


from pathlib import Path

import cva
import numpy as np
from matplotlib import pyplot as plt
def     __lowerCamelCase						(			UpperCAmelCase_						:		List[str]			,  UpperCAmelCase_						:		str			,  UpperCAmelCase_						:		List[str]			,  UpperCAmelCase_						:		Optional[int]			,  UpperCAmelCase_						:		Union[str, Any]						):




      """simple docstring"""





      a						:List[str]										=	cva.getAffineTransform(a__			,  a__						)
      return cva.warpAffine(a__			,  a__			,  (rows, cols)						)


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

     # set different points to rotate image
     snake_case    :   str	    =					np.array([[50, 50], [2_00, 50], [50, 2_00]], np.floataa)
     snake_case    :   Union[str, Any]	    =					np.array([[10, 1_00], [2_00, 50], [1_00, 2_50]], np.floataa)
     snake_case    :   Tuple	    =					np.array([[50, 50], [1_50, 50], [1_20, 2_00]], np.floataa)
     snake_case    :   Tuple	    =					np.array([[10, 1_00], [80, 50], [1_80, 2_50]], np.floataa)

     # add all rotated images in a list
     snake_case    :   Tuple	    =					[
         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
     snake_case    :   Union[str, Any]	    =					plt.figure(1)
     snake_case    :   str	    =					['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=0.05, right=1.0, top=0.95)
     plt.show()









# limitations under the License.

# NOTE: This file is deprecated and will be removed in a future version.
# It only exists so that temporarely `from diffusers.pipelines import DiffusionPipeline` works

from .pipelines import DiffusionPipeline, ImagePipelineOutput  # noqa: F401
from .utils import deprecate


deprecate(
    '''pipelines_utils''',
    '''0.22.0''',
    '''Importing `DiffusionPipeline` or `ImagePipelineOutput` from diffusers.pipeline_utils is deprecated. Please import from diffusers.pipelines.pipeline_utils instead.''',
    standard_warn=False,
    stacklevel=3,
)





