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import numpy as np |
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from PIL import Image |
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def expand2square(pil_img, background_color): |
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width, height = pil_img.size |
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if width == height: |
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return pil_img |
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elif width > height: |
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result = Image.new(pil_img.mode, (width, width), background_color) |
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result.paste(pil_img, (0, (width - height) // 2)) |
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return result |
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else: |
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result = Image.new(pil_img.mode, (height, height), background_color) |
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result.paste(pil_img, ((height - width) // 2, 0)) |
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return result |
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def expand2square_mask(mask): |
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n_mask, width, height = mask.shape |
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if width == height: |
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return mask |
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elif width > height: |
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n_pad = width - height |
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n_pad_1 = n_pad // 2 |
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n_pad_2 = n_pad - n_pad_1 |
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pad_mask_1 = np.zeros((n_mask, width, n_pad_1), dtype=np.uint8) |
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pad_mask_2 = np.zeros((n_mask, width, n_pad_2), dtype=np.uint8) |
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result = np.concatenate([pad_mask_1, mask, pad_mask_2], axis=2) |
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return result |
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else: |
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n_pad = height - width |
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n_pad_1 = n_pad // 2 |
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n_pad_2 = n_pad - n_pad_1 |
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pad_mask_1 = np.zeros((n_mask, n_pad_1, height), dtype=np.uint8) |
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pad_mask_2 = np.zeros((n_mask, n_pad_2, height), dtype=np.uint8) |
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result = np.concatenate([pad_mask_1, mask, pad_mask_2], axis=1) |
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return result |
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def expand2square_bbox(bboxes, width, height): |
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bboxes = np.array(bboxes) |
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if width == height: |
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return bboxes |
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elif width > height: |
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n_pad = width - height |
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n_pad_1 = n_pad // 2 |
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n_pad_2 = n_pad - n_pad_1 |
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bboxes[:, 1] += n_pad_1 |
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return bboxes |
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else: |
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n_pad = height - width |
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n_pad_1 = n_pad // 2 |
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n_pad_2 = n_pad - n_pad_1 |
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bboxes[:, 0] += n_pad_1 |
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return bboxes |
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def expand2square_points(points, width, height): |
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if width == height: |
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return points |
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elif width > height: |
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n_pad = width - height |
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n_pad_1 = n_pad // 2 |
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n_pad_2 = n_pad - n_pad_1 |
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points[:, 1] += n_pad_1 |
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return points |
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else: |
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n_pad = height - width |
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n_pad_1 = n_pad // 2 |
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n_pad_2 = n_pad - n_pad_1 |
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points[:, 0] += n_pad_1 |
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return points |
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