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  license: apache-2.0
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  ---
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- ## FlowOcc3D (3D Occypancy Flow Dataset)
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  Download [FlowOcc3D](https://huggingface.co/viewformer/ViewFormer-Occ/blob/main/occ_flow_sparse_ext.zip). Unzip it in `./data/nuscenes`.
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  Our FlowOcc3D assigns a flow vector to each foreground occupancy of [Occ3D](https://github.com/CVPR2023-3D-Occupancy-Prediction/CVPR2023-3D-Occupancy-Prediction).
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- Here we briefly introduce what the downloaded FlowOcc3D data looks like. We store the flow and index of the foreground voxels in the `.bin` file and the `_idx.bin` file.
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  ```python
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  W, H, Z = 200, 200, 16
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  sample_idx = results['sample_idx'] # nuScenes sample token
 
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  license: apache-2.0
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  ---
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+ # FlowOcc3D (3D Occypancy Flow Dataset)
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  Download [FlowOcc3D](https://huggingface.co/viewformer/ViewFormer-Occ/blob/main/occ_flow_sparse_ext.zip). Unzip it in `./data/nuscenes`.
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  Our FlowOcc3D assigns a flow vector to each foreground occupancy of [Occ3D](https://github.com/CVPR2023-3D-Occupancy-Prediction/CVPR2023-3D-Occupancy-Prediction).
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+ Here we briefly introduce how to use FlowOcc3D. We store the flow and index of each foreground voxel in the `xxx.bin` file and `xxx_idx.bin` file.
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  ```python
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  W, H, Z = 200, 200, 16
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  sample_idx = results['sample_idx'] # nuScenes sample token