





'''simple docstring'''







import cva
import numpy as np
class 				__SCREAMING_SNAKE_CASE  :






				"""simple docstring"""







				def __init__(  self     :					Union[str, Any]					,				__a     :					Dict					,				__a     :					List[str]					):

								if k in (0.04, 0.06):
												_a								= k
												_a								= window_size
								else:
												raise ValueError("invalid k value"					)




				def __str__(  self     :					Optional[Any]					):
								return str(self.k					)




				def   UpperCamelCase__   (  self     :					int					,				__a     :					Tuple					):
								_a								= cva.imread(_UpperCAmelCase					,				0					)
								_a								= img.shape
								_a								= []
								_a								= img.copy()
								_a								= cva.cvtColor(_UpperCAmelCase					,				cva.COLOR_GRAY2RGB					)
								_a								= np.gradient(_UpperCAmelCase					)
								_a								= dx**2
								_a								= dy**2
								_a								= dx * dy
								_a								= 0.04
								_a								= self.window_size // 2
								for y in range(_UpperCAmelCase					,				h - offset					):
												for x in range(_UpperCAmelCase					,				w - offset					):
																_a								= ixx[
																    y - offset : y + offset + 1, x - offset : x + offset + 1
																].sum()
																_a								= iyy[
																    y - offset : y + offset + 1, x - offset : x + offset + 1
																].sum()
																_a								= ixy[
																    y - offset : y + offset + 1, x - offset : x + offset + 1
																].sum()

																_a								= (wxx * wyy) - (wxy**2)
																_a								= wxx + wyy
																_a								= det - k * (trace**2)
																# Can change the value
																if r > 0.5:
																				corner_list.append([x, y, r]					)
																				color_img.itemset((y, x, 0)					,				0					)
																				color_img.itemset((y, x, 1)					,				0					)
																				color_img.itemset((y, x, 2)					,				2_55					)
								return color_img, corner_list


if __name__ == "__main__":
					lowerCAmelCase_					:    Any      	=			HarrisCorner(0.04, 3)
					lowerCAmelCase_	,  lowerCAmelCase_					:    Tuple      	=			edge_detect.detect('path_to_image')
					cva.imwrite('detect.png', color_img)

"""simple docstring"""






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__A			   = {
    "configuration_lilt": ["LILT_PRETRAINED_CONFIG_ARCHIVE_MAP", "LiltConfig"],
}

try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       __A			   = [
           "LILT_PRETRAINED_MODEL_ARCHIVE_LIST",
           "LiltForQuestionAnswering",
           "LiltForSequenceClassification",
           "LiltForTokenClassification",
           "LiltModel",
           "LiltPreTrainedModel",
       ]

if TYPE_CHECKING:
       from .configuration_lilt import LILT_PRETRAINED_CONFIG_ARCHIVE_MAP, LiltConfig

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_lilt import (
                  LILT_PRETRAINED_MODEL_ARCHIVE_LIST,
                  LiltForQuestionAnswering,
                  LiltForSequenceClassification,
                  LiltForTokenClassification,
                  LiltModel,
                  LiltPreTrainedModel,
              )

else:
       import sys

       __A			   = _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)
