Class: OpenCV::CvNormalBayesClassifier

Inherits:
Object
  • Object
show all
Extended by:
FFI::DataConverter
Defined in:
lib/ropencv/ropencv_types.rb

Class Method Summary collapse

Instance Method Summary collapse

Class Method Details

.cast_from_cv_stat_model(ptr) ⇒ CvNormalBayesClassifier Also known as: castFromCvStatModel

Note:

wrapper for static method CvNormalBayesClassifier* CvNormalBayesClassifier::castFromCvStatModel(CvStatModel* ptr)

Parameters:

Returns:



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# File 'lib/ropencv/ropencv_types.rb', line 42152

def self.cast_from_cv_stat_model(ptr)
    Rbind::cv_normal_bayes_classifier_cast_from_cv_stat_model(ptr)
end

.cv_normal_bayes_classifier ⇒ Object .cv_normal_bayes_classifier(train_data, responses, var_idx = Cv::Mat.new(), sample_idx = Cv::Mat.new()) ⇒ Object

Overloads:

  • .cv_normal_bayes_classifier(train_data, responses, var_idx = Cv::Mat.new(), sample_idx = Cv::Mat.new()) ⇒ Object

    Parameters:

Raises:

  • (ArgumentError) 


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# File 'lib/ropencv/ropencv_types.rb', line 41999

def self.new(*args)
    if args.first.is_a?(FFI::Pointer) || args.first.is_a?(CvNormalBayesClassifierStruct)
        raise ArgumentError, "too many arguments for creating #{self.name} from Pointer" unless args.size == 1
        return super(args.first)
    end
    # overloaded method wrapper for CvNormalBayesClassifier::CvNormalBayesClassifier()
    @@cv_normal_bayes_classifier_cv_normal_bayes_classifier_defaults0 ||= []
    if(args.size >= 0 && args.size <= 0)
        targs = args.clone
        targs.size.upto(-1) do |i|
            targs[i] = @@cv_normal_bayes_classifier_cv_normal_bayes_classifier_defaults0[i]
        end
        begin
                return Rbind::cv_normal_bayes_classifier_cv_normal_bayes_classifier(*targs)
        rescue TypeError => e
            @error = e
        end
    end

    # overloaded method wrapper for CvNormalBayesClassifier::CvNormalBayesClassifier(const cv::Mat trainData, const cv::Mat responses, const cv::Mat varIdx = cv::Mat(), const cv::Mat sampleIdx = cv::Mat())
    @@cv_normal_bayes_classifier_cv_normal_bayes_classifier2_defaults1 ||= [nil, nil, Cv::Mat.new(), Cv::Mat.new()]
    if(args.size >= 2 && args.size <= 4)
        targs = args.clone
        targs.size.upto(3) do |i|
            targs[i] = @@cv_normal_bayes_classifier_cv_normal_bayes_classifier2_defaults1[i]
        end
        begin
                return Rbind::cv_normal_bayes_classifier_cv_normal_bayes_classifier2(*targs)
        rescue TypeError => e
            @error = e
        end
    end

    raise ArgumentError, "no constructor for #{self}(#{args.inspect})"
end

.null ⇒ Object

returns a null pointer to the object



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# File 'lib/ropencv/ropencv_types.rb', line 41988

def self.null
    new(CvNormalBayesClassifierStruct.new)
end

Instance Method Details

#cast_to_cv_stat_model ⇒ CvStatModel Also known as: castToCvStatModel

Note:

method wrapper for CvStatModel* CvNormalBayesClassifier::castToCvStatModel()

Returns:



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# File 'lib/ropencv/ropencv_types.rb', line 42138

def cast_to_cv_stat_model()
    __validate_pointer__
    result = Rbind::cv_normal_bayes_classifier_cast_to_cv_stat_model( self)
    if result.respond_to?(:__owner__?) && !result.__owner__?
    # store owner insight the pointer to not get garbage collected
        result.instance_variable_get(:@__obj_ptr__).instance_variable_set(:@__owner__,self) 
    end
    result
end

#clear ⇒ Void

Note:

method wrapper for void CvNormalBayesClassifier::clear()

methods

Returns:

  • (Void) 


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# File 'lib/ropencv/ropencv_types.rb', line 42110

def clear()
    __validate_pointer__
    Rbind::cv_normal_bayes_classifier_clear( self)
end

#load(filename, name = 0) ⇒ Void

Note:

method wrapper for void CvNormalBayesClassifier::load(c_string filename, c_string name = 0)

Parameters:

  • filename (C_string)
  • name (C_string) (defaults to: 0)

Returns:

  • (Void) 


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# File 'lib/ropencv/ropencv_types.rb', line 42170

def load(filename, name = 0)
    __validate_pointer__
    Rbind::cv_normal_bayes_classifier_load( self, filename, name)
end

#predict(samples, results = Cv::Mat::null) ⇒ Float

Note:

method wrapper for float CvNormalBayesClassifier::predict(const cv::Mat samples, const cv::Mat* results = 0/O)

Parameters:

Returns:

  • (Float) 


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# File 'lib/ropencv/ropencv_types.rb', line 42131

def predict(samples, results = Cv::Mat::null)
    __validate_pointer__
    Rbind::cv_normal_bayes_classifier_predict( self, samples, results)
end

#save(filename, name = 0) ⇒ Void

Note:

method wrapper for void CvNormalBayesClassifier::save(c_string filename, c_string name = 0)

Parameters:

  • filename (C_string)
  • name (C_string) (defaults to: 0)

Returns:

  • (Void) 


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# File 'lib/ropencv/ropencv_types.rb', line 42161

def save(filename, name = 0)
    __validate_pointer__
    Rbind::cv_normal_bayes_classifier_save( self, filename, name)
end

#to_s ⇒ Object

converts CvNormalBayesClassifier into a string by crawling through all its attributes



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# File 'lib/ropencv/ropencv_types.rb', line 42099

def to_s
    "#<CvNormalBayesClassifier >"
end

#train(train_data, responses, var_idx = Cv::Mat.new(), sample_idx = Cv::Mat.new(), update = false) ⇒ Bool

Note:

method wrapper for bool CvNormalBayesClassifier::train(const cv::Mat trainData, const cv::Mat responses, const cv::Mat varIdx = cv::Mat(), const cv::Mat sampleIdx = cv::Mat(), bool update = false)

Parameters:

  • train_data (Cv::Mat)
  • responses (Cv::Mat)
  • var_idx (Cv::Mat) (defaults to: Cv::Mat.new())
  • sample_idx (Cv::Mat) (defaults to: Cv::Mat.new())
  • update (Bool) (defaults to: false)

Returns:

  • (Bool) 


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# File 'lib/ropencv/ropencv_types.rb', line 42122

def train(train_data, responses, var_idx = Cv::Mat.new(), sample_idx = Cv::Mat.new(), update = false)
    __validate_pointer__
    Rbind::cv_normal_bayes_classifier_train( self, train_data, responses, var_idx, sample_idx, update)
end