Class: OpenCV::Cv::Ptr::Cv_Ml_NormalBayesClassifier

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

Specializing collapse

Class Method Summary collapse

Instance Method Summary collapse

Dynamic Method Handling

This class handles dynamic methods through the method_missing method

#method_missing(m, *args) ⇒ Object 



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# File 'lib/ropencv/ropencv_types.rb', line 53404

def method_missing(m,*args)
    raise "Ptr cv::Ptr is empty. Cannot call #{m} on it!" if empty
    get.method(m).call(*args)
end

Class Method Details

.ptr ⇒ Object .ptr ⇒ Object .ptr ⇒ Object .ptr ⇒ Object .ptr ⇒ Object

Overloads:

Raises:

  • (ArgumentError) 


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# File 'lib/ropencv/ropencv_types.rb', line 53208

def self.new(*args)
    if args.first.is_a?(FFI::Pointer) || args.first.is_a?(Ptr::Cv_Ml_NormalBayesClassifierStruct)
        raise ArgumentError, "too many arguments for creating #{self.name} from Pointer" unless args.size == 1
        return super(args.first)
    end
    # overloaded method wrapper for cv::Ptr<cv::ml::NormalBayesClassifier>::Ptr<cv::ml::NormalBayesClassifier>()
    @@cv_ptr_cv_ml_normal_bayes_classifier_ptr_cv_ml_normal_bayes_classifier_defaults0 ||= []
    if(args.size >= 0 && args.size <= 0)
        targs = args.clone
        targs.size.upto(-1) do |i|
            targs[i] = @@cv_ptr_cv_ml_normal_bayes_classifier_ptr_cv_ml_normal_bayes_classifier_defaults0[i]
        end
        begin
                return Rbind::cv_ptr_cv_ml_normal_bayes_classifier_ptr_cv_ml_normal_bayes_classifier(*targs)
        rescue TypeError => e
            @error = e
        end
    end

    # overloaded method wrapper for cv::Ptr<cv::ml::NormalBayesClassifier>::Ptr<cv::ml::NormalBayesClassifier>(cv::Ptr<cv::ml::NormalBayesClassifier> other)
    @@cv_ptr_cv_ml_normal_bayes_classifier_ptr_cv_ml_normal_bayes_classifier__2_defaults1 ||= [nil]
    if(args.size >= 1 && args.size <= 1)
        targs = args.clone
        targs.size.upto(0) do |i|
            targs[i] = @@cv_ptr_cv_ml_normal_bayes_classifier_ptr_cv_ml_normal_bayes_classifier__2_defaults1[i]
        end
        begin
                return Rbind::cv_ptr_cv_ml_normal_bayes_classifier_ptr_cv_ml_normal_bayes_classifier__2(*targs)
        rescue TypeError => e
            @error = e
        end
    end

    # overloaded method wrapper for cv::Ptr<cv::ml::NormalBayesClassifier>::Ptr<cv::ml::NormalBayesClassifier>(cv::Ptr<cv::ml::NormalBayesClassifier> owner, cv::ml::NormalBayesClassifier* p)
    @@cv_ptr_cv_ml_normal_bayes_classifier_ptr_cv_ml_normal_bayes_classifier__3_defaults2 ||= [nil, nil]
    if(args.size >= 2 && args.size <= 2)
        targs = args.clone
        targs.size.upto(1) do |i|
            targs[i] = @@cv_ptr_cv_ml_normal_bayes_classifier_ptr_cv_ml_normal_bayes_classifier__3_defaults2[i]
        end
        begin
                return Rbind::cv_ptr_cv_ml_normal_bayes_classifier_ptr_cv_ml_normal_bayes_classifier__3(*targs)
        rescue TypeError => e
            @error = e
        end
    end

