test_canny.cpp 4.4 KB
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/*M///////////////////////////////////////////////////////////////////////////////////////
//
//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
//  By downloading, copying, installing or using the software you agree to this license.
//  If you do not agree to this license, do not download, install,
//  copy or use the software.
//
//
//                           License Agreement
//                For Open Source Computer Vision Library
//
// Copyright (C) 2010-2012, Multicoreware, Inc., all rights reserved.
// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// @Authors
//    Peng Xiao, pengxiao@multicorewareinc.com
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
//   * Redistribution's of source code must retain the above copyright notice,
//     this list of conditions and the following disclaimer.
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//   * Redistribution's in binary form must reproduce the above copyright notice,
//     this list of conditions and the following disclaimer in the documentation
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//   * The name of the copyright holders may not be used to endorse or promote products
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// This software is provided by the copyright holders and contributors as is and
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// In no event shall the Intel Corporation or contributors be liable for any direct,
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// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
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//M*/

#include "../test_precomp.hpp"
#include "opencv2/ts/ocl_test.hpp"

#ifdef HAVE_OPENCL

namespace cvtest {
namespace ocl {

////////////////////////////////////////////////////////
// Canny

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IMPLEMENT_PARAM_CLASS(AppertureSize, int)
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IMPLEMENT_PARAM_CLASS(L2gradient, bool)
IMPLEMENT_PARAM_CLASS(UseRoi, bool)

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PARAM_TEST_CASE(Canny, Channels, AppertureSize, L2gradient, UseRoi)
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{
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    int cn, apperture_size;
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    bool useL2gradient, use_roi;

    TEST_DECLARE_INPUT_PARAMETER(src);
    TEST_DECLARE_OUTPUT_PARAMETER(dst);

    virtual void SetUp()
    {
        cn = GET_PARAM(0);
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        apperture_size = GET_PARAM(1);
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        useL2gradient = GET_PARAM(2);
        use_roi = GET_PARAM(3);
    }

    void generateTestData()
    {
        Mat img = readImageType("shared/fruits.png", CV_8UC(cn));
        ASSERT_FALSE(img.empty()) << "cann't load shared/fruits.png";

        Size roiSize = img.size();
        int type = img.type();

        Border srcBorder = randomBorder(0, use_roi ? MAX_VALUE : 0);
        randomSubMat(src, src_roi, roiSize, srcBorder, type, 2, 100);
        img.copyTo(src_roi);

        Border dstBorder = randomBorder(0, use_roi ? MAX_VALUE : 0);
        randomSubMat(dst, dst_roi, roiSize, dstBorder, type, 5, 16);

        UMAT_UPLOAD_INPUT_PARAMETER(src);
        UMAT_UPLOAD_OUTPUT_PARAMETER(dst);
    }
};

OCL_TEST_P(Canny, Accuracy)
{
    generateTestData();

    const double low_thresh = 50.0, high_thresh = 100.0;
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    double eps = 1e-2;
#ifdef ANDROID
    if (cv::ocl::Device::getDefault().isNVidia())
        eps = 12e-3;
#endif
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    OCL_OFF(cv::Canny(src_roi, dst_roi, low_thresh, high_thresh, apperture_size, useL2gradient));
    OCL_ON(cv::Canny(usrc_roi, udst_roi, low_thresh, high_thresh, apperture_size, useL2gradient));
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    EXPECT_MAT_SIMILAR(dst_roi, udst_roi, eps);
    EXPECT_MAT_SIMILAR(dst, udst, eps);
}

OCL_INSTANTIATE_TEST_CASE_P(ImgProc, Canny, testing::Combine(
                                testing::Values(1, 3),
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                                testing::Values(AppertureSize(3), AppertureSize(5)),
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                                testing::Values(L2gradient(false), L2gradient(true)),
                                testing::Values(UseRoi(false), UseRoi(true))));

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} } // namespace cvtest::ocl
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#endif // HAVE_OPENCL