dupc2018

训练测试的embt都是你原来的都没动，也就是数据集换了一下，其他的都没变，结果输出的7帧全部都是一样的，而且结果不怎么清晰，不知道原因出现在什么地方了

直接使用train_gopro.py加载GoPro数据集是不是有点问题呢，我使用自己的数据集用train_gopro.py训练的，测试是用demo_8x.py脚本测试的，造成输出的都一样，连输出的图片文件大小都一样

是不是demo_8x.py的原因呢，写上False 加载模型的时候 model.load_state_dict(torch.load('/mnt/IFRNet-main/checkpoint/IFRNet_L/2022-06-26 02:14:46/IFRNet_L_latest.pth'),False)，但是如果不写False就报错 RuntimeError: Error(s) in loading state_dict for Model: Missing key(s) in state_dict: "encoder.pyramid1.0.0.weight", "encoder.pyramid1.0.0.bias", "encoder.pyramid1.0.1.weight", "encoder.pyramid1.1.0.weight", "encoder.pyramid1.1.0.bias", "encoder.pyramid1.1.1.weight", "encoder.pyramid2.0.0.weight", "encoder.pyramid2.0.0.bias", "encoder.pyramid2.0.1.weight", "encoder.pyramid2.1.0.weight", "encoder.pyramid2.1.0.bias", "encoder.pyramid2.1.1.weight", "encoder.pyramid3.0.0.weight", "encoder.pyramid3.0.0.bias", "encoder.pyramid3.0.1.weight",...

Using a paired dataset, training the recurrent network was found to be very close rec_B to the real_B, and the fake_B was much different from both rec_B and real_B