This project forked from upccv/face-attractiveness
基于深度学习的颜值评价
本文基于SCUT-FBP5500数据库实现基于深度学习的颜值评价
SCUT-FBP5500是包含5500张人脸图片的数据集，其下载地址为百度网盘访问密码: if7p ，Size = 172MB
基于深度学习的颜值打分器曾实现过一个基于ResNet50的网络进行打分，其存在以下两个问题：
所有数据一次性读入内存，小于20G的机器无法训练
选用模型太大，运行时需要的显存在8G以上，一般的机器也无法运行
针对以上两个问题，本文采用fit_generator，大大减少了训练所需的资源,模型也换成自己的小模型，取得了不错的效果.
cd web
python app.py
打开浏览器,输入网址localhost:5000.选择一张图片上传，稍等片刻就会返回识别结果。
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