ruby-opencv/test/test_eigenfaces.rb

94 lines
2.1 KiB
Ruby
Executable File

#!/usr/bin/env ruby
# -*- mode: ruby; coding: utf-8-unix -*-
require 'test/unit'
require 'opencv'
require 'date'
require File.expand_path(File.dirname(__FILE__)) + '/helper'
include OpenCV
# Tests for OpenCV::EigenFaces
class TestEigenFaces < OpenCVTestCase
def setup
@eigenfaces = EigenFaces.new
@eigenfaces_trained = EigenFaces.new
@images = [CvMat.load(FILENAME_LENA256x256, CV_LOAD_IMAGE_GRAYSCALE)] * 2
@labels = [1, 2]
@eigenfaces_trained.train(@images, @labels)
end
def test_initialize
[EigenFaces.new, EigenFaces.new(1), EigenFaces.new(1, 99999)].each { |ef|
assert_equal(EigenFaces, ef.class)
}
assert_raise(TypeError) {
EigenFaces.new(DUMMY_OBJ)
}
assert_raise(TypeError) {
EigenFaces.new(1, DUMMY_OBJ)
}
end
def test_train
assert_nil(@eigenfaces.train(@images, @labels))
assert_raise(TypeError) {
@eigenfaces.train(DUMMY_OBJ, @labels)
}
assert_raise(TypeError) {
@eigenfaces.train(@images, DUMMY_OBJ)
}
end
def test_predict
predicted_label, predicted_confidence = @eigenfaces_trained.predict(@images[0])
assert_equal(@labels[0], predicted_label)
assert_in_delta(0.0, predicted_confidence, 0.01)
assert_raise(TypeError) {
@eigenfaces_trained.predict(DUMMY_OBJ)
}
end
def test_save
filename = "eigenfaces_save-#{DateTime.now.strftime('%Y%m%d%H%M%S')}.xml"
begin
@eigenfaces_trained.save(filename)
assert(File.exist? filename)
ensure
File.delete filename
end
assert_raise(TypeError) {
@eigenfaces_trained.save(DUMMY_OBJ)
}
end
def test_load
assert_nothing_raised {
@eigenfaces_trained.load('eigenfaces_save.xml')
}
assert_raise(TypeError) {
@eigenfaces_trained.load(DUMMY_OBJ)
}
end
def test_name
assert_equal('FaceRecognizer.Eigenfaces', @eigenfaces.name)
end
def test_get_mat
mat = @eigenfaces_trained.get_mat('eigenvalues')
assert_not_nil(mat)
assert_equal(CvMat, mat.class)
assert_raise(TypeError) {
@eigenfaces_trained.get_mat(DUMMY_OBJ)
}
end
end