21 lines
1.2 KiB
XML
21 lines
1.2 KiB
XML
<?xml version="1.0"?>
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<!-- cascade_depth stores the depth of cascade of regressors used for training.
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tree_depth stores the depth of trees created as weak learners during gradient boosting.
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num_trees_per_cascade_level stores number of trees required per cascade level.
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learning_rate stores the learning rate for gradient boosting.This is required to prevent overfitting using shrinkage.
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oversampling_amount stores the oversampling amount for the samples.
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num_test_coordinates stores number of test coordinates to be generated as samples to decide for making the split.
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lambda stores the value used for calculating the probabilty which helps to select closer pixels for making the split.
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num_test_splits stores the number of test splits to be generated before making the best split.
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-->
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<opencv_storage>
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<cascade_depth>15</cascade_depth>
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<tree_depth>4</tree_depth>
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<num_trees_per_cascade_level>500</num_trees_per_cascade_level>
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<learning_rate>1.0000000149011612e-01</learning_rate>
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<oversampling_amount>20</oversampling_amount>
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<num_test_coordinates>400</num_test_coordinates>
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<lambda>1.0000000149011612e-01</lambda>
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<num_test_splits>20</num_test_splits>
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</opencv_storage>
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