Load and create a new detector

detector = cv.DPMDetector(filenames)
detector = cv.DPMDetector(filenames, classnames)

Input

• filenames A set of filenames storing the trained detectors (models). Each file contains one model.
• classnames (optional) A set of trained models names. If it's empty then the name of each model will be constructed from the name of file containing the model. E.g. the model stored in "/home/user/cat.xml" will get the name "cat".

Load the trained models from given .xml files and return a new DPMDetector detector.

filenames is a string or a cell array of strings specifying the location of model files. Optionally the method takes class names as a cell array of strings that has the same size to filenames. By default, classnames are set to the name of the file without xml extension.