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GitOrigin-RevId: 53a42bf7ad836321123cb7b6c80b0f2e13fbf83e
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MediaPipe Team
2020-04-06 19:14:13 -07:00
committed by jqtang
parent 1722d4b8a2
commit a3d36eee32
127 changed files with 3910 additions and 4783 deletions
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mediapipe/docs/face_detection_desktop.md
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@@ -51,7 +51,7 @@ To build and run the TensorFlow Lite example on desktop (GPU) with Webcam, run:
```bash
# Video from webcam running on desktop GPU
# This works only for linux currently
$ bazel build -c opt --copt -DMESA_EGL_NO_X11_HEADERS \
$ bazel build -c opt --copt -DMESA_EGL_NO_X11_HEADERS --copt -DEGL_NO_X11 \
mediapipe/examples/desktop/face_detection:face_detection_gpu
# It should print:
mediapipe/docs/gpu.md
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@@ -190,10 +190,10 @@ within the MediaPipe framework:
bazel build --define MEDIAPIPE_DISABLE_GPU=1 <my-target>
# to enable full GPU support (OpenGL ES 3.1+ & Metal)
bazel build --copt -DMESA_EGL_NO_X11_HEADERS <my-target>
bazel build --copt -DMESA_EGL_NO_X11_HEADERS --copt -DEGL_NO_X11 <my-target>
# to enable only OpenGL ES 3.0 and below (no GLES 3.1+ features)
bazel build --copt -DMESA_EGL_NO_X11_HEADERS --copt -DMEDIAPIPE_DISABLE_GL_COMPUTE <my-target>
bazel build --copt -DMESA_EGL_NO_X11_HEADERS --copt -DEGL_NO_X11 --copt -DMEDIAPIPE_DISABLE_GL_COMPUTE <my-target>
```
Note *MEDIAPIPE_DISABLE_GL_COMPUTE* is automatically defined on all Apple
mediapipe/docs/hair_segmentation_desktop.md
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@@ -26,7 +26,7 @@ To build and run the TensorFlow Lite example on desktop (GPU) with Webcam, run:
```bash
# Video from webcam running on desktop GPU
# This works only for linux currently
$ bazel build -c opt --copt -DMESA_EGL_NO_X11_HEADERS \
$ bazel build -c opt --copt -DMESA_EGL_NO_X11_HEADERS --copt -DEGL_NO_X11 \
mediapipe/examples/desktop/hair_segmentation:hair_segmentation_gpu
# It should print:
mediapipe/docs/hand_tracking_desktop.md
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@@ -48,7 +48,7 @@ To build and run the TensorFlow Lite example on desktop (GPU) with Webcam, run:
```bash
# Video from webcam running on desktop GPU
# This works only for linux currently
$ bazel build -c opt --copt -DMESA_EGL_NO_X11_HEADERS \
$ bazel build -c opt --copt -DMESA_EGL_NO_X11_HEADERS --copt -DEGL_NO_X11 \
mediapipe/examples/desktop/hand_tracking:hand_tracking_gpu
# It should print:
mediapipe/docs/install.md
+18 -25
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@@ -40,12 +40,11 @@ To build and run iOS apps:
$ cd mediapipe
```
2. Install Bazel (version between 1.0.0 and 1.2.1).
2. Install Bazel.
Follow the official
[Bazel documentation](https://docs.bazel.build/versions/master/install-ubuntu.html)
to install Bazel manually. Note that MediaPipe doesn't support Bazel 2.0.0+
yet.
to install Bazel 2.0 or higher.
3. Install OpenCV and FFmpeg.
@@ -111,7 +110,7 @@ To build and run iOS apps:
# To compile with GPU support, replace
--define MEDIAPIPE_DISABLE_GPU=1
# with
--copt -DMESA_EGL_NO_X11_HEADERS
--copt -DMESA_EGL_NO_X11_HEADERS --copt -DEGL_NO_X11
# when building GPU examples.
```
@@ -125,7 +124,7 @@ To build and run iOS apps:
mediapipe/examples/desktop/hello_world:hello_world
# If you are running on Linux desktop with GPU support enabled (via mesa drivers)
$ bazel run --copt -DMESA_EGL_NO_X11_HEADERS \
$ bazel run --copt -DMESA_EGL_NO_X11_HEADERS --copt -DEGL_NO_X11 \
mediapipe/examples/desktop/hello_world:hello_world
# Should print:
@@ -152,12 +151,11 @@ To build and run iOS apps:
$ cd mediapipe
```
2. Install Bazel (version between 1.0.0 and 1.2.1).
2. Install Bazel.
Follow the official
[Bazel documentation](https://docs.bazel.build/versions/master/install-redhat.html)
to install Bazel manually. Note that MediaPipe doesn't support Bazel 2.0.0+
yet.
to install Bazel 2.0 or higher.
