fixed some bugs, added tests for gpu::HOGDescriptor
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@ -282,7 +282,7 @@ namespace cv
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operator GpuMat() const;
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//returns if host memory can be mapperd to gpu address space;
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static bool can_device_map_to_host();
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static bool canMapHostMemory();
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// Please see cv::Mat for descriptions
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bool isContinuous() const;
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@ -1001,8 +1001,6 @@ namespace cv
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double hit_threshold=0, Size win_stride=Size(), Size padding=Size(),
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double scale0=1.05, int group_threshold=2);
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GpuMat getLastBlockHists() const;
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Size win_size;
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Size block_size;
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Size block_stride;
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@ -142,6 +142,7 @@ __global__ void compute_hists_kernel_many_blocks(const int img_block_width, cons
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const float* grad_ptr = grad.ptr(offset_y) + offset_x * 2;
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const unsigned char* qangle_ptr = qangle.ptr(offset_y) + offset_x * 2;
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// 12 means that 12 pixels affect on block's cell (in one row)
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if (cell_thread_x < 12)
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{
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float* hist = hists + 12 * (cell_y * blockDim.z * CELLS_PER_BLOCK_Y +
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@ -295,11 +295,6 @@ void cv::gpu::HOGDescriptor::detectMultiScale(const GpuMat& img, vector<Rect>& f
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}
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cv::gpu::GpuMat cv::gpu::HOGDescriptor::getLastBlockHists() const {
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return block_hists;
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}
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int cv::gpu::HOGDescriptor::numPartsWithin(int size, int part_size, int stride)
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{
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return (size - part_size + stride) / stride;
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@ -68,7 +68,7 @@ namespace cv
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void GpuMat::release() { throw_nogpu(); }
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void CudaMem::create(int /*_rows*/, int /*_cols*/, int /*_type*/, int /*type_alloc*/) { throw_nogpu(); }
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bool CudaMem::can_device_map_to_host() { throw_nogpu(); return false; }
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bool CudaMem::canMapHostMemory() { throw_nogpu(); return false; }
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void CudaMem::release() { throw_nogpu(); }
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GpuMat CudaMem::createGpuMatHeader () const { throw_nogpu(); return GpuMat(); }
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}
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210
tests/gpu/src/hog.cpp
Normal file
210
tests/gpu/src/hog.cpp
Normal file
@ -0,0 +1,210 @@
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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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// Intel License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2000, Intel Corporation, 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 Intel Corporation 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 "gputest.hpp"
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#include <fstream>
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using namespace std;
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//#define DUMP
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#define CHECK(pred, err) if (!(pred)) { \
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ts->printf(CvTS::LOG, "Fail: \"%s\" at line: %d\n", #pred, __LINE__); \
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ts->set_failed_test_info(err); \
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return; }
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struct CV_GpuHogTest : public CvTest
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{
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CV_GpuHogTest() : CvTest( "GPU-HOG", "HOGDescriptor" ) {}
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#ifdef DUMP
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void dump(const cv::Mat& block_hists, const std::vector<cv::Point>& locations)
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{
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f.write((char*)&block_hists.rows, sizeof(block_hists.rows));
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f.write((char*)&block_hists.cols, sizeof(block_hists.cols));
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for (int i = 0; i < block_hists.rows; ++i)
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{
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for (int j = 0; j < block_hists.cols; ++j)
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{
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float val = block_hists.at<float>(i, j);
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f.write((char*)&val, sizeof(val));
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}
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}
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size_t nlocations = locations.size();
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f.write((char*)&nlocations, sizeof(nlocations));
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for (size_t i = 0; i < locations.size(); ++i)
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f.write((char*)&locations[i], sizeof(locations[i]));
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}
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#else
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void compare(const cv::Mat& block_hists, const std::vector<cv::Point>& locations)
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{
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int rows, cols;
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size_t nlocations;
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f.read((char*)&rows, sizeof(rows));
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f.read((char*)&cols, sizeof(cols));
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CHECK(rows == block_hists.rows, CvTS::FAIL_INVALID_OUTPUT);
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CHECK(cols == block_hists.cols, CvTS::FAIL_INVALID_OUTPUT);
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for (int i = 0; i < block_hists.rows; ++i)
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{
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for (int j = 0; j < block_hists.cols; ++j)
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{
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float val;
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f.read((char*)&val, sizeof(val));
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CHECK(fabs(val - block_hists.at<float>(i, j)) < 1e-3f, CvTS::FAIL_INVALID_OUTPUT);
