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Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning

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Thanks for the tutorial and code implementation! I am trying to train the model on my custom dataset and I encountered high loss on both training dataset and validation dataset...

"//" cannot be used directly, because if the value of tensor is negative, it is equivalent to "trunc", not "floor"

Hello, when `python train.py` was executed I faced an odd error: ``` Traceback (most recent call last): File "D:\a-PyTorch-Tutorial-to-Image-Captioning\train.py", line 332, in main() File "D:\a-PyTorch-Tutorial-to-Image-Captioning\train.py", line 111, in main train(train_loader=train_loader,...

When I run caption.py,I got the following error: Traceback (most recent call last): File "D:/2021/sjt/code/a-PyTorch-Tutorial-to-Image-Captioning-master/caption.py", line 217, in seq, alphas = caption_image_beam_search(encoder, decoder, args.img, word_map, args.beam_size) File "D:/2021/sjt/code/a-PyTorch-Tutorial-to-Image-Captioning-master/caption.py", line 113,...

I was going through the code and couldn't comprehend what was going on in these two lines of code: what does the `if` check and what does the lines inside...

Thanks for your wonderful project! I tried to train the model using your way. Firstly I trained only the decoder with the batch size of 80 without fine-tune for 15...

looks like fixed for scipy==1.7.3 | imageio==2.19.3 Reading TRAIN images and captions, storing to file... 20%|█████████████████████████████████████▏ | 23164/113287 [09:55