[Project] add Ravir dataset project in dev-1.x #2635
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xiexinch
reviewed
May 16, 2023
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| imgs = glob.glob(os.path.join('./masks/train', '*.png')) | ||
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| for im_path in tqdm(imgs): | ||
| im = Image.open(im_path) | ||
| imn = np.array(im) | ||
| imn[imn == 255] = 2 | ||
| imn[imn == 128] = 1 | ||
| imn[imn == 0] = 0 | ||
| new_im = Image.fromarray(imn) | ||
| new_im.save(im_path) |
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Here is the directory structure, I don't think this script will work well. Could you update it?
$ tree data/RAVIR\ Dataset -L 2
data/RAVIR\ Dataset
├── test
│ ├── IR_Case_006.png
│ ├── IR_Case_024.png
│ ├── IR_Case_025.png
│ ├── IR_Case_028.png
│ ├── IR_Case_030.png
│ ├── IR_Case_031.png
│ ├── IR_Case_032.png
│ ├── IR_Case_033.png
│ ├── IR_Case_037.png
│ ├── IR_Case_042.png
│ ├── IR_Case_045.png
│ ├── IR_Case_046.png
│ ├── IR_Case_047.png
│ ├── IR_Case_048.png
│ ├── IR_Case_050.png
│ ├── IR_Case_054.png
│ ├── IR_Case_057.png
│ ├── IR_Case_059.png
│ └── IR_Case_060.png
└── train
├── training_images
└── training_masks
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| - download dataset from [here](https://ravir.grand-challenge.org/) and decompression data to path `'data/'`. | ||
| - run script `"python tools/prepare_dataset.py"` to split dataset and change folder structure as below. | ||
| - run script `"python ../../tools/split_seg_dataset.py"` to split dataset and generate `train.txt`, `val.txt` and `test.txt`. If the label of official validation set and test set can't be obtained, we generate `train.txt` and `val.txt` from the training set randomly. |
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Might update these steps and it's better to list the original directory structure.
xiexinch
approved these changes
May 23, 2023
nahidnazifi87
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Apr 5, 2024
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