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import glob |
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import os |
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import cv2 |
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IMGS_DIR = "./images" |
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MASKS_DIR = "./masks" |
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OUTPUT_DIR = "./output" |
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TARGET_SIZE = 512 |
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img_paths = glob.glob(os.path.join(IMGS_DIR, "*.tif")) |
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mask_paths = glob.glob(os.path.join(MASKS_DIR, "*.tif")) |
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img_paths.sort() |
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mask_paths.sort() |
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os.makedirs(OUTPUT_DIR) |
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for i, (img_path, mask_path) in enumerate(zip(img_paths, mask_paths)): |
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img_filename = os.path.splitext(os.path.basename(img_path))[0] |
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mask_filename = os.path.splitext(os.path.basename(mask_path))[0] |
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img = cv2.imread(img_path) |
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mask = cv2.imread(mask_path) |
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assert img_filename == mask_filename and img.shape[:2] == mask.shape[:2] |
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k = 0 |
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for y in range(0, img.shape[0], TARGET_SIZE): |
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for x in range(0, img.shape[1], TARGET_SIZE): |
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img_tile = img[y:y + TARGET_SIZE, x:x + TARGET_SIZE] |
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mask_tile = mask[y:y + TARGET_SIZE, x:x + TARGET_SIZE] |
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if img_tile.shape[0] == TARGET_SIZE and img_tile.shape[1] == TARGET_SIZE: |
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out_img_path = os.path.join(OUTPUT_DIR, "{}_{}.jpg".format(img_filename, k)) |
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cv2.imwrite(out_img_path, img_tile) |
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out_mask_path = os.path.join(OUTPUT_DIR, "{}_{}_m.png".format(mask_filename, k)) |
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cv2.imwrite(out_mask_path, mask_tile) |
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k += 1 |
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print("Processed {} {}/{}".format(img_filename, i + 1, len(img_paths))) |
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