Class: Cv::Mat

Inherits:
Object
  • Object
show all
Defined in:
lib/opencv-ruby/core/mat.rb

Instance Method Summary collapse

Instance Method Details

#absdiff(other) ⇒ Object 



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# File 'lib/opencv-ruby/core/mat.rb', line 299

def absdiff(other)
  dest = self.class.new(self.rows, self.cols, self.type)
  Cv::absdiff(self.input_array, other.input_array, dest.output_array)
  dest
end

#adaptive_threshold(max_value, adaptive_method, threshold_type, block_size, c) ⇒ Object 



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# File 'lib/opencv-ruby/core/mat.rb', line 305

def adaptive_threshold(max_value, adaptive_method, threshold_type, block_size, c)
  dest = self.class.new(self.rows, self.cols, self.type)
  Cv::adaptive_threshold(self.input_array, dest.output_array, max_value, adaptive_method, threshold_type, block_size, c)
  dest
end

#apply_color_map(colormap) ⇒ Object 



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# File 'lib/opencv-ruby/core/mat.rb', line 311

def apply_color_map(colormap)
  dest = self.class.new(self.rows, self.cols, self.type)
  Cv::apply_color_map(self.input_array, dest.output_array, colormap)
  dest
end

#bilateral_filter(d, sigma_color, sigma_space, border_type: Cv::BorderTypes::BORDER_DEFAULT) ⇒ Object 



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# File 'lib/opencv-ruby/core/mat.rb', line 317

def bilateral_filter(d, sigma_color, sigma_space, border_type: Cv::BorderTypes::BORDER_DEFAULT)
  dest = self.class.new(self.rows, self.cols, self.type)
  Cv::bilateral_filter(self.input_array, dest.output_array, d, sigma_color, sigma_space, border_type)
  dest
end

#bitwise_and(other, mask: nil) ⇒ Object 



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# File 'lib/opencv-ruby/core/mat.rb', line 275

def bitwise_and(other, mask: nil)
  dest = self.clone
  Cv::bitwise_and(self.input_array, other.input_array, dest.output_array, mask&.input_array)
  dest
end

#bitwise_not(mask: nil) ⇒ Object 



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# File 'lib/opencv-ruby/core/mat.rb', line 293

def bitwise_not(mask: nil)
  dest = self.clone
  Cv::bitwise_not(self.input_array, dest.output_array, mask&.input_array)
  dest
end

#bitwise_or(other, mask: nil) ⇒ Object 



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# File 'lib/opencv-ruby/core/mat.rb', line 281

def bitwise_or(other, mask: nil)
  dest = self.clone
  Cv::bitwise_or(self.input_array, other.input_array, dest.output_array, mask&.input_array)
  dest
end

#bitwise_xor(other, mask: nil) ⇒ Object 



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# File 'lib/opencv-ruby/core/mat.rb', line 287

def bitwise_xor(other, mask: nil)
  dest = self.clone
  Cv::bitwise_xor(self.input_array, other.input_array, dest.output_array, mask&.input_array)
  dest
end

#blur(ksize, anchor: Cv::Point.new(-1,-1), border_type: Cv::BorderTypes::BORDER_DEFAULT) ⇒ Object 



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# File 'lib/opencv-ruby/core/mat.rb', line 323

def blur(ksize, anchor: Cv::Point.new(-1,-1), border_type: Cv::BorderTypes::BORDER_DEFAULT)
  dest = self.class.new(self.rows, self.cols, self.type)
  Cv::blur(self.input_array, dest.output_array, ksize, anchor, border_type)
  dest
end

#circle(center, radius, color, thickness: 1, line_type: Cv::LineTypes::LINE_8, shift: 0) ⇒ Object

Drawing functions



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# File 'lib/opencv-ruby/core/mat.rb', line 668

def circle(center, radius, color, thickness: 1, line_type: Cv::LineTypes::LINE_8, shift: 0)
  Cv::circle(self.input_output_array, center, radius, color, thickness, line_type, shift)
  self
end

#compare(other, operation) ⇒ Object

Provide more Ruby like API to OpenCV



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# File 'lib/opencv-ruby/core/mat.rb', line 221

def compare(other, operation)
    dest = self.class.new(self.rows, self.cols, self.type)
    Cv::compare(self.input_array, other.input_array, dest.output_array, operation)
  dest
end

#convert_scale_abs(alpha: 1, beta: 0) ⇒ Object 



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# File 'lib/opencv-ruby/core/mat.rb', line 329

def convert_scale_abs(alpha: 1, beta: 0)
  dest = self.class.new
  Cv::convert_scale_abs(self.input_array, dest.output_array, alpha, beta)
  dest
end

#convert_to(type, alpha, double, beta = 0) ⇒ Object 



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# File 'lib/opencv-ruby/core/mat.rb', line 336

def convert_to(type, alpha, double, beta = 0)
  dest = self.class.new(self.rows, self.cols, self.type)
  self.convert_to_cpp(dest.output_array, alpha, double, beta)
  dest
end

