5e5c5374283ebbe1d32c10cbab271b893c03cdd7,chainercv/evaluations/eval_detection_voc.py,,_voc_ap,#Any#Any#Any#,173

Before Change

        mpre = np.concatenate(([0.], prec, [0.]))

        // compute the precision envelope
        for i in six.moves.range(mpre.size - 1, 0, -1):
            mpre[i - 1] = np.maximum(mpre[i - 1], mpre[i])

        // to calculate area under PR curve, look for points
        // where X axis (recall) changes value
        i = np.where(mrec[1:] != mrec[:-1])[0]

        // and sum (\Delta recall) * prec
        ap = np.sum((mrec[i + 1] - mrec[i]) * mpre[i + 1])

After Change

        mrec = np.concatenate(([0.], rec, [1.]))
        mpre = np.concatenate(([0.], prec, [0.]))

        mpre = np.maximum.accumulate(mpre[::-1])[::-1]

        // to calculate area under PR curve, look for points
        // where X axis (recall) changes value
        i = np.where(mrec[1:] != mrec[:-1])[0]

Instances