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198 lines
6.4 KiB
C++
198 lines
6.4 KiB
C++
/*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 materials 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 implied warranties, including, but not limited to, the implied
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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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#ifdef HAVE_CUDA
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namespace
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{
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struct GreedyLabeling
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{
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struct dot
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{
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int x;
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int y;
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static dot make(int i, int j)
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{
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dot d; d.x = i; d.y = j;
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return d;
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}
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};
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struct InInterval
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{
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InInterval(const int& _lo, const int& _hi) : lo(-_lo), hi(_hi) {};
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const int lo, hi;
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bool operator() (const unsigned char a, const unsigned char b) const
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{
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int d = a - b;
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return lo <= d && d <= hi;
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}
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};
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GreedyLabeling(cv::Mat img)
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: image(img), _labels(image.size(), CV_32SC1, cv::Scalar::all(-1)) {}
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void operator() (cv::Mat labels) const
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{
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InInterval inInt(0, 2);
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dot* stack = new dot[image.cols * image.rows];
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int cc = -1;
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int* dist_labels = (int*)labels.data;
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int pitch = (int) labels.step1();
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unsigned char* source = (unsigned char*)image.data;
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int width = image.cols;
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int height = image.rows;
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int step1 = (int)image.step1();
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for (int j = 0; j < image.rows; ++j)
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for (int i = 0; i < image.cols; ++i)
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{
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if (dist_labels[j * pitch + i] != -1) continue;
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dot* top = stack;
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dot p = dot::make(i, j);
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cc++;
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dist_labels[j * pitch + i] = cc;
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while (top >= stack)
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{
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int* dl = &dist_labels[p.y * pitch + p.x];
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unsigned char* sp = &source[p.y * step1 + p.x];
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dl[0] = cc;
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//right
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if( p.x < (width - 1) && dl[ +1] == -1 && inInt(sp[0], sp[+1]))
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*top++ = dot::make(p.x + 1, p.y);
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//left
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if( p.x > 0 && dl[-1] == -1 && inInt(sp[0], sp[-1]))
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*top++ = dot::make(p.x - 1, p.y);
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//bottom
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if( p.y < (height - 1) && dl[+pitch] == -1 && inInt(sp[0], sp[+step1]))
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*top++ = dot::make(p.x, p.y + 1);
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//top
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if( p.y > 0 && dl[-pitch] == -1 && inInt(sp[0], sp[-step1]))
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*top++ = dot::make(p.x, p.y - 1);
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p = *--top;
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}
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}
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delete[] stack;
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}
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void checkCorrectness(cv::Mat gpu)
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{
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cv::Mat diff = gpu - _labels;
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int outliers = 0;
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for (int j = 0; j < image.rows; ++j)
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for (int i = 0; i < image.cols - 1; ++i)
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{
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if ( (_labels.at<int>(j,i) == gpu.at<int>(j,i + 1)) && (diff.at<int>(j, i) != diff.at<int>(j,i + 1)))
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{
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outliers++;
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}
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}
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ASSERT_TRUE(outliers < gpu.cols + gpu.rows);
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}
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cv::Mat image;
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cv::Mat _labels;
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};
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}
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struct Labeling : testing::TestWithParam<cv::gpu::DeviceInfo>
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{
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cv::gpu::DeviceInfo devInfo;
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virtual void SetUp()
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{
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devInfo = GetParam();
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cv::gpu::setDevice(devInfo.deviceID());
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}
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cv::Mat loat_image()
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{
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return cv::imread(std::string( cvtest::TS::ptr()->get_data_path() ) + "labeling/label.png");
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}
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};
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GPU_TEST_P(Labeling, DISABLED_ConnectedComponents)
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{
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cv::Mat image;
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cvtColor(loat_image(), image, CV_BGR2GRAY);
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cv::threshold(image, image, 150, 255, CV_THRESH_BINARY);
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ASSERT_TRUE(image.type() == CV_8UC1);
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GreedyLabeling host(image);
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host(host._labels);
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cv::gpu::GpuMat mask;
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mask.create(image.rows, image.cols, CV_8UC1);
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cv::gpu::GpuMat components;
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components.create(image.rows, image.cols, CV_32SC1);
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cv::gpu::connectivityMask(cv::gpu::GpuMat(image), mask, cv::Scalar::all(0), cv::Scalar::all(2));
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cv::gpu::labelComponents(mask, components);
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host.checkCorrectness(cv::Mat(components));
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}
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INSTANTIATE_TEST_CASE_P(GPU_ConnectedComponents, Labeling, ALL_DEVICES);
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#endif // HAVE_CUDA
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