#convert_to_cpp ⇒ Object 



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# File 'lib/opencv-ruby/core/mat.rb', line 335

alias :convert_to_cpp :convert_to

#copy_make_border(top, bottom, left, right, border_type, value: Cv::Scalar.new) ⇒ Object 



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# File 'lib/opencv-ruby/core/mat.rb', line 342

def copy_make_border(top, bottom, left, right, border_type, value: Cv::Scalar.new)
  dest = self.class.new(self.rows, self.cols, self.type)
  Cv::copy_make_border(self.input_array, dest.output_array, top, bottom, left, right, border_type, value)
  dest
end

#corner_eigen_vals_and_vecs(block_size, ksize, border_type: Cv::BorderTypes::BORDER_DEFAULT) ⇒ Object 



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# File 'lib/opencv-ruby/core/mat.rb', line 348

def corner_eigen_vals_and_vecs(block_size, ksize, border_type: Cv::BorderTypes::BORDER_DEFAULT)
  dest = Cv::Mat6f.new(self.rows, self.cols)
  Cv::corner_eigen_vals_and_vecs(self.input_array, dest.output_array, block_size, ksize, border_type)
  dest
end

#corner_harris(block_size, ksize, k, border_type: Cv::BorderTypes::BORDER_DEFAULT) ⇒ Object 



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# File 'lib/opencv-ruby/core/mat.rb', line 354

def corner_harris(block_size, ksize, k, border_type: Cv::BorderTypes::BORDER_DEFAULT)
  dest = Cv::Mat1f.new(self.rows, self.cols)
  Cv::corner_harris(self.input_array, dest.output_array, block_size, ksize, k, border_type)
  dest
end

#corner_min_eigen_val(block_size, ksize: 3, border_type: Cv::BorderTypes::BORDER_DEFAULT) ⇒ Object 



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# File 'lib/opencv-ruby/core/mat.rb', line 360

def corner_min_eigen_val(block_size, ksize: 3, border_type: Cv::BorderTypes::BORDER_DEFAULT)
  dest = Cv::Mat1f.new(self.rows, self.cols)
  Cv::corner_min_eigen_val(self.input_array, dest.output_array, block_size, ksize, border_type)
  dest
end

#corner_sub_pix(corners, win_size, zero_zone, criteria) ⇒ Object 



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# File 'lib/opencv-ruby/core/mat.rb', line 366

def corner_sub_pix(corners, win_size, zero_zone, criteria)
  Cv::corner_sub_pix(self.input_array, corners.input_output_array, win_size, zero_zone, criteria)
  corners
end

#count_non_zero ⇒ Object 



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# File 'lib/opencv-ruby/core/mat.rb', line 371

def count_non_zero
  Cv.count_non_zero(self.input_array)
end

#cvt_color(color_conversion_code, dst_cn: 0, hint: Cv::AlgorithmHint::ALGO_HINT_DEFAULT) ⇒ Object 



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# File 'lib/opencv-ruby/core/mat.rb', line 375

def cvt_color(color_conversion_code, dst_cn: 0, hint: Cv::AlgorithmHint::ALGO_HINT_DEFAULT)
  dest = self.class.new(self.rows, self.cols, self.type)
  Cv::cvt_color(self.input_array, dest.output_array, color_conversion_code, dst_cn, hint)
  dest
end

#determinant ⇒ Object 



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# File 'lib/opencv-ruby/core/mat.rb', line 381

def determinant
  Cv.determinant(self.input_array)
end

#dilate(kernel, anchor = Cv::Point.new(-1,-1), iterations = 1, border_type = Cv::BorderTypes::BORDER_CONSTANT, border_value = Cv::morphology_default_border_value) ⇒ Object 



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# File 'lib/opencv-ruby/core/mat.rb', line 385

def dilate(kernel, anchor = Cv::Point.new(-1,-1), iterations = 1,
           border_type = Cv::BorderTypes::BORDER_CONSTANT, border_value = Cv::morphology_default_border_value)
  dest = self.class.new(self.rows, self.cols, self.type)
  Cv::dilate(self.input_array, dest.output_array, kernel.input_array, anchor, iterations, border_type, border_value)
  dest
end

#draw_chessboard_corners(pattern_size, corners, pattern_was_found) ⇒ Object 



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# File 'lib/opencv-ruby/core/mat.rb', line 392

def draw_chessboard_corners(pattern_size, corners, pattern_was_found)
  Cv.draw_chessboard_corners(self.input_output_array, pattern_size, corners, pattern_was_found)
  self
end

#draw_contours(contours, contour_idx, color, thickness: 1, line_type: Cv::LineTypes::LINE_8, hierarchy: Cv::no_array, max_level: INT_MAX, offset: Cv::Point.new) ⇒ Object 



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# File 'lib/opencv-ruby/core/mat.rb', line 397

def draw_contours(contours, contour_idx, color, thickness: 1, line_type: Cv::LineTypes::LINE_8,
                  hierarchy: Cv::no_array, max_level: INT_MAX, offset: Cv::Point.new)
  contours_input = Cv::InputArray.new(contours)
  hierarchy_input = Cv::InputArray.new(hierarchy)
  Cv.draw_contours(self.input_output_array, contours_input, contour_idx, color, thickness, line_type,
                   hierarchy_input, max_level, offset)
end

