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Open Source Computer Vision Library
https://opencv.org/
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296 lines
13 KiB
296 lines
13 KiB
14 years ago
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/*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 "test_precomp.hpp"
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#include <string>
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#include <iostream>
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//#define SHOW_TIME
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#ifdef SHOW_TIME
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#include <ctime>
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#define F(x) x
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#else
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#define F(x)
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#endif
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using namespace cv;
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using namespace std;
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struct CV_GpuMatchTemplateTest: cvtest::BaseTest
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{
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CV_GpuMatchTemplateTest() {}
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void run(int)
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{
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bool double_ok = gpu::TargetArchs::builtWith(gpu::NATIVE_DOUBLE) &&
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gpu::DeviceInfo().supports(gpu::NATIVE_DOUBLE);
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if (!double_ok)
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{
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// For sqrIntegral
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ts->printf(cvtest::TS::CONSOLE, "\nCode and device double support is required (CC >= 1.3)");
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ts->set_failed_test_info(cvtest::TS::FAIL_GENERIC);
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return;
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}
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Mat image, templ;
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Mat dst_gold;
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gpu::GpuMat dst;
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int n, m, h, w;
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F(clock_t t;)
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RNG& rng = ts->get_rng();
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for (int cn = 1; cn <= 4; ++cn)
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{
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F(ts->printf(cvtest::TS::CONSOLE, "cn: %d\n", cn);)
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for (int i = 0; i <= 0; ++i)
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{
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n = rng.uniform(30, 100);
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m = rng.uniform(30, 100);
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h = rng.uniform(5, n - 1);
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w = rng.uniform(5, m - 1);
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gen(image, n, m, CV_8U, cn);
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gen(templ, h, w, CV_8U, cn);
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F(t = clock();)
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matchTemplate(image, templ, dst_gold, CV_TM_SQDIFF);
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F(cout << "depth: 8U cn: " << cn << " n: " << n << " m: " << m << " w: " << w << " h: " << h << endl;)
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F(cout << "cpu:" << clock() - t << endl;)
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F(t = clock();)
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gpu::matchTemplate(gpu::GpuMat(image), gpu::GpuMat(templ), dst, CV_TM_SQDIFF);
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F(cout << "gpu_block: " << clock() - t << endl;)
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if (!check(dst_gold, Mat(dst), 5 * h * w * 1e-4f, "SQDIFF 8U")) return;
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gen(image, n, m, CV_8U, cn);
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gen(templ, h, w, CV_8U, cn);
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F(t = clock();)
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matchTemplate(image, templ, dst_gold, CV_TM_SQDIFF_NORMED);
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F(cout << "depth: 8U cn: " << cn << " n: " << n << " m: " << m << " w: " << w << " h: " << h << endl;)
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F(cout << "cpu:" << clock() - t << endl;)
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F(t = clock();)
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gpu::matchTemplate(gpu::GpuMat(image), gpu::GpuMat(templ), dst, CV_TM_SQDIFF_NORMED);
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F(cout << "gpu_block: " << clock() - t << endl;)
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if (!check(dst_gold, Mat(dst), h * w * 1e-5f, "SQDIFF_NOREMD 8U")) return;
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gen(image, n, m, CV_8U, cn);
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gen(templ, h, w, CV_8U, cn);
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F(t = clock();)
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matchTemplate(image, templ, dst_gold, CV_TM_CCORR);
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F(cout << "depth: 8U cn: " << cn << " n: " << n << " m: " << m << " w: " << w << " h: " << h << endl;)
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F(cout << "cpu:" << clock() - t << endl;)
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F(t = clock();)
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gpu::matchTemplate(gpu::GpuMat(image), gpu::GpuMat(templ), dst, CV_TM_CCORR);
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F(cout << "gpu_block: " << clock() - t << endl;)
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if (!check(dst_gold, Mat(dst), 5 * h * w * cn * cn * 1e-5f, "CCORR 8U")) return;
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gen(image, n, m, CV_8U, cn);
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gen(templ, h, w, CV_8U, cn);
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F(t = clock();)
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matchTemplate(image, templ, dst_gold, CV_TM_CCORR_NORMED);
