

"""simple docstring"""




import cva
import numpy as np





class    lowerCamelCase						:

			def __init__(					self				:						Tuple    ,				__UpperCAmelCase				:						float    ,				__UpperCAmelCase				:						int       )   ->    Optional[int]:

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

			def __str__(					self				:						List[Any]       )   ->    str:
						return str(self.k       )





			def 					SCREAMING_SNAKE_CASE				(					self				:						Optional[int]    ,				__UpperCAmelCase				:						str       )   ->    tuple[cva.Mat, list[list[int]]]:
						SCREAMING_SNAKE_CASE__								=      cva.imread(__UpperCAmelCase    ,				0       )
						SCREAMING_SNAKE_CASE__							,		SCREAMING_SNAKE_CASE__								=      img.shape
						SCREAMING_SNAKE_CASE__								=      []
						SCREAMING_SNAKE_CASE__								=      img.copy()
						SCREAMING_SNAKE_CASE__								=      cva.cvtColor(__UpperCAmelCase    ,				cva.COLOR_GRAY2RGB       )
						SCREAMING_SNAKE_CASE__							,		SCREAMING_SNAKE_CASE__								=      np.gradient(__UpperCAmelCase       )
						SCREAMING_SNAKE_CASE__								=      dx**2
						SCREAMING_SNAKE_CASE__								=      dy**2
						SCREAMING_SNAKE_CASE__								=      dx * dy
						SCREAMING_SNAKE_CASE__								=      0.04
						SCREAMING_SNAKE_CASE__								=      self.window_size // 2
						for y in range(__UpperCAmelCase    ,				h - offset       ):
									for x in range(__UpperCAmelCase    ,				w - offset       ):
												SCREAMING_SNAKE_CASE__								=      ixx[
												    y - offset : y + offset + 1, x - offset : x + offset + 1
												].sum()
												SCREAMING_SNAKE_CASE__								=      iyy[
												    y - offset : y + offset + 1, x - offset : x + offset + 1
												].sum()
												SCREAMING_SNAKE_CASE__								=      ixy[
												    y - offset : y + offset + 1, x - offset : x + offset + 1
												].sum()

												SCREAMING_SNAKE_CASE__								=      (wxx * wyy) - (wxy**2)
												SCREAMING_SNAKE_CASE__								=      wxx + wyy
												SCREAMING_SNAKE_CASE__								=      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__":
						A_							:			List[str]											= HarrisCorner(0.04, 3)
						A_					,	A_							:			Optional[Any]											= edge_detect.detect("path_to_image")
						cva.imwrite("detect.png", color_img)





"""simple docstring"""




from ..utils import (
    OptionalDependencyNotAvailable,
    is_flax_available,
    is_scipy_available,
    is_torch_available,
    is_torchsde_available,
)


try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						from ..utils.dummy_pt_objects import *  # noqa F403
else:
						from .scheduling_consistency_models import CMStochasticIterativeScheduler
						from .scheduling_ddim import DDIMScheduler
						from .scheduling_ddim_inverse import DDIMInverseScheduler
						from .scheduling_ddim_parallel import DDIMParallelScheduler
						from .scheduling_ddpm import DDPMScheduler
						from .scheduling_ddpm_parallel import DDPMParallelScheduler
						from .scheduling_deis_multistep import DEISMultistepScheduler
						from .scheduling_dpmsolver_multistep import DPMSolverMultistepScheduler
						from .scheduling_dpmsolver_multistep_inverse import DPMSolverMultistepInverseScheduler
						from .scheduling_dpmsolver_singlestep import DPMSolverSinglestepScheduler
						from .scheduling_euler_ancestral_discrete import EulerAncestralDiscreteScheduler
						from .scheduling_euler_discrete import EulerDiscreteScheduler
						from .scheduling_heun_discrete import HeunDiscreteScheduler
						from .scheduling_ipndm import IPNDMScheduler
						from .scheduling_k_dpm_2_ancestral_discrete import KDPMaAncestralDiscreteScheduler
						from .scheduling_k_dpm_2_discrete import KDPMaDiscreteScheduler
						from .scheduling_karras_ve import KarrasVeScheduler
						from .scheduling_pndm import PNDMScheduler
						from .scheduling_repaint import RePaintScheduler
						from .scheduling_sde_ve import ScoreSdeVeScheduler
						from .scheduling_sde_vp import ScoreSdeVpScheduler
						from .scheduling_unclip import UnCLIPScheduler
						from .scheduling_unipc_multistep import UniPCMultistepScheduler
						from .scheduling_utils import KarrasDiffusionSchedulers, SchedulerMixin
						from .scheduling_vq_diffusion import VQDiffusionScheduler

try:
						if not is_flax_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						from ..utils.dummy_flax_objects import *  # noqa F403
else:
						from .scheduling_ddim_flax import FlaxDDIMScheduler
						from .scheduling_ddpm_flax import FlaxDDPMScheduler
						from .scheduling_dpmsolver_multistep_flax import FlaxDPMSolverMultistepScheduler
						from .scheduling_karras_ve_flax import FlaxKarrasVeScheduler
						from .scheduling_lms_discrete_flax import FlaxLMSDiscreteScheduler
						from .scheduling_pndm_flax import FlaxPNDMScheduler
						from .scheduling_sde_ve_flax import FlaxScoreSdeVeScheduler
						from .scheduling_utils_flax import (
						    FlaxKarrasDiffusionSchedulers,
						    FlaxSchedulerMixin,
						    FlaxSchedulerOutput,
						    broadcast_to_shape_from_left,
						)


try:
						if not (is_torch_available() and is_scipy_available()):
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						from ..utils.dummy_torch_and_scipy_objects import *  # noqa F403
else:
						from .scheduling_lms_discrete import LMSDiscreteScheduler

try:
						if not (is_torch_available() and is_torchsde_available()):
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						from ..utils.dummy_torch_and_torchsde_objects import *  # noqa F403
else:
						from .scheduling_dpmsolver_sde import DPMSolverSDEScheduler


