Create a computer vision system using decision tree algorithms to solve a real-world problem : [Activity] Code to perfor

The video tutorial demonstrates how to apply Histogram of Oriented Gradients (HOG) to extract features from an image of a truck using Python and OpenCV. It covers loading libraries and images, converting images to grayscale, applying Sobel filters, and implementing HOG to extract and analyze features. The tutorial also explains rescaling intensity for better visualization and discusses using these features in machine learning classifiers to detect objects like cars and trucks.

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