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--- |
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tags: |
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- 3D vision |
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- novel view synthesis |
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- NeRF |
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- 3D Gaussian Splatting |
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- Generalizable NeRF |
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- Generative Methods |
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- text-to-3d |
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- image-to-3d |
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pretty_name: DL3DV |
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size_categories: |
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- 100B<n<1T |
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--- |
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# DL3DV Testing Split Download Instructions |
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This repo contains all 55 scenes for evaluation. **Note: it is an independent dataset, and none of its scenes overlap with those in DL3DV-10K**. Have a galance on the preview page: https://dl3dv-10k.github.io/DL3DV-Testing-Split-Preview/. |
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# Download |
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As the whole benchmark dataset is ~500G, a python [script](https://huggingface.co/datasets/DL3DV/DL3DV-Testing-Split/blob/main/download.py) to download and untar files. |
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### Environment Setup |
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The download script relies on `huggingface hub`, `tqdm`. You can download by the following command in your python environment. The download script was |
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```bash |
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pip install huggingface_hub tqdm |
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``` |
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After downloading `huggingface_hub`, remember to login first to get ready for download. |
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```bash |
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# in terminal, use the following command and your huggingface token to login |
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huggingface-cli login |
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``` |
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### Download the testing split |
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After downloading this [script](https://huggingface.co/datasets/DL3DV/DL3DV-Testing-Split/blob/main/download.py), use this command: |
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``` bash |
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# download the testing split to local directory called ./DL3DV-Evaluation. workers will affect the untar speed. |
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python download.py --dst ./DL3DV-Evaluation --workers 8 |
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``` |
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