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
207
3rdparty/opencv-4.5.4/modules/gapi/test/gapi_gpu_test.cpp
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3rdparty/opencv-4.5.4/modules/gapi/test/gapi_gpu_test.cpp
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// This file is part of OpenCV project.
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// It is subject to the license terms in the LICENSE file found in the top-level directory
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// of this distribution and at http://opencv.org/license.html.
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//
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// Copyright (C) 2018 Intel Corporation
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#include "test_precomp.hpp"
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#include "logger.hpp"
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#include "common/gapi_tests_common.hpp"
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#include <opencv2/gapi/gpu/ggpukernel.hpp>
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#include "opencl_kernels_test_gapi.hpp"
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namespace cv
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{
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#ifdef HAVE_OPENCL
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static void reference_symm7x7_CPU(const cv::Mat& in, const cv::Mat& kernel_coeff, int shift, cv::Mat &out)
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{
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cv::Point anchor = { -1, -1 };
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double delta = 0;
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const int* ci = kernel_coeff.ptr<int>();
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float c_float[10];
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float divisor = (float)(1 << shift);
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for (int i = 0; i < 10; i++)
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{
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c_float[i] = ci[i] / divisor;
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}
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// J & I & H & G & H & I & J
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// I & F & E & D & E & F & I
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// H & E & C & B & C & E & H
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// G & D & B & A & B & D & G
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// H & E & C & B & C & E & H
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// I & F & E & D & E & F & I
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// J & I & H & G & H & I & J
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// A & B & C & D & E & F & G & H & I & J
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// 9 & 8 & 7 & 6 & 7 & 8 & 9
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// 8 & 5 & 4 & 3 & 4 & 5 & 8
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// 7 & 4 & 2 & 1 & 2 & 4 & 7
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// 6 & 3 & 1 & 0 & 1 & 3 & 6
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// 7 & 4 & 2 & 1 & 2 & 4 & 7
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// 8 & 5 & 4 & 3 & 4 & 5 & 8
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// 9 & 8 & 7 & 6 & 7 & 8 & 9
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float coefficients[49] =
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{
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c_float[9], c_float[8], c_float[7], c_float[6], c_float[7], c_float[8], c_float[9],
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c_float[8], c_float[5], c_float[4], c_float[3], c_float[4], c_float[5], c_float[8],
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c_float[7], c_float[4], c_float[2], c_float[1], c_float[2], c_float[4], c_float[7],
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c_float[6], c_float[3], c_float[1], c_float[0], c_float[1], c_float[3], c_float[6],
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c_float[7], c_float[4], c_float[2], c_float[1], c_float[2], c_float[4], c_float[7],
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c_float[8], c_float[5], c_float[4], c_float[3], c_float[4], c_float[5], c_float[8],
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c_float[9], c_float[8], c_float[7], c_float[6], c_float[7], c_float[8], c_float[9]
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};
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cv::Mat kernel = cv::Mat(7, 7, CV_32FC1);
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float* cf = kernel.ptr<float>();
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for (int i = 0; i < 49; i++)
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{
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cf[i] = coefficients[i];
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}
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cv::filter2D(in, out, CV_8UC1, kernel, anchor, delta, cv::BORDER_REPLICATE);
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}
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namespace gapi_test_kernels
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{
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G_TYPED_KERNEL(TSymm7x7_test, <GMat(GMat, Mat, int)>, "org.opencv.imgproc.symm7x7_test") {
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static GMatDesc outMeta(GMatDesc in, Mat, int) {
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return in.withType(CV_8U, 1);
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}
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};
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GAPI_GPU_KERNEL(GGPUSymm7x7_test, TSymm7x7_test)
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{
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static void run(const cv::UMat& in, const cv::Mat& kernel_coeff, int shift, cv::UMat &out)
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{
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if (cv::ocl::isOpenCLActivated())
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{
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cv::Size size = in.size();
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size_t globalsize[2] = { (size_t)size.width, (size_t)size.height };
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const cv::String moduleName = "gapi";
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cv::ocl::ProgramSource source(moduleName, "symm7x7", opencl_symm7x7_src, "");
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static const char * const borderMap[] = { "BORDER_CONSTANT", "BORDER_REPLICATE", "BORDER_UNDEFINED" };
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std::string build_options = " -D BORDER_CONSTANT_VALUE=" + std::to_string(0) +
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" -D " + borderMap[1] +
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" -D SCALE=1.f/" + std::to_string(1 << shift) + ".f";
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cv::String errmsg;
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cv::ocl::Program program(source, build_options, errmsg);
