


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

import cva
a_							=    ''''''
a_							=    ''''''
a_							=    ''''''
a_							=    1  # (0 is vertical, 1 is horizontal)


def        _a  (     ) ->   None:
						"""simple docstring"""







						lowerCAmelCase__      ,							lowerCAmelCase__       =						get_dataset(UpperCamelCase_    ,   UpperCamelCase_   )
						print("Processing..."   )
						lowerCAmelCase__      ,							lowerCAmelCase__      ,							lowerCAmelCase__       =						update_image_and_anno(UpperCamelCase_    ,   UpperCamelCase_    ,   UpperCamelCase_   )

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


def        _a  (     UpperCamelCase_					:				str    ,   UpperCamelCase_					:				str   ) ->   tuple[list, list]:
						"""simple docstring"""







						lowerCAmelCase__       =						[]
						lowerCAmelCase__       =						[]
						for label_file in glob.glob(os.path.join(UpperCamelCase_    ,   "*.txt"   )   ):
												lowerCAmelCase__       =						label_file.split(os.sep   )[-1].rsplit("."    ,   1   )[0]
												with open(UpperCamelCase_   ) as in_file:
																		lowerCAmelCase__       =						in_file.readlines()
												lowerCAmelCase__       =						os.path.join(UpperCamelCase_    ,   F"{label_name}.jpg"   )

												lowerCAmelCase__       =						[]
												for obj_list in obj_lists:
																		lowerCAmelCase__       =						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(UpperCamelCase_   )
												labels.append(UpperCamelCase_   )
						return img_paths, labels


def        _a  (     UpperCamelCase_					:				list    ,   UpperCamelCase_					:				list    ,   UpperCamelCase_					:				int = 1   ) ->   tuple[list, list, list]:
						"""simple docstring"""







						lowerCAmelCase__       =						[]
						lowerCAmelCase__       =						[]
						lowerCAmelCase__       =						[]
						for idx in range(len(UpperCamelCase_   )   ):
												lowerCAmelCase__       =						[]
												lowerCAmelCase__       =						img_list[idx]
												path_list.append(UpperCamelCase_   )
												lowerCAmelCase__       =						anno_list[idx]
												lowerCAmelCase__       =						cva.imread(UpperCamelCase_   )
												if flip_type == 1:
																		lowerCAmelCase__       =						cva.flip(UpperCamelCase_    ,   UpperCamelCase_   )
																		for bbox in img_annos:
																								lowerCAmelCase__       =						1 - bbox[1]
																								new_annos.append([bbox[0], x_center_new, bbox[2], bbox[3], bbox[4]]   )
												elif flip_type == 0:
																		lowerCAmelCase__       =						cva.flip(UpperCamelCase_    ,   UpperCamelCase_   )
																		for bbox in img_annos:
																								lowerCAmelCase__       =						1 - bbox[2]
																								new_annos.append([bbox[0], bbox[1], y_center_new, bbox[3], bbox[4]]   )
												new_annos_lists.append(UpperCamelCase_   )
												new_imgs_list.append(UpperCamelCase_   )
						return new_imgs_list, new_annos_lists, path_list


def        _a  (     UpperCamelCase_					:				int = 32   ) ->   str:
						"""simple docstring"""







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


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














# limitations under the License.

# NOTE: This file is deprecated and will be removed in a future version.
# It only exists so that temporarely `from diffusers.pipelines import DiffusionPipeline` works

from .pipelines import DiffusionPipeline, ImagePipelineOutput  # noqa: F401
from .utils import deprecate


deprecate(
    '''pipelines_utils''',
    '''0.22.0''',
    '''Importing `DiffusionPipeline` or `ImagePipelineOutput` from diffusers.pipeline_utils is deprecated. Please import from diffusers.pipelines.pipeline_utils instead.''',
    standard_warn=False,
    stacklevel=3,
)






