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Open Source Computer Vision Library
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334 lines
12 KiB
334 lines
12 KiB
/*M/////////////////////////////////////////////////////////////////////////////////////// |
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// |
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. |
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// |
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// By downloading, copying, installing or using the software you agree to this license. |
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// If you do not agree to this license, do not download, install, |
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// copy or use the software. |
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// |
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// |
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// License Agreement |
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// For Open Source Computer Vision Library |
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// |
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// Copyright (C) 2000-2008, Intel Corporation, all rights reserved. |
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// Copyright (C) 2009, Willow Garage Inc., all rights reserved. |
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// Third party copyrights are property of their respective owners. |
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// |
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// Redistribution and use in source and binary forms, with or without modification, |
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// are permitted provided that the following conditions are met: |
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// |
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// * Redistribution's of source code must retain the above copyright notice, |
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// this list of conditions and the following disclaimer. |
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// |
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// * Redistribution's in binary form must reproduce the above copyright notice, |
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// this list of conditions and the following disclaimer in the documentation |
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// and/or other GpuMaterials provided with the distribution. |
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// |
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// * The name of the copyright holders may not be used to endorse or promote products |
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// derived from this software without specific prior written permission. |
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// |
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// This software is provided by the copyright holders and contributors "as is" and |
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// any express or bpied warranties, including, but not limited to, the bpied |
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// warranties of merchantability and fitness for a particular purpose are disclaimed. |
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// In no event shall the Intel Corporation or contributors be liable for any direct, |
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// indirect, incidental, special, exemplary, or consequential damages |
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// (including, but not limited to, procurement of substitute goods or services; |
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// loss of use, data, or profits; or business interruption) however caused |
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// and on any theory of liability, whether in contract, strict liability, |
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// or tort (including negligence or otherwise) arising in any way out of |
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// the use of this software, even if advised of the possibility of such damage. |
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// |
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//M*/ |
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#include "gputest.hpp" |
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#include <opencv2/opencv.hpp> |
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#include <opencv2/gpu/gpu.hpp> |
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#include <iostream> |
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#include <string> |
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#include <vector> |
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using namespace std; |
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using namespace cv; |
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//////////////////////////////////////////////////////////////////////////////// |
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// Merge |
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struct CV_MergeTest : public CvTest |
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{ |
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CV_MergeTest() : CvTest("GPU-Merge", "merge") {} |
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void can_merge(size_t rows, size_t cols); |
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void can_merge_submatrixes(size_t rows, size_t cols); |
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void run(int); |
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}; |
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void CV_MergeTest::can_merge(size_t rows, size_t cols) |
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{ |
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for (size_t num_channels = 1; num_channels <= 4; ++num_channels) |
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for (size_t depth = CV_8U; depth <= CV_64F; ++depth) |
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{ |
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vector<Mat> src; |
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for (size_t i = 0; i < num_channels; ++i) |
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src.push_back(Mat(rows, cols, depth, Scalar::all(static_cast<double>(i)))); |
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Mat dst(rows, cols, CV_MAKETYPE(depth, num_channels)); |
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cv::merge(src, dst); |
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vector<gpu::GpuMat> dev_src; |
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for (size_t i = 0; i < num_channels; ++i) |
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dev_src.push_back(gpu::GpuMat(src[i])); |
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gpu::GpuMat dev_dst(rows, cols, CV_MAKETYPE(depth, num_channels)); |
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cv::gpu::merge(dev_src, dev_dst); |
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Mat host_dst = dev_dst; |
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double err = norm(dst, host_dst, NORM_INF); |
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if (err > 1e-3) |
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{ |
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//ts->printf(CvTS::CONSOLE, "\nNorm: %f\n", err); |
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//ts->printf(CvTS::CONSOLE, "Depth: %d\n", depth); |
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//ts->printf(CvTS::CONSOLE, "Rows: %d\n", rows); |
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//ts->printf(CvTS::CONSOLE, "Cols: %d\n", cols); |
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//ts->printf(CvTS::CONSOLE, "NumChannels: %d\n", num_channels); |
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ts->set_failed_test_info(CvTS::FAIL_INVALID_OUTPUT); |
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return; |
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} |
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} |
