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# yolov5_face_landmark | ||
基于yolov5的人脸检测,带关键点检测 | ||
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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 | ||
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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。 | ||
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3,主要修改代码部分: | ||
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(1)hyp.scatch.yaml中增加关键点loss的超参数 | ||
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(2) yolo.py中增加了关键点回归的计算 | ||
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(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) | ||
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(4) loss.py中增加关键点回归的loss计算 |