    # overloaded method wrapper for cv::Ptr<cv::ml::NormalBayesClassifier>::Ptr<cv::ml::NormalBayesClassifier>(cv::ml::NormalBayesClassifier* p)
    @@cv_ptr_cv_ml_normal_bayes_classifier_ptr_cv_ml_normal_bayes_classifier__4_defaults3 ||= [nil]
    if(args.size >= 1 && args.size <= 1)
        targs = args.clone
        targs.size.upto(0) do |i|
            targs[i] = @@cv_ptr_cv_ml_normal_bayes_classifier_ptr_cv_ml_normal_bayes_classifier__4_defaults3[i]
        end
        begin
                return Rbind::cv_ptr_cv_ml_normal_bayes_classifier_ptr_cv_ml_normal_bayes_classifier__4(*targs)
        rescue TypeError => e
            @error = e
        end
    end

    # overloaded method wrapper for cv::Ptr<cv::ml::NormalBayesClassifier>::Ptr<cv::ml::NormalBayesClassifier>(cv::Ptr<cv::ml::StatModel> owner, cv::ml::NormalBayesClassifier* p)
    @@cv_ptr_cv_ml_normal_bayes_classifier_ptr_cv_ml_normal_bayes_classifier__5_defaults4 ||= [nil, nil]
    if(args.size >= 2 && args.size <= 2)
        targs = args.clone
        targs.size.upto(1) do |i|
            targs[i] = @@cv_ptr_cv_ml_normal_bayes_classifier_ptr_cv_ml_normal_bayes_classifier__5_defaults4[i]
        end
        begin
                return Rbind::cv_ptr_cv_ml_normal_bayes_classifier_ptr_cv_ml_normal_bayes_classifier__5(*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 53189

def self.null
    new(Ptr::Cv_Ml_NormalBayesClassifierStruct.new)
end

Instance Method Details

#empty ⇒ Bool

Note:

method wrapper for bool cv::Ptrcv::ml::NormalBayesClassifier::empty()

Returns:

  • (Bool) 


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# File 'lib/ropencv/ropencv_types.rb', line 53396

def empty()
    __validate_pointer__
    Rbind::cv_ptr_cv_ml_normal_bayes_classifier_empty( self)
end

#get ⇒ Cv::Ml::NormalBayesClassifier

Note:

method wrapper for cv::ml::NormalBayesClassifier* cv::Ptrcv::ml::NormalBayesClassifier::get()

Returns:



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# File 'lib/ropencv/ropencv_types.rb', line 53384

def get()
    __validate_pointer__
    result = Rbind::cv_ptr_cv_ml_normal_bayes_classifier_get( 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

#release ⇒ Void

Note:

method wrapper for void cv::Ptrcv::ml::NormalBayesClassifier::release()

methods

Returns:

  • (Void) 


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# File 'lib/ropencv/ropencv_types.rb', line 53361

def release()
    __validate_pointer__
    Rbind::cv_ptr_cv_ml_normal_bayes_classifier_release( self)
end

#reset(p) ⇒ Void

Note:

method wrapper for void cv::Ptrcv::ml::NormalBayesClassifier::reset(cv::ml::NormalBayesClassifier* p)

Parameters:

Returns:

  • (Void) 


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# File 'lib/ropencv/ropencv_types.rb', line 53369

def reset(p)
    __validate_pointer__
    Rbind::cv_ptr_cv_ml_normal_bayes_classifier_reset( self, p)
end

#swap(other) ⇒ Void

Note:

method wrapper for void cv::Ptrcv::ml::NormalBayesClassifier::swap(cv::Ptrcv::ml::NormalBayesClassifier other)

Parameters:

Returns:

  • (Void) 


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# File 'lib/ropencv/ropencv_types.rb', line 53377

def swap(other)
    __validate_pointer__
    Rbind::cv_ptr_cv_ml_normal_bayes_classifier_swap( self, other)
end

#to_s ⇒ Object

converts Ptr::Cv_Ml_NormalBayesClassifier into a string by crawling through all its attributes



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# File 'lib/ropencv/ropencv_types.rb', line 53350

def to_s
    "#<cv::Ptr<cv::ml::NormalBayesClassifier> >"
end