

'''simple docstring'''
import colorsys
import io

import cva
import matplotlib as mpl
import matplotlib.colors as mplc
import matplotlib.figure as mplfigure
import numpy as np
import torch
from matplotlib.backends.backend_agg import FigureCanvasAgg

from utils import img_tensorize


_lowerCamelCase	 =			1000
class  _snake_case						:






			def __init__(   self       ,_snake_case       ,_snake_case=1.2       ,_snake_case="g"       ,_snake_case=0.5       ,_snake_case="-"       ,_snake_case="test_out.jpg"       ,_snake_case=True       ,_snake_case=False       ,_snake_case=None       ,_snake_case=None       ,_snake_case=0.7       ,):
				if isinstance(_snake_case       ,torch.Tensor			):
					UpperCAmelCase_			:	Optional[Any]      =   img.numpy().astype("np.uint8"			)
				if isinstance(_snake_case       ,_snake_case			):
					UpperCAmelCase_			:	Optional[int]      =   img_tensorize(_snake_case			)
				assert isinstance(_snake_case       ,np.ndarray			)

				UpperCAmelCase_ , UpperCAmelCase_			:	str      =   img.shape[1], img.shape[0]
				UpperCAmelCase_			:	List[str]      =   mplfigure.Figure(frameon=_snake_case			)
				UpperCAmelCase_			:	List[str]      =   fig.get_dpi()
				UpperCAmelCase_			:	Optional[int]      =   (width * scale + 1E-2) / dpi
				UpperCAmelCase_			:	str      =   (height * scale + 1E-2) / dpi
				fig.set_size_inches(_snake_case       ,_snake_case			)
				UpperCAmelCase_			:	Union[str, Any]      =   fig.add_axes([0.0, 0.0, 1.0, 1.0]			)
				ax.axis("off"			)
				ax.set_xlim(0.0       ,_snake_case			)
				ax.set_ylim(_snake_case			)

				UpperCAmelCase_			:	Tuple      =   saveas
				UpperCAmelCase_			:	List[Any]      =   rgb
				UpperCAmelCase_			:	Dict      =   pynb
				UpperCAmelCase_			:	List[Any]      =   img
				UpperCAmelCase_			:	Optional[Any]      =   edgecolor
				UpperCAmelCase_			:	Optional[int]      =   0.5
				UpperCAmelCase_			:	int      =   linestyle
				UpperCAmelCase_			:	Optional[int]      =   int(np.sqrt(min(_snake_case       ,_snake_case			)			) * scale // 3			)
				UpperCAmelCase_			:	int      =   width
				UpperCAmelCase_			:	Tuple      =   height
				UpperCAmelCase_			:	Any      =   scale
				UpperCAmelCase_			:	Tuple      =   fig
				UpperCAmelCase_			:	Tuple      =   ax
				UpperCAmelCase_			:	int      =   pad
				UpperCAmelCase_			:	int      =   idaobj
				UpperCAmelCase_			:	Dict      =   idaattr
				UpperCAmelCase_			:	Tuple      =   FigureCanvasAgg(_snake_case			)






			def 						UpperCamelCase__				(   self       ,_snake_case       ,_snake_case=None			):
				if color is None:
					UpperCAmelCase_			:	List[str]      =   self.edgecolor
				((UpperCAmelCase_) , (UpperCAmelCase_) , (UpperCAmelCase_) , (UpperCAmelCase_))			:	str      =   box
				UpperCAmelCase_			:	Any      =   xa - xa
				UpperCAmelCase_			:	Union[str, Any]      =   ya - ya
				self.ax.add_patch(
				    mpl.patches.Rectangle(
				        (xa, ya)       ,_snake_case       ,_snake_case       ,fill=_snake_case       ,edgecolor=_snake_case       ,linewidth=self.font_size // 3       ,alpha=self.alpha       ,linestyle=self.linestyle       ,)			)






