How to Perform Image Transpose Using OpenCV Python?
If you’re working with image processing using Python, you may come across a requirement for image transposition at some point. Transposing an image means flipping it over its diagonal, which can switch its width and height.
In this article, we’ll show you how to perform image transpose using OpenCV Python.
Installing OpenCV Python Package
To get started, we need to have the OpenCV Python package installed in our system.
To install the package, we can use pip, which is the most popular Python package manager. Open your command prompt or terminal and type the following command:
pip install opencv-python
The package will start downloading and installing. Once it’s installed, we’re ready to go.
Loading an Image Using OpenCV
The next step is to load an image. We’ll be using one of the sample images provided by OpenCV for this example.
import cv2
image = cv2.imread('opencv-logo.png')
# Display the original image
cv2.imshow('Original Image', image)
cv2.waitKey(0)
In this code, we first imported the OpenCV package, then loaded an image by using the imread()
function. We passed the image file name as an argument to the function.
To display the loaded image, we used the imshow()
function, which takes two arguments: the window name and the image object. We also used the waitKey()
function to wait for a keystroke before closing the window.
Performing Image Transpose
Now that we’ve loaded the image, let’s perform a transpose operation on it.
import cv2
image = cv2.imread('opencv-logo.png')
# Transpose the image
transposed_image = cv2.transpose(image)
# Display the transposed image
cv2.imshow('Transposed Image', transposed_image)
cv2.waitKey(0)
Here, we used the transpose()
function provided by OpenCV to transpose the image.
Finally, we used the imshow()
function to display the transposed image.
Saving the Transposed Image
If you want to save the transposed image back to the file system, you can do so using the imwrite()
function.
import cv2
image = cv2.imread('opencv-logo.png')
# Transpose the image
transposed_image = cv2.transpose(image)
# Save the transposed image
cv2.imwrite('transposed_image.png', transposed_image)
The first argument to the imwrite()
function is the file name with which you want to save the image and the second argument is the image object.
Conclusion
In this article, we showed you how to perform image transpose using OpenCV Python. We loaded an image, performed the transpose operation, and displayed the transposed image. We also showed you how to save the transposed image back to the file system.
We hope this article was helpful to you. If you have any questions or comments, feel free to leave them below. Happy coding!