pyiqa.archs.entropy_arch
========================

.. py:module:: pyiqa.archs.entropy_arch

.. autoapi-nested-parse::

   Entropy Metric for grayscale images.
   Entropy is a statistical measure of randomness that can be used to characterize the texture of the input image.

   Created by: Chaofeng Chen (https://github.com/chaofengc)

   Refer to:
       Matlab: https://www.mathworks.com/help/images/ref/entropy.html







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

.. py:function:: entropy(x, data_range=255.0, eps=1e-08, color_space='yiq')

   Compute entropy of a gray scale image.
   :param x: An input tensor. Shape :math:`(N, C, H, W)`.

   :returns: Entropy of the image.


.. py:class:: Entropy(**kwargs)

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


   :param x: image tensor with shape (B, _, H, W), range [0, 1]
   :type x: torch.Tensor

   :returns: (B, 1)
   :rtype: score (torch.Tensor)


   .. py:method:: forward(x)