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face detector

Project description


face detector with landmarks, RetinaFace PyPI implement

reference :

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pip3 install refinaface


#pip3 install opencv-python
import cv2 
from retinaface import RetinaFace

# init with 'normal' accuracy option (resize width or height to 800 )
# or you can choice 'speed' (resize to 320)
# or you can initiate with no parameter for running with original image size
detector = RetinaFace(quality="normal")

# same with cv2.imread,cv2.cvtColor 
rgb_image ="data/hian.jpg")

faces = detector.predict(rgb_image)
# faces is list of face dictionary
# each face dictionary contains x1 y1 x2 y2 left_eye right_eye nose left_lip right_lip
# faces=[{"x1":20,"y1":32, ... }, ...]

result_img = detector.draw(rgb_image,faces)

# save ([...,::-1] : rgb -> bgr )

# show using cv2
# cv2.imshow("result",result_img[...,::-1])
# cv2.waitKey()

result with drawing

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