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How to inference the model on custom image?

See original GitHub issue


Thanks for the great work. When I try to inference the model and loading the checkpoints (CO3D), with whatever script I always get such errors: ModuleNotFoundError: No module named 'unsup3d.

@Brummi Could you please guide me on how to inference custom images using the pre-trained CO3D models? Thanks!

Issue Analytics

  • State:open
  • Created a year ago
  • Comments:12 (5 by maintainers)

github_iconTop GitHub Comments

TouqeerAhmadcommented, Oct 27, 2022

Interestingly, I am able to load the model based on CelebA and run the co3d data with it by re-directing the checkpoint path:

cp_path = 'results/models/celebahq_nr/checkpoint005.pth'
model.load_model_state(torch.load(cp_path, map_location=device))

I get numbers like these as output: 19.8Hz Normal_l1: 1.14872 Normal_mse: 0.27270 Normal_dot: 0.40907 Normal_deviation: 47.53636 Albedo_sie: 0.07547 Albedo_l1: 0.85258 Albedo_ssim: 0.75887 Spec_l1: 0.11423 Spec_mse: 0.06137 Spec_sie: 0.04574

Brummicommented, Oct 27, 2022

The derender3d module was previously named unsup3d. So I guess this is some relict of refactoring the code for the github release. I am trying to check it right now.

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