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CityscapeDataset์ผ๋ก ๋ณ๊ฒฝ ์ ์ค๋ฅ
ํ ๊ฐ์ง ์๋ํด๋ณด๊ณ ์๋ ๋ถ๋ถ์, coco ํฌ๋งท์ผ๋ก ๋ณํํ ๋ ์ฐ๋ ํจ์์์def convert_nucleus_to_coco(data_root_dir, image_ids, out_file): ..categories๋ฅผ ๊ธฐ์กด '0', 'nulceus'์์ cityscapedataset ์นดํ ๊ณ ๋ฆฌ์ ๋ง๊ฒ 8๊ฐ๋ก ๋๋ ค์ train.json๊ณผ val.json์ ๋ฝ์๋ณด๊ณ ์ ํจ์ธ๋ฐ์,nucleus๋ง ์ธ์ํ๊ฒ๋ ํ๋ ์ด๋ ํ ์ฝ๋๋ ํจํค์ง๊ฐ ๊น๋ ค์์ด ์นดํ ๊ณ ๋ฆฌ๋ฅผ ๋ฐ๋ก ์ธ์ํ์ง ์๋ ๊ฒ ๊ฐ์ต๋๋ค. # images ์ annotations, categories list๋ฅผ ์ต์ข Dict๋ก ๋ณํํ๊ณ json ํ์์ผ๋ก ์ถ๋ ฅ. categories = [{'id':1, 'name':'road'},{'id':2, 'name':'vegetation'},{'id':3, 'name':'sidewalk'}, {'id':4, 'name':'car'},{'id':5, 'name':'building'},{'id':6, 'name':'person'}, {'id':7, 'name':'sky'},{'id':8, 'name':'bicycle'}] coco_format_json = dict( images = images, annotations = annotations, categories = categories )
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mask_rcnnํ์ฉ, ๋ฐ์ดํฐ coco ํฌ๋งท ๋ณํ ์ค๋ฅ
์! ์์ธ์ ์ ๊ฒ ๊ฐ์ต๋๋ค.'convert_nucleus_to_coco' ํจ์์์ image_path ๋งจ ๋ค์ ๋ถ์ + '.png' ๋ถ๋ถ์ ์ ๊ฑฐํ๋ ๊ธฐ์กด ํ์ผ๋ช ๊ณผ ์ผ์นํ์ฌ ๋์๊ฐ๋๋ค! image_path = os.path.join(image_id_dir, 'image/' + image_id)
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