mirror of https://github.com/opencv/opencv.git
Open Source Computer Vision Library
https://opencv.org/
You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
108 lines
4.2 KiB
108 lines
4.2 KiB
/*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. |
|
// |
|
// * Redistribution's in binary form must reproduce the above copyright notice, |
|
// this list of conditions and the following disclaimer in the documentation |
|
// and/or other oclMaterials provided with the distribution. |
|
// |
|
// * The name of the copyright holders may not be used to endorse or promote products |
|
// derived from this software without specific prior written permission. |
|
// |
|
// This software is provided by the copyright holders and contributors as is and |
|
// any express or implied warranties, including, but not limited to, the implied |
|
// warranties of merchantability and fitness for a particular purpose are disclaimed. |
|
// In no event shall the Intel Corporation or contributors be liable for any direct, |
|
// indirect, incidental, special, exemplary, or consequential damages |
|
// (including, but not limited to, procurement of substitute goods or services; |
|
// loss of use, data, or profits; or business interruption) however caused |
|
// and on any theory of liability, whether in contract, strict liability, |
|
// or tort (including negligence or otherwise) arising in any way out of |
|
// the use of this software, even if advised of the possibility of such damage. |
|
// |
|
//M*/ |
|
|
|
#include "precomp.hpp" |
|
|
|
#define FILTER_IMAGE "../../../samples/gpu/road.png" |
|
#define SHOW_RESULT 0 |
|
|
|
//////////////////////////////////////////////////////// |
|
// Canny |
|
|
|
IMPLEMENT_PARAM_CLASS(AppertureSize, int); |
|
IMPLEMENT_PARAM_CLASS(L2gradient, bool); |
|
|
|
PARAM_TEST_CASE(Canny, AppertureSize, L2gradient) |
|
{ |
|
int apperture_size; |
|
bool useL2gradient; |
|
|
|
cv::Mat edges_gold; |
|
//std::vector<cv::ocl::Info> oclinfo; |
|
virtual void SetUp() |
|
{ |
|
apperture_size = GET_PARAM(0); |
|
useL2gradient = GET_PARAM(1); |
|
//int devnums = getDevice(oclinfo); |
|
//CV_Assert(devnums > 0); |
|
} |
|
}; |
|
|
|
TEST_P(Canny, Accuracy) |
|
{ |
|
cv::Mat img = readImage(FILTER_IMAGE, cv::IMREAD_GRAYSCALE); |
|
ASSERT_FALSE(img.empty()); |
|
|
|
double low_thresh = 50.0; |
|
double high_thresh = 100.0; |
|
|
|
cv::resize(img, img, cv::Size(512, 384)); |
|
cv::ocl::oclMat ocl_img = cv::ocl::oclMat(img); |
|
|
|
cv::ocl::oclMat edges; |
|
cv::ocl::Canny(ocl_img, edges, low_thresh, high_thresh, apperture_size, useL2gradient); |
|
|
|
char filename [100]; |
|
sprintf(filename, "G:/Valve_edges_a%d_L2Grad%d.jpg", apperture_size, (int)useL2gradient); |
|
|
|
cv::Mat edges_gold; |
|
cv::Canny(img, edges_gold, low_thresh, high_thresh, apperture_size, useL2gradient); |
|
|
|
#if SHOW_RESULT |
|
cv::Mat edges_x2, ocl_edges(edges); |
|
edges_x2.create(edges.rows, edges.cols * 2, edges.type()); |
|
edges_x2.setTo(0); |
|
cv::add(edges_gold,cv::Mat(edges_x2,cv::Rect(0,0,edges_gold.cols,edges_gold.rows)), cv::Mat(edges_x2,cv::Rect(0,0,edges_gold.cols,edges_gold.rows))); |
|
cv::add(ocl_edges,cv::Mat(edges_x2,cv::Rect(edges_gold.cols,0,edges_gold.cols,edges_gold.rows)), cv::Mat(edges_x2,cv::Rect(edges_gold.cols,0,edges_gold.cols,edges_gold.rows))); |
|
cv::namedWindow("Canny result (left: cpu, right: ocl)"); |
|
cv::imshow("Canny result (left: cpu, right: ocl)", edges_x2); |
|
cv::waitKey(); |
|
#endif //OUTPUT_RESULT |
|
EXPECT_MAT_SIMILAR(edges_gold, edges, 1e-2); |
|
} |
|
|
|
INSTANTIATE_TEST_CASE_P(GPU_ImgProc, Canny, testing::Combine( |
|
testing::Values(AppertureSize(3), AppertureSize(5)), |
|
testing::Values(L2gradient(false), L2gradient(true))));
|
|
|