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Segmentation: add a new plugin using yolo11 model.
The plugin uses a yolo11 segmentation model in onnx format. It segment 80 classes of the COCO dataset. Over each object detected, it draws the segmentation mask, the bounding box and label it with the object's name and the associated confidence score. It uses a second thread to run the inference. On Linux, it can run on CPU or GPU if you have CUDA and cuDNN installed On Android, it It can run on CPU or NPU using NNAPI NNAPI is not faster for this model Change-Id: Ia6eb8fb365ec1f0ed701425354f00591f4269df5
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- Segmentation/CMakeLists.txt 293 additions, 0 deletionsSegmentation/CMakeLists.txt
- Segmentation/SegmentationMediaHandler.cpp 116 additions, 0 deletionsSegmentation/SegmentationMediaHandler.cpp
- Segmentation/SegmentationMediaHandler.h 49 additions, 0 deletionsSegmentation/SegmentationMediaHandler.h
- Segmentation/SegmentationVideoSubscriber.cpp 627 additions, 0 deletionsSegmentation/SegmentationVideoSubscriber.cpp
- Segmentation/SegmentationVideoSubscriber.h 105 additions, 0 deletionsSegmentation/SegmentationVideoSubscriber.h
- Segmentation/build.md 341 additions, 0 deletionsSegmentation/build.md
- Segmentation/data/icon.png 0 additions, 0 deletionsSegmentation/data/icon.png
- Segmentation/data/icon.svg 30 additions, 0 deletionsSegmentation/data/icon.svg
- Segmentation/data/preferences.json 36 additions, 0 deletionsSegmentation/data/preferences.json
- Segmentation/main.cpp 71 additions, 0 deletionsSegmentation/main.cpp
- Segmentation/manifest.json 8 additions, 0 deletionsSegmentation/manifest.json
- Segmentation/modelSRC/yolo11n-seg.onnx 0 additions, 0 deletionsSegmentation/modelSRC/yolo11n-seg.onnx
- Segmentation/package.json 20 additions, 0 deletionsSegmentation/package.json
- build-plugin.py 5 additions, 10 deletionsbuild-plugin.py
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