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SAQ

The official implementation of ICME 2024 paper "No-Reference Segmentation Annotation Quality Assessment".

The paper is selected for Oral Representation and Best Paper Candidate.

Requirement

  • Numpy
  • Opencv

Useage

Assessment for one pair:

python main.py  --img ./img_folder/a.jpg  --gt ./gt_folder/a.png

Assessment for folders :

the image suffix can be jpg, png, bmp; the gt suffix mush be png.

python main.py  --img ./img_folder  --gt ./gt_folder

Choose backend :

we support pure python, pytorch, and jittor, the default is python-cpu

--backend [python-cpu, pytorch-cpu, pytorch-gpu, jittor-cpu, jittor-gpu]

Large-Scale Assessment for various datasets (updating)

See this pdf file

Contact

If you have any questions, feel free to contact me via: frazer.linzheng(at)gmail.com.
Welcome to visit the project page or my home page.

License

The source code is free for research and education use only. Any commercial use should get formal permission first.

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