Resources

Added one more resource - OpenCV

projects-appendix/modules/spring2025/pages/30200/project1.adoc

@@ -37,7 +37,7 @@ plt.show()
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 The `plt.axis('off')` function is used to remove the axis from the image plot. This is not required but displaying axis values does not add any value to the image plot.
 
-Reminder: Don't forget to check out Matplotlib's comprehensive manual: https://matplotlib.org[Matplotlib Documentation]. It's an excellent resource!
+Reminder: Don't forget to check out Matplotlib's comprehensive manual: https://matplotlib.org[Matplotlib Documentation]. It's an excellent resource for visualization.
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 The loaded image should be displayed in the output cell, it is an image of Haagen Dazs White Chocolate Raspberry icecream.
@@ -79,7 +79,7 @@ print(f"Image dimensions: {height}x{width}x{channels}")
 
 === Question 2 (2 points)
 
-We have our image loaded into a numpy array, but what can we actually do with it? There are many complex operations that can be performed on images, but it would be very challenging to learn and implement them all at once. That's where OpenCV comes in. OpenCV is short for Open Computer Vision Library, and is a powerful open-source library that provides many functions for image processing, computer vision, and machine learning. It is widely used in the computer vision community and is a great tool for learning and implementing image processing algorithms. Additionally, OpenCV is written in C++ with Python bindings, so the library is very fast and efficient than standard Python libraries.
+We have our image loaded into a numpy array, but what can we actually do with it? There are many complex operations that can be performed on images, but it would be very challenging to learn and implement them all at once. That's where OpenCV comes in. OpenCV is short for Open Computer Vision Library, and is a powerful open-source library that provides many functions for image processing, computer vision, and machine learning. It is widely used in the computer vision community and is a great tool for learning and implementing image processing algorithms. Additionally, OpenCV is written in C++ with Python bindings, so the library is very fast and efficient than standard Python libraries. There is a tutorial in the following link about OpenCV for more practise: https://www.geeksforgeeks.org/opencv-python-tutorial/
 
 To start with openCV, we will first learn how to load an image using the `cv2.imread()` function. Please run the code below to load the image using OpenCV.