Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

The lack of activitynet dataset. #6

Open
hugddygff opened this issue Jan 7, 2019 · 3 comments
Open

The lack of activitynet dataset. #6

hugddygff opened this issue Jan 7, 2019 · 3 comments

Comments

@hugddygff
Copy link

About three weeks ago, I asked some questions about the download of the dataset. Now I have download about 18000 video clips, however about 2000 videos are not available. So if possible, I want to ask for help from you. I have sent an email with the lost video ids to your mailbox.

@tanghaoyu258
Copy link

excuse me, i have some trouble when reimplementing your model through Pytorch. Could you please tell me the effects of the function 'group_by_window' you've applied on the training dataset? i've read the official explanation of the function and i guess it might split the training set according to the length of the reference video divided by the bucket_span. Am i right ? But i also noticed that some reference video with length larger than 300 have been droped after such processing, which confused me a lot . i'd be very appreciate if you could help me ...

@fengyang0317
Copy link
Owner

@tanghaoyu258
group_by_window is used to improve running speed. It is safe to remove it.
dynamic_rnn will be run n steps, where n is the length of the longest sequence in a batch.

@tanghaoyu258
Copy link

Thank u for your explanation!

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

3 participants