We trained an LBP classifier and currently we dump all detections to disk. The size of these detection images is the same size we use for the positive samples (24x24).
What I would like to do now is to create a feedback loop in the training process. In other words. Use my false positives detection images to tell opencv_traincascade what is NOT our desired result. Current negatives are quite unspecific. Basically I would like to specify a "negatives.vec" file.
However the documentation states that the negatives must be larger than the positives.
What's the best way to include these false positives in a run of opencv_traincascade?