Comments (7)
Hi .@SherlockSunset. I am also facing the same issue. and even I tried with the same appearance and same geometry id. still was not getting the right results
Same appearance and same geometry id? you mean you can't get right results even you just utilize the trained weights that the author provided for each case?
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@SherlockSunset Hi, could you tell me how you were able to get colored models?
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Hi .@SherlockSunset. I am also facing the same issue. and even I tried with the same appearance and same geometry id. still was not getting the right results
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@ahnaf1393 these are the rendered images not the colored models.
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@SherlockSunset I tried it for my own trained model using the evaluation/eval_disentanglement.py script. but not getting the right results.
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@SherlockSunset for the author provided model i am getting the following error "ValueError: num_samples should be a positive integer value, but got num_samples=0
"
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@SherlockSunset for the author provided model i am getting the following error "ValueError: num_samples should be a positive integer value, but got num_samples=0 "
Hi, maybe you can double check whether the dataset id you are using is correct or not.
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Related Issues (20)
- Additional data in the cameras.npz files HOT 2
- cameras.npz file HOT 6
- question about evaluation HOT 1
- Colored mesh HOT 1
- RGB loss calculation HOT 1
- Geometric initialisation HOT 1
- How to render video? HOT 1
- Quantitative Evaluation on DTU HOT 2
- Question about the spherical tracing HOT 1
- How to get an initial cameras.npz file๏ผ HOT 5
- dividing dot product get nan in the result HOT 2
- The method for mask annotation. HOT 1
- Questions about Equation 3 in the paper HOT 1
- The meaning of `preprocess_cameras.py` HOT 1
- ResolvePackageNotFound Problem in Windows
- Confused about the implementation of equation 3 in the paper HOT 4
- Preprocessing data problem HOT 2
- Why transpose rotation matrix when load K, R and t from P?
- How to convert the NeRF synthetic dataset
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