5abe3b59f5
Neumann L., Matas J.: Real-Time Scene Text Localization and Recognition, CVPR 2012. High-level C++ interface and implementation of algorithm is in the objdetect module. C++ example, a test image, and the default classifiers in xml files.
4047 lines
135 KiB
XML
4047 lines
135 KiB
XML
<?xml version="1.0"?>
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<opencv_storage>
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<boost type_id="opencv-ml-boost-tree">
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<boosting_type>RealAdaboost</boosting_type>
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<splitting_criteria>Gini</splitting_criteria>
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<ntrees>100</ntrees>
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<weight_trimming_rate>1.</weight_trimming_rate>
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<is_classifier>1</is_classifier>
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<var_all>8</var_all>
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<var_count>7</var_count>
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<ord_var_count>7</ord_var_count>
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<cat_var_count>0</cat_var_count>
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<training_params>
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<use_surrogates>0</use_surrogates>
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<max_categories>10</max_categories>
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<max_depth>1</max_depth>
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<min_sample_count>10</min_sample_count>
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<cross_validation_folds>0</cross_validation_folds>
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<priors type_id="opencv-matrix">
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<rows>1</rows>
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<cols>2</cols>
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<dt>d</dt>
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<data>
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1. 1.</data></priors></training_params>
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<var_idx type_id="opencv-matrix">
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<data>
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1 2 3 4 5 6 7</data></var_idx>
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0 0 0 0 0 0 0</var_type>
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<dt>i</dt>
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2</data></cat_count>
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<nodes>
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<_>
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<value>-5.2735593669695212e-15</value>
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<norm_class_idx>0</norm_class_idx>
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<Tn>0</Tn>
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<complexity>0</complexity>
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<alpha>0.</alpha>
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<node_risk>0.</node_risk>
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<tree_error>0.</tree_error>
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<splits>
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<_><var>1</var>
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<quality>5.0127285718917847e-01</quality>
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<le>1.5590050816535950e-01</le></_></splits></_>
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<_>
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<depth>1</depth>
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<value>-5.1638816859316518e-02</value>
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<alpha>0.</alpha>
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<node_risk>0.</node_risk>
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<tree_risk>0.</tree_risk>
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<tree_error>0.</tree_error></_>
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<_>
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<depth>1</depth>
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<value>4.9382797139634914e-02</value>
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<norm_class_idx>1</norm_class_idx>
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<node_risk>0.</node_risk>
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<tree_risk>0.</tree_risk>
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<tree_error>0.</tree_error></_></nodes></_></trees></boost>
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</opencv_storage>
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