Class: OpenCV::Cv::CascadeClassifier

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

.cascade_classifier ⇒ Object .cascade_classifier(filename) ⇒ Object

Overloads:

  • .cascade_classifier(filename) ⇒ Object

    Parameters:

Raises:

  • (ArgumentError) 


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# File 'lib/ropencv/ropencv_types.rb', line 27926

def self.new(*args)
    if args.first.is_a?(FFI::Pointer) || args.first.is_a?(CascadeClassifierStruct)
        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::CascadeClassifier::CascadeClassifier()
    @@cv_cascade_classifier_cascade_classifier_defaults0 ||= []
    if(args.size >= 0 && args.size <= 0)
        targs = args.clone
        targs.size.upto(-1) do |i|
            targs[i] = @@cv_cascade_classifier_cascade_classifier_defaults0[i]
        end
        begin
                return Rbind::cv_cascade_classifier_cascade_classifier(*targs)
        rescue TypeError => e
            @error = e
        end
    end

    # overloaded method wrapper for cv::CascadeClassifier::CascadeClassifier(const cv::String filename)
    @@cv_cascade_classifier_cascade_classifier2_defaults1 ||= [nil]
    if(args.size >= 1 && args.size <= 1)
        targs = args.clone
        targs.size.upto(0) do |i|
            targs[i] = @@cv_cascade_classifier_cascade_classifier2_defaults1[i]
        end
        begin
                return Rbind::cv_cascade_classifier_cascade_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 27918

def self.null
    new(CascadeClassifierStruct.new)
end

Instance Method Details

#detect_multi_scale(image, objects, scale_factor = 1.1, min_neighbors = 3, flags = 0, min_size = Cv::Size.new(), max_size = Cv::Size.new()) ⇒ Void #detect_multi_scale(image, objects, reject_levels, level_weights, scale_factor = 1.1, min_neighbors = 3, flags = 0, min_size = Cv::Size.new(), max_size = Cv::Size.new(), output_reject_levels = false) ⇒ Void

Note:

wrapper for overloaded method detect_multi_scale

Overloads:

  • #detect_multi_scale(image, objects, scale_factor = 1.1, min_neighbors = 3, flags = 0, min_size = Cv::Size.new(), max_size = Cv::Size.new()) ⇒ Void

    Parameters:

    • image (Cv::Mat)
    • objects (Std::Vector::Cv_Rect)
    • scale_factor (Double) (defaults to: 1.1)
    • min_neighbors (Fixnum) (defaults to: 3)
    • flags (Fixnum) (defaults to: 0)
    • min_size (Cv::Size) (defaults to: Cv::Size.new())
    • max_size (Cv::Size) (defaults to: Cv::Size.new())

    Returns:

    • (Void)
  • #detect_multi_scale(image, objects, reject_levels, level_weights, scale_factor = 1.1, min_neighbors = 3, flags = 0, min_size = Cv::Size.new(), max_size = Cv::Size.new(), output_reject_levels = false) ⇒ Void

    Parameters:

    Returns:

    • (Void)

Raises:

  • (ArgumentError) 


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# File 'lib/ropencv/ropencv_types.rb', line 28073

def detect_multi_scale(*args)
    __validate_pointer__
    # overloaded method wrapper for void cv::CascadeClassifier::detectMultiScale(const cv::Mat image, std::vector<cv::Rect>& objects, double scaleFactor = 1.1, int minNeighbors = 3, int flags = 0, const cv::Size minSize = Size(), const cv::Size maxSize = Size())
    @@cv_cascade_classifier_detect_multi_scale_defaults0 ||= [nil, nil, 1.1, 3, 0, Cv::Size.new(), Cv::Size.new()]
    if(args.size >= 2 && args.size <= 7)
        targs = args.clone
        targs.size.upto(6) do |i|
            targs[i] = @@cv_cascade_classifier_detect_multi_scale_defaults0[i]
        end
        begin
                return Rbind::cv_cascade_classifier_detect_multi_scale(self,*targs)
        rescue TypeError => e
            @error = e
        end
    end

    # overloaded method wrapper for void cv::CascadeClassifier::detectMultiScale(const cv::Mat image, std::vector<cv::Rect>& objects, std::vector<int> rejectLevels, std::vector<double> levelWeights, double scaleFactor = 1.1, int minNeighbors = 3, int flags = 0, const cv::Size minSize = Size(), const cv::Size maxSize = Size(), bool outputRejectLevels = false)
    @@cv_cascade_classifier_detect_multi_scale2_defaults1 ||= [nil, nil, nil, nil, 1.1, 3, 0, Cv::Size.new(), Cv::Size.new(), false]
    if(args.size >= 4 && args.size <= 10)
        targs = args.clone
        targs.size.upto(9) do |i|
            targs[i] = @@cv_cascade_classifier_detect_multi_scale2_defaults1[i]
        end
        begin
                return Rbind::cv_cascade_classifier_detect_multi_scale2(self,*targs)
        rescue TypeError => e
            @error = e
        end
    end

    raise ArgumentError, "No overloaded signature fits to: #{args.map(&:class)}"
end

#empty ⇒ Bool

Note:

method wrapper for bool cv::CascadeClassifier::empty()

methods

Returns:

  • (Bool) 


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# File 'lib/ropencv/ropencv_types.rb', line 28037

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

#load(filename) ⇒ Bool

Note:

method wrapper for bool cv::CascadeClassifier::load(const cv::String filename)

Parameters:

Returns:

  • (Bool) 


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# File 'lib/ropencv/ropencv_types.rb', line 28045

def load(filename)
    __validate_pointer__
    Rbind::cv_cascade_classifier_load( self, filename)
end

#to_s ⇒ Object

converts CascadeClassifier into a string by crawling through all its attributes



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# File 'lib/ropencv/ropencv_types.rb', line 28026

def to_s
    "#<cv::CascadeClassifier >"
end