


'''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


a__    :   Dict								=			1_0_0_0
class    lowercase_	:


    def __init__(	self    ,   a    ,   a=1.2    ,   a="g"    ,   a=0.5    ,   a="-"    ,   a="test_out.jpg"    ,   a=True    ,   a=False    ,   a=None    ,   a=None    ,   a=0.7    ,   ):
          if isinstance(a    ,   torch.Tensor       ):
                UpperCamelCase__      =							img.numpy().astype("np.uint8"       )
          if isinstance(a    ,   a       ):
                UpperCamelCase__      =							img_tensorize(a       )
          assert isinstance(a    ,   np.ndarray       )

          UpperCamelCase__   ,      UpperCamelCase__      =							img.shape[1], img.shape[0]
          UpperCamelCase__      =							mplfigure.Figure(frameon=a       )
          UpperCamelCase__      =							fig.get_dpi()
          UpperCamelCase__      =							(width * scale + 1e-2) / dpi
          UpperCamelCase__      =							(height * scale + 1e-2) / dpi
          fig.set_size_inches(a    ,   a       )
          UpperCamelCase__      =							fig.add_axes([0.0, 0.0, 1.0, 1.0]       )
          ax.axis("off"       )
          ax.set_xlim(0.0    ,   a       )
          ax.set_ylim(a       )

          UpperCamelCase__      =							saveas
          UpperCamelCase__      =							rgb
          UpperCamelCase__      =							pynb
          UpperCamelCase__      =							img
          UpperCamelCase__      =							edgecolor
          UpperCamelCase__      =							0.5
          UpperCamelCase__      =							linestyle
          UpperCamelCase__      =							int(np.sqrt(min(a    ,   a       )       ) * scale // 3       )
          UpperCamelCase__      =							width
          UpperCamelCase__      =							height
          UpperCamelCase__      =							scale
          UpperCamelCase__      =							fig
          UpperCamelCase__      =							ax
          UpperCamelCase__      =							pad
          UpperCamelCase__      =							idaobj
          UpperCamelCase__      =							idaattr
          UpperCamelCase__      =							FigureCanvasAgg(a       )


    def   __a				(	self    ,   a    ,   a=None       ):
          if color is None:
                UpperCamelCase__      =							self.edgecolor
          ((UpperCamelCase__)   ,      (UpperCamelCase__)   ,      (UpperCamelCase__)   ,      (UpperCamelCase__))      =							box
          UpperCamelCase__      =							xa - xa
          UpperCamelCase__      =							ya - ya
          self.ax.add_patch(
              mpl.patches.Rectangle(
                  (xa, ya)    ,   a    ,   a    ,   fill=a    ,   edgecolor=a    ,   linewidth=self.font_size // 3    ,   alpha=self.alpha    ,   linestyle=self.linestyle    ,   )       )


    def   __a				(	self    ,   a    ,   a=None    ,   a=None    ,   a=None    ,   a=None       ):
          if len(boxes.shape       ) > 2:
                UpperCamelCase__      =							boxes[0]
          if len(obj_ids.shape       ) > 1:
                UpperCamelCase__      =							obj_ids[0]
          if len(obj_scores.shape       ) > 1:
                UpperCamelCase__      =							obj_scores[0]
          if len(attr_ids.shape       ) > 1:
                UpperCamelCase__      =							attr_ids[0]
          if len(attr_scores.shape       ) > 1:
                UpperCamelCase__      =							attr_scores[0]
          if isinstance(a    ,   torch.Tensor       ):
                UpperCamelCase__      =							boxes.numpy()
          if isinstance(a    ,   a       ):
                UpperCamelCase__      =							np.array(a       )
          assert isinstance(a    ,   np.ndarray       )
          UpperCamelCase__      =							np.prod(boxes[:, 2:] - boxes[:, :2]    ,   axis=1       )
          UpperCamelCase__      =							np.argsort(-areas       ).tolist()
          UpperCamelCase__      =							boxes[sorted_idxs] if boxes is not None else None
          UpperCamelCase__      =							obj_ids[sorted_idxs] if obj_ids is not None else None
          UpperCamelCase__      =							obj_scores[sorted_idxs] if obj_scores is not None else None
          UpperCamelCase__      =							attr_ids[sorted_idxs] if attr_ids is not None else None
          UpperCamelCase__      =							attr_scores[sorted_idxs] if attr_scores is not None else None

