computer_vision.pooling_functions¶

Attributes¶

`avgpooling`(→ numpy.ndarray)	This function is used to perform avgpooling on the input array of 2D matrix(image)
`maxpooling`(→ numpy.ndarray)	This function is used to perform maxpooling on the input array of 2D matrix(image)

computer_vision.pooling_functions.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

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.]])

computer_vision.pooling_functions.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

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.]])