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if (program.ptr() == NULL)
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{
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CV_Error_(cv::Error::OpenCLInitError, ("symm_7x7_test Can't compile OpenCL program: = %s with build_options = %s\n", errmsg.c_str(), build_options.c_str()));
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}
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if (!errmsg.empty())
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{
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std::cout << "OpenCL program build log:" << std::endl << errmsg << std::endl;
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}
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cv::ocl::Kernel kernel("symm_7x7_test", program);
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if (kernel.empty())
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{
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CV_Error(cv::Error::OpenCLInitError, "symm_7x7_test Can't get OpenCL kernel\n");
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}
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cv::UMat gKer;
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kernel_coeff.copyTo(gKer);
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int tile_y = 0;
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int idxArg = kernel.set(0, cv::ocl::KernelArg::PtrReadOnly(in));
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idxArg = kernel.set(idxArg, (int)in.step);
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idxArg = kernel.set(idxArg, (int)size.width);
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idxArg = kernel.set(idxArg, (int)size.height);
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idxArg = kernel.set(idxArg, cv::ocl::KernelArg::PtrWriteOnly(out));
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idxArg = kernel.set(idxArg, (int)out.step);
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idxArg = kernel.set(idxArg, (int)size.height);
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idxArg = kernel.set(idxArg, (int)size.width);
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idxArg = kernel.set(idxArg, (int)tile_y);
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idxArg = kernel.set(idxArg, cv::ocl::KernelArg::PtrReadOnly(gKer));
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if (!kernel.run(2, globalsize, NULL, false))
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{
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CV_Error(cv::Error::OpenCLApiCallError, "symm_7x7_test OpenCL kernel run failed\n");
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}
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}
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else
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{
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//CPU fallback
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cv::Mat in_Mat, out_Mat;
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in_Mat = in.getMat(ACCESS_READ);
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out_Mat = out.getMat(ACCESS_WRITE);
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reference_symm7x7_CPU(in_Mat, kernel_coeff, shift, out_Mat);
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}
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}
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};
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cv::gapi::GKernelPackage gpuTestPackage = cv::gapi::kernels
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<GGPUSymm7x7_test
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>();
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} // namespace gapi_test_kernels
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#endif //HAVE_OPENCL
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} // namespace cv
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namespace opencv_test
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{
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#ifdef HAVE_OPENCL
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using namespace cv::gapi_test_kernels;
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TEST(GPU, Symm7x7_test)
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{
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const auto sz = cv::Size(1280, 720);
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cv::Mat in_mat = cv::Mat::eye(sz, CV_8UC1);
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cv::Mat out_mat_gapi(sz, CV_8UC1);
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cv::Mat out_mat_ocv(sz, CV_8UC1);
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cv::Scalar mean = cv::Scalar(127.0f);
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cv::Scalar stddev = cv::Scalar(40.f);
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cv::randn(in_mat, mean, stddev);
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//Symm7x7 coefficients and shift
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int coefficients_symm7x7[10] = { 1140, -118, 526, 290, -236, 64, -128, -5, -87, -7 };
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int shift = 10;
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cv::Mat kernel_coeff(10, 1, CV_32S);
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int* ci = kernel_coeff.ptr<int>();
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for (int i = 0; i < 10; i++)
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{
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ci[i] = coefficients_symm7x7[i];
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}
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// Run G-API
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cv::GMat in;
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auto out = TSymm7x7_test::on(in, kernel_coeff, shift);
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cv::GComputation comp(cv::GIn(in), cv::GOut(out));
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auto cc = comp.compile(cv::descr_of(in_mat), cv::compile_args(gpuTestPackage));
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cc(cv::gin(in_mat), cv::gout(out_mat_gapi));
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// Run OpenCV
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reference_symm7x7_CPU(in_mat, kernel_coeff, shift, out_mat_ocv);
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compare_f cmpF = AbsSimilarPoints(1, 0.05).to_compare_f();
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// Comparison //////////////////////////////////////////////////////////////
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{
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EXPECT_TRUE(cmpF(out_mat_gapi, out_mat_ocv));
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EXPECT_EQ(out_mat_gapi.size(), sz);
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}
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}
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#endif
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} // namespace opencv_test
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