pyiqa.archs.liqe_arch
=====================

.. py:module:: pyiqa.archs.liqe_arch

.. autoapi-nested-parse::

   LIQE Model

   github repo link: https://github.com/zwx8981/LIQE

   Cite as:
   @inproceedings{zhang2023liqe,
     title={Blind Image Quality Assessment via Vision-Language Correspondence: A Multitask Learning Perspective},
     author={Zhang, Weixia and Zhai, Guangtao and Wei, Ying and Yang, Xiaokang and Ma, Kede},
     booktitle={IEEE/CVF Conference on Computer Vision and Pattern Recognition},
     pages={14071--14081},
     year={2023}
   }







Module Contents
---------------

.. py:data:: qualitys
   :value: ['bad', 'poor', 'fair', 'good', 'perfect']


.. py:data:: scenes
   :value: ['animal', 'cityscape', 'human', 'indoor', 'landscape', 'night', 'plant', 'still_life', 'others']


.. py:data:: dists_map
   :value: ['jpeg2000 compression', 'jpeg compression', 'noise', 'blur', 'color', 'contrast',...


.. py:data:: default_model_urls

.. py:class:: LIQE(model_type='liqe', backbone='ViT-B/32', step=32, num_patch=15, pretrained=True, pretrained_model_path=None, mtl=False)

   Bases: :py:obj:`torch.nn.Module`


   .. py:method:: get_text_features(x)


   .. py:method:: forward(x)