


import sys
from typing import Tuple

import numpy as np
import torch
from PIL import Image
from torch import nn

from transformers.image_utils import PILImageResampling
from utils import img_tensorize





class    lowerCAmelCase__				:






						"""simple docstring"""




						def __init__(   self				,							a_				,							a_=sys.maxsize     ):
							lowerCamelCase_			:							Optional[Any]      =       "bilinear"
							lowerCamelCase_			:							Optional[int]      =       max_size
							lowerCamelCase_			:							Tuple      =       short_edge_length




						def __call__(   self				,							a_     ):
							lowerCamelCase_			:							Tuple      =       []
							for img in imgs:
								lowerCamelCase_   ,lowerCamelCase_			:							List[str]      =       img.shape[:2]
								# later: provide list and randomly choose index for resize
								lowerCamelCase_			:							Tuple      =       np.random.randint(self.short_edge_length[0]				,							self.short_edge_length[1] + 1     )
								if size == 0:
									return img
								lowerCamelCase_			:							Dict      =       size * 1.0 / min(a_				,							a_     )
								if h < w:
									lowerCamelCase_   ,lowerCamelCase_			:							Dict      =       size, scale * w
								else:
									lowerCamelCase_   ,lowerCamelCase_			:							str      =       scale * h, size
								if max(a_				,							a_     ) > self.max_size:
									lowerCamelCase_			:							int      =       self.max_size * 1.0 / max(a_				,							a_     )
									lowerCamelCase_			:							Dict      =       newh * scale
									lowerCamelCase_			:							Tuple      =       neww * scale
								lowerCamelCase_			:							int      =       int(neww + 0.5     )
								lowerCamelCase_			:							List[str]      =       int(newh + 0.5     )

								if img.dtype == np.uinta:
									lowerCamelCase_			:							Dict      =       Image.fromarray(a_     )
									lowerCamelCase_			:							int      =       pil_image.resize((neww, newh)				,							PILImageResampling.BILINEAR     )
									lowerCamelCase_			:							str      =       np.asarray(a_     )
								else:
									lowerCamelCase_			:							Tuple      =       img.permute(2				,							0				,							1     ).unsqueeze(0     )  # 3, 0, 1)  # hw(c) -> nchw
									lowerCamelCase_			:							Tuple      =       nn.functional.interpolate(
									    a_				,							(newh, neww)				,							mode=self.interp_method				,							align_corners=a_     ).squeeze(0     )
								img_augs.append(a_     )

							return img_augs





class    lowerCAmelCase__				:






						"""simple docstring"""




						def __init__(   self				,							a_     ):
							lowerCamelCase_			:							Optional[Any]      =       ResizeShortestEdge([cfg.INPUT.MIN_SIZE_TEST, cfg.INPUT.MIN_SIZE_TEST]				,							cfg.INPUT.MAX_SIZE_TEST     )
							lowerCamelCase_			:							Tuple      =       cfg.INPUT.FORMAT
							lowerCamelCase_			:							Optional[Any]      =       cfg.SIZE_DIVISIBILITY
							lowerCamelCase_			:							List[Any]      =       cfg.PAD_VALUE
							lowerCamelCase_			:							int      =       cfg.INPUT.MAX_SIZE_TEST
							lowerCamelCase_			:							Union[str, Any]      =       cfg.MODEL.DEVICE
							lowerCamelCase_			:							Optional[Any]      =       torch.tensor(cfg.MODEL.PIXEL_STD     ).to(self.device     ).view(len(cfg.MODEL.PIXEL_STD     )				,							1				,							1     )
							lowerCamelCase_			:							int      =       torch.tensor(cfg.MODEL.PIXEL_MEAN     ).to(self.device     ).view(len(cfg.MODEL.PIXEL_STD     )				,							1				,							1     )
							lowerCamelCase_			:							str      =       lambda a_     : (x - self.pixel_mean) / self.pixel_std




