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 meaning of 'NUM_TRAIN_SAMPLES', 'NUM_TEST_SAMPLES' and the question of the discriminator. #70

Open
XiaobenLi00 opened this issue Nov 18, 2023 · 0 comments

Comments

@XiaobenLi00
Copy link

Thanks a lot for your great work!
I have two questions.

  1. I notice 'NUM_TRAIN_SAMPLES' and 'NUM_TEST_SAMPLES' in the config file and thety seems to be used in the model, but I am not sure what do they mean, could you provide more details?
  2. When training HMR2, the adverserial loss is also used as in HMR, but I notice that you use different hyper-parameters, e.g., learning rate of the discriminator, the weight of the losses. So I am wondering the performance of different settings. In my understanding, for the unpaired setting of HMR, the adverserial loss is critical, but for HMR2, there are pseudo SMPL annotations for all training data, so the adverserial loss plays a different (maybe less important) role, right? I try to use the config of HMR2 for the unpaired setting, but it not seems to work well. I'd appreciate if you could give me some advice.
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

1 participant