


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       =      1000

class   lowerCamelCase						:

       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						,    ):






        '''simple docstring'''






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

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

       def 					UpperCAmelCase					(      self						,    a__						,    a__=None       ):






        '''simple docstring'''






        if color is None:
         snake_case :			Any							=   self.edgecolor
        ((snake_case)	,       (snake_case)	,       (snake_case)	,       (snake_case)) :			Tuple							=   box
        snake_case :			int							=   xa - xa
        snake_case :			Tuple							=   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						,    a__						,    a__=None						,    a__=None						,    a__=None						,    a__=None       ):






        '''simple docstring'''






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

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

       def 					UpperCAmelCase					(      self						,    a__						,    a__						,    a__       ):






        '''simple docstring'''






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

        snake_case :			Optional[Any]							=   (ya - ya) / np.sqrt(self.height * self.width       )
        snake_case :			Union[str, 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						,    a__						,    a__						,    a__="g"						,    a__="left"						,    ):






        '''simple docstring'''






        snake_case :			List[Any]							=   0
        snake_case :			List[str]							=   self.font_size
        snake_case :			Union[str, Any]							=   np.maximum(list(mplc.to_rgb(a__       )       )						,    0.2       )
        snake_case :			List[Any]							=   max(0.8						,    np.max(a__       )       )
        snake_case :			Optional[Any]							=   {
            '''facecolor''': '''black''',
            '''alpha''': self.alpha,
            '''pad''': self.pad,
            '''edgecolor''': '''none''',
        }
        snake_case	,       snake_case :			Dict							=   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						,    a__=None       ):






        '''simple docstring'''






        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						,    a__						,    a__						,    a__						,    a__       ):






        '''simple docstring'''






        snake_case :			Dict							=   [self.idaobj[i] for i in classes]
        snake_case :			Tuple							=   [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						,    a__						,    a__       ):






        '''simple docstring'''






        snake_case :			List[Any]							=   [self.idaobj[i] for i in classes]
        if scores is not None:
         if labels is None:
          snake_case :			str							=   ['''{:.0f}%'''.format(s * 1_00       ) for s in scores]
         else:
          snake_case :			List[Any]							=   ['''{} {:.0f}%'''.format(a__						,    s * 1_00       ) for li, s in zip(a__						,    a__       )]
        return labels

       def 					UpperCAmelCase					(      self						,    a__=2_55       ):






        '''simple docstring'''






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

       def 					UpperCAmelCase					(      self       ):






        '''simple docstring'''






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

        snake_case :			str							=   np.frombuffer(a__						,    dtype='''uint8'''       )
        snake_case :			List[str]							=   buffer.reshape(a__						,    a__						,    4       )
        snake_case	,       snake_case :			Union[str, Any]							=   np.split(a__						,    [3]						,    axis=2       )

        try:
         import numexpr as ne  # fuse them with numexpr

         snake_case :			Dict							=   ne.evaluate('''img * (1 - alpha / 255.0) + rgb * (alpha / 255.0)'''       )
        except ImportError:
         snake_case :			Dict							=   alpha.astype('''float32'''       ) / 2_55.0
         snake_case :			List[str]							=   img * (1 - alpha) + rgb * alpha

        return visualized_image.astype('''uint8'''       )



       def 					UpperCAmelCase					(      self						,    a__						,    a__       ):






        '''simple docstring'''






        assert brightness_factor >= -1.0 and brightness_factor <= 1.0
        snake_case :			Dict							=   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 :			Tuple							=   0.0 if modified_lightness < 0.0 else modified_lightness
        snake_case :			int							=   1.0 if modified_lightness > 1.0 else modified_lightness
        snake_case :			Optional[int]							=   colorsys.hls_to_rgb(polygon_color[0]						,    a__						,    polygon_color[2]       )
        return modified_color







a					:				Dict       =      (
    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__  =			{
    "configuration_align": [
        "ALIGN_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "AlignConfig",
        "AlignTextConfig",
        "AlignVisionConfig",
    ],
    "processing_align": ["AlignProcessor"],
}

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCAmelCase__  =			[
							    "ALIGN_PRETRAINED_MODEL_ARCHIVE_LIST",
							    "AlignModel",
							    "AlignPreTrainedModel",
							    "AlignTextModel",
							    "AlignVisionModel",
							]

if TYPE_CHECKING:
							from .configuration_align import (
							    ALIGN_PRETRAINED_CONFIG_ARCHIVE_MAP,
							    AlignConfig,
							    AlignTextConfig,
							    AlignVisionConfig,
							)
							from .processing_align import AlignProcessor

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_align import (
														    ALIGN_PRETRAINED_MODEL_ARCHIVE_LIST,
														    AlignModel,
														    AlignPreTrainedModel,
														    AlignTextModel,
														    AlignVisionModel,
														)

else:
							import sys

							UpperCAmelCase__  =			_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)
