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niujinshuchong committed Dec 16, 2022
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# Data Format and Datasets

This is a short documentation of SDF Studio's data format and datasets, organized as follows:
This is a short documentation of SDFStudio's data format and datasets, organized as follows:

- [Data format](#Dataset-format)
- [Existing datasets](#Existing-dataset)
- [Customize your own dataset](#Custom-dataset)
- [Customize your own dataset](#Customize-your-own-dataset)

# Data Format
We use scan65 of the DTU dataset to show how SDF Studio's data structures are organized:
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"height": 384, # height of the images
"width": 384, # width of the images
"has_mono_prior": true, # use monocular cues or not
"pairs": "paris.txt", # pairs file used for multi-view photometric consistency loss
"pairs": "pairs.txt", # pairs file used for multi-view photometric consistency loss
"worldtogt": [[ 1, 0, 0, 0], # world to gt transformation (useful for evauation)
[ 0, 1, 0, 0],
[ 0, 0, 1, 0],
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```
# Existing datasets

We adapted the datasets used in MonoSDF to the SDF Studio format. They can be downloaded as follows:
We adapted the datasets used in MonoSDF to the SDFStudio format. They can be downloaded as follows:
```
ns-download-data sdfstudio --dataset-name DATASET_NAME
```
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# Customize your own dataset

You can also implement your own data parser to use any other dataset or convert your own dataset to SDF Studio's data format. Here, we provide an example for converting the ScanNet dataset to SDF Studio's data format.
You can implement your own data parser to use your own dataset or convert your dataset to SDFStudio's data format. Here, we provide an example for converting the ScanNet dataset to SDF Studio's data format.
```bash
python scripts/datasets/process_scannet_to_sdfstudio.py --input_path /your_path/datasets/scannet/scene0050_00 --output_path data/custom/scannet_scene0050_00
```
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