          UpperCamelCase__      =							[self._random_color(maximum=1       ) for _ in range(len(a       )       )]
          UpperCamelCase__      =							[assigned_colors[idx] for idx in sorted_idxs]
          if obj_ids is not None:
                UpperCamelCase__      =							self._create_text_labels_attr(a    ,   a    ,   a    ,   a       )
                for i in range(len(a       )       ):
                      UpperCamelCase__      =							assigned_colors[i]
                      self.add_box(boxes[i]    ,   a       )
                      self.draw_labels(labels[i]    ,   boxes[i]    ,   a       )


    def   __a				(	self    ,   a    ,   a    ,   a       ):
          UpperCamelCase__   ,      UpperCamelCase__   ,      UpperCamelCase__   ,      UpperCamelCase__      =							box
          UpperCamelCase__      =							(xa, ya)
          UpperCamelCase__      =							(ya - ya) * (xa - xa)
          UpperCamelCase__      =							_SMALL_OBJ * self.scale
          if instance_area < small or ya - ya < 40 * self.scale:
                if ya >= self.height - 5:
                      UpperCamelCase__      =							(xa, ya)
                else:
                      UpperCamelCase__      =							(xa, ya)

          UpperCamelCase__      =							(ya - ya) / np.sqrt(self.height * self.width       )
          UpperCamelCase__      =							self._change_color_brightness(a    ,   brightness_factor=0.7       )
          UpperCamelCase__      =							np.clip((height_ratio - 0.02) / 0.08 + 1    ,   1.2    ,   2       )
          font_size *= 0.75 * self.font_size

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


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


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


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


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


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


    def   __a				(	self       ):
          if not self.pynb:
                UpperCamelCase__   ,      UpperCamelCase__      =							self.canvas.print_to_buffer()
                if (width, height) != (self.width, self.height):
                      UpperCamelCase__      =							cva.resize(self.img    ,   (width, height)       )
                else:
                      UpperCamelCase__      =							self.img
          else:
                UpperCamelCase__      =							io.BytesIO()  # works for cairo backend
                self.canvas.print_rgba(a       )
                UpperCamelCase__   ,      UpperCamelCase__      =							self.width, self.height
                UpperCamelCase__      =							buf.getvalue()
                UpperCamelCase__      =							self.img

          UpperCamelCase__      =							np.frombuffer(a    ,   dtype="uint8"       )
          UpperCamelCase__      =							buffer.reshape(a    ,   a    ,   4       )
          UpperCamelCase__   ,      UpperCamelCase__      =							np.split(a    ,   [3]    ,   axis=2       )

          try:
                import numexpr as ne  # fuse them with numexpr

                UpperCamelCase__      =							ne.evaluate("img * (1 - alpha / 255.0) + rgb * (alpha / 255.0)"       )
          except ImportError:
                UpperCamelCase__      =							alpha.astype("float32"       ) / 255.0
                UpperCamelCase__      =							img * (1 - alpha) + rgb * alpha

          return visualized_image.astype("uint8"       )


    def   __a				(	self    ,   a    ,   a       ):
          assert brightness_factor >= -1.0 and brightness_factor <= 1.0
          UpperCamelCase__      =							mplc.to_rgb(a       )
          UpperCamelCase__      =							colorsys.rgb_to_hls(*mplc.to_rgb(a       )       )
          UpperCamelCase__      =							polygon_color[1] + (brightness_factor * polygon_color[1])
          UpperCamelCase__      =							0.0 if modified_lightness < 0.0 else modified_lightness
          UpperCamelCase__      =							1.0 if modified_lightness > 1.0 else modified_lightness
          UpperCamelCase__      =							colorsys.hls_to_rgb(polygon_color[0]    ,   a    ,   polygon_color[2]       )
          return modified_color