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} |
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void CV_MergeTest::can_merge_submatrixes(size_t rows, size_t cols) |
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{ |
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for (size_t num_channels = 1; num_channels <= 4; ++num_channels) |
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for (size_t depth = CV_8U; depth <= CV_64F; ++depth) |
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{ |
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vector<Mat> src; |
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for (size_t i = 0; i < num_channels; ++i) |
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{ |
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Mat m(rows * 2, cols * 2, depth, Scalar::all(static_cast<double>(i))); |
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src.push_back(m(Range(rows / 2, rows / 2 + rows), Range(cols / 2, cols / 2 + cols))); |
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} |
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Mat dst(rows, cols, CV_MAKETYPE(depth, num_channels)); |
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cv::merge(src, dst); |
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vector<gpu::GpuMat> dev_src; |
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for (size_t i = 0; i < num_channels; ++i) |
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dev_src.push_back(gpu::GpuMat(src[i])); |
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gpu::GpuMat dev_dst(rows, cols, CV_MAKETYPE(depth, num_channels)); |
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cv::gpu::merge(dev_src, dev_dst); |
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Mat host_dst = dev_dst; |
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double err = norm(dst, host_dst, NORM_INF); |
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if (err > 1e-3) |
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{ |
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//ts->printf(CvTS::CONSOLE, "\nNorm: %f\n", err); |
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//ts->printf(CvTS::CONSOLE, "Depth: %d\n", depth); |
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//ts->printf(CvTS::CONSOLE, "Rows: %d\n", rows); |
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//ts->printf(CvTS::CONSOLE, "Cols: %d\n", cols); |
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//ts->printf(CvTS::CONSOLE, "NumChannels: %d\n", num_channels); |
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ts->set_failed_test_info(CvTS::FAIL_INVALID_OUTPUT); |
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return; |
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} |
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} |
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} |
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void CV_MergeTest::run(int) |
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{ |
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try |
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{ |
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can_merge(1, 1); |
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can_merge(1, 7); |
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can_merge(53, 7); |
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can_merge_submatrixes(1, 1); |
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can_merge_submatrixes(1, 7); |
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can_merge_submatrixes(53, 7); |
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} |
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catch(const cv::Exception& e) |
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{ |
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if (!check_and_treat_gpu_exception(e, ts)) |
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throw; |
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} |
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} |
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//////////////////////////////////////////////////////////////////////////////// |
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// Split |
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struct CV_SplitTest : public CvTest |
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{ |
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CV_SplitTest() : CvTest("GPU-Split", "split") {} |
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void can_split(size_t rows, size_t cols); |
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void can_split_submatrix(size_t rows, size_t cols); |
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void run(int); |
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}; |
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void CV_SplitTest::can_split(size_t rows, size_t cols) |
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{ |
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for (size_t num_channels = 1; num_channels <= 4; ++num_channels) |
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for (size_t depth = CV_8U; depth <= CV_64F; ++depth) |
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{ |
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Mat src(rows, cols, CV_MAKETYPE(depth, num_channels), Scalar(1.0, 2.0, 3.0, 4.0)); |
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vector<Mat> dst; |
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cv::split(src, dst); |
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gpu::GpuMat dev_src(src); |
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vector<gpu::GpuMat> dev_dst; |
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cv::gpu::split(dev_src, dev_dst); |
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if (dev_dst.size() != dst.size()) |
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{ |
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ts->printf(CvTS::CONSOLE, "Bad output sizes"); |
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ts->set_failed_test_info(CvTS::FAIL_INVALID_OUTPUT); |
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} |
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for (size_t i = 0; i < num_channels; ++i) |
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{ |
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Mat host_dst = dev_dst[i]; |
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double err = norm(dst[i], host_dst, NORM_INF); |
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if (err > 1e-3) |
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{ |
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//ts->printf(CvTS::CONSOLE, "\nNorm: %f\n", err); |
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//ts->printf(CvTS::CONSOLE, "Depth: %d\n", depth); |
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//ts->printf(CvTS::CONSOLE, "Rows: %d\n", rows); |
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//ts->printf(CvTS::CONSOLE, "Cols: %d\n", cols); |
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//ts->printf(CvTS::CONSOLE, "NumChannels: %d\n", num_channels); |
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ts->set_failed_test_info(CvTS::FAIL_INVALID_OUTPUT); |
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return; |
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} |
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} |
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} |
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} |
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void CV_SplitTest::can_split_submatrix(size_t rows, size_t cols) |
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{ |
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for (size_t num_channels = 1; num_channels <= 4; ++num_channels) |
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for (size_t depth = CV_8U; depth <= CV_64F; ++depth) |
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{ |
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Mat src_data(rows * 2, cols * 2, CV_MAKETYPE(depth, num_channels), Scalar(1.0, 2.0, 3.0, 4.0)); |
