


'''simple docstring'''

import glob
import os
import random
from string import ascii_lowercase, digits

import cva
import numpy as np

# Parrameters
lowerCamelCase				:  Optional[int]    		=      (720, 1_280)  # Height, Width
lowerCamelCase				:  str    		=      (0.4, 0.6)  # if height or width lower than this scale, drop it.
lowerCamelCase				:  int    		=      1 / 100
lowerCamelCase				:  List[str]    		=      ''
lowerCamelCase				:  int    		=      ''
lowerCamelCase				:  Optional[int]    		=      ''
lowerCamelCase				:  Optional[Any]    		=      250

def _SCREAMING_SNAKE_CASE ()			->			None:






       """simple docstring"""







       lowercase__     ,lowercase__      =					get_dataset(A    ,					A			)
       for index in range(A			):
              lowercase__      =					random.sample(range(len(A			)			)    ,					4			)
              lowercase__     ,lowercase__     ,lowercase__      =					update_image_and_anno(
                  A    ,					A    ,					A    ,					A    ,					A    ,					filter_scale=A    ,					)

              # Get random string code: '7b7ad245cdff75241935e4dd860f3bad'
              lowercase__      =					random_chars(32			)
              lowercase__      =					path.split(os.sep			)[-1].rsplit('''.'''    ,					1			)[0]
              lowercase__      =					f"{OUTPUT_DIR}/{file_name}_MOSAIC_{letter_code}"
              cva.imwrite(f"{file_root}.jpg"    ,					A    ,					[cva.IMWRITE_JPEG_QUALITY, 85]			)
              print(f"Succeeded {index+1}/{NUMBER_IMAGES} with {file_name}"			)
              lowercase__      =					[]
              for anno in new_annos:
                     lowercase__      =					anno[3] - anno[1]
                     lowercase__      =					anno[4] - anno[2]
                     lowercase__      =					anno[1] + width / 2
                     lowercase__      =					anno[2] + height / 2
                     lowercase__      =					f"{anno[0]} {x_center} {y_center} {width} {height}"
                     annos_list.append(A			)
              with open(f"{file_root}.txt"    ,					'''w'''			) as outfile:
                     outfile.write('''\n'''.join(line for line in annos_list			)			)

def _SCREAMING_SNAKE_CASE (A    ,					A			)			->			tuple[list, list]:






       """simple docstring"""







       lowercase__      =					[]
       lowercase__      =					[]
       for label_file in glob.glob(os.path.join(A    ,					'''*.txt'''			)			):
              lowercase__      =					label_file.split(os.sep			)[-1].rsplit('''.'''    ,					1			)[0]
              with open(A			) as in_file:
                     lowercase__      =					in_file.readlines()
              lowercase__      =					os.path.join(A    ,					f"{label_name}.jpg"			)

              lowercase__      =					[]
              for obj_list in obj_lists:
                     lowercase__      =					obj_list.rstrip('''\n'''			).split(''' '''			)
                     lowercase__      =					float(obj[1]			) - float(obj[3]			) / 2
                     lowercase__      =					float(obj[2]			) - float(obj[4]			) / 2
                     lowercase__      =					float(obj[1]			) + float(obj[3]			) / 2
                     lowercase__      =					float(obj[2]			) + float(obj[4]			) / 2

                     boxes.append([int(obj[0]			), xmin, ymin, xmax, ymax]			)
              if not boxes:
                     continue
              img_paths.append(A			)
              labels.append(A			)
       return img_paths, labels

def _SCREAMING_SNAKE_CASE (A    ,					A    ,					A    ,					A    ,					A    ,					A = 0.0    ,					)			->			tuple[list, list, str]:






       """simple docstring"""







       lowercase__      =					np.zeros([output_size[0], output_size[1], 3]    ,					dtype=np.uinta			)
       lowercase__      =					scale_range[0] + random.random() * (scale_range[1] - scale_range[0])
       lowercase__      =					scale_range[0] + random.random() * (scale_range[1] - scale_range[0])
       lowercase__      =					int(scale_x * output_size[1]			)
       lowercase__      =					int(scale_y * output_size[0]			)

