pytorch-cutpaste
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Runinho
unoffical and work in progress PyTorch implementation of CutPaste
Hopefully, the author can provide some tips.
When run run_training.py,the epoch is 10000.Is it necessary?10000 is too large,and the MVTec is small.I worry about overfit.Can i set epoch smaller?for example,set epoch 4000? Thanks!
Traceback (most recent call last): File "run_training.py", line 263, in workers=args.workers) File "run_training.py", line 104, in run_training batch_idx, data = next(dataloader_inf) File "run_training.py", line 93, in get_data_inf for out in...
Dear Runinho, I found that you use " h = img.size[0] w = img.size[1]" in the cutpaste.py. I think it should be " w = img.size[0] h = img.size[1]" here....
您好！ 我想问一下，每次训练得到的模型，得到的结果，差别都很大。（是不是因为 每次都是随机在一张图里cut，paste，导致的？）， 比如 bottle这个类，我用相同的参数分别训练两次，得到两个模型model1和model2。 测试的时候，model1 得到的结果是AUC1 = 99.444, model2得到的结果是AUC2 = 99.841. 虽然有误差，但是这相差的也太多了。。。。。 有什么办法可以改善吗？ 谢谢
Hello, THE following problems occur when I run the code. May I ask how to solve them 
I train a model of wood using the command: ``` python run_training.py --head_layer 2 --type wood ``` Then in the evaluate process, is use the model to evaluate the type...
Hi, I am confusing about how to determine if an image is anomalous or not because model has two output: classification prediction and GDE scores. Should I use a threshold...
The label during training is consistant, namely 000...111... I'm wondering whether the consistant label will achieve trivial solution of CNN. No matter what the inputs are, the CNN outputs 000...111...