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Mat src(src_data(Range(rows / 2, rows / 2 + rows), Range(cols / 2, cols / 2 + cols))); |
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vector<Mat> dst; |
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cv::split(src, dst); |
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gpu::GpuMat dev_src(src); |
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vector<gpu::GpuMat> dev_dst; |
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cv::gpu::split(dev_src, dev_dst); |
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if (dev_dst.size() != dst.size()) |
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{ |
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ts->printf(CvTS::CONSOLE, "Bad output sizes"); |
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ts->set_failed_test_info(CvTS::FAIL_INVALID_OUTPUT); |
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} |
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for (size_t i = 0; i < num_channels; ++i) |
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{ |
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Mat host_dst = dev_dst[i]; |
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double err = norm(dst[i], host_dst, NORM_INF); |
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if (err > 1e-3) |
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{ |
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//ts->printf(CvTS::CONSOLE, "\nNorm: %f\n", err); |
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//ts->printf(CvTS::CONSOLE, "Depth: %d\n", depth); |
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//ts->printf(CvTS::CONSOLE, "Rows: %d\n", rows); |
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//ts->printf(CvTS::CONSOLE, "Cols: %d\n", cols); |
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//ts->printf(CvTS::CONSOLE, "NumChannels: %d\n", num_channels); |
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ts->set_failed_test_info(CvTS::FAIL_INVALID_OUTPUT); |
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return; |
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} |
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} |
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} |
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} |
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void CV_SplitTest::run(int) |
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{ |
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try |
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{ |
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can_split(1, 1); |
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can_split(1, 7); |
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can_split(7, 53); |
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can_split_submatrix(1, 1); |
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can_split_submatrix(1, 7); |
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can_split_submatrix(7, 53); |
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} |
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catch(const cv::Exception& e) |
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{ |
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if (!check_and_treat_gpu_exception(e, ts)) |
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throw; |
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} |
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} |
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//////////////////////////////////////////////////////////////////////////////// |
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// Split and merge |
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struct CV_SplitMergeTest : public CvTest |
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{ |
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CV_SplitMergeTest() : CvTest("GPU-SplitMerge", "split merge") {} |
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void can_split_merge(size_t rows, size_t cols); |
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void run(int); |
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}; |
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void CV_SplitMergeTest::can_split_merge(size_t rows, size_t cols) { |
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for (size_t num_channels = 1; num_channels <= 4; ++num_channels) |
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for (size_t depth = CV_8U; depth <= CV_64F; ++depth) |
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{ |
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Mat orig(rows, cols, CV_MAKETYPE(depth, num_channels), Scalar(1.0, 2.0, 3.0, 4.0)); |
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gpu::GpuMat dev_orig(orig); |
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vector<gpu::GpuMat> dev_vec; |
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cv::gpu::split(dev_orig, dev_vec); |
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gpu::GpuMat dev_final(rows, cols, CV_MAKETYPE(depth, num_channels)); |
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cv::gpu::merge(dev_vec, dev_final); |
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double err = cv::norm((Mat)dev_orig, (Mat)dev_final, NORM_INF); |
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if (err > 1e-3) |
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{ |
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//ts->printf(CvTS::CONSOLE, "\nNorm: %f\n", err); |
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//ts->printf(CvTS::CONSOLE, "Depth: %d\n", depth); |
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//ts->printf(CvTS::CONSOLE, "Rows: %d\n", rows); |
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//ts->printf(CvTS::CONSOLE, "Cols: %d\n", cols); |
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//ts->printf(CvTS::CONSOLE, "NumChannels: %d\n", num_channels); |
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ts->set_failed_test_info(CvTS::FAIL_INVALID_OUTPUT); |
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return; |
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} |
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} |
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} |
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void CV_SplitMergeTest::run(int) |
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{ |
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try |
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{ |
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can_split_merge(1, 1); |
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can_split_merge(1, 7); |
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can_split_merge(7, 53); |
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} |
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catch(const cv::Exception& e) |
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{ |
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if (!check_and_treat_gpu_exception(e, ts)) |
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throw; |
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} |
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} |
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///////////////////////////////////////////////////////////////////////////// |
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/////////////////// tests registration ///////////////////////////////////// |
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///////////////////////////////////////////////////////////////////////////// |
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// If we comment some tests, we may foget/miss to uncomment it after. |
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// Placing all test definitions in one place |
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// makes us know about what tests are commented. |
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CV_SplitTest split_test; |
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CV_MergeTest merge_test; |
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CV_SplitMergeTest split_merge_test;
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