

'''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       :      Tuple  	=			10_00







class   UpperCamelCase__   :


		"""simple docstring"""

		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   ,      ):


							'''simple docstring'''

							if isinstance(snake_case   ,      torch.Tensor      ):
												UpperCAmelCase		:							List[str]        =       img.numpy().astype("np.uint8"      )
							if isinstance(snake_case   ,      snake_case      ):
												UpperCAmelCase		:							List[Any]        =       img_tensorize(snake_case      )
							assert isinstance(snake_case   ,      np.ndarray      )

							UpperCAmelCase ,			UpperCAmelCase		:							Union[str, Any]        =       img.shape[1], img.shape[0]
							UpperCAmelCase		:							List[str]        =       mplfigure.Figure(frameon=snake_case      )
							UpperCAmelCase		:							Union[str, Any]        =       fig.get_dpi()
							UpperCAmelCase		:							List[Any]        =       (width * scale + 1e-2) / dpi
							UpperCAmelCase		:							Dict        =       (height * scale + 1e-2) / dpi
							fig.set_size_inches(snake_case   ,      snake_case      )
							UpperCAmelCase		:							int        =       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		:							Dict        =       saveas
							UpperCAmelCase		:							Any        =       rgb
							UpperCAmelCase		:							str        =       pynb
							UpperCAmelCase		:							Union[str, Any]        =       img
							UpperCAmelCase		:							Optional[int]        =       edgecolor
							UpperCAmelCase		:							List[str]        =       0.5
							UpperCAmelCase		:							Dict        =       linestyle
							UpperCAmelCase		:							List[str]        =       int(np.sqrt(min(snake_case   ,      snake_case      )      ) * scale // 3      )
							UpperCAmelCase		:							int        =       width
							UpperCAmelCase		:							List[str]        =       height
							UpperCAmelCase		:							Any        =       scale
							UpperCAmelCase		:							Optional[int]        =       fig
							UpperCAmelCase		:							List[str]        =       ax
							UpperCAmelCase		:							Tuple        =       pad
							UpperCAmelCase		:							Union[str, Any]        =       idaobj
							UpperCAmelCase		:							Any        =       idaattr
							UpperCAmelCase		:							Union[str, Any]        =       FigureCanvasAgg(snake_case      )







		def 				A_	(			self   ,      snake_case   ,      snake_case=None      ):


							'''simple docstring'''

							if color is None:
												UpperCAmelCase		:							List[Any]        =       self.edgecolor
							((UpperCAmelCase) ,			(UpperCAmelCase) ,			(UpperCAmelCase) ,			(UpperCAmelCase))		:							int        =       box
							UpperCAmelCase		:							Dict        =       xa - xa
							UpperCAmelCase		:							Optional[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 				A_	(			self   ,      snake_case   ,      snake_case=None   ,      snake_case=None   ,      snake_case=None   ,      snake_case=None      ):


							'''simple docstring'''

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

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







		def 				A_	(			self   ,      snake_case   ,      snake_case   ,      snake_case      ):


							'''simple docstring'''

							UpperCAmelCase ,			UpperCAmelCase ,			UpperCAmelCase ,			UpperCAmelCase		:							Tuple        =       box
							UpperCAmelCase		:							Tuple        =       (xa, ya)
							UpperCAmelCase		:							Dict        =       (ya - ya) * (xa - xa)
							UpperCAmelCase		:							Optional[Any]        =       _SMALL_OBJ * self.scale
							if instance_area < small or ya - ya < 4_0 * self.scale:
												if ya >= self.height - 5:
																	UpperCAmelCase		:							Dict        =       (xa, ya)
												else:
																	UpperCAmelCase		:							str        =       (xa, ya)

							UpperCAmelCase		:							Any        =       (ya - ya) / np.sqrt(self.height * self.width      )
							UpperCAmelCase		:							Optional[Any]        =       self._change_color_brightness(snake_case   ,      brightness_factor=0.7      )
							UpperCAmelCase		:							Dict        =       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 				A_	(			self   ,      snake_case   ,      snake_case   ,      snake_case="g"   ,      snake_case="left"   ,      ):


							'''simple docstring'''

							UpperCAmelCase		:							List[str]        =       0
							UpperCAmelCase		:							Optional[Any]        =       self.font_size
							UpperCAmelCase		:							Optional[Any]        =       np.maximum(list(mplc.to_rgb(snake_case      )      )   ,      0.2      )
							UpperCAmelCase		:							str        =       max(0.8   ,      np.max(snake_case      )      )
							UpperCAmelCase		:							Optional[int]        =       {
							    "facecolor": "black",
							    "alpha": self.alpha,
							    "pad": self.pad,
							    "edgecolor": "none",
							}
							UpperCAmelCase ,			UpperCAmelCase		:							Any        =       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=1_0   ,      rotation=snake_case   ,      )







		def 				A_	(			self   ,      snake_case=None      ):


							'''simple docstring'''

							if saveas is None:
												UpperCAmelCase		:							List[Any]        =       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 				A_	(			self   ,      snake_case   ,      snake_case   ,      snake_case   ,      snake_case      ):


