Commit fe73cee0 by Manuel Günther

### Changed the ROC curve to implement what is required by 'The Handbook of Face Recognition'

parent c055afa9
Pipeline #5508 passed with stages
in 3 minutes and 7 seconds
 ... ... @@ -385,7 +385,7 @@ blitz::Array bob::measure::roc_for_far(const blitz::Array& n // do some fast magic to compute the FRR values ;-) do{ // check whether the current positive value is less than the current negative one if (*pos_it <= *neg_it){ if (*pos_it < *neg_it){ // increase the positive count ++pos_index; // go to the next positive value ... ... @@ -399,8 +399,8 @@ blitz::Array bob::measure::roc_for_far(const blitz::Array& n // check, if we have reached a new FAR limit, // i.e. if the relative number of negative similarities is greater than 1-FAR (which is the CRR) if (((double)neg_index / (double)n_neg > 1. - far_list(far_index)) && if (((double)neg_index / (double)n_neg > 1. - far_list(far_index)) && !(bob::core::isClose ((double)neg_index / (double)n_neg, 1. - far_list(far_index), 1e-9, 1e-9))) { // copy the far value retval(0,far_index) = far_list(far_index); ... ...
 ... ... @@ -192,9 +192,9 @@ def test_plots(): # This example will test the ROC for FAR plot calculation functionality. far = [0.01, 0.1, 1] ref = [0.48, 0.22, 0] ref = [0.42, 0.12, 0] xy = roc_for_far(negatives, positives, far) # uncomment the next line to save a reference value assert numpy.array_equal(xy[0], far) assert numpy.array_equal(xy[1], ref) ... ...
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