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In this document, we can find the HoG matlab code which includes the basic code for the HOG algorithm. It is worth mentioning that the HOG algorithm is a widely used image feature descriptor that can be used for object detection and recognition. The HOG algorithm works by dividing the image into small cells and calculating the distribution of gradient orientations in each cell. The resulting feature vector can then be used to train a classifier to recognize different objects in images. By using the HoG matlab code provided in this document, researchers and practitioners in the field of computer vision can easily implement the HOG algorithm in their own projects and experiments. Furthermore, they can also modify the code to suit their specific needs and requirements. Overall, the HoG matlab code provided in this document is a valuable resource for anyone interested in learning about or working with the HOG algorithm.