Added a basic unit test.

test/test_dnn.rb

@@ -0,0 +1,61 @@
+#!/usr/bin/env ruby
+# -*- mode: ruby; coding: utf-8 -*-
+require 'opencv'
+require File.expand_path(File.dirname(__FILE__)) + '/helper'
+
+include Cv
+
+class TestDnn < OpenCVTestCase
+  def test_read_net
+    c = Dnn.read_net(BVLC_GOOGLENET_PROTXT, BVLC_GOOGLENET_CAFFEMODEL)
+    assert_equal(Dnn::Net, c.class)
+
+    assert_raise(TypeError) {
+      Dnn.read_net(DUMMY_OBJ)
+    }
+  end
+
+  def test_read_net_from_caffe
+    c = Dnn.read_net_from_caffe(BVLC_GOOGLENET_PROTXT, BVLC_GOOGLENET_CAFFEMODEL)
+    assert_equal(Dnn::Net, c.class)
+  end
+
+  def test_blog_from_image
+    i = Cv.imread(FILENAME_GIRLS_PLAY_AND_PLANT_FLOWERS_IN_THE_PARK)
+    b = Dnn.blob_from_image(i, size: Cv::Size.new(224, 224))
+
+    assert_equal(Mat, b.class)
+    assert_equal(224, b.size(2))
+    assert_equal(224, b.size(3))
+  end
+
+  def test_net_initialize
+    c = Dnn::Net.new
+    assert_equal(Dnn::Net, c.class)
+
+    c = Dnn::Net.new(BVLC_GOOGLENET_PROTXT, BVLC_GOOGLENET_CAFFEMODEL)
+    assert_equal(Dnn::Net, c.class)
+
+    assert_raise(TypeError) {
+      Dnn::Net.new(DUMMY_OBJ)
+    }
+  end
+
+  def test_net_empty
+    c = Dnn::Net.new(BVLC_GOOGLENET_PROTXT, BVLC_GOOGLENET_CAFFEMODEL)
+    assert_equal(false, c.empty?)
+
+    c = Dnn::Net.new
+    assert_equal(true, c.empty?)
+  end
+
+  def test_net_forward
+    i = Cv.imread(FILENAME_GIRLS_PLAY_AND_PLANT_FLOWERS_IN_THE_PARK)
+
+    c = Dnn::Net.new(BVLC_GOOGLENET_PROTXT, BVLC_GOOGLENET_CAFFEMODEL)
+    c.input = Dnn.blob_from_image(i, size: Cv::Size.new(224, 224))
+    m = c.forward
+
+    assert_equal(Mat, m.class)
+  end
+end