Rotate Image by specific degree in Python

In this tutorial, we will explore the rotation process of an image using Python. Image rotation involves the rotation of the picture by a specified angle around its center. The rotation of an image is considered a geometric transformation. To achieve this, one can opt for either a forward or inverse transformation.

How do you rotate an image using Python?

In certain instances, we encounter scenarios where we rotate an image at a particular angle and this article will explore different methods to rotate an image by a specific angle in Python because it involves utilizing the Python Image library and the open-CV library

The Python Imaging Library (PIL) is a module that includes built-in functions for manipulating and processing images as input. Within PIL, there is a built-in function called image.rotate(angle) that allows the rotation of an image by a specified angle in Python.

The basic syntax for PIL is an image.rotate(angle)

Let’s rotate this image using the Python code.

Python code will be:

# import the Library
from PIL import Image
actual_image = Image.open(" ")
# Rotate the Image By 180 Degree
rotate_image = actual_image.rotate(360)
rotate_image.show()

output:  

Python OpenCV is a powerful module and it is mainly designed for real-time computer and vision applications. It offers a wide range of built-in functions specifically tailored for image processing tasks. Additionally, OpenCV seamlessly integrates with the imutils library, which further enhances its capabilities for image manipulation and processing. In Python, the imutils.rotate() function proves to be invaluable when it comes to rotating images by a specified angle. This function provides a convenient and efficient way to achieve image rotation with ease.

The basic syntax for Python OpenCV is imutils.rotate(image, angle=angle) 

 

Python code will be:

import cv2 # importing cv
import imutils
actual_image = cv2.imread(" ")
Rotated_image = imutils.rotate(actual_image, angle=180)
cv2.imshow("Rotated Image", Rotated_image)
# The Image Until Any Key is Pressed
cv2.waitKey(0)

Conclusion