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I use HoG to detect pedestrians in a hybrid system and I need to use the posterior probability from the classifier. In libsvm it is possible to train the classifier to return scaled probabilities (uses Platt's method). In openCV 2.4.3 in the gpu module under the HOGDescriptor class, there were added two functions (computeConfidence and computeConfidenceMultiscale) that return confidence of classification instead of binary class. Since opencv uses a version of libsvm does anyone know if these confidences are are already scaled? I couldn't find any relevant documentation.

I use HoG to detect pedestrians in a hybrid system and I need to use the posterior probability from the classifier. classifier.

In libsvm it is possible to train the classifier to return scaled probabilities (uses Platt's method). method).

In openCV 2.4.3 in the gpu module under the HOGDescriptor class, there were added two functions (computeConfidence and computeConfidenceMultiscale) that return confidence of classification instead of binary class. class.

Since opencv uses a version of libsvm does anyone know if these confidences are are already scaled? I couldn't find any relevant documentation.