学习insightface 的人脸识别
1.Insightface_pytorch版本的自定义数据准备过程
https://github.com/artintel/LearningCode/blob/master/insightface_pytorch_datasets_make/README.md
https://github.com/artintel/LearningCode/tree/master/insightface_pytorch_datasets_make
2.mxnet_insightface开源代码使用——自定义数据集制作
https://zhuanlan.zhihu.com/p/92738758
3.insight face数据打包（一）：LFW
https://blog.csdn.net/ustczhng2012/article/details/113512500
4.Build-Your-Own-Face-Model
https://github.com/siriusdemon/Build-Your-Own-Face-Model/tree/master/recognition
https://github.com/siriusdemon/Build-Your-Own-Face-Model/blob/master/recognition/blog/data.md
5.arcface_torch
https://github.com/deepinsight/insightface/blob/master/recognition/arcface_torch/docs/prepare_custom_dataset.md
https://github.com/deepinsight/insightface/blob/master/recognition/arcface_torch/docs/prepare_custom_dataset.md
6.AI 实战 - 基于 insightface 的人脸识别
https://blog.csdn.net/qq_25439881/article/details/125179117
7.face recognition based on yolov8 & Arcface
https://github.com/JOKER-3-z/EASY_USE_face_recognition
8.yoloV5-arcface_forlearn
https://github.com/ooooxianyu/yoloV5-arcface_forlearn
9. yoloV5-arcface_forlearn-master
https://github.com/Lose-the-mind/yoloV5-arcface_forlearn-master
10.Pytorch-FaceNet-DogDataset
FaceNet Implementation on DogFace Dataset
https://github.com/fcernafukuzaki/Pytorch-FaceNet-DogDataset
Paper To Code implementation of Facenet in native pytorch on Dog Dataset
11.insightface pytorch 答疑
https://blog.csdn.net/minstyrain/article/details/126901471
快速上手 PyTorch 人脸相似度计算方法 ArcFace
基于insightface实现的人脸识别和人脸注册-CSDN博客
https://yeyupiaoling.blog.csdn.net/article/details/108304894
ArcFace详解与实践-CSDN博客
人脸识别从原理到实践
https://github.com/zhongyy/SFace/tree/main/SFace_torch
https://github.com/deepinsight/insightface/wiki/Dataset-Zoo
- 训练公开数据
先从insightface datasets下载数据，里面提供了对齐(112x112)好的人脸文件，并打包成rec格式加速读取，如果需要原始文件图片，可参考load_images_from_bin.py自行保存，也可使用image_iter_rec.py里的FaceDataset直接加载数据
- insightface datasets:
https://github.com/deepinsight/insightface/tree/master/recognition/_datasets_
- load_images_from_bin.py:
https://github.com/xuexingyu24/MobileFaceNet_Tutorial_Pytorch/blob/master/data_set/load_images_from_bin.py
- image_iter_rec.py:
https://github.com/zhongyy/SFace/blob/main/SFace_torch/image_iter_rec.py
人脸识别0-10：insightFace-半监督系统搭建(5)-流程总结，代码分享。_insightface casia-facev5-CSDN博客
- 训练自己的数据
训练自己的数据要复杂很多，人半监督系统搭建(5)-流程总结首先通过爬虫等手段获取人脸图片，每个人放一个文件夹。https://github.com/DarkIsComing/1.FaceRecognition
MTCNN训练-CSDN博客
MTCNN训练
要部署的话可以使用MTCNN，
https://github.com/imistyrain/MTCNN
其提供了部署全平台实现，包括C++、python、ncnn和tensorflow，还有加速版本和opencv直接加载版本，是所有版本中的集大成者.
如果想了解算法原理，可以参考
MTCNN_Step_by_Step
https://github.com/xuexingyu24/MTCNN_Tutorial/blob/master/MTCNN_Step_by_Step.ipynb
本文的训练流程参考至
MTCNN_Training_Step_by_Step
https://github.com/xuexingyu24/MTCNN_Tutorial/blob/master/MTCNN_Training_Step_by_Step.ipynb
提供了主流的pytorch实现
训练数据准备
MTCNN混合了三类任务: 人脸/非人脸分类、人脸框回归和人脸关键点定位. WIDER FACE (左图) 用来进行人脸分类和框回归. CNN_FacePoint (右图) 用来进行关键点定位.