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ncnn-android-yolov6

The YOLOv6 object detection demo of Android. You can directly download apk file from Android Demo here, many thanks to triple Mu.

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

How to build and run

step1

  • 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

  • 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

  • download AndroidAssets.zip
  • Unzip AndroidAssets.zip, you will get a directory named as assets, move it into app/src/.

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

Reference: