CascadeClassifier Class Reference
[Object Detection]

Loads a classifier from a file.

Parameters:

filename

Name of the file from which the classifier is loaded.

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

Parameters:

image	Matrix of the type CV_8U containing an image where objects are detected.
objects	Vector of rectangles where each rectangle contains the detected object, the rectangles may be partially outside the original image.
numDetections	Vector of detection numbers for the corresponding objects. An object's number of detections is the number of neighboring positively classified rectangles that were joined together to form the object.
scaleFactor	Parameter specifying how much the image size is reduced at each image scale.
minNeighbors	Parameter specifying how many neighbors each candidate rectangle should have to retain it.
flags	Parameter with the same meaning for an old cascade as in the function cvHaarDetectObjects. It is not used for a new cascade.
minSize	Minimum possible object size. Objects smaller than that are ignored.
maxSize	Maximum possible object size. Objects larger than that are ignored.

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts. if `outputRejectLevels` is `true` returns `rejectLevels` and `levelWeights`.

Detects objects of different sizes in the input image.

The detected objects are returned as a list of rectangles.

Parameters:

image	Matrix of the type CV_8U containing an image where objects are detected.
objects	Vector of rectangles where each rectangle contains the detected object, the rectangles may be partially outside the original image.
scaleFactor	Parameter specifying how much the image size is reduced at each image scale.
minNeighbors	Parameter specifying how many neighbors each candidate rectangle should have to retain it.
flags	Parameter with the same meaning for an old cascade as in the function cvHaarDetectObjects. It is not used for a new cascade.
minSize	Minimum possible object size. Objects smaller than that are ignored.
maxSize	Maximum possible object size. Objects larger than that are ignored.

The function is parallelized with the TBB library.

Note:

• (Python) A face detection example using cascade classifiers can be found at opencv_source_code/samples/python/facedetect.py

Checks whether the classifier has been loaded.

Loads a classifier from a file.

Parameters:

filename

Name of the file from which the classifier is loaded. The file may contain an old HAAR classifier trained by the haartraining application or a new cascade classifier trained by the traincascade application.

Reads a classifier from a FileStorage node.

Note:

The file may contain a new cascade classifier (trained traincascade application) only.