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简单拼接一些源码,实现的人脸识别项目。可供学习参考。具体使用到:yolov5人脸检测、arcface人脸识别。

Python 99.59% Shell 0.41%

yolov5-arcface_forlearn's Introduction

Hi there, I'm fish! 👋

welcome to my github!



Hi, I'm fish.

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yolov5-arcface_forlearn's Issues

Question about face feature.

我看到您代码中的从pic文件夹中提取每张图片的特征部分,但是是单张对应单人的这种,于是我动手修改成了文件夹下放此人很多照片的方式,想用提高样本量的方式提高精度,但是在提取特征部分我不知道该怎么做,因为如果是将所有样本的output都计算再取平均是比较耗时的,而对data去取平均又是错误的,或许可以将特征保存方便下次调用,不过我不是很清楚该人脸识别是否在原理上就区别于其他深度学习算法需要大量数据的方式。

真假数据分类不好的原因

`

rf_size

rf_img = cv2.resize(face_img, (80, 80))
#添加下面这个代码
rf_img = cv2.cvtColor(rf_img, cv2.COLOR_BGR2RGB)
`
效果就会好很多
按照官方的数据预处理就好了

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