





from pathlib import Path

import cva
import numpy as np
from matplotlib import pyplot as plt
def      _A       (		SCREAMING_SNAKE_CASE     :   np.ndarray       ,       SCREAMING_SNAKE_CASE     :   np.ndarray       ,       SCREAMING_SNAKE_CASE     :   np.ndarray       ,       SCREAMING_SNAKE_CASE     :   int       ,       SCREAMING_SNAKE_CASE     :   int						):





  """simple docstring"""



  a__	:					Any										=cva.getAffineTransform(SCREAMING_SNAKE_CASE       ,       SCREAMING_SNAKE_CASE						)
  return cva.warpAffine(SCREAMING_SNAKE_CASE       ,       SCREAMING_SNAKE_CASE       ,       (rows, cols)						)


if __name__ == "__main__":
     # read original image
     UpperCAmelCase	:	Optional[Any]		     =       cva.imread(
         str(Path(__file__).resolve().parent.parent / """image_data""" / """lena.jpg""")
     )
     # turn image in gray scale value
     UpperCAmelCase	:	Tuple		     =       cva.cvtColor(image, cva.COLOR_BGR2GRAY)
     # get image shape
     UpperCAmelCase     ,	UpperCAmelCase	:	Optional[int]		     =       gray_img.shape

     # set different points to rotate image
     UpperCAmelCase	:	Optional[Any]		     =       np.array([[50, 50], [200, 50], [50, 200]], np.floataa)
     UpperCAmelCase	:	Optional[Any]		     =       np.array([[10, 100], [200, 50], [100, 250]], np.floataa)
     UpperCAmelCase	:	Dict		     =       np.array([[50, 50], [150, 50], [120, 200]], np.floataa)
     UpperCAmelCase	:	Any		     =       np.array([[10, 100], [80, 50], [180, 250]], np.floataa)

     # add all rotated images in a list
     UpperCAmelCase	:	Optional[Any]		     =       [
         gray_img,
         get_rotation(gray_img, ptsa, ptsa, img_rows, img_cols),
         get_rotation(gray_img, ptsa, ptsa, img_rows, img_cols),
         get_rotation(gray_img, ptsa, ptsa, img_rows, img_cols),
     ]

     # plot different image rotations
     UpperCAmelCase	:	int		     =       plt.figure(1)
     UpperCAmelCase	:	Any		     =       ["""Original""", """Rotation 1""", """Rotation 2""", """Rotation 3"""]
     for i, image in enumerate(images):
          plt.subplot(2, 2, i + 1), plt.imshow(image, """gray""")
          plt.title(titles[i])
          plt.axis("""off""")
          plt.subplots_adjust(left=0.0, bottom=0.0_5, right=1.0, top=0.9_5)
     plt.show()













from diffusers.utils.testing_utils import require_onnxruntime







@require_onnxruntime
class 				__lowerCAmelCase       :
      pass