#eigen ⇒ Object 



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# File 'lib/opencv-ruby/core/mat.rb', line 405

def eigen
  eigen_values = self.class.new
  eigen_vectors = self.class.new(self.cols, self.rows, self.type)
  Cv.eigen(self.input_array, eigen_values.output_array, eigen_vectors.output_array)
  [eigen_values, eigen_vectors]
end

#ellipse(center, axes, angle, start_angle, end_angle, color, thickness: 1, line_type: Cv::LineTypes::LINE_8, shift: 0) ⇒ Object 



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# File 'lib/opencv-ruby/core/mat.rb', line 673

def ellipse(center, axes, angle, start_angle, end_angle,
            color, thickness: 1, line_type: Cv::LineTypes::LINE_8, shift: 0)
  Cv::ellipse(self.input_output_array, center, axes, angle, start_angle, end_angle,
              color, thickness, line_type, shift)
  self
end

#ellipse_box(box, color, thickness: 1, line_type: Cv::LineTypes::LINE_8) ⇒ Object 



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# File 'lib/opencv-ruby/core/mat.rb', line 680

def ellipse_box(box, color, thickness: 1, line_type: Cv::LineTypes::LINE_8)
  Cv::ellipse(self.input_output_array, box, color, thickness, line_type)
  self
end

#eq(other) ⇒ Object 



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# File 'lib/opencv-ruby/core/mat.rb', line 251

def eq(other)
  compare(other, Cv::CmpTypes::CMP_EQ)
end

#eql?(other) ⇒ Boolean

Returns:

  • (Boolean) 


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# File 'lib/opencv-ruby/core/mat.rb', line 227

def eql?(other)
  return false if self.class != other.class
  return false if self.dims != other.dims
  return false if self.size != other.size
  return false if self.elem_size != other.elem_size
  return false if self.continuous? != other.continuous?

  # Ok compare contents. A Google search shows various ways to do this.
  # We will use the built in comparison operators.
  #
  # The Mat== operator compares element by element. If two elements meet the criteria,
  # in this case ==, then the returned value is 255 otherwise 0. See
  # https://docs.opencv.org/4.x/d1/d10/classcv_1_1MatExpr.html#details
  #
  # So if we check for inequality, then pixels that are the same would return 0 and ones
  # that are not the same would return 255. It is a lot easier to check the sum if it
  # adds up to zero, so we use inequality.
  # Also see https://stackoverflow.com/a/32440830

  expr = self != other
  result = expr.to_mat.sum
  result == Cv::Scalar.new(0, 0, 0, 0) ? true : false
end

#equalize_hist ⇒ Object 



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# File 'lib/opencv-ruby/core/mat.rb', line 412

def equalize_hist
  dest = self.class.new(self.cols, self.rows, self.type)
  Cv.equalize_hist(self.input_array, dest.output_array)
  dest
end

#erode(kernel, anchor: Cv::Point.new(-1,-1), iterations: 1, border_type: Cv::BorderTypes::BORDER_CONSTANT, border_value: Cv::morphology_default_border_value) ⇒ Object 



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# File 'lib/opencv-ruby/core/mat.rb', line 418

def erode(kernel, anchor: Cv::Point.new(-1,-1), iterations: 1,
          border_type: Cv::BorderTypes::BORDER_CONSTANT, border_value: Cv::morphology_default_border_value)
  dest = self.class.new(self.rows, self.cols, self.type)
  Cv::erode(self.input_array, dest.output_array, kernel.input_array, anchor, iterations, border_type, border_value)
  dest
end

#fill_convex_poly(pts, color, line_type: Cv::LineTypes::LINE_8, shift: 0) ⇒ Object 



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# File 'lib/opencv-ruby/core/mat.rb', line 685

def fill_convex_poly(pts, color, line_type: Cv::LineTypes::LINE_8, shift: 0)
  Cv::fill_convex_poly(self.input_output_array, pts, color, line_type, shift)
  self
end

#fill_poly(pts, color, line_type: Cv::LineTypes::LINE_8, shift: 0, offset: Cv::Point.new) ⇒ Object 



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# File 'lib/opencv-ruby/core/mat.rb', line 690

def fill_poly(pts, color, line_type: Cv::LineTypes::LINE_8, shift: 0, offset: Cv::Point.new)
  Cv::fill_poly(self.input_output_array, pts, color, line_type, shift, offset)
  self
end

#filter_2d(ddepth, kernel, anchor: Cv::Point.new(-1,-1), delta: 0, border_type: Cv::BorderTypes::BORDER_DEFAULT) ⇒ Object 



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# File 'lib/opencv-ruby/core/mat.rb', line 425

def filter_2d(ddepth, kernel, anchor: Cv::Point.new(-1,-1), delta: 0, border_type: Cv::BorderTypes::BORDER_DEFAULT)
  dest = self.class.new(self.rows, self.cols, self.type)
  Cv::filter_2d(self.input_array, dest.output_array, ddepth, kernel.input_array, anchor, delta, border_type)
  dest
end

