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View Code? Open in Web Editor NEWAttention Bidirectional Video Recurrent Net
License: Other
Attention Bidirectional Video Recurrent Net
License: Other
Dear Author,
Because I don't know the exactly format of the caption.id.en used in the generate_description_lists.py script. I can only speculate about the outputs format of 'train_descriptions.txt' and 'train_descriptions_counts.npy'.
Here is the speculative results.
'train_description.txt': each row is all the descritption of a video, like:
'a dog is running' 'a dog is walking' 'a dog in the ground'
'a cat is eating' 'a cat is drinking'
'train_descriptions_counts.npy'' : each row is the description number of a video, like:
3
2
Is the speculative results right? Could you please upload some description example of files used in your code, such as: caption.id.en, train_list.txt, train_descriptions.txt, train_descriptions_counts.npy and so on?
Looking forward for your reply.
Thank you!
Hey!
Great work, thank you so much for sharing the code.
I have a huge dataset of videos with a grade between 0 to 1 for each video.
This main thing is that there aren't annotated features on the frames.
I wish to alter your code in a way that i can predict the grade of a given video.
i think that a single grade can be treated as two classes of good&bad, or something such as this.
what do you think? can you focus me and aiming me on how to implement it using your code?
thanks a lot in advance!
I have already downloaded the MSVD dataset from http://www.cs.utexas.edu/users/ml/clamp/videoDescription/
but its format is nowhere similar to the one to be inputted in the subsample features.
Hi,
Great work, thank you so much for sharing the code.
Can you provide the data in here? It's really hard for me to find the data.
As follows:
./Images
video_[video_id]
[num_image].jpg
[num_image].jpg
./Annotations
test_list.txt
train_list.txt
val_list.txt
captions.id.en
./Features
test_[name_feat].csv
train_[name_feat].csv
val_[name_feat].csv
I am a beginner, looking forward to your reply.
Thank you very much for your help.
hi
After training, how we have to give input as single video and generate output, where we can store result
Dear Author,
It occurred a problem "KeyError : 'references' " in code "gts = extra_vars[split]['references']" in file evaluation.py when I ran main.py. After a long time for training, the programme stooped here.
I would like to know why this problem occurred and how can I fix it? On the other hand, how could I skip training stage directly run evaluation stage? Because every time I modify the code, I need to run main.py and waiting for training, although the training is correct.
I am new to this area, and looking forward to your apply.
Thank you!
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