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1. Using OpenCV to Display Images in Python. OpenCV is a renowned, beginner-friendly open-source package pivotal for image processing in Python tutorials. 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. cv2

from PIL import Image Open an image file img Image.open'example.jpg' Display the image img.show This opens the image in your default viewer. For more PIL features, see our Python PIL Image Handling Guide. Displaying Images with Matplotlib. Matplotlib is perfect when working with data visualization. Install it with pip install matplotlib.

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3. IPython library to Display images in python If you are using Jupyter notebook for python programming, this library helps to display the image below your code in the notebook. Import display from IPython library that will display image. Show an image that the path is specified in the display command.

Python offers several libraries designed to make image processing tasks intuitive and efficient. Here are a few common applications for working with images in Python Image Display and Manipulation Basic tasks like resizing, rotating, or cropping images. Data Analysis Extracting color patterns, shapes, or other features for analysis.

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Example of flipping the image in Python from scipy import ndimage flip_picnp.flipudpic plt.imshowflip_pic,cmap'gray' Output The PythonGeeks Team offers industry-relevant Python programming tutorials, from web development to AI, ML and Data Science. With a focus on simplicity, we help learners of all backgrounds build their coding

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