






import cva
import numpy as np

from digital_image_processing.filters.convolve import img_convolve
from digital_image_processing.filters.sobel_filter import sobel_filter

_UpperCamelCase       = 180







def       lowerCAmelCase__(	lowercase       :    Any   ,     lowercase       :    int				) ->    Dict:
  __snake_case   :				Union[str, Any]        =       k_size // 2
  __snake_case   :				Dict        =       np.mgrid[0 - center : k_size - center, 0 - center : k_size - center]
  __snake_case   :				Dict        =       (
      1
      / (2 * np.pi * sigma)
      * np.exp(-(np.square(lowercase				) + np.square(lowercase				)) / (2 * np.square(lowercase				))				)
  )
  return g







def       lowerCAmelCase__(	lowercase       :    List[str]   ,     lowercase       :    List[str]   ,     lowercase       :    int				) ->    List[Any]:
  __snake_case   :				Union[str, Any]        =       np.zeros(lowercase				)

  for row in range(1   ,     image_shape[0] - 1				):
    for col in range(1   ,     image_shape[1] - 1				):
      __snake_case   :				Union[str, Any]        =       gradient_direction[row, col]

      if (
          0 <= direction < PI / 8
          or 15 * PI / 8 <= direction <= 2 * PI
          or 7 * PI / 8 <= direction <= 9 * PI / 8
      ):
        __snake_case   :				Any        =       sobel_grad[row, col - 1]
        __snake_case   :				Union[str, Any]        =       sobel_grad[row, col + 1]
        if sobel_grad[row, col] >= w and sobel_grad[row, col] >= e:
          __snake_case   :				Any        =       sobel_grad[row, col]

      elif (
          PI / 8 <= direction < 3 * PI / 8
          or 9 * PI / 8 <= direction < 11 * PI / 8
      ):
        __snake_case   :				List[str]        =       sobel_grad[row + 1, col - 1]
        __snake_case   :				Optional[Any]        =       sobel_grad[row - 1, col + 1]
        if sobel_grad[row, col] >= sw and sobel_grad[row, col] >= ne:
          __snake_case   :				List[str]        =       sobel_grad[row, col]

      elif (
          3 * PI / 8 <= direction < 5 * PI / 8
          or 11 * PI / 8 <= direction < 13 * PI / 8
      ):
        __snake_case   :				Optional[int]        =       sobel_grad[row - 1, col]
        __snake_case   :				Optional[int]        =       sobel_grad[row + 1, col]
        if sobel_grad[row, col] >= n and sobel_grad[row, col] >= s:
          __snake_case   :				Union[str, Any]        =       sobel_grad[row, col]

      elif (
          5 * PI / 8 <= direction < 7 * PI / 8
          or 13 * PI / 8 <= direction < 15 * PI / 8
      ):
        __snake_case   :				int        =       sobel_grad[row - 1, col - 1]
        __snake_case   :				Any        =       sobel_grad[row + 1, col + 1]
        if sobel_grad[row, col] >= nw and sobel_grad[row, col] >= se:
          __snake_case   :				Optional[Any]        =       sobel_grad[row, col]

  return destination







def       lowerCAmelCase__(	lowercase       :    str   ,     lowercase       :    List[str]   ,     lowercase       :    Dict   ,     lowercase       :    List[str]   ,     lowercase       :    Union[str, Any]   ,     lowercase       :    Optional[int]				) ->    Union[str, Any]:
  for row in range(1   ,     image_shape[0] - 1				):
    for col in range(1   ,     image_shape[1] - 1				):
      if destination[row, col] >= threshold_high:
        __snake_case   :				List[str]        =       strong
      elif destination[row, col] <= threshold_low:
        __snake_case   :				str        =       0
      else:
        __snake_case   :				Dict        =       weak







def       lowerCAmelCase__(	lowercase       :    Optional[int]   ,     lowercase       :    Any   ,     lowercase       :    List[str]   ,     lowercase       :    Dict				) ->    str:
  for row in range(1   ,     image_shape[0]				):
    for col in range(1   ,     image_shape[1]				):
      if destination[row, col] == weak:
        if 255 in (
            destination[row, col + 1],
            destination[row, col - 1],
            destination[row - 1, col],
            destination[row + 1, col],
            destination[row - 1, col - 1],
            destination[row + 1, col - 1],
            destination[row - 1, col + 1],
            destination[row + 1, col + 1],
        ):
          __snake_case   :				List[Any]        =       strong
        else:
          __snake_case   :				str        =       0







def       lowerCAmelCase__(	lowercase       :    Dict   ,     lowercase       :    Any=15   ,     lowercase       :    Dict=30   ,     lowercase       :    Optional[int]=128   ,     lowercase       :    Union[str, Any]=255				) ->    Optional[Any]:
  # gaussian_filter
  __snake_case   :				int        =       img_convolve(lowercase   ,     gen_gaussian_kernel(9   ,     sigma=1.4				)				)
  # get the gradient and degree by sobel_filter
  __snake_case   :				int        =       sobel_filter(lowercase				)
  __snake_case   :				str        =       PI + np.radadeg(lowercase				)

  __snake_case   :				str        =       suppress_non_maximum(image.shape   ,     lowercase   ,     lowercase				)

  detect_high_low_threshold(
      image.shape   ,     lowercase   ,     lowercase   ,     lowercase   ,     lowercase   ,     lowercase				)

  track_edge(image.shape   ,     lowercase   ,     lowercase   ,     lowercase				)

  return destination


if __name__ == "__main__":
     # read original image in gray mode
     _UpperCamelCase       = cva.imread(R'''../image_data/lena.jpg''', 0)
     # canny edge detection
     _UpperCamelCase       = canny(lena)
     cva.imshow('''canny''', canny_destination)
     cva.waitKey(0)








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__)