#find_chessboard_corners(pattern_size, flags: Cv::CALIB_CB_ADAPTIVE_THRESH | Cv::CALIB_CB_NORMALIZE_IMAGE) ⇒ Object 



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# File 'lib/opencv-ruby/core/mat.rb', line 431

def find_chessboard_corners(pattern_size, flags: Cv::CALIB_CB_ADAPTIVE_THRESH | Cv::CALIB_CB_NORMALIZE_IMAGE)
  mat = Cv::Mat2f.new
  corners = Cv::OutputArray.new(mat)
  found = Cv::find_chessboard_corners(self.input_array, pattern_size, corners, flags)
  [mat, found]
end

#find_contours(mode, method, offset: Cv::Point.new) ⇒ Object 



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# File 'lib/opencv-ruby/core/mat.rb', line 438

def find_contours(mode, method, offset: Cv::Point.new)
  contours = Std::Vector

#flip(flip_code) ⇒ Object 



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# File 'lib/opencv-ruby/core/mat.rb', line 449

def flip(flip_code)
  dest = self.class.new(self.cols, self.rows, self.type)
  Cv.flip(self.input_array, dest.output_array, flip_code)
  dest
end

#flood_fill(mask, seed_point, new_val, lo_diff: Cv::Scalar.new, up_diff: Cv::Scalar.new, connectivity: 4, fill_value: 1, fill_flags: 0) ⇒ Object 



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# File 'lib/opencv-ruby/core/mat.rb', line 455

def flood_fill(mask, seed_point, new_val, lo_diff: Cv::Scalar.new, up_diff: Cv::Scalar.new,
               connectivity: 4, fill_value: 1, fill_flags: 0)
  rect = Cv::Rect.new
  flags = connectivity | (fill_value << 8) | fill_flags
  area = Cv::flood_fill(self.input_output_array, mask.input_output_array, seed_point, new_val,
                       rect, lo_diff, up_diff, flags)
  [area, rect]
end

#gaussian_blur(ksize, sigma_x, sigma_y: 0, border_type: Cv::BorderTypes::BORDER_DEFAULT, hint: Cv::AlgorithmHint::ALGO_HINT_DEFAULT) ⇒ Object 



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# File 'lib/opencv-ruby/core/mat.rb', line 464

def gaussian_blur(ksize, sigma_x, sigma_y: 0, border_type: Cv::BorderTypes::BORDER_DEFAULT, hint: Cv::AlgorithmHint::ALGO_HINT_DEFAULT)
  dest = self.class.new(self.rows, self.cols, self.type)
  Cv::gaussian_blur(self.input_array, dest.output_array, ksize, sigma_x, sigma_y, border_type, hint)
  dest
end

#ge(other) ⇒ Object 



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# File 'lib/opencv-ruby/core/mat.rb', line 259

def ge(other)
  compare(other, Cv::CmpTypes::CMP_GE)
end

#get_rect_sub_pix(patch_size, center, patch_type: -1)) ⇒ Object 



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# File 'lib/opencv-ruby/core/mat.rb', line 470

def get_rect_sub_pix(patch_size, center, patch_type: -1)
  patch = Cv::Mat.new
  Cv::get_rect_sub_pix(self.input_array, patch_size, center, patch.output_array, patch_type)
  patch
end

#good_features_to_track(max_corners, quality_level, min_distance, mask: nil, block_size: 3, use_harris_detector: false, k: 0.04) ⇒ Object 



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# File 'lib/opencv-ruby/core/mat.rb', line 476

def good_features_to_track(max_corners, quality_level, min_distance,
                           mask: nil, block_size: 3, use_harris_detector: false, k: 0.04)
  corners = Cv::Mat.new
  Cv::good_features_to_track(self.input_array, corners.output_array, max_corners, quality_level, min_distance,
                             mask ? mask.input_array : Cv::no_array, block_size, use_harris_detector, k)
  corners
end

#gt(other) ⇒ Object 



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# File 'lib/opencv-ruby/core/mat.rb', line 255

def gt(other)
  compare(other, Cv::CmpTypes::CMP_GT)
end

#hough_circles(method, dp, min_dist, param1: 100, param2: 100, min_radius: 0, max_radius: 0) ⇒ Object 



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# File 'lib/opencv-ruby/core/mat.rb', line 484

def hough_circles(method, dp, min_dist, param1: 100, param2: 100, min_radius: 0, max_radius: 0)
  result = Std::Vector

#hough_lines(rho, theta, threshold, srn: 0, stn: 0, min_theta: 0, max_theta: CV_PI, use_edgeval: false) ⇒ Object 



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# File 'lib/opencv-ruby/core/mat.rb', line 491

def hough_lines(rho, theta, threshold, srn: 0, stn: 0, min_theta: 0, max_theta: CV_PI, use_edgeval: false)
  result = Std::Vector

#in_range(lowerb, upperb) ⇒ Object 



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# File 'lib/opencv-ruby/core/mat.rb', line 504

def in_range(lowerb, upperb)
  dest = self.class.new(self.rows, self.cols, CV_8UC1)
  Cv::in_range(self.input_array, lowerb.input_array, upperb.input_array, dest.output_array)
  dest
end

