Metadata-Version: 2.1
Name: dg-face-parsing
Version: 0.0.4
Summary: Face parsing tools with BiSeNet
License: MIT
Author: DataGrid
Requires-Python: >=3.7,<3.11
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Requires-Dist: Pillow (>=8.4.0,<9.0.0)
Requires-Dist: numpy (>=1.21.4,<2.0.0)
Requires-Dist: opencv-python (>=4.5.4,<5.0.0)
Requires-Dist: requests (>=2.26.0,<3.0.0)
Requires-Dist: torch (>=1.10.0,<2.0.0)
Requires-Dist: torchaudio (>=0.10.0,<0.11.0)
Requires-Dist: torchvision (>=0.11.1,<0.12.0)
Requires-Dist: tqdm (>=4.62.3,<5.0.0)
Description-Content-Type: text/markdown


### Face Parsing
Genreate face parsing with BiSeNet。
pip install dg_face_parsing
1. parsing_face
2. parsing_faces

### Usage
1. dg_util.face_parsing.parsing_face(input_path, output_path)
*input_img- Image data()PIL.image.
*output_path- File path of output image(string, Blank as default).Opional, if output_path is blank, result image returned as cv2.image. Else, result image saved in output path and True returned.
*Return- Image data || Nones
2. dg_util.face_parsing.parsing_faces(input_folder, output_folder)
*Return- None
*input_folder- File path of input folder(string).
*output_folder- File path of output folder(string).
