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Merge pull request #5531 from mshabunin:fix-vs2015
This commit is contained in:
Alexander Alekhin
commit
debe99f1a4
1
3rdparty/libtiff/CMakeLists.txt
vendored
1
3rdparty/libtiff/CMakeLists.txt
vendored
@ -93,6 +93,7 @@ ocv_warnings_disable(CMAKE_CXX_FLAGS /wd4018 /wd4100 /wd4127 /wd4311 /wd4701 /wd
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ocv_warnings_disable(CMAKE_CXX_FLAGS /wd4244) # vs2008
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ocv_warnings_disable(CMAKE_CXX_FLAGS /wd4267 /wd4305 /wd4306) # vs2008 Win64
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ocv_warnings_disable(CMAKE_CXX_FLAGS /wd4703) # vs2012
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ocv_warnings_disable(CMAKE_CXX_FLAGS /wd4456 /wd4457 /wd4312) # vs2015
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ocv_warnings_disable(CMAKE_C_FLAGS /wd4267 /wd4244 /wd4018)
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1
3rdparty/openexr/CMakeLists.txt
vendored
1
3rdparty/openexr/CMakeLists.txt
vendored
@ -44,6 +44,7 @@ ocv_warnings_disable(CMAKE_CXX_FLAGS /wd4018 /wd4099 /wd4100 /wd4101 /wd4127 /wd
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ocv_warnings_disable(CMAKE_CXX_FLAGS /wd4334) # vs2005 Win64
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ocv_warnings_disable(CMAKE_CXX_FLAGS /wd4244) # vs2008
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ocv_warnings_disable(CMAKE_CXX_FLAGS /wd4267) # vs2008 Win64
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ocv_warnings_disable(CMAKE_CXX_FLAGS /wd4456) # vs2015
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if(UNIX AND (CMAKE_COMPILER_IS_GNUCXX OR CV_ICC))
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set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -fPIC")
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@ -362,5 +362,7 @@ if(MSVC)
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if(NOT ENABLE_NOISY_WARNINGS)
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ocv_warnings_disable(CMAKE_CXX_FLAGS /wd4251) # class 'std::XXX' needs to have dll-interface to be used by clients of YYY
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ocv_warnings_disable(CMAKE_CXX_FLAGS /wd4324) # 'struct_name' : structure was padded due to __declspec(align())
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ocv_warnings_disable(CMAKE_CXX_FLAGS /wd4275) # non dll-interface class 'std::exception' used as base for dll-interface class 'cv::Exception'
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ocv_warnings_disable(CMAKE_CXX_FLAGS /wd4589) # Constructor of abstract class 'cv::ORB' ignores initializer for virtual base class 'cv::Algorithm'
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endif()
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endif()
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@ -99,7 +99,7 @@ static bool ocl_prefilter_norm(InputArray _input, OutputArray _output, int winsi
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_output.create(input.size(), input.type());
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output = _output.getUMat();
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size_t globalThreads[3] = { input.cols, input.rows, 1 };
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size_t globalThreads[3] = { (size_t)input.cols, (size_t)input.rows, 1 };
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k.args(ocl::KernelArg::PtrReadOnly(input), ocl::KernelArg::PtrWriteOnly(output), input.rows, input.cols,
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prefilterCap, scale_g, scale_s);
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@ -180,7 +180,7 @@ static bool ocl_prefilter_xsobel(InputArray _input, OutputArray _output, int pre
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_output.create(input.size(), input.type());
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output = _output.getUMat();
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size_t globalThreads[3] = { input.cols, input.rows, 1 };
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size_t globalThreads[3] = { (size_t)input.cols, (size_t)input.rows, 1 };
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k.args(ocl::KernelArg::PtrReadOnly(input), ocl::KernelArg::PtrWriteOnly(output), input.rows, input.cols, prefilterCap);
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@ -927,8 +927,8 @@ static bool ocl_stereobm( InputArray _left, InputArray _right,
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int globalX = (disp.cols + sizeX - 1) / sizeX,
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globalY = (disp.rows + sizeY - 1) / sizeY;
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size_t globalThreads[3] = {N, globalX, globalY};
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size_t localThreads[3] = {N, 1, 1};
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size_t globalThreads[3] = {(size_t)N, (size_t)globalX, (size_t)globalY};
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size_t localThreads[3] = {(size_t)N, 1, 1};
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int idx = 0;
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idx = k.set(idx, ocl::KernelArg::PtrReadOnly(left));
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@ -101,15 +101,15 @@ TEST_F(fisheyeTest, projectPoints)
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TEST_F(fisheyeTest, DISABLED_undistortImage)
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{
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cv::Matx33d K = this->K;
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cv::Mat D = cv::Mat(this->D);
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cv::Matx33d theK = this->K;
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cv::Mat theD = cv::Mat(this->D);
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std::string file = combine(datasets_repository_path, "/calib-3_stereo_from_JY/left/stereo_pair_014.jpg");
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cv::Matx33d newK = K;
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cv::Matx33d newK = theK;
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cv::Mat distorted = cv::imread(file), undistorted;
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{
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newK(0, 0) = 100;
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newK(1, 1) = 100;
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cv::fisheye::undistortImage(distorted, undistorted, K, D, newK);
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cv::fisheye::undistortImage(distorted, undistorted, theK, theD, newK);
