face_detect

train/test/eval face detect model from winderface dataset

model

I reference yolo(specialy yolov3) and ssd model,and simply these model.

train

python3.6 train.py -l 0.001 -e 10 -b 5
detailes: -l for learning rate, -e for epoes, -b for batch.
if you want train from last model, add -p True, like this: python3.6 train.py -l 0.001 -e 10 -b 5 -p True

test

python3.6 test.py

eval

python3.6 eval.py -c 0.6 -t 0.5
details: -c for the confidence of box that contains face.
-t for thresh of IOU

shows

test with camera

python3.6 camera_show.py

I am still training and optimizing the model, Welcome to do it better together!

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