#inpaint(mask, inpaint_radius, flags) ⇒ Object 



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# File 'lib/opencv-ruby/core/mat.rb', line 498

def inpaint(mask, inpaint_radius, flags)
  dest = self.class.new(self.rows, self.cols, self.type)
  Cv::inpaint(self.input_array, mask.input_array, dest.output_array, inpaint_radius, flags)
  dest
end

#integral(sdepth: -1,, sqdepth: -1)) ⇒ Object 



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# File 'lib/opencv-ruby/core/mat.rb', line 510

def integral(sdepth: -1, sqdepth: -1)
  sum = Cv::Mat.new
  sqsum = Cv::Mat.new
  tilted = Cv::Mat.new

  Cv::integral(self.input_array, sum.output_array, sqsum.output_array, tilted.output_array, sdepth, sqdepth)
  [sum, sqsum, tilted]
end

#invert(flags: Cv::DecompTypes::DECOMP_LU) ⇒ Object 



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# File 'lib/opencv-ruby/core/mat.rb', line 519

def invert(flags: Cv::DecompTypes::DECOMP_LU)
  dest = self.class.new(self.cols, self.rows, self.type)
  Cv.invert(self.input_array, dest.output_array, flags)
  dest
end

#le(other) ⇒ Object 



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# File 'lib/opencv-ruby/core/mat.rb', line 267

def le(other)
  compare(other, Cv::CmpTypes::CMP_LE)
end

#line(pt1, pt2, color, thickness: 1, line_type: Cv::LineTypes::LINE_8, shift: 0) ⇒ Object 



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# File 'lib/opencv-ruby/core/mat.rb', line 695

def line(pt1, pt2, color, thickness: 1, line_type: Cv::LineTypes::LINE_8, shift: 0)
  Cv::line(self.input_output_array, pt1, pt2, color, thickness, line_type, shift)
  self
end

#log_polar(center, m, flags) ⇒ Object 



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# File 'lib/opencv-ruby/core/mat.rb', line 525

def log_polar(center, m, flags)
  dest = self.class.new(self.rows, self.cols, self.type)
  Cv::log_polar(self.input_array, dest.output_array, center, m, flags)
  dest
end

#lt(other) ⇒ Object 



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# File 'lib/opencv-ruby/core/mat.rb', line 263

def lt(other)
  compare(other, Cv::CmpTypes::CMP_LT)
end

#lut(lut) ⇒ Object 



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# File 'lib/opencv-ruby/core/mat.rb', line 531

def lut(lut)
  dest = self.class.new(self.rows, self.cols, lut.type)
  Cv::lut(self.input_array, lut.input_array, dest.output_array)
  dest
end

#mat_klass ⇒ Object 



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# File 'lib/opencv-ruby/core/mat.rb', line 74

def mat_klass
  case self.type
    when CV_8UC1
      Cv::Mat1b
    when CV_8UC2
      Cv::Mat2b
    when CV_8UC3
      Cv::Mat3b
    when CV_8UC4
      Cv::Mat4b
    when CV_8SC1
      raise("CV_8SC1 has not corresponding Mat_ class")
    when CV_8SC2
      raise("CV_8SC2 has not corresponding Mat_ class")
    when CV_8SC3
      raise("CV_8SC3 has not corresponding Mat_ class")
    when CV_8SC4
      raise("CV_8SC4 has not corresponding Mat_ class")
    when CV_16UC1
      Cv::Mat1w
    when CV_16UC2
      Cv::Mat2w
    when CV_16UC3
      Cv::Mat3w
    when CV_16UC4
      Cv::Mat4w
    when CV_16SC1
      Cv::Mat1s
    when CV_16SC2
      Cv::Mat2s
    when CV_16SC3
      Cv::Mat3s
    when CV_16SC4
      Cv::Mat4s
    when CV_32SC1
      Cv::Mat1i
    when CV_32SC2
      Cv::Mat2i
    when CV_32SC3
      Cv::Mat3i
    when CV_32SC4
      Cv::Mat4i
    when CV_32FC1
      Cv::Mat1f
    when CV_32FC2
      Cv::Mat2f
    when CV_32FC3
      Cv::Mat3f
    when CV_32FC4
      Cv::Mat4f
    when CV_64FC1
      Cv::Mat1d
    when CV_64FC2
      Cv::Mat2d
    when CV_64FC3
      Cv::Mat3d
    when CV_64FC4
      Cv::Mat4d
    when CV_16FC1
      raise("CV_16FC1 has not corresponding Mat_ class")
    when CV_16FC2
      raise("CV_16FC2 has not corresponding Mat_ class")
    when CV_16FC3
      raise("CV_16FC3 has not corresponding Mat_ class")
    when CV_16FC4
      raise("CV_16FC4 has not corresponding Mat_ class")
    else
      raise("Uknown type: #{self.type}")
  end
end

#match_template(template, method, mask: Cv::no_array) ⇒ Object 



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# File 'lib/opencv-ruby/core/mat.rb', line 537

def match_template(template, method, mask: Cv::no_array)
  dest = Cv::Mat.new
  Cv::match_template(self.input_array, template.input_array, dest.output_array, method, mask = Cv::no_array)
  dest
end

