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import os |
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from pathlib import Path |
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import numpy as np |
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import tqdm |
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from PIL import Image |
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def convert(input, output): |
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img = np.asarray(Image.open(input)) |
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assert img.dtype == np.uint8 |
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img = img - 1 |
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Image.fromarray(img).save(output) |
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if __name__ == "__main__": |
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dataset_dir = Path(os.getenv("DETECTRON2_DATASETS", "datasets")) / "ADEChallengeData2016" |
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for name in ["validation"]: |
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annotation_dir = dataset_dir / "annotations" / name |
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output_dir = dataset_dir / "annotations_detectron2" / name |
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output_dir.mkdir(parents=True, exist_ok=True) |
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for file in tqdm.tqdm(list(annotation_dir.iterdir())): |
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output_file = output_dir / file.name |
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convert(file, output_file) |