Training HOG and SVM to work with OpenCV
I'm trying to find a person sitting down so I need to train my own HOG and SVM. After reading how HOG and SVM's work I really can't find a simple implementation for creating my own custom HOG and SVM. I get that I need to crop positive and negative sample images to a specific size and places them in respective folders. This program (https://github.com/opencv/opencv/blob...) train_HOG.cpp, from OpenCV, looks like a clean implementation but I'm not sure where to start.
Can I install OpenCV on my Windows machine and compile it with Visual Studio? After it runs is the output a .XML file?
I'm using OpenCV and Python on a Raspberry Pi. I've been able to use other trained .XML files by placing them in the Data folder where the default people detector is.
Yes you can download opencv or better build yourself opencv using cmake and vs. You can use xml file on every platform (linux,mac raspberry, windows...) using python java or c++