						def 					_UpperCamelCase			(   self				,							a_     ):
							lowerCamelCase_			:							Tuple      =       tuple(max(a_     ) for s in zip(*[img.shape for img in images]     )     )
							lowerCamelCase_			:							List[str]      =       [im.shape[-2:] for im in images]
							lowerCamelCase_			:							List[str]      =       [
							    nn.functional.pad(
							        a_				,							[0, max_size[-1] - size[1], 0, max_size[-2] - size[0]]				,							value=self.pad_value				,							)
							    for size, im in zip(a_				,							a_     )
							]

							return torch.stack(a_     ), torch.tensor(a_     )




						def __call__(   self				,							a_				,							a_=False     ):
							with torch.no_grad():
								if not isinstance(a_				,							a_     ):
									lowerCamelCase_			:							int      =       [images]
								if single_image:
									assert len(a_     ) == 1
								for i in range(len(a_     )     ):
									if isinstance(images[i]				,							torch.Tensor     ):
										images.insert(a_				,							images.pop(a_     ).to(self.device     ).float()     )
									elif not isinstance(images[i]				,							torch.Tensor     ):
										images.insert(
										    a_				,							torch.as_tensor(img_tensorize(images.pop(a_     )				,							input_format=self.input_format     )     )
										    .to(self.device     )
										    .float()				,							)
            # resize smallest edge
								lowerCamelCase_			:							str      =       torch.tensor([im.shape[:2] for im in images]     )
								lowerCamelCase_			:							Optional[int]      =       self.aug(a_     )
								# transpose images and convert to torch tensors
								# images = [torch.as_tensor(i.astype("float32")).permute(2, 0, 1).to(self.device) for i in images]
								# now normalize before pad to avoid useless arithmetic
								lowerCamelCase_			:							List[Any]      =       [self.normalizer(a_     ) for x in images]
								# now pad them to do the following operations
								lowerCamelCase_   ,lowerCamelCase_			:							str      =       self.pad(a_     )
								# Normalize

								if self.size_divisibility > 0:
									raise NotImplementedError()
								# pad
								lowerCamelCase_			:							int      =       torch.true_divide(a_				,							a_     )
								if single_image:
									return images[0], sizes[0], scales_yx[0]
								else:
									return images, sizes, scales_yx







def     __magic_name__  (      lowerCAmelCase_      ,					lowerCAmelCase_):
	'''simple docstring'''


	boxes[:, 0::2] *= scale_yx[:, 1]
	boxes[:, 1::2] *= scale_yx[:, 0]
	return boxes







def     __magic_name__  (      lowerCAmelCase_      ,					lowerCAmelCase_):
	'''simple docstring'''


	assert torch.isfinite(lowerCAmelCase_).all(), "Box tensor contains infinite or NaN!"
	lowerCamelCase_   ,lowerCamelCase_			:							Dict      =       box_size
	tensor[:, 0].clamp_(min=0      ,					max=lowerCAmelCase_)
	tensor[:, 1].clamp_(min=0      ,					max=lowerCAmelCase_)
	tensor[:, 2].clamp_(min=0      ,					max=lowerCAmelCase_)
	tensor[:, 3].clamp_(min=0      ,					max=lowerCAmelCase_)





from ..utils import DummyObject, requires_backends





class    lowerCAmelCase__				(			metaclass=__lowerCamelCase       ):






						"""simple docstring"""
						__UpperCAmelCase   :		Optional[Any]  					=	['''tokenizers''']




						def __init__(   self				,							*a_				,							**a_     ):
							requires_backends(self				,							["tokenizers"]     )





class    lowerCAmelCase__				(			metaclass=__lowerCamelCase       ):






						"""simple docstring"""
						__UpperCAmelCase   :		str  					=	['''tokenizers''']




						def __init__(   self				,							*a_				,							**a_     ):
							requires_backends(self				,							["tokenizers"]     )





class    lowerCAmelCase__				(			metaclass=__lowerCamelCase       ):






						"""simple docstring"""
						__UpperCAmelCase   :		List[str]  					=	['''tokenizers''']




						def __init__(   self				,							*a_				,							**a_     ):
							requires_backends(self				,							["tokenizers"]     )





class    lowerCAmelCase__				(			metaclass=__lowerCamelCase       ):






						"""simple docstring"""
						__UpperCAmelCase   :		Tuple  					=	['''tokenizers''']




						def __init__(   self				,							*a_				,							**a_     ):
							requires_backends(self				,							["tokenizers"]     )





class    lowerCAmelCase__				(			metaclass=__lowerCamelCase       ):






