The histograms of oriented gradients are computed over the entire image by dividing the image into cells that are small relative to the image size. So you end up with a grid of HOGs covering the entire image. Variables in this step include: cell size, overlap between adjacent cells, number of spatial bins, number of orientation bins. The following image shows a visualization of the HOGs computed for the sign13.jpg image using the default values.
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