/ncnn-android-yolov8-seg

a sample yolov8 object segment android project based on ncnn and opencv.

Primary LanguageC++

ncnn-yolov8-seg

This is a sample ncnn yolov8 object segment android project, it depends on ncnn library and opencv.

Method 1

Method 2

Method 3

1 How to build and run

1.1 Configure ncnn

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

For example:ncnn-20221128-android-vulkan

1.2 Configure OpenCV

  • 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.

For example:opencv-mobile-4.6.0-android

1.3 Build and Install ncnn-yolov8-seg app

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

2 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.

3 Screenshot

4 Reference