Open Source Computer Vision Library https://opencv.org/
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/*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.
//
//
// Intel 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
// Wenju He, wenju@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,
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// * Redistribution's in binary form must reproduce the above copyright notice,
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//M*/
#include "precomp.hpp"
#include "opencv2/core/core.hpp"
using namespace std;
#ifdef HAVE_OPENCL
PARAM_TEST_CASE(HOG,cv::Size,int)
{
cv::Size winSize;
int type;
//vector<cv::ocl::Info> info;
virtual void SetUp()
{
winSize = GET_PARAM(0);
type = GET_PARAM(1);
//cv::ocl::getDevice(info);
}
};
TEST_P(HOG, GetDescriptors)
{
// Load image
cv::Mat img_rgb = readImage("../../../samples/gpu/road.png");
ASSERT_FALSE(img_rgb.empty());
// Convert image
cv::Mat img;
switch (type)
{
case CV_8UC1:
cv::cvtColor(img_rgb, img, CV_BGR2GRAY);
break;
case CV_8UC4:
default:
cv::cvtColor(img_rgb, img, CV_BGR2BGRA);
break;
}
cv::ocl::oclMat d_img(img);
// HOGs
cv::ocl::HOGDescriptor ocl_hog;
ocl_hog.gamma_correction = true;
cv::HOGDescriptor hog;
hog.gammaCorrection = true;
// Compute descriptor
cv::ocl::oclMat d_descriptors;
ocl_hog.getDescriptors(d_img, ocl_hog.win_size, d_descriptors, ocl_hog.DESCR_FORMAT_COL_BY_COL);
cv::Mat down_descriptors;
d_descriptors.download(down_descriptors);
down_descriptors = down_descriptors.reshape(0, down_descriptors.cols * down_descriptors.rows);
hog.setSVMDetector(hog.getDefaultPeopleDetector());
std::vector<float> descriptors;
switch (type)
{
case CV_8UC1:
hog.compute(img, descriptors, ocl_hog.win_size);
break;
case CV_8UC4:
default:
hog.compute(img_rgb, descriptors, ocl_hog.win_size);
break;
}
cv::Mat cpu_descriptors(descriptors);
EXPECT_MAT_SIMILAR(down_descriptors, cpu_descriptors, 1e-2);
}
TEST_P(HOG, Detect)
{
// Load image
cv::Mat img_rgb = readImage("../../../samples/gpu/road.png");
ASSERT_FALSE(img_rgb.empty());
// Convert image
cv::Mat img;
switch (type)
{
case CV_8UC1:
cv::cvtColor(img_rgb, img, CV_BGR2GRAY);
break;
case CV_8UC4:
default:
cv::cvtColor(img_rgb, img, CV_BGR2BGRA);
break;
}
cv::ocl::oclMat d_img(img);
// HOGs
if ((winSize != cv::Size(48, 96)) && (winSize != cv::Size(64, 128)))
winSize = cv::Size(64, 128);
cv::ocl::HOGDescriptor ocl_hog(winSize);
ocl_hog.gamma_correction = true;
cv::HOGDescriptor hog;
hog.winSize = winSize;
hog.gammaCorrection = true;
if (winSize.width == 48 && winSize.height == 96)
{
// daimler's base
ocl_hog.setSVMDetector(ocl_hog.getPeopleDetector48x96());
hog.setSVMDetector(hog.getDaimlerPeopleDetector());
}
else if (winSize.width == 64 && winSize.height == 128)
{
ocl_hog.setSVMDetector(ocl_hog.getPeopleDetector64x128());
hog.setSVMDetector(hog.getDefaultPeopleDetector());
}
else
{
ocl_hog.setSVMDetector(ocl_hog.getDefaultPeopleDetector());
hog.setSVMDetector(hog.getDefaultPeopleDetector());
}
// OpenCL detection
std::vector<cv::Point> d_v_locations;
ocl_hog.detect(d_img, d_v_locations, 0);
cv::Mat d_locations(d_v_locations);
// CPU detection
std::vector<cv::Point> v_locations;
switch (type)
{
case CV_8UC1:
hog.detect(img, v_locations, 0);
break;
case CV_8UC4:
default:
hog.detect(img_rgb, v_locations, 0);
break;
}
cv::Mat locations(v_locations);
char s[100]={0};
EXPECT_MAT_NEAR(d_locations, locations, 0, s);
}
INSTANTIATE_TEST_CASE_P(OCL_ObjDetect, HOG, testing::Combine(
testing::Values(cv::Size(64, 128), cv::Size(48, 96)),
testing::Values(MatType(CV_8UC1), MatType(CV_8UC3),MatType(CV_8UC4))));
#endif //HAVE_OPENCL