code: 
  
  
  
  
  
  from cva import COLOR_BGR2GRAY, cvtColor, imread, imshow, waitKey
  from numpy import array, dot, pad, ravel, uinta, zeros
  
  
  
  
  
  
  
  def       lowerCAmelCase__(	lowercase       :    Dict   ,     lowercase       :    Optional[Any]				) ->    Any:
    __snake_case    ,   __snake_case   :				str        =       image.shape
    __snake_case   :				Tuple        =       cols - block_size[1] + 1
    __snake_case   :				Union[str, Any]        =       rows - block_size[0] + 1
    __snake_case   :				Tuple        =       zeros((dst_height * dst_width, block_size[1] * block_size[0])				)
    __snake_case   :				List[str]        =       0
    for i in range(0   ,     lowercase				):
      for j in range(0   ,     lowercase				):
        __snake_case   :				Optional[Any]        =       ravel(image[i : i + block_size[0], j : j + block_size[1]]				)
        __snake_case   :				Tuple        =       window
        row += 1
  
    return image_array
  
  
  
  
  
  
  
  def       lowerCAmelCase__(	lowercase       :    str   ,     lowercase       :    int				) ->    Any:
    __snake_case    ,   __snake_case   :				str        =       image.shape[0], image.shape[1]
    __snake_case   :				Union[str, Any]        =       filter_kernel.shape[0]
    __snake_case   :				Optional[Any]        =       k_size // 2
    # Pads image with the edge values of array.
    __snake_case   :				Dict        =       pad(lowercase   ,     lowercase   ,     mode="edge"				)
  
    # im2col, turn the k_size*k_size pixels into a row and np.vstack all rows
    __snake_case   :				str        =       imacol(lowercase   ,     (k_size, k_size)				)
  
    #  turn the kernel into shape(k*k, 1)
    __snake_case   :				List[Any]        =       ravel(lowercase				)
    # reshape and get the dst image
    __snake_case   :				Optional[int]        =       dot(lowercase   ,     lowercase				).reshape(lowercase   ,     lowercase				)
    return dst
  
  
  if __name__ == "__main__":
       # read original image
       _UpperCamelCase       = imread(R'''../image_data/lena.jpg''')
       # turn image in gray scale value
       _UpperCamelCase       = cvtColor(img, COLOR_BGR2GRAY)
       # Laplace operator
       _UpperCamelCase       = array([[0, 1, 0], [1, -4, 1], [0, 1, 0]])
       _UpperCamelCase       = img_convolve(gray, Laplace_kernel).astype(uinta)
       imshow('''Laplacian''', out)
       waitKey(0)
  
  
style_context: 
  
  
  
  
  
  from typing import TYPE_CHECKING
  
  from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available
  
  
  _UpperCamelCase       = {
      '''configuration_deta''': ['''DETA_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''DetaConfig'''],
  }
  
  try:
       if not is_vision_available():
            raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
       pass
  else:
       _UpperCamelCase       = ['''DetaImageProcessor''']
  
  try:
       if not is_torch_available():
            raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
       pass
  else:
       _UpperCamelCase       = [
           '''DETA_PRETRAINED_MODEL_ARCHIVE_LIST''',
           '''DetaForObjectDetection''',
           '''DetaModel''',
           '''DetaPreTrainedModel''',
       ]
  
  
  if TYPE_CHECKING:
       from .configuration_deta import DETA_PRETRAINED_CONFIG_ARCHIVE_MAP, DetaConfig
  
       try:
            if not is_vision_available():
                 raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
            pass
       else:
            from .image_processing_deta import DetaImageProcessor
  
       try:
            if not is_torch_available():
                 raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
            pass
       else:
            from .modeling_deta import (
                DETA_PRETRAINED_MODEL_ARCHIVE_LIST,
                DetaForObjectDetection,
                DetaModel,
                DetaPreTrainedModel,
            )
  
  else:
       import sys
  
       _UpperCamelCase       = _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)
  
  