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--- |
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tags: |
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- 3D Vision |
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- NeRF |
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- 3D Gaussian |
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- Dataset |
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- Novel View Synthesis |
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- Text to 3D |
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- Image to 3D |
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pretty_name: Dl3DV-Dataset |
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size_categories: |
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- 100B<n<1T |
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--- |
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# DL3DV-Dataset |
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This repo has all the 480P frames with camera poses of DL3DV-10K Dataset. We are working hard to review all the dataset to avoid sensitive information. Thank you for your patience. |
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# Download |
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If you have enough space, you can use git to download a dataset from huggingface. See this [link](https://huggingface.co/docs/hub/en/datasets-downloading). [480P](https://huggingface.co/datasets/DL3DV/DL3DV-ALL-480P)/[960P](https://huggingface.co/datasets/DL3DV/DL3DV-ALL-960P) versions should satisfies most needs. |
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If you do not have enough space, we further provide a [download script](https://github.com/DL3DV-10K/Dataset/blob/main/scripts/download.py) here to download a subset. The usage: |
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```Bash |
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usage: download.py [-h] --odir ODIR --subset {1K,2K,3K,4K,5K,6K,7K,8K,9K,10K} --resolution {4K,2K,960P,480P} --file_type {images+poses,video,colmap_cache} [--hash HASH] |
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[--clean_cache] |
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optional arguments: |
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-h, --help show this help message and exit |
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--odir ODIR output directory |
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--subset {1K,2K,3K,4K,5K,6K,7K,8K,9K,10K} |
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The subset of the benchmark to download |
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--resolution {4K,2K,960P,480P} |
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The resolution to donwnload |
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--file_type {images+poses,video,colmap_cache} |
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The file type to download |
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--hash HASH If set subset=hash, this is the hash code of the scene to download |
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--clean_cache If set, will clean the huggingface cache to save space |
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``` |
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Here are some examples: |
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```Bash |
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# Make sure you have applied for the access. |
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# Use this to download the download.py script |
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wget https://raw.githubusercontent.com/DL3DV-10K/Dataset/main/scripts/download.py |
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# Download 480P resolution images and poses, 0~1K subset, output to DL3DV-10K directory |
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python download.py --odir DL3DV-10K --subset 1K --resolution 480P --file_type images+poses --clean_cache |
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# Download 480P resolution images and poses, 1K~2K subset, output to DL3DV-10K directory |
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python download.py --odir DL3DV-10K --subset 2K --resolution 480P --file_type images+poses --clean_cache |
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``` |
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You can also download a specific scene with its hash. The scene-hash pair visualization can be found [here](https://htmlpreview.github.io/?https://github.com/DL3DV-10K/Dataset/blob/main/visualize/index.html). |
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```Bash |
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# Download 480P resolution images and poses, 1K~2K subset, output to DL3DV-10K directory |
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python download.py --odir DL3DV-10K --subset 2K --resolution 480P --file_type images+poses --hash e2cedefea8a0ed2d0ffbd5bdc08acbe7e1f85c96f72f7b790e9dfe1c98963047 --clean_cache |
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``` |
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# News |
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- [x] DL3DV-1K, 2K, 3K, 4K |
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- [ ] DL3DV-5K ~ 10K |
