#!/usr/bin/env ruby # -*- mode: ruby; coding: utf-8 -*- require 'test/unit' require 'digest/md5' require 'opencv' include OpenCV class OpenCVTestCase < Test::Unit::TestCase SAMPLE_DIR = File.expand_path(File.dirname(__FILE__)) + '/samples/' FILENAME_CAT = SAMPLE_DIR + 'cat.jpg' FILENAME_LENA256x256 = SAMPLE_DIR + 'lena-256x256.jpg' FILENAME_LENA32x32 = SAMPLE_DIR + 'lena-32x32.jpg' FILENAME_LENA_EYES = File.expand_path(File.dirname(__FILE__)) + '/samples/lena-eyes.jpg' FILENAME_FRUITS = SAMPLE_DIR + 'fruits.jpg' FILENAME_CONTOURS = File.expand_path(File.dirname(__FILE__)) + '/samples/contours.jpg' FILENAME_CHESSBOARD = SAMPLE_DIR + 'chessboard.jpg' HAARCASCADE_FRONTALFACE_ALT = SAMPLE_DIR + 'haarcascade_frontalface_alt.xml.gz' AVI_SAMPLE = SAMPLE_DIR + 'movie_sample.avi' DUMMY_OBJ = Digest::MD5.new # dummy object for argument type check test def snap(*images) n = -1 images.map! { |val| n += 1 if val.is_a? Hash val elsif val.is_a? Array {:title => val[0], :image => val[1] } else {:title => "snap-#{n}", :image => val } end } pos = CvPoint.new(0, 0) images.each { |img| w = GUI::Window.new(img[:title]) w.show(img[:image]) w.move(pos) pos.x += img[:image].width if pos.x > 800 pos.y += img[:image].height pos.x = 0 end } GUI::wait_key GUI::Window::destroy_all end def hash_img(img) # Compute a hash for an image, useful for image comparisons Digest::MD5.hexdigest(img.data) end unless Test::Unit::TestCase.instance_methods.map {|m| m.to_sym }.include? :assert_false def assert_false(actual, message = nil) assert_equal(false, actual, message) end end alias original_assert_in_delta assert_in_delta def assert_cvscalar_equal(expected, actual, message = nil) assert_equal(CvScalar, actual.class, message) assert_array_equal(expected.to_ary, actual.to_ary, message) end def assert_array_equal(expected, actual, message = nil) assert_equal(expected.size, actual.size, message) expected.zip(actual) { |e, a| assert_equal(e, a, message) } end def assert_in_delta(expected, actual, delta) if expected.is_a? CvScalar or actual.is_a? CvScalar expected = expected.to_ary if expected.is_a? CvScalar actual = actual.to_ary if actual.is_a? CvScalar assert_in_delta(expected, actual ,delta) elsif expected.is_a? Array and actual.is_a? Array assert_equal(expected.size, actual.size) expected.zip(actual) { |e, a| original_assert_in_delta(e, a, delta) } else original_assert_in_delta(expected, actual, delta) end end def create_cvmat(height, width, depth = :cv8u, channel = 4, &block) m = CvMat.new(height, width, depth, channel) block = lambda { |j, i, c| CvScalar.new(*([c + 1] * channel)) } unless block_given? count = 0 height.times { |j| width.times { |i| m[j, i] = block.call(j, i, count) count += 1 } } m end def create_iplimage(width, height, depth = :cv8u, channel = 4, &block) m = IplImage.new(width, height, depth, channel) block = lambda { |j, i, c| CvScalar.new(*([c + 1] * channel)) } unless block_given? count = 0 height.times { |j| width.times { |i| m[j, i] = block.call(j, i, count) count += 1 } } m end def assert_each_cvscalar(actual, delta = 0, &block) raise unless block_given? count = 0 actual.height.times { |j| actual.width.times { |i| expected = block.call(j, i, count) if delta == 0 expected = expected.to_ary if expected.is_a? CvScalar assert_array_equal(expected, actual[j, i].to_ary) else assert_in_delta(expected, actual[j, i], delta) end count += 1 } } end def print_cvmat(mat) s = [] mat.height.times { |j| a = [] mat.width.times { |i| tmp = mat[j, i].to_ary.map {|m| m.to_f.round(2) }.join(',') a << "[#{tmp}]" } s << a.join(' ') } puts s.join("\n") end def count_threshold(mat, threshold, &block) n = 0 block = lambda { |a, b| a > b } unless block_given? (mat.rows * mat.cols).times { |i| n += 1 if block.call(mat[i][0], threshold) } n end def color_hists(mat) hists = [0] * mat.channel (mat.rows * mat.cols).times { |i| hists.size.times { |c| hists[c] += mat[i][c] } } hists end end