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"""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 fill_transparent(image: Image.Image, color='WHITE'): |
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image = image.convert('RGBA') |
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new_image = Image.new('RGBA', image.size, color) |
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new_image.paste(image, mask=image) |
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image = new_image.convert('RGB') |
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return image |
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def resize(pic: Image.Image, size: int, keep_ratio=True) -> Image.Image: |
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if not keep_ratio: |
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target_size = (size, size) |
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else: |
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min_edge = min(pic.size) |
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target_size = ( |
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int(pic.size[0] / min_edge * size), |
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int(pic.size[1] / min_edge * size), |
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) |
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target_size = (target_size[0] & ~3, target_size[1] & ~3) |
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return pic.resize(target_size, resample=Image.Resampling.LANCZOS) |
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def smart_imread(img, flag=cv2.IMREAD_UNCHANGED): |
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""" Read an image, convert to 24-bit if necessary """ |
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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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""" Convert an image to 24-bit if necessary """ |
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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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""" Make an image square """ |
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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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""" Resize an image """ |
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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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