mampferd

Hi, I got the same problem but just in the ResNetCRNN_check_prediction.py file. BUT **with the help of a friend I found the solution on github** after long time searching the...

Check the code in File "UCF101_ResNetCRNN.py", line 168 It should be: all_names = [] for f in fnames: loc1 = f.find('v_') loc2 = f.find('_g') actions.append(f[(loc1 + 2): loc2]) all_names.append(f) If...

Hi, just insert: cnn_encoder.load_state_dict(torch.load(os.path.join(save_model_path, 'cnn_encoder_epoch101.pth'))) optimizer.load_state_dict(torch.load(os.path.join(save_model_path, 'optimizer_epoch101.pth'))) rnn_decoder.load_state_dict(torch.load(os.path.join(save_model_path, 'rnn_decoder_epoch101.pth'))) before '# start training for epoch in range(epochs): # improves the used max_epoch pre-trained weights' in the UCF101_ResNetCRNN.py file (and adjust...

Hi, I can answer how to get the .jpg files via the .001/.002/.003 files. You need to have all the three of them in the same folder and then extract...

To get the .jpg files on windows via the .001/.002/.003 files, you need to have all the three of them in the same folder and then extract (via 7-zip or...