
"""simple docstring"""




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

import cva
import numpy as np

# Parrameters
UpperCAmelCase__   :					int												=				(7_2_0, 1_2_8_0)  # Height, Width
UpperCAmelCase__   :					Union[str, Any]												=				(0.4, 0.6)  # if height or width lower than this scale, drop it.
UpperCAmelCase__   :					List[str]												=				1 / 1_0_0
UpperCAmelCase__   :					List[Any]												=				''
UpperCAmelCase__   :					Union[str, Any]												=				''
UpperCAmelCase__   :					List[str]												=				''
UpperCAmelCase__   :					Optional[int]												=				2_5_0

def lowercase_						(     ):
       SCREAMING_SNAKE_CASE__		: List[str]     =     get_dataset(lowerCAmelCase_     ,lowerCAmelCase_		)
       for index in range(lowerCAmelCase_		):
              SCREAMING_SNAKE_CASE__		: Dict     =     random.sample(range(len(lowerCAmelCase_		)		)     ,4		)
              SCREAMING_SNAKE_CASE__		: List[Any]     =     update_image_and_anno(
                  lowerCAmelCase_     ,lowerCAmelCase_     ,lowerCAmelCase_     ,lowerCAmelCase_     ,lowerCAmelCase_     ,filter_scale=lowerCAmelCase_     ,)

              # Get random string code: '7b7ad245cdff75241935e4dd860f3bad'
              SCREAMING_SNAKE_CASE__		: Optional[Any]     =     random_chars(32		)
              SCREAMING_SNAKE_CASE__		: List[Any]     =     path.split(os.sep		)[-1].rsplit("""."""     ,1		)[0]
              SCREAMING_SNAKE_CASE__		: str     =     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}'''		)
              SCREAMING_SNAKE_CASE__		: Optional[int]     =     []
              for anno in new_annos:
                     SCREAMING_SNAKE_CASE__		: str     =     anno[3] - anno[1]
                     SCREAMING_SNAKE_CASE__		: Any     =     anno[4] - anno[2]
                     SCREAMING_SNAKE_CASE__		: Dict     =     anno[1] + width / 2
                     SCREAMING_SNAKE_CASE__		: Union[str, Any]     =     anno[2] + height / 2
                     SCREAMING_SNAKE_CASE__		: Union[str, Any]     =     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 lowercase_						(     _snake_case     ,_snake_case		):
       SCREAMING_SNAKE_CASE__		: Dict     =     []
       SCREAMING_SNAKE_CASE__		: str     =     []
       for label_file in glob.glob(os.path.join(lowerCAmelCase_     ,"""*.txt"""		)		):
              SCREAMING_SNAKE_CASE__		: Union[str, Any]     =     label_file.split(os.sep		)[-1].rsplit("""."""     ,1		)[0]
              with open(lowerCAmelCase_		) as in_file:
                     SCREAMING_SNAKE_CASE__		: int     =     in_file.readlines()
              SCREAMING_SNAKE_CASE__		: Union[str, Any]     =     os.path.join(lowerCAmelCase_     ,f'''{label_name}.jpg'''		)

              SCREAMING_SNAKE_CASE__		: Any     =     []
              for obj_list in obj_lists:
                     SCREAMING_SNAKE_CASE__		: Dict     =     obj_list.rstrip("""\n"""		).split(""" """		)
                     SCREAMING_SNAKE_CASE__		: Union[str, Any]     =     float(obj[1]		) - float(obj[3]		) / 2
                     SCREAMING_SNAKE_CASE__		: str     =     float(obj[2]		) - float(obj[4]		) / 2
                     SCREAMING_SNAKE_CASE__		: Any     =     float(obj[1]		) + float(obj[3]		) / 2
                     SCREAMING_SNAKE_CASE__		: Optional[Any]     =     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 lowercase_						(     _snake_case     ,_snake_case     ,_snake_case     ,_snake_case     ,_snake_case     ,_snake_case = 0.0     ,):
       SCREAMING_SNAKE_CASE__		: Optional[Any]     =     np.zeros([output_size[0], output_size[1], 3]     ,dtype=np.uinta		)
       SCREAMING_SNAKE_CASE__		: Tuple     =     scale_range[0] + random.random() * (scale_range[1] - scale_range[0])
       SCREAMING_SNAKE_CASE__		: Dict     =     scale_range[0] + random.random() * (scale_range[1] - scale_range[0])
       SCREAMING_SNAKE_CASE__		: List[str]     =     int(scale_x * output_size[1]		)
       SCREAMING_SNAKE_CASE__		: List[Any]     =     int(scale_y * output_size[0]		)

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


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






"""simple docstring"""




import baseaa

def lowercase_						(     _snake_case		):
							return baseaa.baaencode(string.encode("""utf-8"""		)		)

def lowercase_						(     _snake_case		):
							return baseaa.baadecode(_snake_case		).decode("""utf-8"""		)


if __name__ == "__main__":
					UpperCAmelCase__   :					Dict												=				'Hello World!'
					UpperCAmelCase__   :					Tuple												=				baseaa_encode(test)
					print(encoded)

					UpperCAmelCase__   :					Tuple												=				baseaa_decode(encoded)
					print(decoded)