#median_blur(ksize) ⇒ Object 



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# File 'lib/opencv-ruby/core/mat.rb', line 543

def median_blur(ksize)
  dest = self.class.new(self.rows, self.cols, self.type)
  Cv::median_blur(self.input_array, dest.output_array, ksize)
  dest
end

#min_max_loc(mask: nil) ⇒ Object 



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# File 'lib/opencv-ruby/core/mat.rb', line 549

def min_max_loc(mask: nil)
  Cv.min_max_loc(self.input_array, mask ? mask.input_array : Cv::no_array)
end

#morphology_ex(op, kernel, anchor: Cv::Point.new(-1,-1), iterations: 1, border_type: Cv::BorderTypes::BORDER_CONSTANT, border_value: Cv::morphology_default_border_value) ⇒ Object 



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# File 'lib/opencv-ruby/core/mat.rb', line 553

def morphology_ex(op, kernel, anchor: Cv::Point.new(-1,-1), iterations: 1,
                  border_type: Cv::BorderTypes::BORDER_CONSTANT, border_value: Cv::morphology_default_border_value)
  dest = self.class.new(self.rows, self.cols, self.type)
  Cv::morphology_ex(self.input_array, dest.output_array, op, kernel.input_array, anchor, iterations, border_type, border_value)
  dest
end

#mul_transposed(ata: true, delta: Cv::no_array, scale: 1, dtype: -1)) ⇒ Object 



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# File 'lib/opencv-ruby/core/mat.rb', line 560

def mul_transposed(ata: true, delta: Cv::no_array, scale: 1, dtype: -1)
  dest = self.class.new(self.rows, self.cols, self.type)
  Cv.mul_transposed(self.input_array, dest.output_array, ata, delta, scale, dtype)
  dest
end

#ne(other) ⇒ Object 



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# File 'lib/opencv-ruby/core/mat.rb', line 271

def ne(other)
  compare(other, Cv::CmpTypes::CMP_NE)
end

#normalize(alpha: 1, beta: 0, norm_type: Cv::NormTypes::NORM_L2, dtype: -1,, mask: nil) ⇒ Object 



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# File 'lib/opencv-ruby/core/mat.rb', line 566

def normalize(alpha: 1, beta: 0, norm_type: Cv::NormTypes::NORM_L2, dtype: -1, mask: nil)
  dest = self.class.new(self.rows, self.cols, self.type)
  Cv.normalize(self.input_array, dest.input_output_array, alpha, beta, norm_type, dtype, mask ? mask.input_array : Cv::no_array)
  dest
end

#perspective_transform(matrix) ⇒ Object 



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# File 'lib/opencv-ruby/core/mat.rb', line 572

def perspective_transform(matrix)
  dest = self.class.new(self.rows, self.cols, self.type)
  Cv.perspective_transform(self.input_array, dest.output_array, matrix.input_array)
  dest
end

#polylines(pts, is_closed, color, thickness: 1, line_type: Cv::LineTypes::LINE_8, shift: 0) ⇒ Object 



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# File 'lib/opencv-ruby/core/mat.rb', line 700

def polylines(pts, is_closed, color, thickness: 1, line_type: Cv::LineTypes::LINE_8, shift: 0)
  Cv::polylines(self.input_output_array, pts, is_closed, color, thickness, line_type, shift)
  self
end

#pre_corner_detect(ksize, border_type: Cv::BorderTypes::BORDER_DEFAULT) ⇒ Object 



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# File 'lib/opencv-ruby/core/mat.rb', line 578

def pre_corner_detect(ksize, border_type: Cv::BorderTypes::BORDER_DEFAULT)
  dest = self.class.new(self.rows, self.cols, self.type)
  Cv::pre_corner_detect(self.input_array, dest.output_array, ksize, border_type)
  dest
end

#put_text(text, org, font_face, font_scale, color, thickness: 1, line_type: Cv::LineTypes::LINE_8, bottom_left_origin: false) ⇒ Object 



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# File 'lib/opencv-ruby/core/mat.rb', line 705

def put_text(text, org, font_face, font_scale, color, thickness: 1, line_type: Cv::LineTypes::LINE_8, bottom_left_origin: false)
  Cv::put_text(self.input_output_array, text, org, font_face, font_scale, color, thickness, line_type, bottom_left_origin)
  self
end

#pyr_down(dstsize: Cv::Size.new(), border_type: Cv::BorderTypes::BORDER_DEFAULT) ⇒ Object 



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# File 'lib/opencv-ruby/core/mat.rb', line 584

def pyr_down(dstsize: Cv::Size.new(), border_type: Cv::BorderTypes::BORDER_DEFAULT)
  dest = self.class.new(dstsize, self.type)
  Cv::pyr_down(self.input_array, dest.output_array, dstsize, border_type)
  dest
end

#pyr_mean_shift_filtering(sp, sr, max_level: 1, termcrit: Cv::TermCriteria.new(Cv::TermCriteria::Type::MAX_ITER | Cv::TermCriteria::Type::EPS, 5, 1)) ⇒ Object 



