unpacking CSV hog from [d w*h] to [h w d] format
running visualizeHOG() on these HOGs produces results that make no sense. I wonder what might be going wrong...
ffld and voc5 at least look the same when we do visualizeHOG() after unpacking. but, the visualization still looks nothing like the original car, or the car HOG that we get before exporting to CSV.
saving pre-transposed, pre-csv hog from voc5 to mat
aha, matlab was reading [d w*h] as [w*h d]. flipped this, and the visualizations seem to make sense.
visually, the piggyHOG and voc5 HOG results match, except for piggyHOG's border thing.
working on cleaning up normalization in rightmost row, col
i think i fixed the border stuff. still 20% difference between piggyhog and voc5. i wonder what else could be going wrong. also, there are a couple of 'blotches' around the top padding in piggyhog
cleaned up some printfs