| --- |
| tags: |
| - 3D Vision |
| - NeRF |
| - 3D Gaussian |
| - Dataset |
| - Novel View Synthesis |
| - Text to 3D |
| - Image to 3D |
| pretty_name: Dl3DV-Dataset |
| size_categories: |
| - n>1T |
| --- |
| |
| # DL3DV-Dataset |
| This repo has all the colmap caches for the DL3DV-10K Dataset. We are working hard to review all the dataset to avoid sensitive information. Thank you for your patience. |
|
|
| # Download |
| 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). |
|
|
| 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: |
| ```Bash |
| 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] |
| [--clean_cache] |
| |
| optional arguments: |
| -h, --help show this help message and exit |
| --odir ODIR output directory |
| --subset {1K,2K,3K,4K,5K,6K,7K,8K,9K,10K} |
| The subset of the benchmark to download |
| --resolution {4K,2K,960P,480P} |
| The resolution to donwnload |
| --file_type {images+poses,video,colmap_cache} |
| The file type to download |
| --hash HASH If set subset=hash, this is the hash code of the scene to download |
| --clean_cache If set, will clean the huggingface cache to save space |
| ``` |
|
|
| Here are some examples: |
| ```Bash |
| # Make sure you have applied for the access. |
| # Use this to download the download.py script |
| wget https://raw.githubusercontent.com/DL3DV-10K/Dataset/main/scripts/download.py |
| |
| # Download colmap cache for 0~1K subset, output to DL3DV-10K directory, ignore the resolution options |
| python download.py --odir DL3DV-10K --subset 1K --resolution 480P --file_type colmap_cache --clean_cache |
| ``` |
|
|
| 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) |
| ```Bash |
| # Download colmap cache for e2cedefea8a0ed2d0ffbd5bdc08acbe7e1f85c96f72f7b790e9dfe1c98963047, output to DL3DV-10K directory, ignore the resolution options |
| python download.py --odir DL3DV-10K --subset 1K --resolution 480P --file_type colmap_cache --hash e2cedefea8a0ed2d0ffbd5bdc08acbe7e1f85c96f72f7b790e9dfe1c98963047 --clean_cache |
| |
| ``` |
|
|
|
|
| # News |
| - [x] DL3DV-1K, 2K, 3K, 4K |
| - [ ] DL3DV-5K ~ 10K |
