How to use NumPy module to Convert images to NumPy array In NumPy

Numpy module in itself provides various methods to do the same. These methods are – 

Example 1:Using asarray() function

asarray() function is used to convert PIL images into NumPy arrays. This function converts the input to an array

Output :

<class 'numpy.ndarray'>
(200, 400, 3)

Example 2: Using numpy.array() function

By using numpy.array() function which takes an image as the argument and converts to NumPy array

Output :

(200, 400, 3)

In order to get the value of each pixel of the NumPy array image, we need to print the retrieved data that got either from asarray() function or array() function.

Output :

[[[111  60   0]
 [116  65   0]
 [122  69   0]
 ...
 [ 97  47   0]
 [ 99  47   0]
 [100  49   0]]
[[111  61   0]
 [118  65   0]
 [122  69   0]
 ...
 [ 97  47   0]
 [ 99  48   0]
 [100  49   0]]
[[118  65   0]
 [122  69   0]
 [126  73   3]
 ...
 [ 98  48   0]
 [100  49   0]
 [100  49   0]]
...
[[ 96  44   7]
 [ 95  43   6]
 [ 93  41   4]
 ...
 [225  80   3]
 [228  80   0]
 [229  78   0]]
[[ 93  40   6]
 [ 90  37   5]
 [ 85  32   0]
 ...
 [226  81   4]
 [231  80   1]
 [232  79   1]]
[[ 89  36   4]
 [ 84  31   0]
 [ 79  26   0]
 ...
 [228  81   4]
 [232  81   4]
 [233  80   2]]]

Images are an easier way to represent the working model. In Machine Learning, Python uses the image data in the format of Height, Width, Channel format. i.e. Images are converted into Numpy Array in Height, Width, Channel format.  In this article we will see How to Convert images to NumPy array?

Modules Needed:

• NumPy: By default in higher versions of Python like 3.x onwards, NumPy is available and if not  available(in lower versions), one can install by using

pip install numpy

• Pillow: This has to be explicitly installed in later versions too. It is a preferred image manipulation tool. In Python 3, Pillow python library which is nothing but the upgradation of PIL only. It can be installed using

pip install Pillow