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face: attempt#2 at kazemi, this time minus the params
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modules/face/include/opencv2/face/face_alignment.hpp

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@@ -17,23 +17,23 @@ class CV_EXPORTS_W FacemarkKazemi : public Algorithm
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* \brief Constructor
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*/
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Params();
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/// cascade_depth This stores the deapth of cascade used for training.
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//! cascade_depth This stores the deapth of cascade used for training.
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unsigned long cascade_depth;
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/// tree_depth This stores the max height of the regression tree built.
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//! tree_depth This stores the max height of the regression tree built.
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unsigned long tree_depth;
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/// num_trees_per_cascade_level This stores number of trees fit per cascade level.
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//! num_trees_per_cascade_level This stores number of trees fit per cascade level.
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unsigned long num_trees_per_cascade_level;
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/// learning_rate stores the learning rate in gradient boosting, also reffered as shrinkage.
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//! learning_rate stores the learning rate in gradient boosting, also reffered as shrinkage.
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float learning_rate;
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/// oversampling_amount stores number of initialisations used to create training samples.
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//! oversampling_amount stores number of initialisations used to create training samples.
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unsigned long oversampling_amount;
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/// num_test_coordinates stores number of test coordinates.
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//! num_test_coordinates stores number of test coordinates.
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unsigned long num_test_coordinates;
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/// lambda stores a value to calculate probability of closeness of two coordinates.
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//! lambda stores a value to calculate probability of closeness of two coordinates.
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float lambda;
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/// num_test_splits stores number of random test splits generated.
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//! num_test_splits stores number of random test splits generated.
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unsigned long num_test_splits;
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/// configfile stores the name of the file containing the values of training parameters
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//! configfile stores the name of the file containing the values of training parameters
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String configfile;
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};
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CV_WRAP static Ptr<FacemarkKazemi> create();

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