb.h"
 #include "mediapipe/framework/calculator_framework.h"
@@ -24,29 +24,30 @@
 
 namespace mediapipe {
 
-// Splits an input packet with NormalizedLandmarkList into
-// multiple NormalizedLandmarkList output packets using the [begin, end) ranges
+// Splits an input packet with LandmarkListType into
+// multiple LandmarkListType output packets using the [begin, end) ranges
 // specified in SplitVectorCalculatorOptions. If the option "element_only" is
 // set to true, all ranges should be of size 1 and all outputs will be elements
-// of type NormalizedLandmark. If "element_only" is false, ranges can be
-// non-zero in size and all outputs will be of type NormalizedLandmarkList.
+// of type LandmarkType. If "element_only" is false, ranges can be
+// non-zero in size and all outputs will be of type LandmarkListType.
 // If the option "combine_outputs" is set to true, only one output stream can be
 // specified and all ranges of elements will be combined into one
-// NormalizedLandmarkList.
-class SplitNormalizedLandmarkListCalculator : public CalculatorBase {
+// LandmarkListType.
+template <typename LandmarkType, typename LandmarkListType>
+class SplitLandmarksCalculator : public CalculatorBase {
  public:
   static absl::Status GetContract(CalculatorContract* cc) {
     RET_CHECK(cc->Inputs().NumEntries() == 1);
     RET_CHECK(cc->Outputs().NumEntries() != 0);
 
-    cc->Inputs().Index(0).Set<NormalizedLandmarkList>();
+    cc->Inputs().Index(0).Set<LandmarkListType>();
 
     const auto& options =
         cc->Options<::mediapipe::SplitVectorCalculatorOptions>();
 
     if (options.combine_outputs()) {
       RET_CHECK_EQ(cc->Outputs().NumEntries(), 1);
-      cc->Outputs().Index(0).Set<NormalizedLandmarkList>();
+      cc->Outputs().Index(0).Set<LandmarkListType>();
       for (int i = 0; i < options.ranges_size() - 1; ++i) {
         for (int j = i + 1; j < options.ranges_size(); ++j) {
           const auto& range_0 = options.ranges(i);
@@ -81,9 +82,9 @@ class SplitNormalizedLandmarkListCalculator : public CalculatorBase {
             return absl::InvalidArgumentError(
                 "Since element_only is true, all ranges should be of size 1.");
           }
-          cc->Outputs().Index(i).Set<NormalizedLandmark>();
+          cc->Outputs().Index(i).Set<LandmarkType>();
         } else {
-          cc->Outputs().Index(i).Set<NormalizedLandmarkList>();
+          cc->Outputs().Index(i).Set<LandmarkListType>();
         }
       }
     }
@@ -110,40 +111,39 @@ class SplitNormalizedLandmarkListCalculator : public CalculatorBase {
   }
 
   absl::Status Process(CalculatorContext* cc) override {
-    const NormalizedLandmarkList& input =
-        cc->Inputs().Index(0).Get<NormalizedLandmarkList>();
+    const LandmarkListType& input =
+        cc->Inputs().Index(0).Get<LandmarkListType>();
     RET_CHECK_GE(input.landmark_size(), max_range_end_)
         << "Max range end " << max_range_end_ << " exceeds landmarks size "
         << input.landmark_size();
 
     if (combine_outputs_) {
-      NormalizedLandmarkList output;
+      LandmarkListType output;
       for (int i = 0; i < ranges_.size(); ++i) {
         for (int j = ranges_[i].first; j < ranges_[i].second; ++j) {
-          const NormalizedLandmark& input_landmark = input.landmark(j);
+          const LandmarkType& input_landmark = input.landmark(j);
           *output.add_landmark() = input_landmark;
         }
       }
       RET_CHECK_EQ(output.landmark_size(), total_elements_);
       cc->Outputs().Index(0).AddPacket(
-          MakePacket<NormalizedLandmarkList>(output).At(cc->InputTimestamp()));
+          MakePacket<LandmarkListType>(output).At(cc->InputTimestamp()));
     } else {
       if (element_only_) {
         for (int i = 0; i < ranges_.size(); ++i) {
           cc->Outputs().Index(i).AddPacket(
-              MakePacket<NormalizedLandmark>(input.landmark(ranges_[i].first))
+              MakePacket<LandmarkType>(input.landmark(ranges_[i].first))
                   .At(cc->InputTimestamp()));
         }
       } else {
         for (int i = 0; i < ranges_.size(); ++i) {
-          NormalizedLandmarkList output;
+          LandmarkListType output;
           for (int j = ranges_[i].first; j < ranges_[i].second; ++j) {
-            const NormalizedLandmark& input_landmark = input.landmark(j);
+            const LandmarkType& input_landmark = input.landmark(j);
             *output.add_landmark() = input_landmark;
           }
           cc->Outputs().Index(i).AddPacket(
-              MakePacket<NormalizedLandmarkList>(output).At(
-                  cc->InputTimestamp()));
+              MakePacket<LandmarkListType>(output).At(cc->InputTimestamp()));
         }
       }
     }
@@ -159,9 +159,15 @@ class SplitNormalizedLandmarkListCalculator : public CalculatorBase {
   bool combine_outputs_ = false;
 };
 
+typedef SplitLandmarksCalculator<NormalizedLandmark, NormalizedLandmarkList>
+    SplitNormalizedLandmarkListCalculator;
 REGISTER_CALCULATOR(SplitNormalizedLandmarkListCalculator);
 
+typedef SplitLandmarksCalculator<Landmark, LandmarkList>
+    SplitLandmarkListCalculator;
+REGISTER_CALCULATOR(SplitLandmarkListCalculator);
+
 }  // namespace mediapipe
 
 // NOLINTNEXTLINE
-#endif  // MEDIAPIPE_CALCULATORS_CORE_SPLIT_NORMALIZED_LANDMARK_LIST_CALCULATOR_H_
+#endif  // MEDIAPIPE_CALCULATORS_CORE_SPLIT_LANDMARKS_CALCULATOR_H_