							'''simple docstring'''

							UpperCAmelCase		:							Union[str, Any]        =       [self.idaobj[i] for i in classes]
							UpperCAmelCase		:							Any        =       [self.idaattr[i] for i in attr_classes]
							UpperCAmelCase		:							str        =       [
							    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 				A_	(			self   ,      snake_case   ,      snake_case      ):


							'''simple docstring'''

							UpperCAmelCase		:							Dict        =       [self.idaobj[i] for i in classes]
							if scores is not None:
												if labels is None:
																	UpperCAmelCase		:							Union[str, Any]        =       ["{:.0f}%".format(s * 1_0_0      ) for s in scores]
												else:
																	UpperCAmelCase		:							List[Any]        =       ["{} {:.0f}%".format(snake_case   ,      s * 1_0_0      ) for li, s in zip(snake_case   ,      snake_case      )]
							return labels







		def 				A_	(			self   ,      snake_case=2_5_5      ):


							'''simple docstring'''

							UpperCAmelCase		:							Optional[Any]        =       np.random.randint(0   ,      len(_COLORS      )      )
							UpperCAmelCase		:							List[str]        =       _COLORS[idx] * maximum
							if not self.rgb:
												UpperCAmelCase		:							List[Any]        =       ret[::-1]
							return ret







		def 				A_	(			self      ):


							'''simple docstring'''

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

							UpperCAmelCase		:							Any        =       np.frombuffer(snake_case   ,      dtype="uint8"      )
							UpperCAmelCase		:							List[Any]        =       buffer.reshape(snake_case   ,      snake_case   ,      4      )
							UpperCAmelCase ,			UpperCAmelCase		:							Any        =       np.split(snake_case   ,      [3]   ,      axis=2      )

							try:
												import numexpr as ne  # fuse them with numexpr

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

							return visualized_image.astype("uint8"      )







		def 				A_	(			self   ,      snake_case   ,      snake_case      ):


							'''simple docstring'''

							assert brightness_factor >= -1.0 and brightness_factor <= 1.0
							UpperCAmelCase		:							List[str]        =       mplc.to_rgb(snake_case      )
							UpperCAmelCase		:							Dict        =       colorsys.rgb_to_hls(*mplc.to_rgb(snake_case      )      )
							UpperCAmelCase		:							Dict        =       polygon_color[1] + (brightness_factor * polygon_color[1])
							UpperCAmelCase		:							List[Any]        =       0.0 if modified_lightness < 0.0 else modified_lightness
							UpperCAmelCase		:							List[Any]        =       1.0 if modified_lightness > 1.0 else modified_lightness
							UpperCAmelCase		:							Any        =       colorsys.hls_to_rgb(polygon_color[0]   ,      snake_case   ,      polygon_color[2]      )
							return modified_color


