epoch:0 train_loss:0.4818812523782253 train_acc:0.5025 val_loss:0.8370852988958358 val_acc:0.06
epoch:1 train_loss:0.3996950137987733 train_acc:0.62375 val_loss:0.8093162566423416 val_acc:0.175
epoch:2 train_loss:0.41272038634866476 train_acc:0.62875 val_loss:0.708283720612526 val_acc:0.005
epoch:3 train_loss:0.414907135553658 train_acc:0.62125 val_loss:0.9399060183763503 val_acc:0.065
epoch:4 train_loss:0.395386614240706 train_acc:0.62625 val_loss:1.0851213371753692 val_acc:0.045
epoch:5 train_loss:0.4197409097477794 train_acc:0.62625 val_loss:0.839541420340538 val_acc:0.075
epoch:6 train_loss:0.4107114725932479 train_acc:0.62125 val_loss:0.8585147714614868 val_acc:0.145
epoch:7 train_loss:0.4128283057361841 train_acc:0.61375 val_loss:0.847367570400238 val_acc:0.14
epoch:8 train_loss:0.4172782715409994 train_acc:0.61375 val_loss:0.7502734190225602 val_acc:0.235
epoch:9 train_loss:0.4246418974548578 train_acc:0.64125 val_loss:0.8789447700977325 val_acc:0.005
图像检测图像检测图像检测图像检测
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2023-07-03
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基于pytorch cnn ResNets卷积网络的模糊图像检测.rar （23个子文件） 
runs 001 
model.pth 252KB
logs.txt 983B
loss.png 25KB acc.png 21KB utils __init__.py 0B log.py 1KB model __init__.py 0B model.py 7KB __pycache__ __init__.cpython-37.pyc 181B model.cpython-37.pyc 5KB train.py 6KB imgs 
blur_2.JPG 546KB img_3.png 894KB img_6.png 568KB blur.JPG 625KB 16-12-07_0020.jpg 401KB img_4.png 269KB img_7.png 2.57MB img_5.png 121KB sharp.JPG 1.08MB img.png 234KB img_1.png 634KB img_2.png 333KB资源评论