						"""simple docstring"""
						__UpperCAmelCase   :		List[Any]  					=	['''tokenizers''']




						def __init__(   self				,							*a_				,							**a_     ):
							requires_backends(self				,							["tokenizers"]     )





class    lowerCAmelCase__				(			metaclass=__lowerCamelCase       ):






						"""simple docstring"""
						__UpperCAmelCase   :		Any  					=	['''tokenizers''']




						def __init__(   self				,							*a_				,							**a_     ):
							requires_backends(self				,							["tokenizers"]     )





class    lowerCAmelCase__				(			metaclass=__lowerCamelCase       ):






						"""simple docstring"""
						__UpperCAmelCase   :		Tuple  					=	['''tokenizers''']




						def __init__(   self				,							*a_				,							**a_     ):
							requires_backends(self				,							["tokenizers"]     )





class    lowerCAmelCase__				(			metaclass=__lowerCamelCase       ):






						"""simple docstring"""
						__UpperCAmelCase   :		Union[str, Any]  					=	['''tokenizers''']




						def __init__(   self				,							*a_				,							**a_     ):
							requires_backends(self				,							["tokenizers"]     )





class    lowerCAmelCase__				(			metaclass=__lowerCamelCase       ):






						"""simple docstring"""
						__UpperCAmelCase   :		Union[str, Any]  					=	['''tokenizers''']




						def __init__(   self				,							*a_				,							**a_     ):
							requires_backends(self				,							["tokenizers"]     )





class    lowerCAmelCase__				(			metaclass=__lowerCamelCase       ):






						"""simple docstring"""
						__UpperCAmelCase   :		int  					=	['''tokenizers''']




						def __init__(   self				,							*a_				,							**a_     ):
							requires_backends(self				,							["tokenizers"]     )





class    lowerCAmelCase__				(			metaclass=__lowerCamelCase       ):






						"""simple docstring"""
						__UpperCAmelCase   :		List[Any]  					=	['''tokenizers''']




						def __init__(   self				,							*a_				,							**a_     ):
							requires_backends(self				,							["tokenizers"]     )





class    lowerCAmelCase__				(			metaclass=__lowerCamelCase       ):






						"""simple docstring"""
						__UpperCAmelCase   :		Optional[int]  					=	['''tokenizers''']




						def __init__(   self				,							*a_				,							**a_     ):
							requires_backends(self				,							["tokenizers"]     )





class    lowerCAmelCase__				(			metaclass=__lowerCamelCase       ):






						"""simple docstring"""
						__UpperCAmelCase   :		Tuple  					=	['''tokenizers''']




						def __init__(   self				,							*a_				,							**a_     ):
							requires_backends(self				,							["tokenizers"]     )





class    lowerCAmelCase__				(			metaclass=__lowerCamelCase       ):






						"""simple docstring"""
						__UpperCAmelCase   :		Union[str, Any]  					=	['''tokenizers''']




						def __init__(   self				,							*a_				,							**a_     ):
							requires_backends(self				,							["tokenizers"]     )





class    lowerCAmelCase__				(			metaclass=__lowerCamelCase       ):






						"""simple docstring"""
						__UpperCAmelCase   :		Union[str, Any]  					=	['''tokenizers''']




						def __init__(   self				,							*a_				,							**a_     ):
							requires_backends(self				,							["tokenizers"]     )





class    lowerCAmelCase__				(			metaclass=__lowerCamelCase       ):






						"""simple docstring"""
						__UpperCAmelCase   :		Optional[int]  					=	['''tokenizers''']




						def __init__(   self				,							*a_				,							**a_     ):
							requires_backends(self				,							["tokenizers"]     )





class    lowerCAmelCase__				(			metaclass=__lowerCamelCase       ):






						"""simple docstring"""
						__UpperCAmelCase   :		Union[str, Any]  					=	['''tokenizers''']




						def __init__(   self				,							*a_				,							**a_     ):
							requires_backends(self				,							["tokenizers"]     )





class    lowerCAmelCase__				(			metaclass=__lowerCamelCase       ):






