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GitOrigin-RevId: 87e46800807001e01d686fd7bcc2533714556920
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MediaPipe Team jqtang
MediaPipe Team authored and jqtang committed Dec 9, 2019
1 parent 86b3283 commit 38ee2603a7faf46d4283daaf73e455912307f0ff
@@ -464,7 +464,7 @@ ::mediapipe::Status TfLiteInferenceCalculator::LoadOptions(

// Get model name.
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));
} else {
@@ -380,7 +380,7 @@ To build and run iOS apps:
4. Install the needed packages.

```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).
@@ -5,7 +5,7 @@ This doc focuses on the
that performs object detection and tracking.
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).

![object_tracking_android_gpu_gif](images/mobile/object_tracking_android_gpu.gif)
@@ -437,7 +437,7 @@ node: {

### 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)

@@ -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_structured_light=OFF -DBUILD_opencv_surface_matching=OFF \
-DBUILD_opencv_world=OFF -DBUILD_opencv_xobjdetect=OFF -DBUILD_opencv_xphoto=OFF
make -j
make -j 16
sudo make install
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"

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