mirror of
https://github.com/ruby-opencv/ruby-opencv
synced 2023-03-27 23:22:12 -04:00
52 lines
1.5 KiB
Ruby
Executable file
52 lines
1.5 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__)) + '/test_opencv'
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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 < TestOpenCV
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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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def test_to_s
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[1, 4, 64, 512, 640].each { |w|
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[1, 4, 64, 480, 512].each { |h|
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[1, 2, 3, 4].each { |c|
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@depths.each { |d|
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expected_size = w * h * c * @depthsize[d]
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mat = CvMat.new(w, h, d, c)
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assert_equal(expected_size, mat.data.size)
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# img = IplImage.new(w, h, d, c)
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# expected_size += 4 - (expected_size % 4) unless (expected_size % 4) == 0
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# assert_equal(expected_size, img.data.to_s.size)
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}
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}
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}
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}
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end
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end
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