File size: 2,069 Bytes
a515a14 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 | # ControlNet Dataset Preprocessing Tool
This script processes a dataset (e.g. COCO-Caption2017) to generate ControlNet-compatible training data, such as Canny edge maps or depth maps.
## Usage
```bash
python -m {dataset_name}.preprocess [OPTIONS]
```
For example:
```bash
python -m coco.preprocess \
--output_dir ./controlnet_data \
--cn_type canny \
--sample_size 10000 \
--enable_blur \
--dataset COCO-Caption2017 \
--split val
```
## Command Line Arguments
| Argument | Type | Default | Description |
|----------|------|---------|-------------|
| `--output_dir` | `str` | `../dataset/controlnet_datasets` | Directory where the processed data will be saved. |
| `--cn_type` | `str` | `canny` | Type of control map to generate. Options: `canny`, `depth`. |
| `--sample_size` | `int` | `5000` | Maximum number of samples to process. |
| `--enable_blur` | flag | `False` | Enable Gaussian blur preprocessing for Canny edge detection. |
| `--blur_kernel_size` | `int` | `3` | Kernel size used for Gaussian blur (must be odd). |
| `--dataset` | `str` | `COCO-Caption2017` | Name of the dataset to use. |
| `--split` | `str` | `val` | Dataset split to process (`train`, `val`, etc.). |
| `--enable_no_prompt` | flag | `False` | If set, removes prompts from the output. |
| `--random_sample` | flag | `False` | If set, randomly samples from the dataset instead of sequential order. |
## Notes
- **Canny mode** uses OpenCV edge detection; enabling `--enable_blur` can improve edge clarity.
- This tool is often used to generate paired image/control map datasets for ControlNet training or finetuning.
## Dependencies
Make sure to install any required packages before running the script:
```bash
pip install opencv-python tqdm
```
## Output Structure
The script will generate a directory with the following structure:
```
output_dir/
├── images/
│ ├── 000001.jpg
│ └── ...
├── controls/
│ ├── 000001.png # e.g., Canny edge or depth map
│ └── ...
└── meta.json # Optional metadata
```
|