Datasets:
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README.md
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---
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license: other
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task_categories:
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- image-to-image
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tags:
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- novel-view-synthesis
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- autonomous-driving
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- lidar
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- multi-view
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size_categories:
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- 10K<n<100K
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---
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# MHDCSM/cv_ds
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WebDataset-format shards of the autonomous driving novel-view-synthesis dataset.
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Splits:
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- `train-*.tar` — training samples (includes ground-truth target images)
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- `test-*.tar` — test samples (no targets)
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Each tar holds many samples. Per-sample files share a key (the `sample_id`):
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| Suffix | Content |
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|--------|---------|
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| `meta.json` | camera poses, intrinsics, timestamps, target camera name |
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| `t0.<cam>.jpg`, `t1.<cam>.jpg` | 6 camera views per timestamp |
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| `lidar.npz` | dense world-frame point cloud (xyz, intensity) |
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| `target.<cam>.jpg` | ground-truth target image (train only) |
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## Streaming usage
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```python
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import webdataset as wds
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url = "https://huggingface.co/datasets/MHDCSM/cv_ds/resolve/main/train-{000000..NNNNNN}.tar"
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ds = wds.WebDataset(url).decode()
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for sample in ds:
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meta = sample["meta.json"]
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img = sample["t0.front.jpg"]
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```
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