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ncnn-android-yolov8-pose

The yolov8 pose estimation

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

export NCNN model

install ultralytics library
use yolo CLI

yolo export model=yolov8s-pose.pt format=ncnn  # export official model

or in a Python environment

from ultralytics import YOLO

# Load a model
model = YOLO('yolov8s-pose.pt')  # load an official model

# Export the model
model.export(format='ncnn')

Then rename the ncnn model and put it into "assets" directory.

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

  • 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-nanodet
https://github.com/Tencent/ncnn
https://github.com/ultralytics/assets/releases/tag/v0.0.0
https://github.com/FeiGeChuanShu/ncnn-android-yolov8