
'''simple docstring'''


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

import cva
import numpy as np

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



def  __snake_case     (    ):
   UpperCamelCase     , UpperCamelCase       =  get_dataset(_UpperCAmelCase,      _UpperCAmelCase)
   for index in range(_UpperCAmelCase):
      UpperCamelCase       =  random.sample(range(len(_UpperCAmelCase)),      4)
      UpperCamelCase     , UpperCamelCase     , UpperCamelCase       =  update_image_and_anno(
          _UpperCAmelCase,      _UpperCAmelCase,      _UpperCAmelCase,      _UpperCAmelCase,      _UpperCAmelCase,      filter_scale=_UpperCAmelCase,      )

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



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

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

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



def  __snake_case     (    _UpperCAmelCase					:       list,      _UpperCAmelCase					:       list,      _UpperCAmelCase					:       list[int],      _UpperCAmelCase					:       tuple[int, int],      _UpperCAmelCase					:       tuple[float, float],      _UpperCAmelCase					:       float = 0.0,      ):
   UpperCamelCase       =  np.zeros([output_size[0], output_size[1], 3],      dtype=np.uinta)
   UpperCamelCase       =  scale_range[0] + random.random() * (scale_range[1] - scale_range[0])
   UpperCamelCase       =  scale_range[0] + random.random() * (scale_range[1] - scale_range[0])
   UpperCamelCase       =  int(scale_x * output_size[1])
   UpperCamelCase       =  int(scale_y * output_size[0])

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


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







'''simple docstring'''


def  __snake_case     (    _UpperCAmelCase					:       list[list[float]]):
   UpperCamelCase       =  []
   for data in source_data:
      for i, el in enumerate(_UpperCAmelCase):
         if len(_UpperCAmelCase) < i + 1:
            data_lists.append([])
         data_lists[i].append(float(_UpperCAmelCase))
   return data_lists



def  __snake_case     (    _UpperCAmelCase					:       list[list[float]],      _UpperCAmelCase					:       list[int]):
   UpperCamelCase       =  []
   for dlist, weight in zip(_UpperCAmelCase,      _UpperCAmelCase):
      UpperCamelCase       =  min(_UpperCAmelCase)
      UpperCamelCase       =  max(_UpperCAmelCase)

      UpperCamelCase       =  []
      # for weight 0 score is 1 - actual score
      if weight == 0:
         for item in dlist:
            try:
               score.append(1 - ((item - mind) / (maxd - mind)))
            except ZeroDivisionError:
               score.append(1)

      elif weight == 1:
         for item in dlist:
            try:
               score.append((item - mind) / (maxd - mind))
            except ZeroDivisionError:
               score.append(0)

        # weight not 0 or 1
      else:
         UpperCamelCase       =  f'Invalid weight of {weight:f} provided'
         raise ValueError(_UpperCAmelCase)

      score_lists.append(_UpperCAmelCase)

   return score_lists



def  __snake_case     (    _UpperCAmelCase					:       list[list[float]]):
   UpperCamelCase       =  [0 for i in range(len(score_lists[0]))]

   for slist in score_lists:
      for j, ele in enumerate(_UpperCAmelCase):
         UpperCamelCase       =  final_scores[j] + ele

   return final_scores



def  __snake_case     (    _UpperCAmelCase					:       list[list[float]],      _UpperCAmelCase					:       list[int]):
   UpperCamelCase       =  get_data(_UpperCAmelCase)
   UpperCamelCase       =  calculate_each_score(_UpperCAmelCase,      _UpperCAmelCase)
   UpperCamelCase       =  generate_final_scores(_UpperCAmelCase)

   # append scores to source data
   for i, ele in enumerate(_UpperCAmelCase):
      source_data[i].append(_UpperCAmelCase)

   return source_data





