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Peppa_Pig_Face_Engine

DOI

introduction

It is a simple demo including face detection and face aligment, and some optimizations were made to make the result better.

click the gif to see the video: demo

and with face mask: face mask

requirment

  • PyTorch
  • onnxruntime
  • opencv

model

1 face detector

yolov5-face

2 landmark detector

Simple keypoints detector.

WFLW NME Flops(G) Params(M) Pose Exp. Ill. Mu. Occ. Blur pretrained
Student@128 4.80 0.35 3.25 8.53 5.00 4.61 4.81 5.80 5.36 skps
Teacher@128 4.17 1.38 11.53 7.14 4.32 4.01 4.03 4.98 4.68 skps
Student@256 4.35 1.39 3.25 7.53 4.52 4.16 4.21 5.34 4.93 skps
Teacher@256 3.95 5.53 11.53 7.00 4.00 3.81 3.78 4.85 4.54 skps

I will release new model when there is better one.

By default student@256 is used in this project

install

git clone https://github.com/610265158/Peppa_Pig_Face_Landmark
python setup.py install

useage

# by code:

from Skps import FaceAna
facer = FaceAna()

result= facer.run(image)

## detect images, tracing is not used, add
##  facer.reset()

More details refer to demo.py

run python demo.py --cam_id 0 use a camera
or python demo.py --video test.mp4 detect for a video
or python demo.py --img_dir ./test detect for images dir no track

How to train

The codes are placed in folder TRAIN/face_landmark

Refer to TRAIN/face_landmark/README.md to train the model.