			def 						UpperCamelCase__				(   self       ,_snake_case       ,_snake_case=None       ,_snake_case=None       ,_snake_case=None       ,_snake_case=None			):
				if len(boxes.shape			) > 2:
					UpperCAmelCase_			:	Optional[Any]      =   boxes[0]
				if len(obj_ids.shape			) > 1:
					UpperCAmelCase_			:	Optional[int]      =   obj_ids[0]
				if len(obj_scores.shape			) > 1:
					UpperCAmelCase_			:	Any      =   obj_scores[0]
				if len(attr_ids.shape			) > 1:
					UpperCAmelCase_			:	str      =   attr_ids[0]
				if len(attr_scores.shape			) > 1:
					UpperCAmelCase_			:	Dict      =   attr_scores[0]
				if isinstance(_snake_case       ,torch.Tensor			):
					UpperCAmelCase_			:	List[Any]      =   boxes.numpy()
				if isinstance(_snake_case       ,_snake_case			):
					UpperCAmelCase_			:	str      =   np.array(_snake_case			)
				assert isinstance(_snake_case       ,np.ndarray			)
				UpperCAmelCase_			:	Tuple      =   np.prod(boxes[:, 2:] - boxes[:, :2]       ,axis=1			)
				UpperCAmelCase_			:	Dict      =   np.argsort(-areas			).tolist()
				UpperCAmelCase_			:	str      =   boxes[sorted_idxs] if boxes is not None else None
				UpperCAmelCase_			:	List[str]      =   obj_ids[sorted_idxs] if obj_ids is not None else None
				UpperCAmelCase_			:	Optional[Any]      =   obj_scores[sorted_idxs] if obj_scores is not None else None
				UpperCAmelCase_			:	Optional[int]      =   attr_ids[sorted_idxs] if attr_ids is not None else None
				UpperCAmelCase_			:	Dict      =   attr_scores[sorted_idxs] if attr_scores is not None else None

				UpperCAmelCase_			:	int      =   [self._random_color(maximum=1			) for _ in range(len(_snake_case			)			)]
				UpperCAmelCase_			:	Union[str, Any]      =   [assigned_colors[idx] for idx in sorted_idxs]
				if obj_ids is not None:
					UpperCAmelCase_			:	Dict      =   self._create_text_labels_attr(_snake_case       ,_snake_case       ,_snake_case       ,_snake_case			)
					for i in range(len(_snake_case			)			):
						UpperCAmelCase_			:	List[Any]      =   assigned_colors[i]
						self.add_box(boxes[i]       ,_snake_case			)
						self.draw_labels(labels[i]       ,boxes[i]       ,_snake_case			)






			def 						UpperCamelCase__				(   self       ,_snake_case       ,_snake_case       ,_snake_case			):
				UpperCAmelCase_ , UpperCAmelCase_ , UpperCAmelCase_ , UpperCAmelCase_			:	Tuple      =   box
				UpperCAmelCase_			:	List[Any]      =   (xa, ya)
				UpperCAmelCase_			:	Optional[int]      =   (ya - ya) * (xa - xa)
				UpperCAmelCase_			:	Optional[Any]      =   _SMALL_OBJ * self.scale
				if instance_area < small or ya - ya < 40 * self.scale:
					if ya >= self.height - 5:
						UpperCAmelCase_			:	Any      =   (xa, ya)
					else:
						UpperCAmelCase_			:	Optional[Any]      =   (xa, ya)

				UpperCAmelCase_			:	Tuple      =   (ya - ya) / np.sqrt(self.height * self.width			)
				UpperCAmelCase_			:	Union[str, Any]      =   self._change_color_brightness(_snake_case       ,brightness_factor=0.7			)
				UpperCAmelCase_			:	Union[str, Any]      =   np.clip((height_ratio - 0.02) / 0.08 + 1       ,1.2       ,2			)
				font_size *= 0.75 * self.font_size

				self.draw_text(
				    text=_snake_case       ,position=_snake_case       ,color=_snake_case       ,)






			def 						UpperCamelCase__				(   self       ,_snake_case       ,_snake_case       ,_snake_case="g"       ,_snake_case="left"       ,):
				UpperCAmelCase_			:	Any      =   0
				UpperCAmelCase_			:	Optional[int]      =   self.font_size
				UpperCAmelCase_			:	Tuple      =   np.maximum(list(mplc.to_rgb(_snake_case			)			)       ,0.2			)
				UpperCAmelCase_			:	Dict      =   max(0.8       ,np.max(_snake_case			)			)
				UpperCAmelCase_			:	Optional[int]      =   {
				    "facecolor": "black",
				    "alpha": self.alpha,
				    "pad": self.pad,
				    "edgecolor": "none",
				}
				UpperCAmelCase_ , UpperCAmelCase_			:	str      =   position
				self.ax.text(
				    _snake_case       ,_snake_case       ,_snake_case       ,size=font_size * self.scale       ,family="sans-serif"       ,bbox=_snake_case       ,verticalalignment="top"       ,horizontalalignment=_snake_case       ,color=_snake_case       ,zorder=10       ,rotation=_snake_case       ,)






			def 						UpperCamelCase__				(   self       ,_snake_case=None			):
				if saveas is None:
					UpperCAmelCase_			:	List[str]      =   self.saveas
				if saveas.lower().endswith(".jpg"			) or saveas.lower().endswith(".png"			):
					cva.imwrite(
					    _snake_case       ,self._get_buffer()[:, :, ::-1]       ,)
				else:
					self.fig.savefig(_snake_case			)