						"""simple docstring"""
						__UpperCAmelCase   :		List[Any]  					=	['''tokenizers''']




						def __init__(   self				,							*a_				,							**a_     ):
							requires_backends(self				,							["tokenizers"]     )





class    lowerCAmelCase__				(			metaclass=__lowerCamelCase       ):






						"""simple docstring"""
						__UpperCAmelCase   :		Union[str, Any]  					=	['''tokenizers''']




						def __init__(   self				,							*a_				,							**a_     ):
							requires_backends(self				,							["tokenizers"]     )





class    lowerCAmelCase__				(			metaclass=__lowerCamelCase       ):






						"""simple docstring"""
						__UpperCAmelCase   :		Tuple  					=	['''tokenizers''']




						def __init__(   self				,							*a_				,							**a_     ):
							requires_backends(self				,							["tokenizers"]     )





class    lowerCAmelCase__				(			metaclass=__lowerCamelCase       ):






						"""simple docstring"""
						__UpperCAmelCase   :		int  					=	['''tokenizers''']




						def __init__(   self				,							*a_				,							**a_     ):
							requires_backends(self				,							["tokenizers"]     )





class    lowerCAmelCase__				(			metaclass=__lowerCamelCase       ):






						"""simple docstring"""
						__UpperCAmelCase   :		Optional[Any]  					=	['''tokenizers''']




						def __init__(   self				,							*a_				,							**a_     ):
							requires_backends(self				,							["tokenizers"]     )





class    lowerCAmelCase__				(			metaclass=__lowerCamelCase       ):






						"""simple docstring"""
						__UpperCAmelCase   :		List[str]  					=	['''tokenizers''']




						def __init__(   self				,							*a_				,							**a_     ):
							requires_backends(self				,							["tokenizers"]     )





class    lowerCAmelCase__				(			metaclass=__lowerCamelCase       ):






						"""simple docstring"""
						__UpperCAmelCase   :		Dict  					=	['''tokenizers''']




						def __init__(   self				,							*a_				,							**a_     ):
							requires_backends(self				,							["tokenizers"]     )





class    lowerCAmelCase__				(			metaclass=__lowerCamelCase       ):






						"""simple docstring"""
						__UpperCAmelCase   :		str  					=	['''tokenizers''']




						def __init__(   self				,							*a_				,							**a_     ):
							requires_backends(self				,							["tokenizers"]     )





class    lowerCAmelCase__				(			metaclass=__lowerCamelCase       ):






						"""simple docstring"""
						__UpperCAmelCase   :		Dict  					=	['''tokenizers''']




						def __init__(   self				,							*a_				,							**a_     ):
							requires_backends(self				,							["tokenizers"]     )





class    lowerCAmelCase__				(			metaclass=__lowerCamelCase       ):






						"""simple docstring"""
						__UpperCAmelCase   :		Any  					=	['''tokenizers''']




						def __init__(   self				,							*a_				,							**a_     ):
							requires_backends(self				,							["tokenizers"]     )





class    lowerCAmelCase__				(			metaclass=__lowerCamelCase       ):






						"""simple docstring"""
						__UpperCAmelCase   :		int  					=	['''tokenizers''']




						def __init__(   self				,							*a_				,							**a_     ):
							requires_backends(self				,							["tokenizers"]     )





class    lowerCAmelCase__				(			metaclass=__lowerCamelCase       ):






						"""simple docstring"""
						__UpperCAmelCase   :		Optional[Any]  					=	['''tokenizers''']




						def __init__(   self				,							*a_				,							**a_     ):
							requires_backends(self				,							["tokenizers"]     )





class    lowerCAmelCase__				(			metaclass=__lowerCamelCase       ):






						"""simple docstring"""
						__UpperCAmelCase   :		Optional[Any]  					=	['''tokenizers''']




						def __init__(   self				,							*a_				,							**a_     ):
							requires_backends(self				,							["tokenizers"]     )





class    lowerCAmelCase__				(			metaclass=__lowerCamelCase       ):






						"""simple docstring"""
						__UpperCAmelCase   :		int  					=	['''tokenizers''']




						def __init__(   self				,							*a_				,							**a_     ):
							requires_backends(self				,							["tokenizers"]     )





class    lowerCAmelCase__				(			metaclass=__lowerCamelCase       ):






