





"""simple docstring"""





from PIL import Image
def 					__A  (_SCREAMING_SNAKE_CASE     )   ->Image:





  """simple docstring"""


  lowerCAmelCase__				,							lowerCAmelCase__     :Dict											=				image.size
  lowerCAmelCase__     :Dict											=				0
  lowerCAmelCase__     :Tuple											=				image.load()
  for i in range(_SCREAMING_SNAKE_CASE     ):
    for j in range(_SCREAMING_SNAKE_CASE     ):
      lowerCAmelCase__     :Optional[int]											=				pixels[j, i]
      mean += pixel
  mean //= width * height

  for j in range(_SCREAMING_SNAKE_CASE     ):
    for i in range(_SCREAMING_SNAKE_CASE     ):
      lowerCAmelCase__     :Dict											=				255 if pixels[i, j] > mean else 0
  return image


if __name__ == "__main__":
  __A											=						mean_threshold(Image.open("""path_to_image""").convert("""L"""))
  image.save("""output_image_path""")







"""simple docstring"""





# Copyright 2023 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__A											=						{
    """configuration_mgp_str""": ["""MGP_STR_PRETRAINED_CONFIG_ARCHIVE_MAP""", """MgpstrConfig"""],
    """processing_mgp_str""": ["""MgpstrProcessor"""],
    """tokenization_mgp_str""": ["""MgpstrTokenizer"""],
}

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  __A											=						[
      """MGP_STR_PRETRAINED_MODEL_ARCHIVE_LIST""",
      """MgpstrModel""",
      """MgpstrPreTrainedModel""",
      """MgpstrForSceneTextRecognition""",
  ]

if TYPE_CHECKING:
  from .configuration_mgp_str import MGP_STR_PRETRAINED_CONFIG_ARCHIVE_MAP, MgpstrConfig
  from .processing_mgp_str import MgpstrProcessor
  from .tokenization_mgp_str import MgpstrTokenizer

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_mgp_str import (
        MGP_STR_PRETRAINED_MODEL_ARCHIVE_LIST,
        MgpstrForSceneTextRecognition,
        MgpstrModel,
        MgpstrPreTrainedModel,
    )
else:
  import sys

  __A											=						_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)
