mirror of
https://github.com/opencv/opencv.git
synced 2024-12-05 17:59:13 +08:00
fb8e652c3f
Due to size limit of shared memory, histogram is built on the global memory for CV_16UC1 case. The amount of memory needed for building histogram is: 65536 * 4byte = 256KB and shared memory limit is 48KB typically. Added test cases for CV_16UC1 and various clip limits. Added perf tests for CV_16UC1 on both CPU and CUDA code. There was also a bug in CV_8UC1 case when redistributing "residual" clipped pixels. Adding the test case where clip limit is 5.0 exposes this bug.
222 lines
6.2 KiB
C++
222 lines
6.2 KiB
C++
/*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.
|
|
//
|
|
//
|
|
// License Agreement
|
|
// For Open Source Computer Vision Library
|
|
//
|
|
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
|
|
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
|
|
// Third party copyrights are property of their respective owners.
|
|
//
|
|
// 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,
|
|
// this list of conditions and the following disclaimer.
|
|
//
|
|
// * Redistribution's in binary form must reproduce the above copyright notice,
|
|
// this list of conditions and the following disclaimer in the documentation
|
|
// and/or other materials provided with the distribution.
|
|
//
|
|
// * The name of the copyright holders may not be used to endorse or promote products
|
|
// derived from this software without specific prior written permission.
|
|
//
|
|
// This software is provided by the copyright holders and contributors "as is" and
|
|
// any express or implied warranties, including, but not limited to, the implied
|
|
// warranties of merchantability and fitness for a particular purpose are disclaimed.
|
|
// In no event shall the Intel Corporation or contributors be liable for any direct,
|
|
// indirect, incidental, special, exemplary, or consequential damages
|
|
// (including, but not limited to, procurement of substitute goods or services;
|
|
// loss of use, data, or profits; or business interruption) however caused
|
|
// and on any theory of liability, whether in contract, strict liability,
|
|
// or tort (including negligence or otherwise) arising in any way out of
|
|
// the use of this software, even if advised of the possibility of such damage.
|
|
//
|
|
//M*/
|
|
|
|
#include "perf_precomp.hpp"
|
|
|
|
namespace opencv_test { namespace {
|
|
|
|
//////////////////////////////////////////////////////////////////////
|
|
// HistEvenC1
|
|
|
|
DEF_PARAM_TEST(Sz_Depth, cv::Size, MatDepth);
|
|
|
|
PERF_TEST_P(Sz_Depth, HistEvenC1,
|
|
Combine(CUDA_TYPICAL_MAT_SIZES,
|
|
Values(CV_8U, CV_16U, CV_16S)))
|
|
{
|
|
const cv::Size size = GET_PARAM(0);
|
|
const int depth = GET_PARAM(1);
|
|
|
|
cv::Mat src(size, depth);
|
|
declare.in(src, WARMUP_RNG);
|
|
|
|
if (PERF_RUN_CUDA())
|
|
{
|
|
const cv::cuda::GpuMat d_src(src);
|
|
cv::cuda::GpuMat dst;
|
|
|
|
TEST_CYCLE() cv::cuda::histEven(d_src, dst, 30, 0, 180);
|
|
|
|
CUDA_SANITY_CHECK(dst);
|
|
}
|
|
else
|
|
{
|
|
const int hbins = 30;
|
|
const float hranges[] = {0.0f, 180.0f};
|
|
const int histSize[] = {hbins};
|
|
const float* ranges[] = {hranges};
|
|
const int channels[] = {0};
|
|
|
|
cv::Mat dst;
|
|
