Training Options Used –
-npos 448
-nneg 587
-nstages 20
The number of positive images used to train this classifier was 44, the number of negative images used was 587and specified that the number of stages the trainer should try to complete is 20.
With this cascade the trainer was able to reach its set goal of 20 stages, which created 51 total weak classifiers.
NEG: 27 0.000192682
Hit rate ≈ 29.8%
Tags: testing outcomes, trials