





import cva
import numpy as np
class        snake_case_		:







  def __init__(		self			,     __lowercase			,     __lowercase   )				->   List[str]:

    if k in (0.0_4, 0.0_6):
      lowerCamelCase   : Optional[Any]								=k
      lowerCamelCase   : Optional[int]								=window_size
    else:
      raise ValueError('''invalid k value'''   )







  def __str__(		self   )				->   str:
    return str(self.k   )







  def 			__lowercase   (		self			,     __lowercase   )				->   tuple[cva.Mat, list[list[int]]]:
    lowerCamelCase   : List[Any]								=cva.imread(__lowercase			,     0   )
    lowerCamelCase   : Tuple								=img.shape
    lowerCamelCase   : list[list[int]]								=[]
    lowerCamelCase   : Optional[Any]								=img.copy()
    lowerCamelCase   : int								=cva.cvtColor(__lowercase			,     cva.COLOR_GRAY2RGB   )
    lowerCamelCase   : Optional[Any]								=np.gradient(__lowercase   )
    lowerCamelCase   : Optional[Any]								=dx**2
    lowerCamelCase   : List[str]								=dy**2
    lowerCamelCase   : List[str]								=dx * dy
    lowerCamelCase   : int								=0.0_4
    lowerCamelCase   : Any								=self.window_size // 2
    for y in range(__lowercase			,     h - offset   ):
      for x in range(__lowercase			,     w - offset   ):
        lowerCamelCase   : str								=ixx[
            y - offset : y + offset + 1, x - offset : x + offset + 1
        ].sum()
        lowerCamelCase   : Any								=iyy[
            y - offset : y + offset + 1, x - offset : x + offset + 1
        ].sum()
        lowerCamelCase   : Any								=ixy[
            y - offset : y + offset + 1, x - offset : x + offset + 1
        ].sum()

        lowerCamelCase   : List[Any]								=(wxx * wyy) - (wxy**2)
        lowerCamelCase   : int								=wxx + wyy
        lowerCamelCase   : List[str]								=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_5_5   )
    return color_img, corner_list


if __name__ == "__main__":
    snake_case_							=			HarrisCorner(0.0_4, 3)
    snake_case_,       snake_case_							=			edge_detect.detect('''path_to_image''')
    cva.imwrite('''detect.png''', color_img)








from ...configuration_utils import PretrainedConfig
from ...utils import logging


snake_case_							=			logging.get_logger(__name__)

snake_case_							=			{
    '''facebook/timesformer''': '''https://huggingface.co/facebook/timesformer/resolve/main/config.json''',
}
class        snake_case_		(			_A):
		lowerCamelCase    :Union[str, Any]						=     "timesformer"







		def __init__(		self			,     __lowercase=2_2_4			,     __lowercase=1_6			,     __lowercase=3			,     __lowercase=8			,     __lowercase=7_6_8			,     __lowercase=1_2			,     __lowercase=1_2			,     __lowercase=3_0_7_2			,     __lowercase="gelu"			,     __lowercase=0.0			,     __lowercase=0.0			,     __lowercase=0.0_2			,     __lowercase=1e-6			,     __lowercase=True			,     __lowercase="divided_space_time"			,     __lowercase=0			,     **__lowercase			,     )				->   List[Any]:
				super().__init__(**__lowercase   )

				lowerCamelCase   : int								=image_size
				lowerCamelCase   : List[str]								=patch_size
				lowerCamelCase   : Union[str, Any]								=num_channels
				lowerCamelCase   : str								=num_frames

				lowerCamelCase   : Dict								=hidden_size
				lowerCamelCase   : int								=num_hidden_layers
				lowerCamelCase   : Dict								=num_attention_heads
				lowerCamelCase   : Dict								=intermediate_size
				lowerCamelCase   : Union[str, Any]								=hidden_act
				lowerCamelCase   : str								=hidden_dropout_prob
				lowerCamelCase   : Union[str, Any]								=attention_probs_dropout_prob
				lowerCamelCase   : List[Any]								=initializer_range
				lowerCamelCase   : List[Any]								=layer_norm_eps
				lowerCamelCase   : List[str]								=qkv_bias

				lowerCamelCase   : Tuple								=attention_type
				lowerCamelCase   : List[Any]								=drop_path_rate

