add get_rotate_crop_image
@@ -506,5 +506,40 @@ def draw_boxes(image, boxes, scores=None, drop_score=0.5):
return image
+def get_rotate_crop_image(img, points):
+ '''
+ img_height, img_width = img.shape[0:2]
+ left = int(np.min(points[:, 0]))
+ right = int(np.max(points[:, 0]))
+ top = int(np.min(points[:, 1]))
+ bottom = int(np.max(points[:, 1]))
+ img_crop = img[top:bottom, left:right, :].copy()
+ points[:, 0] = points[:, 0] - left
+ points[:, 1] = points[:, 1] - top
+ '''
+ assert len(points) == 4, "shape of points must be 4*2"
+ img_crop_width = int(
+ max(
+ np.linalg.norm(points[0] - points[1]),
+ np.linalg.norm(points[2] - points[3])))
+ img_crop_height = int(
+ max(
+ np.linalg.norm(points[0] - points[3]),
+ np.linalg.norm(points[1] - points[2])))
+ pts_std = np.float32([[0, 0], [img_crop_width, 0],
+ [img_crop_width, img_crop_height],
+ [0, img_crop_height]])
+ M = cv2.getPerspectiveTransform(points, pts_std)
+ dst_img = cv2.warpPerspective(
+ img,
+ M, (img_crop_width, img_crop_height),
+ borderMode=cv2.BORDER_REPLICATE,
+ flags=cv2.INTER_CUBIC)
+ dst_img_height, dst_img_width = dst_img.shape[0:2]
+ if dst_img_height * 1.0 / dst_img_width >= 1.5:
+ dst_img = np.rot90(dst_img)
+ return dst_img
+
+
if __name__ == '__main__':
pass
