face_rank's Introduction
文件及文件夹列表如下: Face_Rank.ipynb:项目的jupyter notebook文件,内附有集中的项目依赖项 Face_Rank_Report.pdf:实验报告,项目的jupyter notebook导出的pdf文件 face_rank.py:从jupyter notebook中复制出来的代码,只运行此文件可进行动态颜值预测 my_net.py:为了调用的方便从jupyter notebook中复制出来的代码,顺序运行jupyter可以不用此文件 test.xlsx:测试集的文件名和标签 train.xlsx:训练集的文件名和标签 loss.npy:储存loss曲线的值 checkpoints:保存网络参数文件的文件夹,内含best model和last model的参数,为了节省传输文件的大小,已经删去了后者 face_test_set:储存测试集预处理后图像的文件夹,已清空,可由jupyter重新生成 face_train_set:储存训练集预处理后图像的文件夹,已清空,可由jupyter重新生成 original_set:来自网络上的数据集 SCUT-FBP5500_v2 original_test_set:按标签储存测试集图像的文件夹,已清空,可由jupyter重新生成 original_train_set:按标签储存训练集图像的文件夹,已清空,可由jupyter重新生成 predict_set:储存待打分图像的文件夹 reset:用来清空重置face_test_set、face_train_set、original_test_set、original_train_set文件夹的 runs:tensorboard库生成的文件,用来可视化网络结构,需要按jupyter中注释的要求操作 jupyter_image:jupyter中插入的图片,与代码运行无关
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