Confusion about conditional model generation

[maxenglander]

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!

[rohanrc1997]

@maxenglander could you please share the UCF101/gan/train.txt file ?
Thanks!