a__    :   Tuple								=			(
    np.array(
        [
            0.000,
            0.447,
            0.741,
            0.850,
            0.325,
            0.098,
            0.929,
            0.694,
            0.125,
            0.494,
            0.184,
            0.556,
            0.466,
            0.674,
            0.188,
            0.301,
            0.745,
            0.933,
            0.635,
            0.078,
            0.184,
            0.300,
            0.300,
            0.300,
            0.600,
            0.600,
            0.600,
            1.000,
            0.000,
            0.000,
            1.000,
            0.500,
            0.000,
            0.749,
            0.749,
            0.000,
            0.000,
            1.000,
            0.000,
            0.000,
            0.000,
            1.000,
            0.667,
            0.000,
            1.000,
            0.333,
            0.333,
            0.000,
            0.333,
            0.667,
            0.000,
            0.333,
            1.000,
            0.000,
            0.667,
            0.333,
            0.000,
            0.667,
            0.667,
            0.000,
            0.667,
            1.000,
            0.000,
            1.000,
            0.333,
            0.000,
            1.000,
            0.667,
            0.000,
            1.000,
            1.000,
            0.000,
            0.000,
            0.333,
            0.500,
            0.000,
            0.667,
            0.500,
            0.000,
            1.000,
            0.500,
            0.333,
            0.000,
            0.500,
            0.333,
            0.333,
            0.500,
            0.333,
            0.667,
            0.500,
            0.333,
            1.000,
            0.500,
            0.667,
            0.000,
            0.500,
            0.667,
            0.333,
            0.500,
            0.667,
            0.667,
            0.500,
            0.667,
            1.000,
            0.500,
            1.000,
            0.000,
            0.500,
            1.000,
            0.333,
            0.500,
            1.000,
            0.667,
            0.500,
            1.000,
            1.000,
            0.500,
            0.000,
            0.333,
            1.000,
            0.000,
            0.667,
            1.000,
            0.000,
            1.000,
            1.000,
            0.333,
            0.000,
            1.000,
            0.333,
            0.333,
            1.000,
            0.333,
            0.667,
            1.000,
            0.333,
            1.000,
            1.000,
            0.667,
            0.000,
            1.000,
            0.667,
            0.333,
            1.000,
            0.667,
            0.667,
            1.000,
            0.667,
            1.000,
            1.000,
            1.000,
            0.000,
            1.000,
            1.000,
            0.333,
            1.000,
            1.000,
            0.667,
            1.000,
            0.333,
            0.000,
            0.000,
            0.500,
            0.000,
            0.000,
            0.667,
            0.000,
            0.000,
            0.833,
            0.000,
            0.000,
            1.000,
            0.000,
            0.000,
            0.000,
            0.167,
            0.000,
            0.000,
            0.333,
            0.000,
            0.000,
            0.500,
            0.000,
            0.000,
            0.667,
            0.000,
            0.000,
            0.833,
            0.000,
            0.000,
            1.000,
            0.000,
            0.000,
            0.000,
            0.167,
            0.000,
            0.000,
            0.333,
            0.000,
            0.000,
            0.500,
            0.000,
            0.000,
            0.667,
            0.000,
            0.000,
            0.833,
            0.000,
            0.000,
            1.000,
            0.000,
            0.000,
            0.000,
            0.143,
            0.143,
            0.143,
            0.857,
            0.857,
            0.857,
            1.000,
            1.000,
            1.000,
        ]
    )
    .astype(np.floataa)
    .reshape(-1, 3)
)









'''simple docstring'''







from __future__ import annotations

from enum import Enum, unique
from typing import TypeVar

# Create a generic variable that can be 'Enum', or any subclass.
a__    :   Optional[Any]								=			TypeVar('T', bound='Enum')
@unique
class    lowercase_	(       a__  ):
    __UpperCAmelCase       =      80
    __UpperCAmelCase       =      70
    __UpperCAmelCase       =      60
    __UpperCAmelCase       =      50
    __UpperCAmelCase       =      40
    __UpperCAmelCase       =      30
    __UpperCAmelCase       =      20
    __UpperCAmelCase       =      10

@unique
class    lowercase_	(       a__  ):
    __UpperCAmelCase       =      24
    __UpperCAmelCase       =      21
    __UpperCAmelCase       =      18
    __UpperCAmelCase       =      15
    __UpperCAmelCase       =      12
    __UpperCAmelCase       =      9
    __UpperCAmelCase       =      6
    __UpperCAmelCase       =      3
    __UpperCAmelCase       =      2
    __UpperCAmelCase       =      1
    __UpperCAmelCase       =      -1
    __UpperCAmelCase       =      -2
    __UpperCAmelCase       =      -3
    __UpperCAmelCase       =      -6
    __UpperCAmelCase       =      -9
    __UpperCAmelCase       =      -12
    __UpperCAmelCase       =      -15
    __UpperCAmelCase       =      -18
    __UpperCAmelCase       =      -21
    __UpperCAmelCase       =      -24


    @classmethod
    def   __a				(	cls       ):
          return {unit.name: unit.value for unit in cls if unit.value > 0}


    @classmethod
    def   __a				(	cls       ):
          return {unit.name: unit.value for unit in cls if unit.value < 0}







def _UpperCamelCase			(	__A       )				->						str:


      '''simple docstring'''



      UpperCamelCase__      =							SIUnit.get_positive() if value > 0 else SIUnit.get_negative()
      for name_prefix, value_prefix in prefixes.items():
            UpperCamelCase__      =							value / (10**value_prefix)
            if numerical_part > 1:
                  return F'''{numerical_part!s} {name_prefix}'''
      return str(__A       )







def _UpperCamelCase			(	__A       )				->						str:


      '''simple docstring'''



      for prefix in BinaryUnit:
            UpperCamelCase__      =							value / (2**prefix.value)
            if numerical_part > 1:
                  return F'''{numerical_part!s} {prefix.name}'''
      return str(__A       )


if __name__ == "__main__":
  import doctest

  doctest.testmod()





