使用MTCNN进行人脸检测
1.使用前先在main.py的目录下创建test_Imgs文件夹，并将图片放在该文件夹下。
2.使用train_pnet.py,train_rnet.py,train_onet.py对三个网络进行训练。并修改如下变量值。
save_path="saved_models/pnet.pt" #模型保存位置
dataset_path=r"path\to\data" #数据保存的位置
sum_path='./pnet_logs' #tensorboard数据保存位置3.训练数据使用CelebA数据集，并使用ImageCrop.py生成，使用时需要对文件路径进行修改。
4.使用时执行main.py即可
5.使用的结果
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