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# File 'lib/opencv-ruby/core/mat.rb', line 590

def pyr_mean_shift_filtering(sp, sr, max_level: 1, termcrit: Cv::TermCriteria.new(Cv::TermCriteria::Type::MAX_ITER | Cv::TermCriteria::Type::EPS, 5, 1))
  dest = self.class.new(self.rows, self.cols, self.type)
  Cv::pyr_mean_shift_filtering(self.input_array, dest.output_array, sp, sr, max_level, termcrit)
  dest
end

#pyr_up(dstsize: Cv::Size.new(), border_type: Cv::BorderTypes::BORDER_DEFAULT) ⇒ Object 



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# File 'lib/opencv-ruby/core/mat.rb', line 596

def pyr_up(dstsize: Cv::Size.new(), border_type: Cv::BorderTypes::BORDER_DEFAULT)
  dest = self.class.new(dstsize, self.type)
  Cv::pyr_up(self.input_array, dest.output_array, dstsize, border_type)
  dest
end

#rand_shuffle(iter_factor: 1.0, rng: nil) ⇒ Object 



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# File 'lib/opencv-ruby/core/mat.rb', line 602

def rand_shuffle(iter_factor: 1.0, rng: nil)
      Cv::rand_shuffle(self.input_output_array, iter_factor, rng)
      self
end

#rectangle(rect: nil, pt1: nil, pt2: nil, color:, thickness: 1, line_type: Cv::LineTypes::LINE_8, shift: 0) ⇒ Object 



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# File 'lib/opencv-ruby/core/mat.rb', line 710

def rectangle(rect: nil, pt1: nil, pt2: nil, color:, thickness: 1, line_type: Cv::LineTypes::LINE_8, shift: 0)
  if rect.nil? && (pt1.nil? || pt2.nil?)
    raise("Must specify pt1 and pt2 or rect")
  elsif !rect.nil? && (!pt1.nil? && !pt2.nil?)
    raise("Must specify pt1 and pt2 or rect")
  end
  if rect.nil?
    Cv::rectangle(self.input_output_array, pt1, pt2, color, thickness, line_type, shift)
  else
    Cv::rectangle(self.input_output_array, rect, color, thickness, line_type, shift)
  end

  self
end

#remap(map1, map2, interpolation, border_mode: Cv::BorderTypes::BORDER_CONSTANT, border_value: Cv::Scalar.new) ⇒ Object 



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# File 'lib/opencv-ruby/core/mat.rb', line 607

def remap(map1, map2, interpolation, border_mode: Cv::BorderTypes::BORDER_CONSTANT, border_value: Cv::Scalar.new)
  dest = self.class.new(map1.rows, map1.cols, self.type)
  Cv::remap(self.input_array, dest.output_array,
            map1.input_array, map2.input_array,
            interpolation, border_mode, border_value)
  dest
end

#split ⇒ Object 



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# File 'lib/opencv-ruby/core/mat.rb', line 615

def split
  channels = Std::Vector

#sum ⇒ Object 



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# File 'lib/opencv-ruby/core/mat.rb', line 622

def sum
  Cv.sum(self.input_array)
end

#threshold(threshold, max_value, threshold_type) ⇒ Object 



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# File 'lib/opencv-ruby/core/mat.rb', line 626

def threshold(threshold, max_value, threshold_type)
  dest = self.class.new(self.rows, self.cols, self.type)
  computed = Cv::threshold(self.input_array, dest.output_array, threshold, max_value, threshold_type)
  [dest, computed]
end

#to_s ⇒ Object 



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# File 'lib/opencv-ruby/core/mat.rb', line 216

def to_s
  "<#{self.class.name}:#{self.rows}x#{self.cols},type=#{self.type_to_string},channel=#{self.channels}>"
end

#trace ⇒ Object 



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# File 'lib/opencv-ruby/core/mat.rb', line 632

def trace
  Cv.trace(self.input_array)
end

#transform(matrix) ⇒ Object 



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# File 'lib/opencv-ruby/core/mat.rb', line 636

def transform(matrix)
  dest = self.class.new(self.rows, self.cols, self.type)
  Cv.transform(self.input_array, dest.output_array, matrix.input_array)
  dest
end

#transpose ⇒ Object 



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# File 'lib/opencv-ruby/core/mat.rb', line 642

def transpose
  dest = self.class.new(self.rows, self.cols, self.type)
  Cv.transpose(self.input_array, dest.output_array)
  dest
end

