@@ -17,23 +17,23 @@ class CV_EXPORTS_W FacemarkKazemi : public Algorithm
1717 * \brief Constructor
1818 */
1919 Params ();
20- // / cascade_depth This stores the deapth of cascade used for training.
20+ // ! cascade_depth This stores the deapth of cascade used for training.
2121 unsigned long cascade_depth;
22- // / tree_depth This stores the max height of the regression tree built.
22+ // ! tree_depth This stores the max height of the regression tree built.
2323 unsigned long tree_depth;
24- // / num_trees_per_cascade_level This stores number of trees fit per cascade level.
24+ // ! num_trees_per_cascade_level This stores number of trees fit per cascade level.
2525 unsigned long num_trees_per_cascade_level;
26- // / learning_rate stores the learning rate in gradient boosting, also reffered as shrinkage.
26+ // ! learning_rate stores the learning rate in gradient boosting, also reffered as shrinkage.
2727 float learning_rate;
28- // / oversampling_amount stores number of initialisations used to create training samples.
28+ // ! oversampling_amount stores number of initialisations used to create training samples.
2929 unsigned long oversampling_amount;
30- // / num_test_coordinates stores number of test coordinates.
30+ // ! num_test_coordinates stores number of test coordinates.
3131 unsigned long num_test_coordinates;
32- // / lambda stores a value to calculate probability of closeness of two coordinates.
32+ // ! lambda stores a value to calculate probability of closeness of two coordinates.
3333 float lambda;
34- // / num_test_splits stores number of random test splits generated.
34+ // ! num_test_splits stores number of random test splits generated.
3535 unsigned long num_test_splits;
36- // / configfile stores the name of the file containing the values of training parameters
36+ // ! configfile stores the name of the file containing the values of training parameters
3737 String configfile;
3838 };
3939 CV_WRAP static Ptr<FacemarkKazemi> create ();
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