						"""simple docstring"""
						__UpperCAmelCase   :		Dict  					=	['''tokenizers''']




						def __init__(   self				,							*a_				,							**a_     ):
							requires_backends(self				,							["tokenizers"]     )





class    lowerCAmelCase__				(			metaclass=__lowerCamelCase       ):






						"""simple docstring"""
						__UpperCAmelCase   :		Any  					=	['''tokenizers''']




						def __init__(   self				,							*a_				,							**a_     ):
							requires_backends(self				,							["tokenizers"]     )





class    lowerCAmelCase__				(			metaclass=__lowerCamelCase       ):






						"""simple docstring"""
						__UpperCAmelCase   :		Union[str, Any]  					=	['''tokenizers''']




						def __init__(   self				,							*a_				,							**a_     ):
							requires_backends(self				,							["tokenizers"]     )





class    lowerCAmelCase__				(			metaclass=__lowerCamelCase       ):






						"""simple docstring"""
						__UpperCAmelCase   :		str  					=	['''tokenizers''']




						def __init__(   self				,							*a_				,							**a_     ):
							requires_backends(self				,							["tokenizers"]     )





class    lowerCAmelCase__				(			metaclass=__lowerCamelCase       ):






						"""simple docstring"""
						__UpperCAmelCase   :		List[Any]  					=	['''tokenizers''']




						def __init__(   self				,							*a_				,							**a_     ):
							requires_backends(self				,							["tokenizers"]     )





class    lowerCAmelCase__				(			metaclass=__lowerCamelCase       ):






						"""simple docstring"""
						__UpperCAmelCase   :		Optional[int]  					=	['''tokenizers''']




						def __init__(   self				,							*a_				,							**a_     ):
							requires_backends(self				,							["tokenizers"]     )





class    lowerCAmelCase__				(			metaclass=__lowerCamelCase       ):






						"""simple docstring"""
						__UpperCAmelCase   :		Union[str, Any]  					=	['''tokenizers''']




						def __init__(   self				,							*a_				,							**a_     ):
							requires_backends(self				,							["tokenizers"]     )





class    lowerCAmelCase__				(			metaclass=__lowerCamelCase       ):






						"""simple docstring"""
						__UpperCAmelCase   :		Dict  					=	['''tokenizers''']




						def __init__(   self				,							*a_				,							**a_     ):
							requires_backends(self				,							["tokenizers"]     )





class    lowerCAmelCase__				(			metaclass=__lowerCamelCase       ):






						"""simple docstring"""
						__UpperCAmelCase   :		str  					=	['''tokenizers''']




						def __init__(   self				,							*a_				,							**a_     ):
							requires_backends(self				,							["tokenizers"]     )





class    lowerCAmelCase__				(			metaclass=__lowerCamelCase       ):






						"""simple docstring"""
						__UpperCAmelCase   :		str  					=	['''tokenizers''']




						def __init__(   self				,							*a_				,							**a_     ):
							requires_backends(self				,							["tokenizers"]     )





class    lowerCAmelCase__				(			metaclass=__lowerCamelCase       ):






						"""simple docstring"""
						__UpperCAmelCase   :		Dict  					=	['''tokenizers''']




						def __init__(   self				,							*a_				,							**a_     ):
							requires_backends(self				,							["tokenizers"]     )





class    lowerCAmelCase__				(			metaclass=__lowerCamelCase       ):






						"""simple docstring"""
						__UpperCAmelCase   :		Union[str, Any]  					=	['''tokenizers''']




						def __init__(   self				,							*a_				,							**a_     ):
							requires_backends(self				,							["tokenizers"]     )





class    lowerCAmelCase__				(			metaclass=__lowerCamelCase       ):






						"""simple docstring"""
						__UpperCAmelCase   :		Tuple  					=	['''tokenizers''']




						def __init__(   self				,							*a_				,							**a_     ):
							requires_backends(self				,							["tokenizers"]     )





class    lowerCAmelCase__				(			metaclass=__lowerCamelCase       ):






