And is there a way to select the top N HoG Descriptors from the flattened array?
On Sunday, 24 July 2016 14:59:04 UTC+1, Michael O'Brien wrote: > > Hi all, > > I'm new to computer vision/machine learning and I was hoping I could ask > the community for some advise. I've calculated HoG descriptors for frames > in a video but I'm not sure how best to group/join/??? them so I can then > run Kmeans clustering on them. I'm hoping to use the (Visual) Bag of Words > method to classify using random forrests but I'm a novice when it comes to > ndarrays and not sure of the correct terminology. > > I know the HoG descriptors are flattened arrays but in order to cluster > the frames/image descriptors I would need to group all the descriptors > together. What is the best way to create a data structure suitable for > kmeans when you have 100,000's of individual descriptors and do I need to > pre-process the ndarrays ? > > Michael > -- You received this message because you are subscribed to the Google Groups "scikit-image" group. To unsubscribe from this group and stop receiving emails from it, send an email to scikit-image+unsubscr...@googlegroups.com. To post to this group, send an email to scikit-image@googlegroups.com. To view this discussion on the web, visit https://groups.google.com/d/msgid/scikit-image/ff083d85-52fb-4cfe-a122-664abae572f2%40googlegroups.com. For more options, visit https://groups.google.com/d/optout.
