computer_vision.pooling_functions
=================================

.. py:module:: computer_vision.pooling_functions


Attributes
----------

.. autoapisummary::

   computer_vision.pooling_functions.image


Functions
---------

.. autoapisummary::

   computer_vision.pooling_functions.avgpooling
   computer_vision.pooling_functions.maxpooling


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

.. py:function:: avgpooling(arr: numpy.ndarray, size: int, stride: int) -> numpy.ndarray

   This function is used to perform avgpooling on the input array of 2D matrix(image)
   Args:
       arr: numpy array
       size: size of pooling matrix
       stride: the number of pixels shifts over the input matrix
   Returns:
       numpy array of avgpooled matrix
   Sample Input Output:
   >>> avgpooling([[1,2,3,4],[5,6,7,8],[9,10,11,12],[13,14,15,16]], 2, 2)
   array([[ 3.,  5.],
          [11., 13.]])
   >>> avgpooling([[147, 180, 122],[241, 76, 32],[126, 13, 157]], 2, 1)
   array([[161., 102.],
          [114.,  69.]])


.. py:function:: maxpooling(arr: numpy.ndarray, size: int, stride: int) -> numpy.ndarray

   This function is used to perform maxpooling on the input array of 2D matrix(image)
   Args:
       arr: numpy array
       size: size of pooling matrix
       stride: the number of pixels shifts over the input matrix
   Returns:
       numpy array of maxpooled matrix
   Sample Input Output:
   >>> maxpooling([[1,2,3,4],[5,6,7,8],[9,10,11,12],[13,14,15,16]], 2, 2)
   array([[ 6.,  8.],
          [14., 16.]])
   >>> maxpooling([[147, 180, 122],[241, 76, 32],[126, 13, 157]], 2, 1)
   array([[241., 180.],
          [241., 157.]])


.. py:data:: image