聿默的博客

1.python3.6版本安装python -m pip install https://files.pythonhosted.org/packages/0e/ce/f8a3cff33ac03a8219768f0694c5d703c8e037e6aba2e865f9bae22ed63c/dlib-19.8.1-cp36-cp36m-win_amd64.whl#sha256=794994fa2c54e7776659fddb148363a5556468a6d5d46be8dad311722d54bfc.

参考：https://github.com/ronghuaiyang/arcface-pytorch1.代码结构目录结构如下：配置信息：包含许多训练或者测试的一些信息配置，比如backbone选用的模型结构等；数据读取：里面是一个pytorch的Dataloder，我们可以自定义，其中__getitem__用于迭代时输出图像与label数据对；模型：这里面含有backbone结构，loss损失函数等结构；脚本：这里面放了一些其他的用于后续处理的脚本。test：测试

https://github.com/biubug6/Pytorch_Retinaface0.环境ubuntu16.04python3.6cuda9.0torch==1.1.0ipython1.准备数据与模型（1）准备数据原始数据：train+val+testhttp://shuoyang1213.me/WIDERFACE/WiderFace_Results.html标签数据：https://pan.baidu.com/s/1Laby0EctfuJGgGMgRRgykA.

参考：https://github.com/yu4u/age-gender-estimation0.环境ubuntu16.04python3.6cuda9.0tensorflow==1.12.0absl-py==0.11.0albumentations==0.5.2antlr4-python3-runtime==4.8astor==0.8.1cached-property==1.5.2cmake==3.18.4.post1cycler==0.10.0dataclasse

参考：https://github.com/shamangary/SSR-Net0.环境ubuntu16.04cuda9.0keras==2.2.4pandasscipytensorflow-gpu==1.12.0scikit-learnmatplotlibmoviepyopencv-python==4.1.0.25pydot-ng graphvizpydot==1.2.3apt-get install graphviz1.数据准备直接下载对应的.

1.修改cd SRN/srn/extensions/vim _nms/build.pyfrom torch.utils.ffi import create_extensionto:from torch.utils.cpp_extension import BuildExtensionffi = create_extension( '_ext.nms', headers=headers, sources=sources, define_macros=d...

https://github.com/BoyuanJiang/Age-Gender-Estimate-TF0.环境ubuntu16.04python3.6tensorflow==1.10.0dlib==19.8.1opencv-python==4.1.0.25matplotlib==3.3.1imutils==0.4.3numpy==1.19.2pandas==1.1.2

https://github.com/deepinsight/insightface/tree/master/RetinaFace0.环境mxnet-cu90 @ file:mxnet_cu90-1.2.0-py2.py3-none-manylinux1_x86_64.whlCython==0.29.21easydict==1.9numpy==1.14.6opencv-python==4.4.0.44环境配置步骤：git clone https://github.com/dee

主要参考两篇：https://blog.youkuaiyun.com/liuxiao214/article/details/83411820https://www.jianshu.com/p/577af31ced740.环境windowspython3.6Dlibnumpy==1.14.5globopencv-python==3.4.3.18安装Dlib参考：https://blog.youkuaiyun.com/qq_35975447/article/details/1098027870.1

参考TinaFace: Strong but Simple Baseline for Face Detectionhttps://github.com/Media-Smart/vedadet0.环境ubuntu16.04python3.6torch==1.1.0cd vedadetpython setup.py develop1.准备1.1 准备模型https://drive.google.com/u/0/uc?id=1zU738coEVDBkLBUa4hv.

参考https://paperswithcode.com/paper/dsfd-dual-shot-face-detectorhttps://github.com/Tencent/FaceDetection-DSFD0.环境