a       :      List[Any]  	=			(
    np.array(
        [
            0.0_0_0,
            0.4_4_7,
            0.7_4_1,
            0.8_5_0,
            0.3_2_5,
            0.0_9_8,
            0.9_2_9,
            0.6_9_4,
            0.1_2_5,
            0.4_9_4,
            0.1_8_4,
            0.5_5_6,
            0.4_6_6,
            0.6_7_4,
            0.1_8_8,
            0.3_0_1,
            0.7_4_5,
            0.9_3_3,
            0.6_3_5,
            0.0_7_8,
            0.1_8_4,
            0.3_0_0,
            0.3_0_0,
            0.3_0_0,
            0.6_0_0,
            0.6_0_0,
            0.6_0_0,
            1.0_0_0,
            0.0_0_0,
            0.0_0_0,
            1.0_0_0,
            0.5_0_0,
            0.0_0_0,
            0.7_4_9,
            0.7_4_9,
            0.0_0_0,
            0.0_0_0,
            1.0_0_0,
            0.0_0_0,
            0.0_0_0,
            0.0_0_0,
            1.0_0_0,
            0.6_6_7,
            0.0_0_0,
            1.0_0_0,
            0.3_3_3,
            0.3_3_3,
            0.0_0_0,
            0.3_3_3,
            0.6_6_7,
            0.0_0_0,
            0.3_3_3,
            1.0_0_0,
            0.0_0_0,
            0.6_6_7,
            0.3_3_3,
            0.0_0_0,
            0.6_6_7,
            0.6_6_7,
            0.0_0_0,
            0.6_6_7,
            1.0_0_0,
            0.0_0_0,
            1.0_0_0,
            0.3_3_3,
            0.0_0_0,
            1.0_0_0,
            0.6_6_7,
            0.0_0_0,
            1.0_0_0,
            1.0_0_0,
            0.0_0_0,
            0.0_0_0,
            0.3_3_3,
            0.5_0_0,
            0.0_0_0,
            0.6_6_7,
            0.5_0_0,
            0.0_0_0,
            1.0_0_0,
            0.5_0_0,
            0.3_3_3,
            0.0_0_0,
            0.5_0_0,
            0.3_3_3,
            0.3_3_3,
            0.5_0_0,
            0.3_3_3,
            0.6_6_7,
            0.5_0_0,
            0.3_3_3,
            1.0_0_0,
            0.5_0_0,
            0.6_6_7,
            0.0_0_0,
            0.5_0_0,
            0.6_6_7,
            0.3_3_3,
            0.5_0_0,
            0.6_6_7,
            0.6_6_7,
            0.5_0_0,
            0.6_6_7,
            1.0_0_0,
            0.5_0_0,
            1.0_0_0,
            0.0_0_0,
            0.5_0_0,
            1.0_0_0,
            0.3_3_3,
            0.5_0_0,
            1.0_0_0,
            0.6_6_7,
            0.5_0_0,
            1.0_0_0,
            1.0_0_0,
            0.5_0_0,
            0.0_0_0,
            0.3_3_3,
            1.0_0_0,
            0.0_0_0,
            0.6_6_7,
            1.0_0_0,
            0.0_0_0,
            1.0_0_0,
            1.0_0_0,
            0.3_3_3,
            0.0_0_0,
            1.0_0_0,
            0.3_3_3,
            0.3_3_3,
            1.0_0_0,
            0.3_3_3,
            0.6_6_7,
            1.0_0_0,
            0.3_3_3,
            1.0_0_0,
            1.0_0_0,
            0.6_6_7,
            0.0_0_0,
            1.0_0_0,
            0.6_6_7,
            0.3_3_3,
            1.0_0_0,
            0.6_6_7,
            0.6_6_7,
            1.0_0_0,
            0.6_6_7,
            1.0_0_0,
            1.0_0_0,
            1.0_0_0,
            0.0_0_0,
            1.0_0_0,
            1.0_0_0,
            0.3_3_3,
            1.0_0_0,
            1.0_0_0,
            0.6_6_7,
            1.0_0_0,
            0.3_3_3,
            0.0_0_0,
            0.0_0_0,
            0.5_0_0,
            0.0_0_0,
            0.0_0_0,
            0.6_6_7,
            0.0_0_0,
            0.0_0_0,
            0.8_3_3,
            0.0_0_0,
            0.0_0_0,
            1.0_0_0,
            0.0_0_0,
            0.0_0_0,
            0.0_0_0,
            0.1_6_7,
            0.0_0_0,
            0.0_0_0,
            0.3_3_3,
            0.0_0_0,
            0.0_0_0,
            0.5_0_0,
            0.0_0_0,
            0.0_0_0,
            0.6_6_7,
            0.0_0_0,
            0.0_0_0,
            0.8_3_3,
            0.0_0_0,
            0.0_0_0,
            1.0_0_0,
            0.0_0_0,
            0.0_0_0,
            0.0_0_0,
            0.1_6_7,
            0.0_0_0,
            0.0_0_0,
            0.3_3_3,
            0.0_0_0,
            0.0_0_0,
            0.5_0_0,
            0.0_0_0,
            0.0_0_0,
            0.6_6_7,
            0.0_0_0,
            0.0_0_0,
            0.8_3_3,
            0.0_0_0,
            0.0_0_0,
            1.0_0_0,
            0.0_0_0,
            0.0_0_0,
            0.0_0_0,
            0.1_4_3,
            0.1_4_3,
            0.1_4_3,
            0.8_5_7,
            0.8_5_7,
            0.8_5_7,
            1.0_0_0,
            1.0_0_0,
            1.0_0_0,
        ]
    )
    .astype(np.floataa)
    .reshape(-1, 3)
)



'''simple docstring'''

from ..utils import DummyObject, requires_backends







class   UpperCamelCase__   (       metaclass=lowercase__       ):


		"""simple docstring"""

		SCREAMING_SNAKE_CASE__  :     List[Any]       =							["torch", "transformers", "invisible_watermark"]







		def __init__(			self   ,      *snake_case   ,      **snake_case      ):


							'''simple docstring'''

							requires_backends(self   ,      ["torch", "transformers", "invisible_watermark"]      )







		@classmethod
		def 				A_	(			cls   ,      *snake_case   ,      **snake_case      ):


							'''simple docstring'''

							requires_backends(cls   ,      ["torch", "transformers", "invisible_watermark"]      )







		@classmethod
		def 				A_	(			cls   ,      *snake_case   ,      **snake_case      ):


							'''simple docstring'''

							requires_backends(cls   ,      ["torch", "transformers", "invisible_watermark"]      )







class   UpperCamelCase__   (       metaclass=lowercase__       ):


		"""simple docstring"""

		SCREAMING_SNAKE_CASE__  :     int       =							["torch", "transformers", "invisible_watermark"]







		def __init__(			self   ,      *snake_case   ,      **snake_case      ):


							'''simple docstring'''

							requires_backends(self   ,      ["torch", "transformers", "invisible_watermark"]      )







		@classmethod
		def 				A_	(			cls   ,      *snake_case   ,      **snake_case      ):


							'''simple docstring'''

							requires_backends(cls   ,      ["torch", "transformers", "invisible_watermark"]      )







		@classmethod
		def 				A_	(			cls   ,      *snake_case   ,      **snake_case      ):


							'''simple docstring'''

							requires_backends(cls   ,      ["torch", "transformers", "invisible_watermark"]      )
