
import warnings
from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


a					  =     logging.get_logger(__name__)

a					  =     {
    'nvidia/segformer-b0-finetuned-ade-512-512': (
        'https://huggingface.co/nvidia/segformer-b0-finetuned-ade-512-512/resolve/main/config.json'
    ),
    # See all SegFormer models at https://huggingface.co/models?filter=segformer
}







class        UpperCamelCase__   (	__magic_name__   ):
					__SCREAMING_SNAKE_CASE       :  Optional[Any]						=   'segformer'

					def __init__(     self       :   int							,					UpperCamelCase__       :   Any=3							,					UpperCamelCase__       :   List[Any]=4							,					UpperCamelCase__       :   Optional[Any]=[2, 2, 2, 2]							,					UpperCamelCase__       :   Optional[Any]=[8, 4, 2, 1]							,					UpperCamelCase__       :   Any=[32, 64, 160, 256]							,					UpperCamelCase__       :   Optional[Any]=[7, 3, 3, 3]							,					UpperCamelCase__       :   Optional[int]=[4, 2, 2, 2]							,					UpperCamelCase__       :   Optional[int]=[1, 2, 5, 8]							,					UpperCamelCase__       :   Any=[4, 4, 4, 4]							,					UpperCamelCase__       :   str="gelu"							,					UpperCamelCase__       :   Any=0.0							,					UpperCamelCase__       :   Tuple=0.0							,					UpperCamelCase__       :   Optional[Any]=0.1							,					UpperCamelCase__       :   Dict=0.02							,					UpperCamelCase__       :   Tuple=0.1							,					UpperCamelCase__       :   Any=1e-6							,					UpperCamelCase__       :   Tuple=256							,					UpperCamelCase__       :   Optional[Any]=255							,					**UpperCamelCase__       :   int							,					):






										'''simple docstring'''






										super().__init__(**UpperCamelCase__       )

										if "reshape_last_stage" in kwargs and kwargs["reshape_last_stage"] is False:
															warnings.warn(
															    """Reshape_last_stage is set to False in this config. This argument is deprecated and will soon be"""
															    """ removed, as the behaviour will default to that of reshape_last_stage = True."""							,					UpperCamelCase__							,					)

										lowercase_  							=			num_channels
										lowercase_  							=			num_encoder_blocks
										lowercase_  							=			depths
										lowercase_  							=			sr_ratios
										lowercase_  							=			hidden_sizes
										lowercase_  							=			patch_sizes
										lowercase_  							=			strides
										lowercase_  							=			mlp_ratios
										lowercase_  							=			num_attention_heads
										lowercase_  							=			hidden_act
										lowercase_  							=			hidden_dropout_prob
										lowercase_  							=			attention_probs_dropout_prob
										lowercase_  							=			classifier_dropout_prob
										lowercase_  							=			initializer_range
										lowercase_  							=			drop_path_rate
										lowercase_  							=			layer_norm_eps
										lowercase_  							=			decoder_hidden_size
										lowercase_  							=			kwargs.get("""reshape_last_stage"""							,					UpperCamelCase__       )
										lowercase_  							=			semantic_loss_ignore_index







class        UpperCamelCase__   (	__magic_name__   ):
					__SCREAMING_SNAKE_CASE       :  List[Any]						=   version.parse('1.11'   )

					@property
					def   UpperCAmelCase__       (     self       :   Tuple       ):






										'''simple docstring'''






										return OrderedDict(
										    [
										        ("""pixel_values""", {0: """batch""", 1: """num_channels""", 2: """height""", 3: """width"""}),
										    ]       )

					@property
					def   UpperCAmelCase__       (     self       :   List[str]       ):






										'''simple docstring'''






										return 1e-4







					@property
					def   UpperCAmelCase__       (     self       :   List[str]       ):






										'''simple docstring'''






										return 12






import cva
import numpy as np







class        UpperCamelCase__   :

					def __init__(     self       :   List[str]							,					UpperCamelCase__       :   float							,					UpperCamelCase__       :   int       ):






										'''simple docstring'''






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

					def __str__(     self       :   Optional[int]       ):






										'''simple docstring'''






										return str(self.k       )







					def   UpperCAmelCase__       (     self       :   Optional[Any]							,					UpperCamelCase__       :   str       ):






										'''simple docstring'''






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

																				lowercase_  							=			(wxx * wyy) - (wxy**2)
																				lowercase_  							=			wxx + wyy
																				lowercase_  							=			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)							,					255       )
										return color_img, corner_list


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


