





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


__UpperCAmelCase			:  List[str]										=				1_000







class        __snake_case			:





       '''simple docstring'''







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

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

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




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

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




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

         __snake_case:		str					    =		(ya - ya) / np.sqrt(self.height * self.width						)
         __snake_case:		List[Any]					    =		self._change_color_brightness(A				,							brightness_factor=0.7						)
         __snake_case:		Optional[int]					    =		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 				UpperCAmelCase__					(    self					:       Any				,							A					:       Union[str, Any]				,							A					:       Optional[Any]				,							A					:       Dict="g"				,							A					:       Union[str, Any]="left"				,							):
         __snake_case:		Tuple					    =		0
         __snake_case:		Optional[int]					    =		self.font_size
         __snake_case:		int					    =		np.maximum(list(mplc.to_rgb(A						)						)				,							0.2						)
         __snake_case:		Tuple					    =		max(0.8				,							np.max(A						)						)
         __snake_case:		Union[str, Any]					    =		{
             """facecolor""": """black""",
             """alpha""": self.alpha,
             """pad""": self.pad,
             """edgecolor""": """none""",
         }
         __snake_case    ,  __snake_case:		Optional[int]					    =		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 				UpperCAmelCase__					(    self					:       Optional[int]				,							A					:       List[str]=None						):
         if saveas is None:
           __snake_case:		Any					    =		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 				UpperCAmelCase__					(    self					:       int				,							A					:       List[str]				,							A					:       Optional[Any]				,							A					:       int				,							A					:       Any						):
         __snake_case:		Any					    =		[self.idaobj[i] for i in classes]
         __snake_case:		Any					    =		[self.idaattr[i] for i in attr_classes]
         __snake_case:		Union[str, Any]					    =		[
             f'''{label} {score:.2f} {attr} {attr_score:.2f}'''
             for label, score, attr, attr_score in zip(A				,							A				,							A				,							A						)
         ]
         return labels




       def 				UpperCAmelCase__					(    self					:       Tuple				,							A					:       Optional[int]				,							A					:       int						):
         __snake_case:		Optional[Any]					    =		[self.idaobj[i] for i in classes]
         if scores is not None:
           if labels is None:
             __snake_case:		int					    =		["""{:.0f}%""".format(s * 100						) for s in scores]
           else:
             __snake_case:		Union[str, Any]					    =		["""{} {:.0f}%""".format(A				,							s * 100						) for li, s in zip(A				,							A						)]
         return labels




       def 				UpperCAmelCase__					(    self					:       Union[str, Any]				,							A					:       Dict=255						):
         __snake_case:		Union[str, Any]					    =		np.random.randint(0				,							len(_COLORS						)						)
         __snake_case:		Dict					    =		_COLORS[idx] * maximum
         if not self.rgb:
           __snake_case:		Tuple					    =		ret[::-1]
         return ret




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

         __snake_case:		str					    =		np.frombuffer(A				,							dtype="""uint8"""						)
         __snake_case:		Optional[int]					    =		buffer.reshape(A				,							A				,							4						)
         __snake_case    ,  __snake_case:		List[str]					    =		np.split(A				,							[3]				,							axis=2						)

         try:
           import numexpr as ne  # fuse them with numexpr

           __snake_case:		Union[str, Any]					    =		ne.evaluate("""img * (1 - alpha / 255.0) + rgb * (alpha / 255.0)"""						)
         except ImportError:
           __snake_case:		Tuple					    =		alpha.astype("""float32"""						) / 255.0
           __snake_case:		List[Any]					    =		img * (1 - alpha) + rgb * alpha

         return visualized_image.astype("""uint8"""						)






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






__UpperCAmelCase			:  int										=				(
    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)
)













from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__UpperCAmelCase			:  Optional[Any]										=				{"configuration_sew_d": ["SEW_D_PRETRAINED_CONFIG_ARCHIVE_MAP", "SEWDConfig"]}

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      __UpperCAmelCase			:  str										=				[
          "SEW_D_PRETRAINED_MODEL_ARCHIVE_LIST",
          "SEWDForCTC",
          "SEWDForSequenceClassification",
          "SEWDModel",
          "SEWDPreTrainedModel",
      ]

if TYPE_CHECKING:
      from .configuration_sew_d import SEW_D_PRETRAINED_CONFIG_ARCHIVE_MAP, SEWDConfig

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_sew_d import (
                SEW_D_PRETRAINED_MODEL_ARCHIVE_LIST,
                SEWDForCTC,
                SEWDForSequenceClassification,
                SEWDModel,
                SEWDPreTrainedModel,
            )


else:
      import sys

      __UpperCAmelCase			:  Union[str, Any]										=				_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)






