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GitOrigin-RevId: 87e46800807001e01d686fd7bcc2533714556920
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MediaPipe Team 2019-12-09 13:01:04 -08:00 committed by jqtang
parent 86b3283b2f
commit 38ee2603a7
4 changed files with 5 additions and 5 deletions
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2
mediapipe/calculators/tflite/tflite_inference_calculator.cc
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@ -464,7 +464,7 @@ REGISTER_CALCULATOR(TfLiteInferenceCalculator);
// Get model name. // Get model name.
if (!options.model_path().empty()) { if (!options.model_path().empty()) {
auto model_path = options.model_path(); std::string model_path = options.model_path();
ASSIGN_OR_RETURN(model_path_, mediapipe::PathToResourceAsFile(model_path)); ASSIGN_OR_RETURN(model_path_, mediapipe::PathToResourceAsFile(model_path));
} else { } else {

2
mediapipe/docs/install.md
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@ -380,7 +380,7 @@ To build and run iOS apps:
4. Install the needed packages. 4. Install the needed packages.
```bash ```bash
username@DESKTOP-TMVLBJ1:~$ sudo apt-get update && sudo apt-get install -y --no-install-recommends build-essential git python zip adb openjdk-8-jdk username@DESKTOP-TMVLBJ1:~$ sudo apt-get update && sudo apt-get install -y build-essential git python zip adb openjdk-8-jdk
``` ```
5. Install Bazel (0.24.1 and above required). 5. Install Bazel (0.24.1 and above required).

4
mediapipe/docs/object_tracking_mobile_gpu.md
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@ -5,7 +5,7 @@ This doc focuses on the
that performs object detection and tracking. that performs object detection and tracking.
Note that object detection is using TensorFlow Lite on GPU while tracking is using CPU. Note that object detection is using TensorFlow Lite on GPU while tracking is using CPU.
For overall context on hand detection and hand tracking, please read this For overall context on object detection and tracking, please read this
[Google Developer Blog](https://mediapipe.page.link/objecttrackingblog). [Google Developer Blog](https://mediapipe.page.link/objecttrackingblog).
![object_tracking_android_gpu_gif](images/mobile/object_tracking_android_gpu.gif) ![object_tracking_android_gpu_gif](images/mobile/object_tracking_android_gpu.gif)
@ -437,7 +437,7 @@ node: {
### Renderer Subgraph ### Renderer Subgraph
![hand_renderer_gpu_subgraph.pbtxt](images/mobile/object_tracking_renderer_gpu_subgraph.png) ![object_tracking_renderer_gpu_subgraph.pbtxt](images/mobile/object_tracking_renderer_gpu_subgraph.png)
[Source pbtxt file](https://github.com/google/mediapipe/tree/master/mediapipe/graphs/tracking/subgraphs/renderer_gpu.pbtxt) [Source pbtxt file](https://github.com/google/mediapipe/tree/master/mediapipe/graphs/tracking/subgraphs/renderer_gpu.pbtxt)

2
setup_opencv.sh
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@ -49,7 +49,7 @@ cmake .. -DCMAKE_BUILD_TYPE=RELEASE -DCMAKE_INSTALL_PREFIX=/usr/local \
-DBUILD_opencv_rgbd=OFF -DBUILD_opencv_saliency=OFF -DBUILD_opencv_shape=OFF \ -DBUILD_opencv_rgbd=OFF -DBUILD_opencv_saliency=OFF -DBUILD_opencv_shape=OFF \
-DBUILD_opencv_structured_light=OFF -DBUILD_opencv_surface_matching=OFF \ -DBUILD_opencv_structured_light=OFF -DBUILD_opencv_surface_matching=OFF \
-DBUILD_opencv_world=OFF -DBUILD_opencv_xobjdetect=OFF -DBUILD_opencv_xphoto=OFF -DBUILD_opencv_world=OFF -DBUILD_opencv_xobjdetect=OFF -DBUILD_opencv_xphoto=OFF
make -j make -j 16
sudo make install sudo make install
rm -rf /tmp/build_opencv rm -rf /tmp/build_opencv
echo "OpenCV has been built. You can find the header files and libraries in /usr/local/include/opencv4/opencv2 and /usr/local/lib" echo "OpenCV has been built. You can find the header files and libraries in /usr/local/include/opencv4/opencv2 and /usr/local/lib"