예제 #1
0
        //javadoc: RTrees::load(filepath)
        public static new RTrees load(string filepath)
        {
#if ((UNITY_ANDROID || UNITY_IOS || UNITY_WEBGL) && !UNITY_EDITOR) || UNITY_5 || UNITY_5_3_OR_NEWER
            RTrees retVal = RTrees.__fromPtr__(ml_RTrees_load_11(filepath));

            return(retVal);
#else
            return(null);
#endif
        }
예제 #2
0
        //
        // C++: static Ptr_RTrees cv::ml::RTrees::create()
        //

        //javadoc: RTrees::create()
        public static new RTrees create()
        {
#if ((UNITY_ANDROID || UNITY_IOS || UNITY_WEBGL) && !UNITY_EDITOR) || UNITY_5 || UNITY_5_3_OR_NEWER
            RTrees retVal = RTrees.__fromPtr__(ml_RTrees_create_10());

            return(retVal);
#else
            return(null);
#endif
        }
예제 #3
0
        //
        // C++: static Ptr_RTrees cv::ml::RTrees::load(String filepath, String nodeName = String())
        //

        /**
         * Loads and creates a serialized RTree from a file
         *
         * Use RTree::save to serialize and store an RTree to disk.
         * Load the RTree from this file again, by calling this function with the path to the file.
         * Optionally specify the node for the file containing the classifier
         *
         * param filepath path to serialized RTree
         * param nodeName name of node containing the classifier
         * return automatically generated
         */
        public static new RTrees load(string filepath, string nodeName)
        {
            return(RTrees.__fromPtr__(ml_RTrees_load_10(filepath, nodeName)));
        }
예제 #4
0
        //
        // C++: static Ptr_RTrees cv::ml::RTrees::create()
        //

        /**
         * Creates the empty model.
         *     Use StatModel::train to train the model, StatModel::train to create and train the model,
         *     Algorithm::load to load the pre-trained model.
         * return automatically generated
         */
        public static new RTrees create()
        {
            return(RTrees.__fromPtr__(ml_RTrees_create_10()));
        }
예제 #5
0
 /**
  * Loads and creates a serialized RTree from a file
  *
  * Use RTree::save to serialize and store an RTree to disk.
  * Load the RTree from this file again, by calling this function with the path to the file.
  * Optionally specify the node for the file containing the classifier
  *
  * param filepath path to serialized RTree
  * return automatically generated
  */
 public static new RTrees load(string filepath)
 {
     return(RTrees.__fromPtr__(ml_RTrees_load_11(filepath)));
 }