			def 						UpperCamelCase__				(   self       ,_snake_case       ,_snake_case       ,_snake_case       ,_snake_case			):
				UpperCAmelCase_			:	int      =   [self.idaobj[i] for i in classes]
				UpperCAmelCase_			:	Tuple      =   [self.idaattr[i] for i in attr_classes]
				UpperCAmelCase_			:	Dict      =   [
				    f'''{label} {score:.2f} {attr} {attr_score:.2f}'''
				    for label, score, attr, attr_score in zip(_snake_case       ,_snake_case       ,_snake_case       ,_snake_case			)
				]
				return labels






			def 						UpperCamelCase__				(   self       ,_snake_case       ,_snake_case			):
				UpperCAmelCase_			:	int      =   [self.idaobj[i] for i in classes]
				if scores is not None:
					if labels is None:
						UpperCAmelCase_			:	int      =   ["{:.0f}%".format(s * 1_00			) for s in scores]
					else:
						UpperCAmelCase_			:	List[str]      =   ["{} {:.0f}%".format(_snake_case       ,s * 1_00			) for li, s in zip(_snake_case       ,_snake_case			)]
				return labels






			def 						UpperCamelCase__				(   self       ,_snake_case=2_55			):
				UpperCAmelCase_			:	int      =   np.random.randint(0       ,len(_COLORS			)			)
				UpperCAmelCase_			:	List[Any]      =   _COLORS[idx] * maximum
				if not self.rgb:
					UpperCAmelCase_			:	Any      =   ret[::-1]
				return ret






			def 						UpperCamelCase__				(   self			):
				if not self.pynb:
					UpperCAmelCase_ , UpperCAmelCase_			:	List[str]      =   self.canvas.print_to_buffer()
					if (width, height) != (self.width, self.height):
						UpperCAmelCase_			:	Dict      =   cva.resize(self.img       ,(width, height)			)
					else:
						UpperCAmelCase_			:	str      =   self.img
				else:
					UpperCAmelCase_			:	Optional[Any]      =   io.BytesIO()  # works for cairo backend
					self.canvas.print_rgba(_snake_case			)
					UpperCAmelCase_ , UpperCAmelCase_			:	int      =   self.width, self.height
					UpperCAmelCase_			:	int      =   buf.getvalue()
					UpperCAmelCase_			:	List[str]      =   self.img

				UpperCAmelCase_			:	Tuple      =   np.frombuffer(_snake_case       ,dtype="uint8"			)
				UpperCAmelCase_			:	int      =   buffer.reshape(_snake_case       ,_snake_case       ,4			)
				UpperCAmelCase_ , UpperCAmelCase_			:	Optional[int]      =   np.split(_snake_case       ,[3]       ,axis=2			)

				try:
					import numexpr as ne  # fuse them with numexpr

					UpperCAmelCase_			:	Dict      =   ne.evaluate("img * (1 - alpha / 255.0) + rgb * (alpha / 255.0)"			)
				except ImportError:
					UpperCAmelCase_			:	str      =   alpha.astype("float32"			) / 255.0
					UpperCAmelCase_			:	Optional[Any]      =   img * (1 - alpha) + rgb * alpha

				return visualized_image.astype("uint8"			)






			def 						UpperCamelCase__				(   self       ,_snake_case       ,_snake_case			):
				assert brightness_factor >= -1.0 and brightness_factor <= 1.0
				UpperCAmelCase_			:	Optional[Any]      =   mplc.to_rgb(_snake_case			)
				UpperCAmelCase_			:	List[str]      =   colorsys.rgb_to_hls(*mplc.to_rgb(_snake_case			)			)
				UpperCAmelCase_			:	List[Any]      =   polygon_color[1] + (brightness_factor * polygon_color[1])
				UpperCAmelCase_			:	int      =   0.0 if modified_lightness < 0.0 else modified_lightness
				UpperCAmelCase_			:	List[str]      =   1.0 if modified_lightness > 1.0 else modified_lightness
				UpperCAmelCase_			:	Union[str, Any]      =   colorsys.hls_to_rgb(polygon_color[0]       ,_snake_case       ,polygon_color[2]			)
				return modified_color




