mirror of
https://github.com/ruby-opencv/ruby-opencv
synced 2023-03-27 23:22:12 -04:00
144 lines
4.5 KiB
Ruby
Executable file
144 lines
4.5 KiB
Ruby
Executable file
#!/usr/bin/env ruby
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# -*- mode: ruby; coding: utf-8-unix -*-
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require 'test/unit'
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require 'digest/md5'
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require 'opencv'
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require File.expand_path(File.dirname(__FILE__)) + '/helper'
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include OpenCV
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# Tests to run first; check the handful of basic operations that the later tests rely on
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class TestPreliminary < OpenCVTestCase
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def test_assert_array_equal
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assert_array_equal([1, 2, 3, 4], [1, 2, 3, 4])
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# Uncomment the following line to check the fail case
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# assert_array_equal([1, 2, 3, 4], [1, 2, 3, 0])
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end
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def test_assert_cvscalar_equal
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assert_cvscalar_equal(CvScalar.new(1, 2, 3, 4), CvScalar.new(1, 2, 3, 4))
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assert_cvscalar_equal(CvScalar.new(0.1, 0.2, 0.3, 0.4), CvScalar.new(0.1, 0.2, 0.3, 0.4))
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# Uncomment the following lines to check the fail cases
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# assert_cvscalar_equal(CvScalar.new(1, 2, 3, 4), CvScalar.new(1, 2, 3, 0))
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# assert_cvscalar_equal(CvScalar.new(0.1, 0.2, 0.3, 0.4), CvScalar.new(0.1, 0.2, 0.3, 0.0))
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end
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def test_assert_in_delta
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assert_in_delta(1, 0.9999, 0.1)
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assert_in_delta(CvScalar.new(1, 2, 3, 4), CvScalar.new(1.01, 2.01, 3.01, 4.01), 0.1)
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assert_in_delta(CvScalar.new(1, 2, 3, 4), [1.01, 2.01, 3.01, 4.01], 0.1)
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assert_in_delta([1, 2, 3, 4], CvScalar.new(1.01, 2.01, 3.01, 4.01), 0.1)
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assert_in_delta([1, 2, 3, 4], [1.01, 2.01, 3.01, 4.01], 0.1)
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# Uncomment the following lines to check the fail cases
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# assert_in_delta(1, 0.009, 0.1)
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# assert_in_delta(CvScalar.new(1, 2, 3, 4), CvScalar.new(1.01, 2.01, 3.01, 4.01), 0.001)
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# assert_in_delta(CvScalar.new(1, 2, 3, 4), [1.01, 2.01, 3.01, 4.01], 0.001)
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# assert_in_delta([1, 2, 3, 4], CvScalar.new(1.01, 2.01, 3.01, 4.01), 0.001)
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# assert_in_delta([1, 2, 3, 4], [1.01, 2.01, 3.01, 4.01], 0.001)
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end
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def test_assert_each_cvscalar
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mat1 = CvMat.new(5, 5, :cv32f, 4)
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mat2 = CvMat.new(5, 5, :cv32f, 4)
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c = 0
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mat1.height.times { |j|
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mat1.width.times { |i|
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mat1[j, i] = CvScalar.new(c * 0.1, c * 0.2, c * 0.3, c * 0.4)
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mat2[j, i] = CvScalar.new(c, c, c, c)
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c += 1
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}
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}
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assert_each_cvscalar(mat1, 0.001) { |j, i, n|
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CvScalar.new(n * 0.1, n * 0.2, n * 0.3, n * 0.4)
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}
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assert_each_cvscalar(mat2) { |j, i, n|
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CvScalar.new(n, n, n, n)
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}
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# Uncomment the following lines to check the fail cases
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# assert_each_cvscalar(mat1, 0.001) { |j, i, n|
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# CvScalar.new(n * 0.1, n * 0.2, n * 0.3, 0)
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# }
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# assert_each_cvscalar(mat1, 0.001) { |j, i, n|
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# CvScalar.new(1, 2, 3, 4)
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# }
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# assert_each_cvscalar(mat2) { |j, i, n|
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# CvScalar.new(n * 0.1, n * 0.2, n * 0.3, 0)
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# }
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# assert_each_cvscalar(mat2) { |j, i, n|
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# CvScalar.new(1, 2, 3, 0)
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# }
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end
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def test_create_cvmat
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mat = create_cvmat(3, 4)
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assert_equal(3, mat.height)
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assert_equal(4, mat.width)
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assert_equal(:cv8u, mat.depth)
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assert_equal(4, mat.channel)
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c = 0
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mat.height.times { |j|
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mat.width.times { |i|
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s = CvScalar.new(c + 1, c + 1, c + 1, c + 1)
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assert_cvscalar_equal(s, mat[j, i])
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c += 1
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}
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}
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mat = create_cvmat(2, 3, :cv16s, 2)
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assert_equal(2, mat.height)
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assert_equal(3, mat.width)
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assert_equal(:cv16s, mat.depth)
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assert_equal(2, mat.channel)
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c = 0
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mat.height.times { |j|
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mat.width.times { |i|
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s = CvScalar.new(c + 1, c + 1, 0, 0)
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assert_cvscalar_equal(s, mat[j, i])
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c += 1
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}
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}
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mat = create_cvmat(2, 3, :cv16u, 3) { |j, i, c|
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n = j + i + c
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CvScalar.new(n, n, n, 0)
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}
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assert_equal(2, mat.height)
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assert_equal(3, mat.width)
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assert_equal(:cv16u, mat.depth)
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assert_equal(3, mat.channel)
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c = 0
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mat.height.times { |j|
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mat.width.times { |i|
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n = j + i + c
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assert_cvscalar_equal(CvScalar.new(n, n, n, 0), mat[j, i])
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c += 1
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}
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}
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end
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def test_lena
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# Check that the lena jpg image has loaded correctly
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img = get_sample('lena.jpg', false)
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# snap(img) # uncomment this line to view the image, when regilding
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assert_equal('2980cef5ac9bc061a5ab3f04775f3cf0', hash_img(img))
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end
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def test_load
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assert_raise(ArgumentError) { IplImage::load }
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assert_raise(TypeError) { IplImage::load(4) }
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assert_raise(ArgumentError) { IplImage::load('foo.jpg', 1, 1) }
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assert_raise(StandardError) { IplImage::load('foo.jpg', 'foobar') }
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end
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def test_types
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assert_equal(IplImage.new(7, 5, CV_8U, 1).class, IplImage)
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assert_equal(CvMat.new(5, 7, CV_32F).class, CvMat)
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end
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end
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