Hi, new to group, new to image processing starting to explore HoG. Looking for a python implementation and discovered skimage.feature.hog(). My plan to run skimage.features.hog over some positive/negative images and use this to train a svm classifier from scikits-learn. I am trying to understand the output hog before I proceed further. When I run skimag.feature.hog() it over a region of interest it appears to returns an array. How do I interpret this array? Is there a way to reshape the array to see what it was like before it was flattened or that doesn't make any sense? Can I plot the descriptor returned in any meaningful way? Also when I choose to visualise the HoG often where I expected to see vertical line dominate, say on the edge of builds, the line drawn often appears to be more dominant at the 45 deg. Is this expected as the line drawn is really just the sum of all surrounding orientations for the "cell"? Thanks in advance, Michael. --