Call the cv2.imread() function and deliver the image path/image name as a first parameter. Create a variable as img that holds our image.Also, import the sys module for additional packages. Import the OpenCV package to access the functions.Output: Displaying the image through OpenCV Sys.exit() # to exit from all the processesĬv2.destroyAllWindows() # destroy all windows Img = cv2.imread('sheep.png', cv2.IMREAD_ANYCOLOR) With a small set of commands, we can take our Computer Vision journey to next level. OpenCV offers two main functions, cv2.imread and cv2.imshow, to read and display images in Python.
OpenCV is a renowned, beginner-friendly open-source package pivotal for image processing in Python tutorials. There may be many other modules and/or hacks to view images too, so don’t limit yourself to just these 5 modules! 1.
Let’s now delve into how to display an image in a Python GUI window with ease. The following is a list of libraries of Python that enable us to process the images and do the corresponding tasks. We will also explore how we can use them in crossbreeding with each other. The reason for this is the abundant library support in Python for image processing. In this tutorial, we shall explore the different ways to read and display images using Python.
