custom dataset

[MaryneZa]

i have try this section for my custom data

`00:02:30 Runtime exception: arrays used as indices must be of integer (or boolean) type console_utils.py:393
╭─────────────────────────────────────────── Traceback (most recent call last) ───────────────────────────────────────────╮
│ /home/mare-4d/work/4K4D/easyvolcap/utils/console_utils.py:390 in inner │
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│ ❱ 390 │ │ │ │ return func(*args, **kwargs) │
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│ /home/mare-4d/work/4K4D/easyvolcap/scripts/main.py:272 in main │
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│ ❱ 272 │ else: globals()args.type # invoke this (call callable_from_cfg -> call_from_cfg) │
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│ /home/mare-4d/work/4K4D/easyvolcap/engine/registry.py:56 in inner │
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│ ❱ 56 │ │ return call_from_cfg(func, cfg) │
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│ /home/mare-4d/work/4K4D/easyvolcap/engine/registry.py:47 in call_from_cfg │
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│ ❱ 47 │ return func(**call_args) │
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│ /home/mare-4d/work/4K4D/easyvolcap/scripts/main.py:165 in test │
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│ ❱ 165 │ val_dataloader: "VolumetricVideoDataloader" = DATALOADERS.build(val_dataloader_cfg) # reuse the validataion │
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│ /home/mare-4d/work/4K4D/easyvolcap/engine/registry.py:300 in build │
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│ ❱ 300 │ │ return self.build_func(*args, **kwargs, registry=self) │
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│ /home/mare-4d/work/4K4D/easyvolcap/engine/registry.py:131 in build_from_cfg │
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│ ❱ 131 │ return call_from_cfg(obj_cls, args) │
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│ /home/mare-4d/work/4K4D/easyvolcap/engine/registry.py:47 in call_from_cfg │
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│ ❱ 47 │ return func(**call_args) │
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│ /home/mare-4d/work/4K4D/easyvolcap/dataloaders/volumetric_video_dataloader.py:94 in init │
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│ ❱ 94 │ │ dataset: VolumetricVideoDataset = DATASETS.build(dataset_cfg) │
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│ /home/mare-4d/work/4K4D/easyvolcap/engine/registry.py:300 in build │
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│ ❱ 300 │ │ return self.build_func(*args, **kwargs, registry=self) │
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│ /home/mare-4d/work/4K4D/easyvolcap/engine/registry.py:131 in build_from_cfg │
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│ ❱ 131 │ return call_from_cfg(obj_cls, args) │
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│ /home/mare-4d/work/4K4D/easyvolcap/engine/registry.py:47 in call_from_cfg │
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│ ❱ 47 │ return func(**call_args) │
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│ /home/mare-4d/work/4K4D/easyvolcap/dataloaders/datasets/image_based_dataset.py:56 in init │
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│ ❱ 56 │ │ call_from_cfg(super().init, kwargs, skip_loading_images=skip_loading_images) │
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│ /home/mare-4d/work/4K4D/easyvolcap/engine/registry.py:47 in call_from_cfg │
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│ ❱ 47 │ return func(**call_args) │
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│ /home/mare-4d/work/4K4D/easyvolcap/dataloaders/datasets/volumetric_video_dataset.py:287 in init │
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│ ❱ 287 │ │ │ self.load_bytes() # load image bytes (also load vhulls) │
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│ /home/mare-4d/work/4K4D/easyvolcap/dataloaders/datasets/volumetric_video_dataset.py:472 in load_bytes │
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│ ❱ 472 │ │ │ self.load_vhulls() # before cropping the mask (we need all the information we can get for visual hu │
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│ /home/mare-4d/work/4K4D/easyvolcap/dataloaders/datasets/volumetric_video_dataset.py:618 in load_vhulls │
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│ ❱ 618 │ │ │ │ vhulls, bounds, valid, inds = carve_using_bytes(H, W, K, R, T, latent_index) │
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│ /home/mare-4d/work/4K4D/easyvolcap/dataloaders/datasets/volumetric_video_dataset.py:575 in carve_using_bytes │
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│ ❱ 575 │ │ │ vhulls, bounds, valid, inds = hierarchically_carve_vhull(*inputs, │
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│ /home/mare-4d/work/4K4D/easyvolcap/utils/vhull_utils.py:173 in hierarchically_carve_vhull │
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│ ❱ 173 │ │ │ return hierarchical_space_carving(*args, **kwargs, voxel_size=voxel_size) │
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│ /home/mare-4d/work/4K4D/easyvolcap/utils/vhull_utils.py:238 in hierarchical_space_carving │
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│ ❱ 238 │ vhull, bounds, valid, inds = carve_vhull(H, W, K, R, T, │
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│ /home/mare-4d/work/4K4D/easyvolcap/utils/vhull_utils.py:156 in carve_vhull │
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│ ❱ 156 │ │ vhull = fcds_utils.remove_outlier(vhull[None], K=5, std_ratio=5.0)[0] │
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│ /home/mare-4d/work/4K4D/easyvolcap/utils/fcds_utils.py:306 in remove_outlier │
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│ ❱ 306 │ return torch.as_tensor(np.array(o3d_pcd.points)[np.array(ind)]).to(pcd.device, pcd.dtype, non_blocking=True). │
╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
IndexError: arrays used as indices must be of integer (or boolean) type
00:02:30 Preparing vhulls data/pose1/vhulls VAL 0% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0/300 0:00:04 < -:--:-- ? it/s v…
*** arrays used as indices must be of integer (or boolean) type

/home/mare-4d/work/4K4D/easyvolcap/utils/fcds_utils.py(306)remove_outlier()
304 if return_inds:
305 return torch.as_tensor(np.array(ind), device=pcd.device)[None] # N,
--> 306 return torch.as_tensor(np.array(o3d_pcd.points)[np.array(ind)]).to(pcd.device, pcd.dtype, non_blocking=True).vi
307
308 `

i found that "valid" eqauls to tensor([False, False, False, ..., False, False, False], device='cuda:0') all false, Do you have any suggestion ?