feat: 切换后端至PaddleOCR-NCNN，切换工程为CMake
1.项目后端整体迁移至PaddleOCR-NCNN算法，已通过基本的兼容性测试 2.工程改为使用CMake组织，后续为了更好地兼容第三方库，不再提供QMake工程 3.重整权利声明文件，重整代码工程，确保最小化侵权风险 Log: 切换后端至PaddleOCR-NCNN，切换工程为CMake Change-Id: I4d5d2c5d37505a4a24b389b1a4c5d12f17bfa38c
This commit is contained in:
wangzhengyang
197
3rdparty/opencv-4.5.4/modules/core/perf/cuda/perf_gpumat.cpp
vendored
Normal file
197
3rdparty/opencv-4.5.4/modules/core/perf/cuda/perf_gpumat.cpp
vendored
Normal file
@ -0,0 +1,197 @@
|
||||
/*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"
|
||||
|
||||
#ifdef HAVE_CUDA
|
||||
|
||||
#include "opencv2/core/cuda.hpp"
|
||||
#include "opencv2/ts/cuda_perf.hpp"
|
||||
|
||||
namespace opencv_test { namespace {
|
||||
using namespace testing;
|
||||
using namespace perf;
|
||||
|
||||
//////////////////////////////////////////////////////////////////////
|
||||
// SetTo
|
||||
|
||||
PERF_TEST_P(Sz_Depth_Cn, CUDA_GpuMat_SetTo,
|
||||
Combine(CUDA_TYPICAL_MAT_SIZES,
|
||||
Values(CV_8U, CV_16U, CV_32F, CV_64F),
|
||||
CUDA_CHANNELS_1_3_4))
|
||||
{
|
||||
const cv::Size size = GET_PARAM(0);
|
||||
const int depth = GET_PARAM(1);
|
||||
const int channels = GET_PARAM(2);
|
||||
|
||||
const int type = CV_MAKE_TYPE(depth, channels);
|
||||
|
||||
const cv::Scalar val(1, 2, 3, 4);
|
||||
|
||||
if (PERF_RUN_CUDA())
|
||||
{
|
||||
cv::cuda::GpuMat dst(size, type);
|
||||
|
||||
TEST_CYCLE() dst.setTo(val);
|
||||
}
|
||||
else
|
||||
{
|
||||
cv::Mat dst(size, type);
|
||||
|
||||
TEST_CYCLE() dst.setTo(val);
|
||||
}
|
||||
|
||||
SANITY_CHECK_NOTHING();
|
||||
}
|
||||
|
||||
//////////////////////////////////////////////////////////////////////
|
||||
// SetToMasked
|
||||
|
||||
PERF_TEST_P(Sz_Depth_Cn, CUDA_GpuMat_SetToMasked,
|
||||
Combine(CUDA_TYPICAL_MAT_SIZES,
|
||||
Values(CV_8U, CV_16U, CV_32F, CV_64F),
|
||||
CUDA_CHANNELS_1_3_4))
|
||||
{
|
||||
const cv::Size size = GET_PARAM(0);
|
||||
const int depth = GET_PARAM(1);
|
||||
const int channels = GET_PARAM(2);
|
||||
|
||||
const int type = CV_MAKE_TYPE(depth, channels);
|
||||
|
||||
cv::Mat src(size, type);
|
||||
cv::Mat mask(size, CV_8UC1);
|
||||
declare.in(src, mask, WARMUP_RNG);
|
||||
|
||||
const cv::Scalar val(1, 2, 3, 4);
|
||||
|
||||
if (PERF_RUN_CUDA())
|
||||
{
|
||||
cv::cuda::GpuMat dst(src);
|
||||
const cv::cuda::GpuMat d_mask(mask);
|
||||
|
||||
TEST_CYCLE() dst.setTo(val, d_mask);
|
||||
}
|
||||
else
|
||||
{
|
||||
cv::Mat dst = src;
|
||||
|
||||
TEST_CYCLE() dst.setTo(val, mask);
|
||||
}
|
||||
|
||||
SANITY_CHECK_NOTHING();
|
||||
}
|
||||
|
||||
//////////////////////////////////////////////////////////////////////
|
||||
// CopyToMasked
|
||||
|
||||
PERF_TEST_P(Sz_Depth_Cn, CUDA_GpuMat_CopyToMasked,
|
||||
Combine(CUDA_TYPICAL_MAT_SIZES,
|
||||
Values(CV_8U, CV_16U, CV_32F, CV_64F),
|
||||
CUDA_CHANNELS_1_3_4))
|
||||
{
|
||||
const cv::Size size = GET_PARAM(0);
|
||||
const int depth = GET_PARAM(1);
|
||||
const int channels = GET_PARAM(2);
|
||||
|
||||
const int type = CV_MAKE_TYPE(depth, channels);
|
||||
|
||||
cv::Mat src(size, type);
|
||||
cv::Mat mask(size, CV_8UC1);
|
||||
declare.in(src, mask, WARMUP_RNG);
|
||||
|
||||
if (PERF_RUN_CUDA())
|
||||
{
|
||||
const cv::cuda::GpuMat d_src(src);
|
||||
const cv::cuda::GpuMat d_mask(mask);
|
||||
cv::cuda::GpuMat dst(d_src.size(), d_src.type(), cv::Scalar::all(0));
|
||||
|
||||
TEST_CYCLE() d_src.copyTo(dst, d_mask);
|
||||
}
|
||||
else
|
||||
{
|
||||
cv::Mat dst(src.size(), src.type(), cv::Scalar::all(0));
|
||||
|
||||
TEST_CYCLE() src.copyTo(dst, mask);
|
||||
}
|
||||
|
||||
SANITY_CHECK_NOTHING();
|
||||
}
|
||||
|
||||
//////////////////////////////////////////////////////////////////////
|
||||
// ConvertTo
|
||||
|
||||
DEF_PARAM_TEST(Sz_2Depth, cv::Size, MatDepth, MatDepth);
|
||||
|
||||
PERF_TEST_P(Sz_2Depth, CUDA_GpuMat_ConvertTo,
|
||||
Combine(CUDA_TYPICAL_MAT_SIZES,
|
||||
Values(CV_8U, CV_16U, CV_32F, CV_64F),
|
||||
Values(CV_8U, CV_16U, CV_32F, CV_64F)))
|
||||
{
|
||||
const cv::Size size = GET_PARAM(0);
|
||||
const int depth1 = GET_PARAM(1);
|
||||
const int depth2 = GET_PARAM(2);
|
||||
|
||||
cv::Mat src(size, depth1);
|
||||
declare.in(src, WARMUP_RNG);
|
||||
|
||||
const double a = 0.5;
|
||||
const double b = 1.0;
|
||||
|
||||
if (PERF_RUN_CUDA())
|
||||
{
|
||||
const cv::cuda::GpuMat d_src(src);
|
||||
cv::cuda::GpuMat dst;
|
||||
|
||||
TEST_CYCLE() d_src.convertTo(dst, depth2, a, b);
|
||||
}
|
||||
else
|
||||
{
|
||||
cv::Mat dst;
|
||||
|
||||
TEST_CYCLE() src.convertTo(dst, depth2, a, b);
|
||||
}
|
||||
|
||||
SANITY_CHECK_NOTHING();
|
||||
}
|
||||
|
||||
}} // namespace
|
||||
#endif
|
||||
Reference in New Issue
Block a user