_lowerCamelCase	 =			(
    np.array(
        [
            0.0_00,
            0.4_47,
            0.7_41,
            0.8_50,
            0.3_25,
            0.0_98,
            0.9_29,
            0.6_94,
            0.1_25,
            0.4_94,
            0.1_84,
            0.5_56,
            0.4_66,
            0.6_74,
            0.1_88,
            0.3_01,
            0.7_45,
            0.9_33,
            0.6_35,
            0.0_78,
            0.1_84,
            0.3_00,
            0.3_00,
            0.3_00,
            0.6_00,
            0.6_00,
            0.6_00,
            1.0_00,
            0.0_00,
            0.0_00,
            1.0_00,
            0.5_00,
            0.0_00,
            0.7_49,
            0.7_49,
            0.0_00,
            0.0_00,
            1.0_00,
            0.0_00,
            0.0_00,
            0.0_00,
            1.0_00,
            0.6_67,
            0.0_00,
            1.0_00,
            0.3_33,
            0.3_33,
            0.0_00,
            0.3_33,
            0.6_67,
            0.0_00,
            0.3_33,
            1.0_00,
            0.0_00,
            0.6_67,
            0.3_33,
            0.0_00,
            0.6_67,
            0.6_67,
            0.0_00,
            0.6_67,
            1.0_00,
            0.0_00,
            1.0_00,
            0.3_33,
            0.0_00,
            1.0_00,
            0.6_67,
            0.0_00,
            1.0_00,
            1.0_00,
            0.0_00,
            0.0_00,
            0.3_33,
            0.5_00,
            0.0_00,
            0.6_67,
            0.5_00,
            0.0_00,
            1.0_00,
            0.5_00,
            0.3_33,
            0.0_00,
            0.5_00,
            0.3_33,
            0.3_33,
            0.5_00,
            0.3_33,
            0.6_67,
            0.5_00,
            0.3_33,
            1.0_00,
            0.5_00,
            0.6_67,
            0.0_00,
            0.5_00,
            0.6_67,
            0.3_33,
            0.5_00,
            0.6_67,
            0.6_67,
            0.5_00,
            0.6_67,
            1.0_00,
            0.5_00,
            1.0_00,
            0.0_00,
            0.5_00,
            1.0_00,
            0.3_33,
            0.5_00,
            1.0_00,
            0.6_67,
            0.5_00,
            1.0_00,
            1.0_00,
            0.5_00,
            0.0_00,
            0.3_33,
            1.0_00,
            0.0_00,
            0.6_67,
            1.0_00,
            0.0_00,
            1.0_00,
            1.0_00,
            0.3_33,
            0.0_00,
            1.0_00,
            0.3_33,
            0.3_33,
            1.0_00,
            0.3_33,
            0.6_67,
            1.0_00,
            0.3_33,
            1.0_00,
            1.0_00,
            0.6_67,
            0.0_00,
            1.0_00,
            0.6_67,
            0.3_33,
            1.0_00,
            0.6_67,
            0.6_67,
            1.0_00,
            0.6_67,
            1.0_00,
            1.0_00,
            1.0_00,
            0.0_00,
            1.0_00,
            1.0_00,
            0.3_33,
            1.0_00,
            1.0_00,
            0.6_67,
            1.0_00,
            0.3_33,
            0.0_00,
            0.0_00,
            0.5_00,
            0.0_00,
            0.0_00,
            0.6_67,
            0.0_00,
            0.0_00,
            0.8_33,
            0.0_00,
            0.0_00,
            1.0_00,
            0.0_00,
            0.0_00,
            0.0_00,
            0.1_67,
            0.0_00,
            0.0_00,
            0.3_33,
            0.0_00,
            0.0_00,
            0.5_00,
            0.0_00,
            0.0_00,
            0.6_67,
            0.0_00,
            0.0_00,
            0.8_33,
            0.0_00,
            0.0_00,
            1.0_00,
            0.0_00,
            0.0_00,
            0.0_00,
            0.1_67,
            0.0_00,
            0.0_00,
            0.3_33,
            0.0_00,
            0.0_00,
            0.5_00,
            0.0_00,
            0.0_00,
            0.6_67,
            0.0_00,
            0.0_00,
            0.8_33,
            0.0_00,
            0.0_00,
            1.0_00,
            0.0_00,
            0.0_00,
            0.0_00,
            0.1_43,
            0.1_43,
            0.1_43,
            0.8_57,
            0.8_57,
            0.8_57,
            1.0_00,
            1.0_00,
            1.0_00,
        ]
    )
    .astype(np.floataa)
    .reshape(-1, 3)
)







'''simple docstring'''
from transformers import PretrainedConfig
class  _snake_case						(__SCREAMING_SNAKE_CASE):
			__A   :     Optional[Any]          ="custom"






			def __init__(   self       ,_snake_case=1       ,**_snake_case			):
				UpperCAmelCase_			:	Optional[int]      =   attribute
				super().__init__(**_snake_case			)




class  _snake_case						(__SCREAMING_SNAKE_CASE):
			__A   :     Dict          ="custom"






			def __init__(   self       ,_snake_case=1       ,**_snake_case			):
				UpperCAmelCase_			:	Optional[int]      =   attribute




