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@ -442,10 +442,11 @@ class sbb_predict:
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self.img_org = np.copy(img)
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if img.shape[0] < self.img_height:
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img = cv2.resize(img, (img.shape[1], self.img_width), interpolation=cv2.INTER_NEAREST)
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img = self.resize_image(img, self.img_height, img.shape[1])
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if img.shape[1] < self.img_width:
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img = cv2.resize(img, (self.img_height, img.shape[0]), interpolation=cv2.INTER_NEAREST)
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img = self.resize_image(img, img.shape[0], self.img_width)
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margin = int(0.1 * self.img_width)
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width_mid = self.img_width - 2 * margin
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height_mid = self.img_height - 2 * margin
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