Open Source Computer Vision Library https://opencv.org/
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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.
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//
// 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:
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// * Redistribution's of source code must retain the above copyright notice,
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// * Redistribution's in binary form must reproduce the above copyright notice,
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#include "../test_precomp.hpp"
#include "opencv2/ts/ocl_test.hpp"
#ifdef HAVE_OPENCL
namespace opencv_test {
namespace ocl {
////////////////////////////////////////////////////////
// Canny
IMPLEMENT_PARAM_CLASS(ApertureSize, int)
IMPLEMENT_PARAM_CLASS(L2gradient, bool)
IMPLEMENT_PARAM_CLASS(UseRoi, bool)
PARAM_TEST_CASE(Canny, Channels, ApertureSize, L2gradient, UseRoi)
{
int cn, aperture_size;
bool useL2gradient, use_roi;
TEST_DECLARE_INPUT_PARAMETER(src);
TEST_DECLARE_OUTPUT_PARAMETER(dst);
virtual void SetUp()
{
cn = GET_PARAM(0);
aperture_size = GET_PARAM(1);
useL2gradient = GET_PARAM(2);
use_roi = GET_PARAM(3);
}
void generateTestData()
{
Mat img = readImageType("shared/fruits.png", CV_8UC(cn));
ASSERT_FALSE(img.empty()) << "can'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;
double eps = 0.03;
OCL_OFF(cv::Canny(src_roi, dst_roi, low_thresh, high_thresh, aperture_size, useL2gradient));
OCL_ON(cv::Canny(usrc_roi, udst_roi, low_thresh, high_thresh, aperture_size, useL2gradient));
EXPECT_MAT_SIMILAR(dst_roi, udst_roi, eps);
EXPECT_MAT_SIMILAR(dst, udst, eps);
}
OCL_TEST_P(Canny, AccuracyCustomGradient)
{
generateTestData();
const double low_thresh = 50.0, high_thresh = 100.0;
double eps = 0.03;
OCL_OFF(cv::Canny(src_roi, dst_roi, low_thresh, high_thresh, aperture_size, useL2gradient));
OCL_ON(
UMat dx, dy;
Sobel(usrc_roi, dx, CV_16S, 1, 0, aperture_size, 1, 0, BORDER_REPLICATE);
Sobel(usrc_roi, dy, CV_16S, 0, 1, aperture_size, 1, 0, BORDER_REPLICATE);
cv::Canny(dx, dy, udst_roi, low_thresh, high_thresh, useL2gradient);
);
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),
testing::Values(ApertureSize(3), ApertureSize(5)),
testing::Values(L2gradient(false), L2gradient(true)),
testing::Values(UseRoi(false), UseRoi(true))));
} // namespace ocl
} // namespace opencv_test
#endif // HAVE_OPENCL