|
|
TEST_CYCLE() cv::calcHist(&src, 1, channels, cv::Mat(), dst, 1, histSize, ranges);
|
|
|
|
CPU_SANITY_CHECK(dst);
|
|
}
|
|
}
|
|
|
|
//////////////////////////////////////////////////////////////////////
|
|
// HistEvenC4
|
|
|
|
PERF_TEST_P(Sz_Depth, HistEvenC4,
|
|
Combine(CUDA_TYPICAL_MAT_SIZES,
|
|
Values(CV_8U, CV_16U, CV_16S)))
|
|
{
|
|
const cv::Size size = GET_PARAM(0);
|
|
const int depth = GET_PARAM(1);
|
|
|
|
cv::Mat src(size, CV_MAKE_TYPE(depth, 4));
|
|
declare.in(src, WARMUP_RNG);
|
|
|
|
int histSize[] = {30, 30, 30, 30};
|
|
int lowerLevel[] = {0, 0, 0, 0};
|
|
int upperLevel[] = {180, 180, 180, 180};
|
|
|
|
if (PERF_RUN_CUDA())
|
|
{
|
|
const cv::cuda::GpuMat d_src(src);
|
|
cv::cuda::GpuMat d_hist[4];
|
|
|
|
TEST_CYCLE() cv::cuda::histEven(d_src, d_hist, histSize, lowerLevel, upperLevel);
|
|
|
|
cv::Mat cpu_hist0, cpu_hist1, cpu_hist2, cpu_hist3;
|
|
d_hist[0].download(cpu_hist0);
|
|
d_hist[1].download(cpu_hist1);
|
|
d_hist[2].download(cpu_hist2);
|
|
d_hist[3].download(cpu_hist3);
|
|
SANITY_CHECK(cpu_hist0);
|
|
SANITY_CHECK(cpu_hist1);
|
|
SANITY_CHECK(cpu_hist2);
|
|
SANITY_CHECK(cpu_hist3);
|
|
}
|
|
else
|
|
{
|
|
FAIL_NO_CPU();
|
|
}
|
|
}
|
|
|
|
//////////////////////////////////////////////////////////////////////
|
|
// CalcHist
|
|
|
|
PERF_TEST_P(Sz, CalcHist,
|
|
CUDA_TYPICAL_MAT_SIZES)
|
|
{
|
|
const cv::Size size = GetParam();
|
|
|
|
cv::Mat src(size, CV_8UC1);
|
|
declare.in(src, WARMUP_RNG);
|
|
|
|
if (PERF_RUN_CUDA())
|
|
{
|
|
const cv::cuda::GpuMat d_src(src);
|
|
cv::cuda::GpuMat dst;
|
|
|
|
TEST_CYCLE() cv::cuda::calcHist(d_src, dst);
|
|
|
|
CUDA_SANITY_CHECK(dst);
|
|
}
|
|
else
|
|
{
|
|
FAIL_NO_CPU();
|
|
}
|
|
}
|
|
|
|
//////////////////////////////////////////////////////////////////////
|
|
// EqualizeHist
|
|
|
|
PERF_TEST_P(Sz, EqualizeHist,
|
|
CUDA_TYPICAL_MAT_SIZES)
|
|
{
|
|
const cv::Size size = GetParam();
|
|
|
|
cv::Mat src(size, CV_8UC1);
|
|
declare.in(src, WARMUP_RNG);
|
|
|
|
if (PERF_RUN_CUDA())
|
|
{
|
|
const cv::cuda::GpuMat d_src(src);
|
|
cv::cuda::GpuMat dst;
|
|
|
|
TEST_CYCLE() cv::cuda::equalizeHist(d_src, dst);
|
|
|
|
CUDA_SANITY_CHECK(dst);
|
|
}
|
|
else
|
|
{
|
|
cv::Mat dst;
|
|
|
|
TEST_CYCLE() cv::equalizeHist(src, dst);
|
|
|
|
CPU_SANITY_CHECK(dst);
|
|
}
|
|
}
|
|
|
|
//////////////////////////////////////////////////////////////////////
|
|
// CLAHE
|
|
|
|
DEF_PARAM_TEST(Sz_ClipLimit, cv::Size, double, MatType);
|
|
|
|
PERF_TEST_P(Sz_ClipLimit, CLAHE,
|
|
Combine(CUDA_TYPICAL_MAT_SIZES,
|
|
Values(0.0, 40.0),
|
|
Values(MatType(CV_8UC1), MatType(CV_16UC1))))
|
|
{
|
|
const cv::Size size = GET_PARAM(0);
|
|
const double clipLimit = GET_PARAM(1);
|
|
const int type = GET_PARAM(2);
|
|
|
|
cv::Mat src(size, type);
|
|
declare.in(src, WARMUP_RNG);
|
|
|
|
if (PERF_RUN_CUDA())
|
|
{
|
|
cv::Ptr<cv::cuda::CLAHE> clahe = cv::cuda::createCLAHE(clipLimit);
|
|
cv::cuda::GpuMat d_src(src);
|
|
cv::cuda::GpuMat dst;
|
|
|
|
TEST_CYCLE() clahe->apply(d_src, dst);
|
|
|
|
CUDA_SANITY_CHECK(dst);
|
|
}
|
|
else
|
|
{
|
|
cv::Ptr<cv::CLAHE> clahe = cv::createCLAHE(clipLimit);
|
|
cv::Mat dst;
|
|
|
|
TEST_CYCLE() clahe->apply(src, dst);
|
|
|
|
CPU_SANITY_CHECK(dst);
|
|
}
|
|
}
|
|
|
|
}} // namespace
|