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F(cout << "depth: 8U cn: " << cn << " n: " << n << " m: " << m << " w: " << w << " h: " << h << endl;)
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F(cout << "cpu:" << clock() - t << endl;)
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F(t = clock();)
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gpu::matchTemplate(gpu::GpuMat(image), gpu::GpuMat(templ), dst, CV_TM_CCORR_NORMED);
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F(cout << "gpu_block: " << clock() - t << endl;)
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if (!check(dst_gold, Mat(dst), h * w * 1e-6f, "CCORR_NORMED 8U")) return;
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gen(image, n, m, CV_8U, cn);
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gen(templ, h, w, CV_8U, cn);
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F(t = clock();)
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matchTemplate(image, templ, dst_gold, CV_TM_CCOEFF);
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F(cout << "depth: 8U cn: " << cn << " n: " << n << " m: " << m << " w: " << w << " h: " << h << endl;)
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F(cout << "cpu:" << clock() - t << endl;)
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F(t = clock();)
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gpu::matchTemplate(gpu::GpuMat(image), gpu::GpuMat(templ), dst, CV_TM_CCOEFF);
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F(cout << "gpu_block: " << clock() - t << endl;)
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if (!check(dst_gold, Mat(dst), 5 * h * w * cn * cn * 1e-5f, "CCOEFF 8U")) return;
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gen(image, n, m, CV_8U, cn);
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gen(templ, h, w, CV_8U, cn);
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F(t = clock();)
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matchTemplate(image, templ, dst_gold, CV_TM_CCOEFF_NORMED);
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F(cout << "depth: 8U cn: " << cn << " n: " << n << " m: " << m << " w: " << w << " h: " << h << endl;)
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F(cout << "cpu:" << clock() - t << endl;)
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F(t = clock();)
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gpu::matchTemplate(gpu::GpuMat(image), gpu::GpuMat(templ), dst, CV_TM_CCOEFF_NORMED);
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F(cout << "gpu_block: " << clock() - t << endl;)
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if (!check(dst_gold, Mat(dst), h * w * 1e-6f, "CCOEFF_NORMED 8U")) return;
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gen(image, n, m, CV_32F, cn);
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gen(templ, h, w, CV_32F, cn);
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F(t = clock();)
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matchTemplate(image, templ, dst_gold, CV_TM_SQDIFF);
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F(cout << "depth: 32F cn: " << cn << " n: " << n << " m: " << m << " w: " << w << " h: " << h << endl;)
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F(cout << "cpu:" << clock() - t << endl;)
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F(t = clock();)
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gpu::matchTemplate(gpu::GpuMat(image), gpu::GpuMat(templ), dst, CV_TM_SQDIFF);
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F(cout << "gpu_block: " << clock() - t << endl;)
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if (!check(dst_gold, Mat(dst), 0.25f * h * w * 1e-5f, "SQDIFF 32F")) return;
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gen(image, n, m, CV_32F, cn);
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gen(templ, h, w, CV_32F, cn);
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F(t = clock();)
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matchTemplate(image, templ, dst_gold, CV_TM_CCORR);
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F(cout << "depth: 32F cn: " << cn << " n: " << n << " m: " << m << " w: " << w << " h: " << h << endl;)
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F(cout << "cpu:" << clock() - t << endl;)
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F(t = clock();)
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gpu::matchTemplate(gpu::GpuMat(image), gpu::GpuMat(templ), dst, CV_TM_CCORR);
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F(cout << "gpu_block: " << clock() - t << endl;)
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if (!check(dst_gold, Mat(dst), 0.25f * h * w * 1e-5f, "CCORR 32F")) return;
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}
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}
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}
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void gen(Mat& a, int rows, int cols, int depth, int cn)
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{
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RNG rng;
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a.create(rows, cols, CV_MAKETYPE(depth, cn));
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if (depth == CV_8U)
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rng.fill(a, RNG::UNIFORM, Scalar::all(1), Scalar::all(10));
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else if (depth == CV_32F)
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rng.fill(a, RNG::UNIFORM, Scalar::all(0.001f), Scalar::all(1.f));
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}
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bool check(const Mat& a, const Mat& b, float max_err, const string& method="")
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{
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if (a.size() != b.size())
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{
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ts->printf(cvtest::TS::CONSOLE, "bad size, method=%s\n", method.c_str());
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ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_OUTPUT);
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return false;
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}
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//for (int i = 0; i < a.rows; ++i)
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//{
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// for (int j = 0; j < a.cols; ++j)
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// {
