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

import cva
import numpy as np

# Parrameters
lowercase  : Optional[int]						   =							(720, 1280)  # Height, Width
lowercase  : Any						   =							(0.4, 0.6)  # if height or width lower than this scale, drop it.
lowercase  : str						   =							1 / 100
lowercase  : int						   =							""""""
lowercase  : Tuple						   =							""""""
lowercase  : List[str]						   =							""""""
lowercase  : Dict						   =							250







def 						_snake_case(  )			->   None:
       lowercase							:					Any	     =					get_dataset(SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__    )
       for index in range(SCREAMING_SNAKE_CASE__    ):
              lowercase							:					int	     =					random.sample(range(len(SCREAMING_SNAKE_CASE__    )    ) ,     4    )
              lowercase							:					Union[str, Any]	     =					update_image_and_anno(
                  SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__ ,     filter_scale=SCREAMING_SNAKE_CASE__ ,     )

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







def 						_snake_case(  SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__    )			->   tuple[list, list]:
       lowercase							:					List[Any]	     =					[]
       lowercase							:					Optional[Any]	     =					[]
       for label_file in glob.glob(os.path.join(SCREAMING_SNAKE_CASE__ ,     """*.txt"""    )    ):
              lowercase							:					Any	     =					label_file.split(os.sep    )[-1].rsplit(""".""" ,     1    )[0]
              with open(SCREAMING_SNAKE_CASE__    ) as in_file:
                     lowercase							:					str	     =					in_file.readlines()
              lowercase							:					Any	     =					os.path.join(SCREAMING_SNAKE_CASE__ ,     f"{label_name}.jpg"    )

              lowercase							:					Optional[int]	     =					[]
              for obj_list in obj_lists:
                     lowercase							:					List[str]	     =					obj_list.rstrip("""\n"""    ).split(""" """    )
                     lowercase							:					Tuple	     =					float(obj[1]    ) - float(obj[3]    ) / 2
                     lowercase							:					int	     =					float(obj[2]    ) - float(obj[4]    ) / 2
                     lowercase							:					Tuple	     =					float(obj[1]    ) + float(obj[3]    ) / 2
                     lowercase							:					int	     =					float(obj[2]    ) + float(obj[4]    ) / 2

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







def 						_snake_case(  SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__ = 0.0 ,     )			->   tuple[list, list, str]:
       lowercase							:					List[Any]	     =					np.zeros([output_size[0], output_size[1], 3] ,     dtype=np.uinta    )
       lowercase							:					List[Any]	     =					scale_range[0] + random.random() * (scale_range[1] - scale_range[0])
       lowercase							:					int	     =					scale_range[0] + random.random() * (scale_range[1] - scale_range[0])
       lowercase							:					str	     =					int(scale_x * output_size[1]    )
       lowercase							:					Tuple	     =					int(scale_y * output_size[0]    )

       lowercase							:					Any	     =					[]
       lowercase							:					Any	     =					[]
       for i, index in enumerate(SCREAMING_SNAKE_CASE__    ):
              lowercase							:					Union[str, Any]	     =					all_img_list[index]
              path_list.append(SCREAMING_SNAKE_CASE__    )
              lowercase							:					str	     =					all_annos[index]
              lowercase							:					List[str]	     =					cva.imread(SCREAMING_SNAKE_CASE__    )
              if i == 0:  # top-left
                     lowercase							:					List[str]	     =					cva.resize(SCREAMING_SNAKE_CASE__ ,     (divid_point_x, divid_point_y)    )
                     lowercase							:					Union[str, Any]	     =					img
                     for bbox in img_annos:
                            lowercase							:					Optional[Any]	     =					bbox[1] * scale_x
                            lowercase							:					Optional[Any]	     =					bbox[2] * scale_y
                            lowercase							:					List[str]	     =					bbox[3] * scale_x
                            lowercase							:					List[Any]	     =					bbox[4] * scale_y
                            new_anno.append([bbox[0], xmin, ymin, xmax, ymax]    )
              elif i == 1:  # top-right
                     lowercase							:					List[str]	     =					cva.resize(SCREAMING_SNAKE_CASE__ ,     (output_size[1] - divid_point_x, divid_point_y)    )
                     lowercase							:					List[Any]	     =					img
                     for bbox in img_annos:
                            lowercase							:					Optional[Any]	     =					scale_x + bbox[1] * (1 - scale_x)
                            lowercase							:					Tuple	     =					bbox[2] * scale_y
                            lowercase							:					Union[str, Any]	     =					scale_x + bbox[3] * (1 - scale_x)
                            lowercase							:					str	     =					bbox[4] * scale_y
                            new_anno.append([bbox[0], xmin, ymin, xmax, ymax]    )
              elif i == 2:  # bottom-left
                     lowercase							:					Any	     =					cva.resize(SCREAMING_SNAKE_CASE__ ,     (divid_point_x, output_size[0] - divid_point_y)    )
                     lowercase							:					int	     =					img
                     for bbox in img_annos:
                            lowercase							:					str	     =					bbox[1] * scale_x
                            lowercase							:					str	     =					scale_y + bbox[2] * (1 - scale_y)
                            lowercase							:					Optional[Any]	     =					bbox[3] * scale_x
                            lowercase							:					List[str]	     =					scale_y + bbox[4] * (1 - scale_y)
                            new_anno.append([bbox[0], xmin, ymin, xmax, ymax]    )
              else:  # bottom-right
                     lowercase							:					Dict	     =					cva.resize(
                         SCREAMING_SNAKE_CASE__ ,     (output_size[1] - divid_point_x, output_size[0] - divid_point_y)    )
                     lowercase							:					Union[str, Any]	     =					img
                     for bbox in img_annos:
                            lowercase							:					int	     =					scale_x + bbox[1] * (1 - scale_x)
                            lowercase							:					List[str]	     =					scale_y + bbox[2] * (1 - scale_y)
                            lowercase							:					Dict	     =					scale_x + bbox[3] * (1 - scale_x)
                            lowercase							:					Tuple	     =					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							:					Dict	     =					[
                  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 						_snake_case(  SCREAMING_SNAKE_CASE__    )			->   str:
       assert number_char > 1, "The number of character should greater than 1"
       lowercase							:					Optional[int]	     =					ascii_lowercase + digits
       return "".join(random.choice(SCREAMING_SNAKE_CASE__    ) for _ in range(SCREAMING_SNAKE_CASE__    )    )


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


def 						_snake_case(  SCREAMING_SNAKE_CASE__    )			->   int:
       assert (
           isinstance(SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__    ) and number_of_steps > 0
       ), f"number_of_steps needs to be positive integer, your input {number_of_steps}"
       if number_of_steps == 1:
              return 1
       lowercase     ,      lowercase							:					Tuple	     =				1, 1
       for _ in range(number_of_steps - 1    ):
              lowercase     ,      lowercase							:					str	     =				current + previous, current
       return current


if __name__ == "__main__":
  import doctest

  doctest.testmod()
