pytorch-multi-label-classifier
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A pytorch implemented classifier for Multiple-Label classification
FileNotFoundError: [Errno 2] No such file or directory: '/data/image_server/images/CelebA/data/Align/026781.jpg' Do you have the relative dataset? Could you please upload it? And if I download from the official website, the dataset...
Traceback (most recent call last): File "multi_label_classifier.py", line 337, in main() File "multi_label_classifier.py", line 330, in main train(model, criterion, train_set, val_set, opt, (rid2name, id2rid)) File "multi_label_classifier.py", line 170, in train...
I tried the resnet50 layer as the classification model, and I changed the input size of the image, but the loss of validation step was nan. I found the problem...
your multi_label_classifier was constructed by several concurrent FC layers .Another idea is that the label is encoded by one-hot encoder and add a sigmoid function after the 3rd FC layer.At...
argument
hi,i run the multi_label_classifier.py and met the following error: usage: multi_label_classifier.py [-h] --dir DIR --name NAME --mode MODE --model MODEL [--load_size LOAD_SIZE] [--input_size INPUT_SIZE] [--ratio RATIO] [--batch_size BATCH_SIZE] [--shuffle] [--flip]...
Say I have 5 classes, what would be the input and target?