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}
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}
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f.read((char*)&nlocations, sizeof(nlocations));
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CHECK(nlocations == locations.size(), CvTS::FAIL_INVALID_OUTPUT);
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for (size_t i = 0; i < nlocations; ++i)
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{
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cv::Point location;
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f.read((char*)&location, sizeof(location));
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CHECK(location == locations[i], CvTS::FAIL_INVALID_OUTPUT);
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}
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}
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#endif
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void test(const cv::Mat& img)
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{
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cv::gpu::GpuMat d_img(img);
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cv::gpu::HOGDescriptor hog;
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hog.setSVMDetector(cv::gpu::HOGDescriptor::getDefaultPeopleDetector());
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std::vector<cv::Point> locations;
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// Test detect
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hog.detect(d_img, locations, 0);
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#ifdef DUMP
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dump(hog.block_hists, locations);
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#else
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compare(hog.block_hists, locations);
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#endif
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// Test detect on smaller image
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cv::gpu::GpuMat d_img2;
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cv::gpu::resize(d_img, d_img2, cv::Size(d_img.cols / 2, d_img.rows / 2));
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hog.detect(d_img2, locations, 0);
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#ifdef DUMP
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dump(hog.block_hists, locations);
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#else
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compare(hog.block_hists, locations);
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#endif
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// Test detect on greater image
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cv::gpu::resize(d_img, d_img2, cv::Size(d_img.cols * 2, d_img.rows * 2));
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hog.detect(d_img2, locations, 0);
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#ifdef DUMP
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dump(hog.block_hists, locations);
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#else
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compare(hog.block_hists, locations);
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#endif
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// Test detectMultiScale
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std::vector<cv::Rect> rects;
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size_t nrects;
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hog.detectMultiScale(d_img, rects, 0, cv::Size(8, 8), cv::Size(), 1.05, 2);
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#ifdef DUMP
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nrects = rects.size();
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f.write((char*)&nrects, sizeof(nrects));
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for (size_t i = 0; i < rects.size(); ++i)
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f.write((char*)&rects[i], sizeof(rects[i]));
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dump(hog.block_hists, std::vector<cv::Point>());
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#else
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f.read((char*)&nrects, sizeof(nrects));
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CHECK(nrects == rects.size(), CvTS::FAIL_INVALID_OUTPUT)
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for (size_t i = 0; i < rects.size(); ++i)
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{
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cv::Rect rect;
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f.read((char*)&rect, sizeof(rect));
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CHECK(rect == rects[i], CvTS::FAIL_INVALID_OUTPUT);
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}
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compare(hog.block_hists, std::vector<cv::Point>());
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#endif
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}
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void run(int)
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{
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try
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{
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cv::Mat img_rgb = cv::imread(std::string(ts->get_data_path()) + "hog/road.png");
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CHECK(!img_rgb.empty(), CvTS::FAIL_MISSING_TEST_DATA);
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#ifdef DUMP
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f.open((std::string(ts->get_data_path()) + "hog/expected_output.bin").c_str(), std::ios_base::binary);
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CHECK(f.is_open(), CvTS::FAIL_GENERIC);
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#else
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f.open((std::string(ts->get_data_path()) + "hog/expected_output.bin").c_str(), std::ios_base::binary);
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CHECK(f.is_open(), CvTS::FAIL_MISSING_TEST_DATA);
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#endif
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// Test on color image
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cv::Mat img;
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cv::cvtColor(img_rgb, img, CV_BGR2BGRA);
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test(img);
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// Test on gray image
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cv::cvtColor(img_rgb, img, CV_BGR2GRAY);
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test(img);
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f.close();
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}
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catch (const cv::Exception& e)
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{
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f.close();
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if (!check_and_treat_gpu_exception(e, ts)) throw;
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return;
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}
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}
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#ifdef DUMP
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std::ofstream f;
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#else
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std::ifstream f;
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#endif
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} gpu_hog_test;
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