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

import cva
lowerCamelCase__     :		str        = """"""
lowerCamelCase__     :		Tuple        = """"""
lowerCamelCase__     :		int        = """"""
lowerCamelCase__     :		Optional[Any]        = 1  # (0 is vertical, 1 is horizontal)

def 		UpperCamelCase						(   )		->						None:


  '''simple docstring'''






  lowercase__		,     lowercase__	: Union[str, Any]     		=   get_dataset(lowercase_			,			lowercase_ )
  print("""Processing...""" )
  lowercase__		,     lowercase__		,     lowercase__	: str     		=   update_image_and_anno(lowercase_			,			lowercase_			,			lowercase_ )

  for index, image in enumerate(lowercase_ ):
    # Get random string code: '7b7ad245cdff75241935e4dd860f3bad'
    lowercase__	: Any     		=   random_chars(32 )
    lowercase__	: Tuple     		=   paths[index].split(os.sep )[-1].rsplit("""."""			,			1 )[0]
    lowercase__	: List[str]     		=   F'{OUTPUT_DIR}/{file_name}_FLIP_{letter_code}'
    cva.imwrite(F'/{file_root}.jpg'			,			lowercase_			,			[cva.IMWRITE_JPEG_QUALITY, 85] )
    print(F'Success {index+1}/{len(lowercase_ )} with {file_name}' )
    lowercase__	: Dict     		=   []
    for anno in new_annos[index]:
      lowercase__	: List[str]     		=   F'{anno[0]} {anno[1]} {anno[2]} {anno[3]} {anno[4]}'
      annos_list.append(lowercase_ )
    with open(F'/{file_root}.txt'			,			"""w""" ) as outfile:
      outfile.write("""\n""".join(line for line in annos_list ) )

def 		UpperCamelCase						(   lowercase_			,			lowercase_ )		->						tuple[list, list]:


  '''simple docstring'''






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

    lowercase__	: Tuple     		=   []
    for obj_list in obj_lists:
      lowercase__	: Tuple     		=   obj_list.rstrip("""\n""" ).split(""" """ )
      boxes.append(
          [
              int(obj[0] ),
              float(obj[1] ),
              float(obj[2] ),
              float(obj[3] ),
              float(obj[4] ),
          ] )
    if not boxes:
      continue
    img_paths.append(lowercase_ )
    labels.append(lowercase_ )
  return img_paths, labels

def 		UpperCamelCase						(   lowercase_			,			lowercase_			,			lowercase_ = 1 )		->						tuple[list, list, list]:


  '''simple docstring'''






  lowercase__	: Optional[int]     		=   []
  lowercase__	: Dict     		=   []
  lowercase__	: Optional[int]     		=   []
  for idx in range(len(lowercase_ ) ):
    lowercase__	: Tuple     		=   []
    lowercase__	: Optional[Any]     		=   img_list[idx]
    path_list.append(lowercase_ )
    lowercase__	: List[Any]     		=   anno_list[idx]
    lowercase__	: Union[str, Any]     		=   cva.imread(lowercase_ )
    if flip_type == 1:
      lowercase__	: int     		=   cva.flip(lowercase_			,			lowercase_ )
      for bbox in img_annos:
        lowercase__	: Any     		=   1 - bbox[1]
        new_annos.append([bbox[0], x_center_new, bbox[2], bbox[3], bbox[4]] )
    elif flip_type == 0:
      lowercase__	: Any     		=   cva.flip(lowercase_			,			lowercase_ )
      for bbox in img_annos:
        lowercase__	: List[str]     		=   1 - bbox[2]
        new_annos.append([bbox[0], bbox[1], y_center_new, bbox[3], bbox[4]] )
    new_annos_lists.append(lowercase_ )
    new_imgs_list.append(lowercase_ )
  return new_imgs_list, new_annos_lists, path_list

def 		UpperCamelCase						(   lowercase_ = 32 )		->						str:


  '''simple docstring'''






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


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










'''simple docstring'''
from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


UpperCAmelCase_			:  Any										=   {
    'configuration_maskformer': ['MASKFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP', 'MaskFormerConfig'],
    'configuration_maskformer_swin': ['MaskFormerSwinConfig'],
}

try:
 if not is_vision_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 UpperCAmelCase_			:  Tuple										=   ['MaskFormerFeatureExtractor']
 UpperCAmelCase_			:  List[str]										=   ['MaskFormerImageProcessor']


try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 UpperCAmelCase_			:  Optional[Any]										=   [
     'MASKFORMER_PRETRAINED_MODEL_ARCHIVE_LIST',
     'MaskFormerForInstanceSegmentation',
     'MaskFormerModel',
     'MaskFormerPreTrainedModel',
 ]
 UpperCAmelCase_			:  Optional[int]										=   [
     'MaskFormerSwinBackbone',
     'MaskFormerSwinModel',
     'MaskFormerSwinPreTrainedModel',
 ]

if TYPE_CHECKING:
 from .configuration_maskformer import MASKFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, MaskFormerConfig
 from .configuration_maskformer_swin import MaskFormerSwinConfig

 try:
  if not is_vision_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .feature_extraction_maskformer import MaskFormerFeatureExtractor
  from .image_processing_maskformer import MaskFormerImageProcessor
 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_maskformer import (
      MASKFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
      MaskFormerForInstanceSegmentation,
      MaskFormerModel,
      MaskFormerPreTrainedModel,
  )
  from .modeling_maskformer_swin import (
      MaskFormerSwinBackbone,
      MaskFormerSwinModel,
      MaskFormerSwinPreTrainedModel,
  )


else:
 import sys

 UpperCAmelCase_			:  Union[str, Any]										=   _LazyModule(__name__, globals()['__file__'], _import_structure)






