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import numpy as np |
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import cv2 |
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def crop_face(img, lmk_extractor, expand=1.5): |
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result = lmk_extractor(img) |
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if result is None: |
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return None |
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H, W, _ = img.shape |
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lmks = result['lmks'] |
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lmks[:, 0] *= W |
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lmks[:, 1] *= H |
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x_min = np.min(lmks[:, 0]) |
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x_max = np.max(lmks[:, 0]) |
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y_min = np.min(lmks[:, 1]) |
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y_max = np.max(lmks[:, 1]) |
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width = x_max - x_min |
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height = y_max - y_min |
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center_x = x_min + width / 2 |
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center_y = y_min + height / 2 |
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width *= expand |
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height *= expand |
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size = max(width, height) |
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x_min = int(center_x - size / 2) |
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x_max = int(center_x + size / 2) |
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y_min = int(center_y - size / 2) |
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y_max = int(center_y + size / 2) |
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top = max(0, -y_min) |
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bottom = max(0, y_max - img.shape[0]) |
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left = max(0, -x_min) |
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right = max(0, x_max - img.shape[1]) |
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img = cv2.copyMakeBorder(img, top, bottom, left, right, cv2.BORDER_CONSTANT, value=0) |
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cropped_img = img[y_min + top:y_max + top, x_min + left:x_max + left] |
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return cropped_img |
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