Module opencv_ml

This module includes some helper functions for training OpenCV's machine learning algorithms. Created on Mar 25, 2013

Author: David S. Bolme Oak Ridge National Laboratory

Classes

StatsModelWrapper
This class wraps an opencv stats model to support pickling and other pythonic features, etc.

Functions

svc_rbf(data, responses)
Auto trains an OpenCV SVM.

source code

svc_linear(data, responses)
Auto trains an OpenCV SVM.

source code

svr_rbf(data, responses)
Auto trains an OpenCV SVM.

source code

svr_linear(data, responses)
Auto trains an OpenCV SVM.

source code

random_forest(data, responses, n_trees=100)
Auto trains an OpenCV SVM.

source code

boost(data, responses, weak_count=100, max_depth=20, boost_type=0)
Auto trains an OpenCV SVM.

source code

gbtrees(data, responses, n_trees=100)
Auto trains an OpenCV SVM.

source code

Variables

__package__ = 'pyvision.ml'