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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates.
import numpy as np
import os
from pathlib import Path
import tqdm
from PIL import Image
def convert(input, output):
img = np.asarray(Image.open(input))
assert img.dtype == np.uint8
img = img - 1 # 0 (ignore) becomes 255. others are shifted by 1
Image.fromarray(img).save(output)
if __name__ == "__main__":
dataset_dir = Path(os.getenv("DETECTRON2_DATASETS", "datasets")) / "ADEChallengeData2016"
for name in ["training", "validation"]:
annotation_dir = dataset_dir / "annotations" / name
output_dir = dataset_dir / "annotations_detectron2" / name
output_dir.mkdir(parents=True, exist_ok=True)
for file in tqdm.tqdm(list(annotation_dir.iterdir())):
output_file = output_dir / file.name
convert(file, output_file)
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