Image rotation using OpenCV

by vigneshchennai74 Updated: Jan 2, 2023

OpenCV is a computer vision library written in C++ and widely used for image and video processing. It offers a range of features for working with photographs and movies, including the ability to load and save images, use filters, find edges, and find and track objects. In collaboration, applications involving image and video processing are frequently created using Python and OpenCV. This combination enables you to develop solid and adaptable programs that can address various computer vision issues.

In our work as developers, we frequently must read and rotate the photos in our applications to complete various image processing activities, such as recognition, upload, augmentation, training, and many more. There are numerous libraries for Python that enable working with images. Python has features for manipulating, enhancing, and creating more images. In addition to using additional OpenCV functions to apply other transformations to the image, such as scaling, cropping, and applying filters, you can modify the angle of rotation and the image's size to get the desired effect.

Here is an example of how you can use the imread function of OpenCV for image rotation:

Preview of the output that you will get on running this code from your IDE

CODE

In this solution we use the Imread function of the OpenCV.

Python - Rotate Image

PythonLines of Code : 35License : CC BY-SA 4.0

img = cv2.imread('texas_longhorns_log.png')

h,w,c = img.shape

empty_img = np.zeros([h,w,c], dtype=np.uint8)

for i in range(h):
    for j in range(w):
        empty_img[i,j] = img[j-1,i-1]
        empty_img = empty_img[0:h,0:w]

cv2.imwrite("tester1.png", empty_img)

h,w,c = img.shape

empty_img = np.zeros([h,w,c], dtype=np.uint8)

for i in range(h):
    for j in range(w):
        empty_img[i,j] = img[h-j-1,w-i-1]
        empty_img = empty_img[0:h,0:w]

cv2.imwrite("tester2.png", empty_img)

h,w,c = img.shape

empty_img = np.zeros([h,w,c], dtype=np.uint8)

for i in range(h):
    for j in range(w):
        empty_img[i,j] = img[h-i-1,w-j-1]
        empty_img = empty_img[0:h,0:w]

cv2.imwrite("tester3.png", empty_img)

Copy the code using the "Copy" button above, and paste it in a Python file in your IDE.
Import open Cv and Numpy library
Modify the name, location of the image to be rotate in the code.
Run the file to rotate the image.

I hope you found this useful. I have added the link to dependent libraries, version information in the following sections.

i found this code snippet by searching for "Image rotation using OpenCV" in kandi. You can try any such use case!

Dependent Libraries

opencvby opencv

C++ 66111 Version:4.7.0

License: Permissive (Apache-2.0)

Open Source Computer Vision Library

Support

Quality

Security

License

Reuse

opencvby opencv

C++ 66111 Version:4.7.0 License: Permissive (Apache-2.0)

Open Source Computer Vision Library

Support

Quality

Security

License

Reuse

If you do not have OpenCV that is required to run this code, you can install it by clicking on the above link and copying the pip Install command from the OpenCV page in kandi.

You can search for any dependent library on kandi like OpenCV

Envorinment Test

I tested this solution in the following versions. Be mindful of changes when working with other versions

The solution is created and executed in python version 3.7.15 .
The solution is tested on OpenCV 4.6.0

Using this solution, we are able to rotate an image using the OpenCv library in Python with simple steps. This process also facilities an easy to use, hassle free method to create a hands-on working version of code which would help us rotate an image in Python