





'''simple docstring'''


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

import cva
import numpy as np

# Parrameters
lowerCAmelCase :					Union[str, Any] 							=(720, 1_280)  # Height, Width
lowerCAmelCase :					List[Any] 							=(0.4, 0.6)  # if height or width lower than this scale, drop it.
lowerCAmelCase :					Dict 							=1 / 100
lowerCAmelCase :					int 							=''''''
lowerCAmelCase :					Tuple 							=''''''
lowerCAmelCase :					int 							=''''''
lowerCAmelCase :					List[str] 							=250
def 							UpperCAmelCase_  (						):
   lowercase_      :Union[str, Any]         =			get_dataset(__lowerCamelCase     ,__lowerCamelCase			)
   for index in range(__lowerCamelCase			):
      lowercase_      :Optional[Any]         =			random.sample(range(len(__lowerCamelCase			)			)     ,4			)
      lowercase_      :List[str]         =			update_image_and_anno(
          __lowerCamelCase     ,__lowerCamelCase     ,__lowerCamelCase     ,__lowerCamelCase     ,__lowerCamelCase     ,filter_scale=__lowerCamelCase     ,)

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

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

         boxes.append([int(obj[0]			), xmin, ymin, xmax, ymax]			)
      if not boxes:
         continue
      img_paths.append(__lowerCamelCase			)
      labels.append(__lowerCamelCase			)
   return img_paths, labels
def 							UpperCAmelCase_  (						__lowerCamelCase : list     ,__lowerCamelCase : list     ,__lowerCamelCase : list[int]     ,__lowerCamelCase : tuple[int, int]     ,__lowerCamelCase : tuple[float, float]     ,__lowerCamelCase : float = 0.0     ,):
   lowercase_      :Tuple         =			np.zeros([output_size[0], output_size[1], 3]     ,dtype=np.uinta			)
   lowercase_      :Optional[int]         =			scale_range[0] + random.random() * (scale_range[1] - scale_range[0])
   lowercase_      :List[Any]         =			scale_range[0] + random.random() * (scale_range[1] - scale_range[0])
   lowercase_      :List[str]         =			int(scale_x * output_size[1]			)
   lowercase_      :Any         =			int(scale_y * output_size[0]			)

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


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









'''simple docstring'''


def 							UpperCAmelCase_  (						__lowerCamelCase : dict			):
   lowercase_      :set[int]         =			set()
   # To detect a back edge, keep track of vertices currently in the recursion stack
   lowercase_      :set[int]         =			set()
   return any(
       node not in visited and depth_first_search(__lowerCamelCase     ,__lowerCamelCase     ,__lowerCamelCase     ,__lowerCamelCase			)
       for node in graph			)
def 							UpperCAmelCase_  (						__lowerCamelCase : dict     ,__lowerCamelCase : int     ,__lowerCamelCase : set     ,__lowerCamelCase : set			):
   visited.add(__lowerCamelCase			)
   rec_stk.add(__lowerCamelCase			)

   for node in graph[vertex]:
      if node not in visited:
         if depth_first_search(__lowerCamelCase     ,__lowerCamelCase     ,__lowerCamelCase     ,__lowerCamelCase			):
            return True
      elif node in rec_stk:
         return True

    # The node needs to be removed from recursion stack before function ends
   rec_stk.remove(__lowerCamelCase			)
   return False


if __name__ == "__main__":
 from doctest import testmod

 testmod()


