Detect objects in an image with Haar Cascade Classifier.
The HaarCascadeClassifier, when used to detect objects, is returning a
list of detections, with weights instead of confidence scores. This class
converts weights into scores ranging [0.998, min_ratio] with a modified
version of the Unity-based normalization method.
This classifier already delete overlapped detections and allows to fix
a threshold size to filter too small objects.