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xialuxi authored Jan 9, 2021
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# yolov5_face_landmark
基于yolov5的人脸检测,带关键点检测

1在yolov5的检测基础上,加上关键点回归分支
1,在yolov5的检测基础上,加上关键点回归分支

2,detect_one.py是单张图片的测试代码, 基于部分wideface训练的模型,稍后在百度云公开。

3,主要修改代码部分:

(1)hyp.scatch.yaml中增加关键点loss的超参数

(2) yolo.py中增加了关键点回归的计算

(3) face_datasets.py为人脸数据的读取方式,准备数据的格式参考yolov5的格式,在后面增加关键点的左边(归一化)

(4) loss.py中增加关键点回归的loss计算

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