cvondrick / videogan Goto Github PK

Hi @cvondrick I'm trying to generate a conditional model with main_conditional.lua. The README.md says that a conditional model is trained on a single static image. So, I created a job_list.txt containing a single line referencing a single jpeg file, and ran stabilize_videos_many.py, which extracted a single scene. I then ran main_conditional.lua against the extracted scene. This resulted in 100 iterations through the dataset, and then the program stopped, without saving a model. It looks like main_conditional.lua expects to run 1000 iterations through the dataset, but when I run main_conditional.lua against a single scene, it only run 100 iterations.

Is there something I should be doing differently? Should I run main_conditional.lua against several identical scenes to mimic a larger dataset? Should I simply set niter to a higher number, or saveIter to a lower one?

Thanks to you and your colleagues for sharing this great work!

I just ran generate.lua and I get a gif file, which size is 384 pixels and 1408 pixels, which mean that 6 gifs have been stacked horizontally and 22 gifs vertically. I checked the code, and nothing suggests to me, where these stacking is happening. What do I have to change, that the output is only a 64x64 image ?

Hi, Carl！
Wonderful job! I just want to know where can I download the file mentioned in your code: /data/vision/torralba/hallucination/UCF101/gan/train.txt

Best regards.

It seems that the models you released only contain the the two streams part and the discriminator. Can you also share the image encoder part for future generation? (And also the model of baby videos, if possible)

Thanks!

Can you please give an example of full URL for downloading files from the golf.txt mentioned on your website?

http://data.csail.mit.edu/videogan/golf.txt

Hi Carl,can you also share the pretrained model for future generation? （This is similar to the request made by @Yuliang-Zou and @17Skye17 before）Before you said this can be done, maybe you forgot to update it ？ This will be very helpful to me.Thank you so much~

So I want to run this on 32x32 frames? What all changes will I have to make for this to work?
Is there any short way to do it or will I have to hack through the entire code?

Can you share the pre-trained model on UCF101 for the conditional generation?

Hello,Carl. : )
Can you provide pretrained model for conditional generation?
Thank you. @cvondrick

Is there a PyTorch version of the code or do the authors of the paper wish to release it?

It might be helpful to use it.

The article says there's 7 TB of files, they could be published as a set of torrent files that could be community-seeded from different machines.

It makes sense to split them to amounts individually downloadable to a typical machine (e.g. 7 torrents for 1 tb each)

Hi

When I try to run main.lua I get this error message :

/data/vision/torralba/crossmodal/flickr_videos/scene_extract/lists-full/_b_beach.txt.train : No such file or directory

Do I have to manually download all the txt file of your project or is there a lua script in the project, which downloads all the data ?