       lowercase__      =					[]
       lowercase__      =					[]
       for i, index in enumerate(A			):
              lowercase__      =					all_img_list[index]
              path_list.append(A			)
              lowercase__      =					all_annos[index]
              lowercase__      =					cva.imread(A			)
              if i == 0:  # top-left
                     lowercase__      =					cva.resize(A    ,					(divid_point_x, divid_point_y)			)
                     lowercase__      =					img
                     for bbox in img_annos:
                            lowercase__      =					bbox[1] * scale_x
                            lowercase__      =					bbox[2] * scale_y
                            lowercase__      =					bbox[3] * scale_x
                            lowercase__      =					bbox[4] * scale_y
                            new_anno.append([bbox[0], xmin, ymin, xmax, ymax]			)
              elif i == 1:  # top-right
                     lowercase__      =					cva.resize(A    ,					(output_size[1] - divid_point_x, divid_point_y)			)
                     lowercase__      =					img
                     for bbox in img_annos:
                            lowercase__      =					scale_x + bbox[1] * (1 - scale_x)
                            lowercase__      =					bbox[2] * scale_y
                            lowercase__      =					scale_x + bbox[3] * (1 - scale_x)
                            lowercase__      =					bbox[4] * scale_y
                            new_anno.append([bbox[0], xmin, ymin, xmax, ymax]			)
              elif i == 2:  # bottom-left
                     lowercase__      =					cva.resize(A    ,					(divid_point_x, output_size[0] - divid_point_y)			)
                     lowercase__      =					img
                     for bbox in img_annos:
                            lowercase__      =					bbox[1] * scale_x
                            lowercase__      =					scale_y + bbox[2] * (1 - scale_y)
                            lowercase__      =					bbox[3] * scale_x
                            lowercase__      =					scale_y + bbox[4] * (1 - scale_y)
                            new_anno.append([bbox[0], xmin, ymin, xmax, ymax]			)
              else:  # bottom-right
                     lowercase__      =					cva.resize(
                         A    ,					(output_size[1] - divid_point_x, output_size[0] - divid_point_y)			)
                     lowercase__      =					img
                     for bbox in img_annos:
                            lowercase__      =					scale_x + bbox[1] * (1 - scale_x)
                            lowercase__      =					scale_y + bbox[2] * (1 - scale_y)
                            lowercase__      =					scale_x + bbox[3] * (1 - scale_x)
                            lowercase__      =					scale_y + bbox[4] * (1 - scale_y)
                            new_anno.append([bbox[0], xmin, ymin, xmax, ymax]			)

    # Remove bounding box small than scale of filter
       if filter_scale > 0:
              lowercase__      =					[
                  anno
                  for anno in new_anno
                  if filter_scale < (anno[3] - anno[1]) and filter_scale < (anno[4] - anno[2])
              ]

       return output_img, new_anno, path_list[0]

def _SCREAMING_SNAKE_CASE (A			)			->			str:






       """simple docstring"""







       assert number_char > 1, "The number of character should greater than 1"
       lowercase__      =					ascii_lowercase + digits
       return "".join(random.choice(A			) for _ in range(A			)			)


if __name__ == "__main__":
 main()
 print('DONE ✅')








'''simple docstring'''

from __future__ import annotations

from collections import namedtuple
from dataclasses import dataclass
@dataclass
class     __lowerCAmelCase		:





      '''simple docstring'''






      lowerCAmelCase__   :	int
      lowerCAmelCase__   :	TreeNode | None       =				None
      lowerCAmelCase__   :	TreeNode | None       =				None






lowerCamelCase				:  Optional[Any]    		=      namedtuple('CoinsDistribResult', 'moves excess')

def _SCREAMING_SNAKE_CASE (A			)			->			int:






       """simple docstring"""







       if root is None:
              return 0

       # Validation
       def count_nodes(A			) -> int:
              if node is None:
                     return 0

              return count_nodes(node.left			) + count_nodes(node.right			) + 1

       def count_coins(A			) -> int:
              if node is None:
                     return 0

              return count_coins(node.left			) + count_coins(node.right			) + node.data

       if count_nodes(A			) != count_coins(A			):
              raise ValueError('''The nodes number should be same as the number of coins'''			)

       # Main calculation
       def get_distrib(A			) -> CoinsDistribResult:

              if node is None:
                     return CoinsDistribResult(0    ,					1			)

              lowercase__     ,lowercase__      =					get_distrib(node.left			)
              lowercase__     ,lowercase__      =					get_distrib(node.right			)

              lowercase__      =					1 - left_distrib_excess
              lowercase__      =					1 - right_distrib_excess

              lowercase__      =					(
                  left_distrib_moves
                  + right_distrib_moves
                  + abs(A			)
                  + abs(A			)
              )
              lowercase__      =					node.data - coins_to_left - coins_to_right

              return CoinsDistribResult(A    ,					A			)

       return get_distrib(A			)[0]


if __name__ == "__main__":
 import doctest

 doctest.testmod()