						"""simple docstring"""
						__UpperCAmelCase   :		List[Any]  					=	['''tokenizers''']




						def __init__(   self				,							*a_				,							**a_     ):
							requires_backends(self				,							["tokenizers"]     )





class    lowerCAmelCase__				(			metaclass=__lowerCamelCase       ):






						"""simple docstring"""
						__UpperCAmelCase   :		Any  					=	['''tokenizers''']




						def __init__(   self				,							*a_				,							**a_     ):
							requires_backends(self				,							["tokenizers"]     )





class    lowerCAmelCase__				(			metaclass=__lowerCamelCase       ):






						"""simple docstring"""
						__UpperCAmelCase   :		int  					=	['''tokenizers''']




						def __init__(   self				,							*a_				,							**a_     ):
							requires_backends(self				,							["tokenizers"]     )





class    lowerCAmelCase__				(			metaclass=__lowerCamelCase       ):






						"""simple docstring"""
						__UpperCAmelCase   :		Optional[Any]  					=	['''tokenizers''']




						def __init__(   self				,							*a_				,							**a_     ):
							requires_backends(self				,							["tokenizers"]     )





class    lowerCAmelCase__				(			metaclass=__lowerCamelCase       ):






						"""simple docstring"""
						__UpperCAmelCase   :		List[str]  					=	['''tokenizers''']




						def __init__(   self				,							*a_				,							**a_     ):
							requires_backends(self				,							["tokenizers"]     )





class    lowerCAmelCase__				(			metaclass=__lowerCamelCase       ):






						"""simple docstring"""
						__UpperCAmelCase   :		Tuple  					=	['''tokenizers''']




						def __init__(   self				,							*a_				,							**a_     ):
							requires_backends(self				,							["tokenizers"]     )





class    lowerCAmelCase__				(			metaclass=__lowerCamelCase       ):






						"""simple docstring"""
						__UpperCAmelCase   :		Any  					=	['''tokenizers''']




						def __init__(   self				,							*a_				,							**a_     ):
							requires_backends(self				,							["tokenizers"]     )





class    lowerCAmelCase__				(			metaclass=__lowerCamelCase       ):






						"""simple docstring"""
						__UpperCAmelCase   :		Union[str, Any]  					=	['''tokenizers''']




						def __init__(   self				,							*a_				,							**a_     ):
							requires_backends(self				,							["tokenizers"]     )





class    lowerCAmelCase__				(			metaclass=__lowerCamelCase       ):






						"""simple docstring"""
						__UpperCAmelCase   :		List[Any]  					=	['''tokenizers''']




						def __init__(   self				,							*a_				,							**a_     ):
							requires_backends(self				,							["tokenizers"]     )





class    lowerCAmelCase__				(			metaclass=__lowerCamelCase       ):






						"""simple docstring"""
						__UpperCAmelCase   :		Any  					=	['''tokenizers''']




						def __init__(   self				,							*a_				,							**a_     ):
							requires_backends(self				,							["tokenizers"]     )





class    lowerCAmelCase__				(			metaclass=__lowerCamelCase       ):






						"""simple docstring"""
						__UpperCAmelCase   :		int  					=	['''tokenizers''']




						def __init__(   self				,							*a_				,							**a_     ):
							requires_backends(self				,							["tokenizers"]     )





class    lowerCAmelCase__				(			metaclass=__lowerCamelCase       ):






						"""simple docstring"""
						__UpperCAmelCase   :		Dict  					=	['''tokenizers''']




						def __init__(   self				,							*a_				,							**a_     ):
							requires_backends(self				,							["tokenizers"]     )





class    lowerCAmelCase__				(			metaclass=__lowerCamelCase       ):






						"""simple docstring"""
						__UpperCAmelCase   :		List[str]  					=	['''tokenizers''']




						def __init__(   self				,							*a_				,							**a_     ):
							requires_backends(self				,							["tokenizers"]     )





class    lowerCAmelCase__				(			metaclass=__lowerCamelCase       ):






						"""simple docstring"""
						__UpperCAmelCase   :		str  					=	['''tokenizers''']




						def __init__(   self				,							*a_				,							**a_     ):
							requires_backends(self				,							["tokenizers"]     )