3. Install OpenCV.
@@ -241,23 +239,18 @@ To build and run iOS apps:
$ cd mediapipe
```
3. Install Bazel (version between 1.0.0 and 1.1.0).
3. Install Bazel.
Option 1. Use package manager tool to install Bazel 1.1.0
Option 1. Use package manager tool to install Bazel
```bash
# If Bazel 1.1.0+ was installed.
$ brew uninstall bazel
# Install Bazel 1.1.0
$ brew install https://raw.githubusercontent.com/bazelbuild/homebrew-tap/f8a0fa981bcb1784a0d0823e14867b844e94fb3d/Formula/bazel.rb
$ brew link bazel
$ brew install bazel
# Run 'bazel version' to check version of bazel
```
Option 2. Follow the official
[Bazel documentation](https://docs.bazel.build/versions/master/install-os-x.html#install-with-installer-mac-os-x)
to install any version of Bazel manually. Note that MediaPipe doesn't
support Bazel 1.1.0+ on macOS yet.
to install Bazel 2.0 or higher.
4. Install OpenCV and FFmpeg.
@@ -391,18 +384,18 @@ cameras. Alternatively, you use a video file as input.
username@DESKTOP-TMVLBJ1:~$ sudo apt-get update && sudo apt-get install -y build-essential git python zip adb openjdk-8-jdk
```
5. Install Bazel (version between 1.0.0 and 1.2.1).
5. Install Bazel.
```bash
username@DESKTOP-TMVLBJ1:~$ curl -sLO --retry 5 --retry-max-time 10 \
https://storage.googleapis.com/bazel/1.0.0/release/bazel-1.0.0-installer-linux-x86_64.sh && \
sudo mkdir -p /usr/local/bazel/1.0.0 && \
chmod 755 bazel-1.0.0-installer-linux-x86_64.sh && \
sudo ./bazel-1.0.0-installer-linux-x86_64.sh --prefix=/usr/local/bazel/1.0.0 && \
source /usr/local/bazel/1.0.0/lib/bazel/bin/bazel-complete.bash
https://storage.googleapis.com/bazel/2.0.0/release/bazel-2.0.0-installer-linux-x86_64.sh && \
sudo mkdir -p /usr/local/bazel/2.0.0 && \
chmod 755 bazel-2.0.0-installer-linux-x86_64.sh && \
sudo ./bazel-2.0.0-installer-linux-x86_64.sh --prefix=/usr/local/bazel/2.0.0 && \
source /usr/local/bazel/2.0.0/lib/bazel/bin/bazel-complete.bash
username@DESKTOP-TMVLBJ1:~$ /usr/local/bazel/1.0.0/lib/bazel/bin/bazel version && \
alias bazel='/usr/local/bazel/1.0.0/lib/bazel/bin/bazel'
username@DESKTOP-TMVLBJ1:~$ /usr/local/bazel/2.0.0/lib/bazel/bin/bazel version && \
alias bazel='/usr/local/bazel/2.0.0/lib/bazel/bin/bazel'
```
6. Checkout MediaPipe repository.
mediapipe/docs/media_sequence.md
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@@ -89,11 +89,11 @@ process new data sets, in the documentation of
dataset = d.as_dataset('test')
# implement additional processing and batching here
dataset_output = dataset.make_one_shot_iterator().get_next()
images = dataset_output=['images']
labels = dataset_output=['labels']
images = dataset_output['images']
labels = dataset_output['labels']
with tf.Session() as sess:
images_, labels_ = sess.run(images, labels)
images_, labels_ = sess.run([images, labels])
print('The shape of images_ is %s' % str(images_.shape))
print('The shape of labels_ is %s' % str(labels_.shape))
```
mediapipe/docs/mediapipe_ios_setup.md
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@@ -76,6 +76,10 @@ in the next section.
2. Open `mediapipe/Mediapipe.tulsiproj` using the Tulsi app.
Important: If Tulsi displays an error saying "Bazel could not be found",
press the "Bazel..." button in the Packages tab and select the `bazel`
executable in your homebrew `/bin/` directory.
3. Select the MediaPipe config in the Configs tab, then press the Generate
button below. You will be asked for a location to save the Xcode project.
Once the project is generated, it will be opened in Xcode.
mediapipe/docs/multi_hand_tracking_desktop.md
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@@ -48,7 +48,7 @@ To build and run the TensorFlow Lite example on desktop (GPU) with Webcam, run:
```bash
# Video from webcam running on desktop GPU
# This works only for linux currently
$ bazel build -c opt --copt -DMESA_EGL_NO_X11_HEADERS \
$ bazel build -c opt --copt -DMESA_EGL_NO_X11_HEADERS --copt -DEGL_NO_X11 \
mediapipe/examples/desktop/multi_hand_tracking:multi_hand_tracking_gpu
# It should print: