Comments (3)
davnov134
commented on July 22, 2024
Hello, the camera convention used in v2 is the latest isotropic-ndc convention from pytorch3d.
If you update to the latest version of pytorch3d (with Implicitron), all cameras will be loaded correctly. Please do not use the original co3d_v1 dataloader, it will not work. Make sure to only use the one packaged inside pytorch3d (for both v1 and v2).
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ghy0324
commented on July 22, 2024
@jeongyw12382 Hi! I met the same problem. Have you understood the definition of camera parameters in v2?
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shapovalov
commented on July 22, 2024
@ghy0324 Have you updated your data loader code (e.g. with PyTorch3D)? This is the only supported data loader: https://github.com/facebookresearch/pytorch3d/blob/main/pytorch3d/implicitron/dataset/json_index_dataset_map_provider_v2.py
There was indeed a change in the camera coordinate conventions that reflects the change in PyTorch3D.
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Related Issues (20)
- get_eval_batches_map returns wrong shape of results HOT 1
- Statistics for v2 HOT 2
- Wrong depth mask in the dataset HOT 8
- Pure black frames in single sequence dataset HOT 1
- ValueError: setting an array element with a sequence. The requested array has an inhomogeneous shape after 1 dimensions. The detected shape was (489786,) + inhomogeneous part.
- (1) Where are camera parameters stored in the dataset? (2) About depth-pointcloud consistency. HOT 2
- How to filter samples/sequences with GT depth map and camera matrices? HOT 1
- Centering camera extrinsics to find absolute positions HOT 1
- Downloading issue HOT 5
- Data relationship difference between v1 and v2 HOT 2
- Pytorch independent usage convention HOT 2
- Is it possible to download only one category? HOT 2
- Camera Position Plots Don't Seem to Match Expected Circular Motion HOT 3
- Missing depth information for apple HOT 1
- Difference between v1 and v2 HOT 1
- How to only get 3d point Cloud?
- Camera Intrinsic parameter HOT 2
- Filter accurate pointclouds HOT 6
- CO3D Depth Unit HOT 1
- Confusion about the camera extrinsics HOT 2
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