#type_to_string ⇒ Object 



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# File 'lib/opencv-ruby/core/mat.rb', line 3

def type_to_string
  case self.type
    when CV_8UC1
      "CV_8UC1"
    when CV_8UC2
      "CV_8UC2"
    when CV_8UC3
      "CV_8UC3"
    when CV_8UC4
      "CV_8UC4"
    when CV_8SC1
      "CV_8SC1"
    when CV_8SC2
      "CV_8SC2"
    when CV_8SC3
      "CV_8SC3"
    when CV_8SC4
      "CV_8SC4"
    when CV_16UC1
      "CV_16UC1"
    when CV_16UC2
      "CV_16UC2"
    when CV_16UC3
      "CV_16UC3"
    when CV_16UC4
      "CV_16UC4"
    when CV_16SC1
      "CV_16SC1"
    when CV_16SC2
      "CV_16SC2"
    when CV_16SC3
      "CV_16SC3"
    when CV_16SC4
      "CV_16SC4"
    when CV_32SC1
      "CV_32SC1"
    when CV_32SC2
      "CV_32SC2"
    when CV_32SC3
      "CV_32SC3"
    when CV_32SC4
      "CV_32SC4"
    when CV_32FC1
      "CV_32FC1"
    when CV_32FC2
      "CV_32FC2"
    when CV_32FC3
      "CV_32FC3"
    when CV_32FC4
      "CV_32FC4"
    when CV_64FC1
      "CV_64FC1"
    when CV_64FC2
      "CV_64FC2"
    when CV_64FC3
      "CV_64FC3"
    when CV_64FC4
      "CV_64FC4"
    when CV_16FC1
      "CV_16FC1"
    when CV_16FC2
      "CV_16FC2"
    when CV_16FC3
      "CV_16FC3"
    when CV_16FC4
      "CV_16FC4"
    else
      raise("Uknown type: #{self.type}")
  end
end

#vec_klass ⇒ Object 



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# File 'lib/opencv-ruby/core/mat.rb', line 145

def vec_klass
  case self.type
    when CV_8UC1
      Cv::Vec1b
    when CV_8UC2
      Cv::Vec2b
    when CV_8UC3
      Cv::Vec3b
    when CV_8UC4
      Cv::Vec4b
    when CV_8SC1
      raise("CV_8SC1 has not corresponding Mat_ class")
    when CV_8SC2
      raise("CV_8SC2 has not corresponding Mat_ class")
    when CV_8SC3
      raise("CV_8SC3 has not corresponding Mat_ class")
    when CV_8SC4
      raise("CV_8SC4 has not corresponding Mat_ class")
    when CV_16UC1
      Cv::Vec1w
    when CV_16UC2
      Cv::Vec2w
    when CV_16UC3
      Cv::Vec3w
    when CV_16UC4
      Cv::Vec4w
    when CV_16SC1
      Cv::Vec1s
    when CV_16SC2
      Cv::Vec2s
    when CV_16SC3
      Cv::Vec3s
    when CV_16SC4
      Cv::Vec4s
    when CV_32SC1
      Cv::Vec1i
    when CV_32SC2
      Cv::Vec2i
    when CV_32SC3
      Cv::Vec3i
    when CV_32SC4
      Cv::Vec4i
    when CV_32FC1
      Cv::Vec1f
    when CV_32FC2
      Cv::Vec2f
    when CV_32FC3
      Cv::Vec3f
    when CV_32FC4
      Cv::Vec4f
    when CV_64FC1
      Cv::Vec1d
    when CV_64FC2
      Cv::Vec2d
    when CV_64FC3
      Cv::Vec3d
    when CV_64FC4
      Cv::Vec4d
    when CV_16FC1
      raise("CV_16FC1 has not corresponding Mat_ class")
    when CV_16FC2
      raise("CV_16FC2 has not corresponding Mat_ class")
    when CV_16FC3
      raise("CV_16FC3 has not corresponding Mat_ class")
    when CV_16FC4
      raise("CV_16FC4 has not corresponding Mat_ class")
    else
      raise("Uknown type: #{self.type}")
  end
end

#warp_affine(m, dsize, flags: Cv::InterpolationFlags::INTER_LINEAR, border_mode: Cv::BorderTypes::BORDER_CONSTANT, border_value: Cv::Scalar.new) ⇒ Object 



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# File 'lib/opencv-ruby/core/mat.rb', line 648

def warp_affine(m, dsize, flags: Cv::InterpolationFlags::INTER_LINEAR,
                border_mode: Cv::BorderTypes::BORDER_CONSTANT, border_value: Cv::Scalar.new)
  result = Cv::Mat.new
  Cv::warp_affine(self.input_array, result.output_array, m.input_array,
                  dsize, flags, border_mode, border_value)
  result
end

#warp_perspective(transformation, dsize, flags: Cv::InterpolationFlags::INTER_LINEAR, border_type: Cv::BorderTypes::BORDER_CONSTANT, border_value: Cv::Scalar.new) ⇒ Object 



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# File 'lib/opencv-ruby/core/mat.rb', line 656

def warp_perspective(transformation, dsize, flags: Cv::InterpolationFlags::INTER_LINEAR, border_type: Cv::BorderTypes::BORDER_CONSTANT, border_value: Cv::Scalar.new)
  dest = Cv::Mat.new
  Cv::warp_perspective(self.input_array, dest.output_array, transformation.input_array, dsize, flags, border_type, border_value)
  dest
end

#watershed(markers) ⇒ Object 



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# File 'lib/opencv-ruby/core/mat.rb', line 662

def watershed(markers)
  Cv::watershed(self.input_array, markers.input_output_array)
  markers
end