imwarp_quadrangles

imwarp_quadrangles(img: np.ndarray, polygons: Union[Polygons, np.ndarray]) -> np.ndarray

• Description: Apply perspective transformation to the input image using the 4 points defined by the given "multiple" polygons. The function automatically sorts the four points in the order: the first point is the top-left corner, the second point is the top-right corner, the third point is the bottom-right corner, and the fourth point is the bottom-left corner. The target size of the image transformation is determined by the width and height of the minimum bounding rectangle of the polygons.

• Parameters:

  • img (np.ndarray): Input image to be transformed.
  • polygons (Union[Polygons, np.ndarray]): Polygon objects containing the four points defining the transformation for "multiple" polygons.

• Returns:

  • List[np.ndarray]: List of transformed images.

• Example:

  import docsaidkit as D
  
  img = D.imread('./resource/test_warp.jpg')
  polygons = D.Polygons([[[602, 404], [1832, 530], [1588, 985], [356, 860]]])
  warp_imgs = D.imwarp_quadrangles(img, polygons)

  Please refer to the picture imwarp_quadrangle。