Project import generated by Copybara.
GitOrigin-RevId: 1e13be30e2c6838d4a2ff768a39c414bc80534bb
This commit is contained in:
MediaPipe Team
committed by
Sebastian Schmidt
Sebastian Schmidt
parent
63e679d99c
commit
4dc4b19ddb
@@ -102,7 +102,7 @@ each project.
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/path/to/your/app/libs/
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```
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3. Make app/src/main/assets and copy assets (graph, model, and etc) into
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app/src/main/assets.
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@@ -120,7 +120,7 @@ each project.
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cp mediapipe/modules/face_detection/face_detection_short_range.tflite /path/to/your/app/src/main/assets/
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```
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4. Modify app/build.gradle to add MediaPipe dependencies and MediaPipe AAR.
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@@ -55,18 +55,18 @@ To build these apps:
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2. Import mediapipe/examples/android/solutions directory into Android Studio.
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3. For Windows users, run `create_win_symlinks.bat` as administrator to create
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res directory symlinks.
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4. Select "File" -> "Sync Project with Gradle Files" to sync project.
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5. Run solution example app in Android Studio.
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6. (Optional) Run solutions on CPU.
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@@ -27,7 +27,7 @@ graph on Android.
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A simple camera app for real-time Sobel edge detection applied to a live video
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stream on an Android device.
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## Setup
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@@ -69,7 +69,7 @@ node: {
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A visualization of the graph is shown below:
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This graph has a single input stream named `input_video` for all incoming frames
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that will be provided by your device's camera.
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@@ -260,7 +260,7 @@ adb install bazel-bin/$APPLICATION_PATH/helloworld.apk
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Open the application on your device. It should display a screen with the text
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`Hello World!`.
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## Using the camera via `CameraX`
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@@ -377,7 +377,7 @@ Add the following line in the `$APPLICATION_PATH/res/values/strings.xml` file:
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When the user doesn't grant camera permission, the screen will now look like
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this:
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Now, we will add the [`SurfaceTexture`] and [`SurfaceView`] objects to
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`MainActivity`:
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@@ -753,7 +753,7 @@ And that's it! You should now be able to successfully build and run the
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application on the device and see Sobel edge detection running on a live camera
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feed! Congrats!
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If you ran into any issues, please see the full code of the tutorial
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[here](https://github.com/google/mediapipe/tree/master/mediapipe/examples/android/src/java/com/google/mediapipe/apps/basic).
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@@ -85,7 +85,7 @@ nav_order: 1
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This graph consists of 1 graph input stream (`in`) and 1 graph output stream
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(`out`), and 2 [`PassThroughCalculator`]s connected serially.
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4. Before running the graph, an `OutputStreamPoller` object is connected to the
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output stream in order to later retrieve the graph output, and a graph run
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@@ -27,7 +27,7 @@ on iOS.
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A simple camera app for real-time Sobel edge detection applied to a live video
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stream on an iOS device.
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## Setup
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@@ -67,7 +67,7 @@ node: {
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A visualization of the graph is shown below:
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This graph has a single input stream named `input_video` for all incoming frames
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that will be provided by your device's camera.
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@@ -580,7 +580,7 @@ Update the interface definition of `ViewController` with `MPPGraphDelegate`:
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And that is all! Build and run the app on your iOS device. You should see the
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results of running the edge detection graph on a live video feed. Congrats!
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Please note that the iOS examples now use a [common] template app. The code in
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this tutorial is used in the [common] template app. The [helloworld] app has the
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@@ -113,9 +113,8 @@ Nvidia Jetson and Raspberry Pi, please read
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Download the latest protoc win64 zip from
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[the Protobuf GitHub repo](https://github.com/protocolbuffers/protobuf/releases),
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unzip the file, and copy the protoc.exe executable to a preferred
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location. Please ensure that location is added into the Path environment
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variable.
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unzip the file, and copy the protoc.exe executable to a preferred location.
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Please ensure that location is added into the Path environment variable.
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3. Activate a Python virtual environment.
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@@ -131,16 +130,14 @@ Nvidia Jetson and Raspberry Pi, please read
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(mp_env)mediapipe$ pip3 install -r requirements.txt
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```
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6. Generate and install MediaPipe package.
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6. Build and install MediaPipe package.
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```bash
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(mp_env)mediapipe$ python3 setup.py gen_protos
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(mp_env)mediapipe$ python3 setup.py install --link-opencv
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```
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or
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```bash
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(mp_env)mediapipe$ python3 setup.py gen_protos
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(mp_env)mediapipe$ python3 setup.py bdist_wheel
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```
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