Training Options Used –

-npos 448
-nneg 587
-mode ALL

The number of positive images used to train this classifier was 448, the number of negative images used was 587 and did not specify the number of stages the trainer should try to complete, so by default it tries to achieve 14 stages. The “-nonsym” option is used when the object class does not have vertical (left-right) symmetry. The “-mode ALL” uses the extended sets of Haar-like features, the default is BASIC and it uses only upright features, while ALL flag uses the full set of upright and 45 degree rotated feature set. During the training phase of this cascade it finished in stage 14, which created 28 total weak classifiers.

NEG: 27 0.00258225

Hit rate ≈ 45.1%

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