55 lines
1.5 KiB
Python
55 lines
1.5 KiB
Python
# DanBooru IMage Utility functions
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import cv2
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import numpy as np
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from PIL import Image
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def smart_imread(img, flag=cv2.IMREAD_UNCHANGED):
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if img.endswith(".gif"):
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img = Image.open(img)
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img = img.convert("RGB")
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img = cv2.cvtColor(np.array(img), cv2.COLOR_RGB2BGR)
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else:
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img = cv2.imread(img, flag)
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return img
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def smart_24bit(img):
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if img.dtype is np.dtype(np.uint16):
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img = (img / 257).astype(np.uint8)
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if len(img.shape) == 2:
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img = cv2.cvtColor(img, cv2.COLOR_GRAY2BGR)
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elif img.shape[2] == 4:
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trans_mask = img[:, :, 3] == 0
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img[trans_mask] = [255, 255, 255, 255]
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img = cv2.cvtColor(img, cv2.COLOR_BGRA2BGR)
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return img
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def make_square(img, target_size):
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old_size = img.shape[:2]
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desired_size = max(old_size)
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desired_size = max(desired_size, target_size)
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delta_w = desired_size - old_size[1]
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delta_h = desired_size - old_size[0]
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top, bottom = delta_h // 2, delta_h - (delta_h // 2)
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left, right = delta_w // 2, delta_w - (delta_w // 2)
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color = [255, 255, 255]
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new_im = cv2.copyMakeBorder(
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img, top, bottom, left, right, cv2.BORDER_CONSTANT, value=color
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)
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return new_im
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def smart_resize(img, size):
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# Assumes the image has already gone through make_square
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if img.shape[0] > size:
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img = cv2.resize(img, (size, size), interpolation=cv2.INTER_AREA)
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elif img.shape[0] < size:
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img = cv2.resize(img, (size, size), interpolation=cv2.INTER_CUBIC)
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return img
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