FeiGeChuanShu / ncnn_Android_blazeface

This a demo of BlazeFace infer by ncnn

ncnn_Android_blazeface

The BlazeFace face detection demo infer by ncnn.

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 support

1.BlazeFace-FPN-SSH(The model from PaddleDetection)
2.yolov5-blazeface(The model from yolov5-face)
3.Face-Mesh(The model from mediapipe)

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

1.https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.3/configs/face_detection/README.md
2.https://github.com/nihui/ncnn-android-scrfd
3.https://github.com/deepcam-cn/yolov5-face
4.https://github.com/google/mediapipe