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// float a_ = a.at<float>(i, j);
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// float b_ = b.at<float>(i, j);
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// if (fabs(a_ - b_) > max_err)
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// {
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// ts->printf(cvtest::TS::CONSOLE, "a=%f, b=%f, i=%d, j=%d\n", a_, b_, i, j);
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// cin.get();
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// }
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// }
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//}
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float err = (float)norm(a, b, NORM_INF);
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if (err > max_err)
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{
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ts->printf(cvtest::TS::CONSOLE, "bad accuracy: %f, method=%s\n", err, method.c_str());
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ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_OUTPUT);
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return false;
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}
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return true;
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}
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};
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TEST(matchTemplate, accuracy) { CV_GpuMatchTemplateTest test; test.safe_run(); }
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struct CV_GpuMatchTemplateFindPatternInBlackTest: cvtest::BaseTest
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{
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CV_GpuMatchTemplateFindPatternInBlackTest() {}
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void run(int)
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{
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bool double_ok = gpu::TargetArchs::builtWith(gpu::NATIVE_DOUBLE) &&
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gpu::DeviceInfo().supports(gpu::NATIVE_DOUBLE);
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if (!double_ok)
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{
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// For sqrIntegral
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ts->printf(cvtest::TS::CONSOLE, "\nCode and device double support is required (CC >= 1.3)");
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ts->set_failed_test_info(cvtest::TS::FAIL_GENERIC);
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return;
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}
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Mat image = imread(std::string(ts->get_data_path()) + "matchtemplate/black.png");
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if (image.empty())
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{
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ts->printf(cvtest::TS::CONSOLE, "can't open file '%s'", (std::string(ts->get_data_path())
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+ "matchtemplate/black.png").c_str());
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ts->set_failed_test_info(cvtest::TS::FAIL_MISSING_TEST_DATA);
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return;
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}
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Mat pattern = imread(std::string(ts->get_data_path()) + "matchtemplate/cat.png");
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if (pattern.empty())
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{
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ts->printf(cvtest::TS::CONSOLE, "can't open file '%s'", (std::string(ts->get_data_path())
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+ "matchtemplate/cat.png").c_str());
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ts->set_failed_test_info(cvtest::TS::FAIL_MISSING_TEST_DATA);
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return;
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}
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gpu::GpuMat d_image(image);
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gpu::GpuMat d_pattern(pattern);
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gpu::GpuMat d_result;
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double maxValue;
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Point maxLoc;
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Point maxLocGold(284, 12);
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gpu::matchTemplate(d_image, d_pattern, d_result, CV_TM_CCOEFF_NORMED);
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gpu::minMaxLoc(d_result, NULL, &maxValue, NULL, &maxLoc );
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if (maxLoc != maxLocGold)
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{
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ts->printf(cvtest::TS::CONSOLE, "bad match (CV_TM_CCOEFF_NORMED): %d %d, must be at: %d %d",
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maxLoc.x, maxLoc.y, maxLocGold.x, maxLocGold.y);
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ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_OUTPUT);
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return;
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}
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gpu::matchTemplate(d_image, d_pattern, d_result, CV_TM_CCORR_NORMED);
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gpu::minMaxLoc(d_result, NULL, &maxValue, NULL, &maxLoc );
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if (maxLoc != maxLocGold)
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{
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ts->printf(cvtest::TS::CONSOLE, "bad match (CV_TM_CCORR_NORMED): %d %d, must be at: %d %d",
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maxLoc.x, maxLoc.y, maxLocGold.x, maxLocGold.y);
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ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_OUTPUT);
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return;
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}
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}
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};
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TEST(matchTemplate, find_pattern_in_black) { CV_GpuMatchTemplateFindPatternInBlackTest test; test.safe_run(); }
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