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The yolov5-lite object detection

This is a sample ncnn android project, it depends on ncnn library and opencv

https://github.com/Tencent/ncnn

https://github.com/nihui/opencv-mobile

model_zoo

https://github.com/ppogg/ncnn-android-v5lite/tree/master/app/src/main/assets

how to build and run

step1

https://github.com/Tencent/ncnn/releases

  • Download ncnn-YYYYMMDD-android-vulkan.zip or build ncnn for android yourself
  • Extract ncnn-YYYYMMDD-android-vulkan.zip into app/src/main/jni and change the ncnn_DIR path to yours in app/src/main/jni/CMakeLists.txt

step2

https://github.com/nihui/opencv-mobile

  • Download opencv-mobile-XYZ-android.zip
  • Extract opencv-mobile-XYZ-android.zip into app/src/main/jni and change the OpenCV_DIR path to yours in app/src/main/jni/CMakeLists.txt

step3

cd ncnn_Android/ncnn-android-yolov5/app/src/main/assets
wget all the *.param and *.bin

step4

  • Open this project with Android Studio, build it and enjoy!

some notes

  • Android ndk camera is used for best efficiency
  • Crash may happen on very old devices for lacking HAL3 camera interface
  • All models are manually modified to accept dynamic input shape
  • Most small models run slower on GPU than on CPU, this is common
  • FPS may be lower in dark environment because of longer camera exposure time

screenshot



reference

https://github.com/nihui/ncnn-android-yolov5

https://github.com/FeiGeChuanShu/ncnn-android-yolox

https://github.com/ppogg/YOLOv5-Lite