pyiqa.archs.laion_aes_arch
==========================

.. py:module:: pyiqa.archs.laion_aes_arch

.. autoapi-nested-parse::

   LAION-Aesthetics Predictor

   Introduced by: https://github.com/christophschuhmann/improved-aesthetic-predictor







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

.. py:data:: default_model_urls

.. py:class:: MLP(input_size, xcol='emb', ycol='avg_rating')

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


   .. py:method:: forward(x)


.. py:class:: LAIONAes(pretrained=True, pretrained_model_path=None)

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


   LAIONAes is a class that implements a neural network architecture for image quality assessment.

   The architecture is based on the ViT-L/14 model from the OpenAI CLIP library, and uses an MLP to predict image quality scores.

   :param None:

   :returns: A tensor representing the predicted image quality scores.


   .. py:method:: forward(x)