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cv::Mat correct = cv::imread(combine(datasets_repository_path, "new_f_100.png"));
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if (correct.empty())
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CV_Assert(cv::imwrite(combine(datasets_repository_path, "new_f_100.png"), undistorted));
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@ -118,8 +118,8 @@ TEST_F(fisheyeTest, DISABLED_undistortImage)
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}
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{
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double balance = 1.0;
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cv::fisheye::estimateNewCameraMatrixForUndistortRectify(K, D, distorted.size(), cv::noArray(), newK, balance);
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cv::fisheye::undistortImage(distorted, undistorted, K, D, newK);
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cv::fisheye::estimateNewCameraMatrixForUndistortRectify(theK, theD, distorted.size(), cv::noArray(), newK, balance);
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cv::fisheye::undistortImage(distorted, undistorted, theK, theD, newK);
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cv::Mat correct = cv::imread(combine(datasets_repository_path, "balance_1.0.png"));
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if (correct.empty())
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CV_Assert(cv::imwrite(combine(datasets_repository_path, "balance_1.0.png"), undistorted));
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@ -129,8 +129,8 @@ TEST_F(fisheyeTest, DISABLED_undistortImage)
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{
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double balance = 0.0;
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cv::fisheye::estimateNewCameraMatrixForUndistortRectify(K, D, distorted.size(), cv::noArray(), newK, balance);
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cv::fisheye::undistortImage(distorted, undistorted, K, D, newK);
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cv::fisheye::estimateNewCameraMatrixForUndistortRectify(theK, theD, distorted.size(), cv::noArray(), newK, balance);
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cv::fisheye::undistortImage(distorted, undistorted, theK, theD, newK);
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cv::Mat correct = cv::imread(combine(datasets_repository_path, "balance_0.0.png"));
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if (correct.empty())
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CV_Assert(cv::imwrite(combine(datasets_repository_path, "balance_0.0.png"), undistorted));
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@ -143,7 +143,7 @@ TEST_F(fisheyeTest, jacobians)
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{
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int n = 10;
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cv::Mat X(1, n, CV_64FC3);
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cv::Mat om(3, 1, CV_64F), T(3, 1, CV_64F);
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cv::Mat om(3, 1, CV_64F), theT(3, 1, CV_64F);
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cv::Mat f(2, 1, CV_64F), c(2, 1, CV_64F);
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cv::Mat k(4, 1, CV_64F);
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double alpha;
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@ -156,8 +156,8 @@ TEST_F(fisheyeTest, jacobians)
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r.fill(om, cv::RNG::NORMAL, 0, 1);
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om = cv::abs(om);
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r.fill(T, cv::RNG::NORMAL, 0, 1);
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T = cv::abs(T); T.at<double>(2) = 4; T *= 10;
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r.fill(theT, cv::RNG::NORMAL, 0, 1);
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theT = cv::abs(theT); theT.at<double>(2) = 4; theT *= 10;
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r.fill(f, cv::RNG::NORMAL, 0, 1);
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f = cv::abs(f) * 1000;
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@ -171,19 +171,19 @@ TEST_F(fisheyeTest, jacobians)
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alpha = 0.01*r.gaussian(1);
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cv::Mat x1, x2, xpred;
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cv::Matx33d K(f.at<double>(0), alpha * f.at<double>(0), c.at<double>(0),
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cv::Matx33d theK(f.at<double>(0), alpha * f.at<double>(0), c.at<double>(0),
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0, f.at<double>(1), c.at<double>(1),
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0, 0, 1);
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cv::Mat jacobians;
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cv::fisheye::projectPoints(X, x1, om, T, K, k, alpha, jacobians);
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cv::fisheye::projectPoints(X, x1, om, theT, theK, k, alpha, jacobians);
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//test on T:
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cv::Mat dT(3, 1, CV_64FC1);
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r.fill(dT, cv::RNG::NORMAL, 0, 1);
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dT *= 1e-9*cv::norm(T);
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cv::Mat T2 = T + dT;
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cv::fisheye::projectPoints(X, x2, om, T2, K, k, alpha, cv::noArray());
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dT *= 1e-9*cv::norm(theT);
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cv::Mat T2 = theT + dT;
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cv::fisheye::projectPoints(X, x2, om, T2, theK, k, alpha, cv::noArray());
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xpred = x1 + cv::Mat(jacobians.colRange(11,14) * dT).reshape(2, 1);
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CV_Assert (cv::norm(x2 - xpred) < 1e-10);
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@ -192,7 +192,7 @@ TEST_F(fisheyeTest, jacobians)
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r.fill(dom, cv::RNG::NORMAL, 0, 1);
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dom *= 1e-9*cv::norm(om);
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cv::Mat om2 = om + dom;
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cv::fisheye::projectPoints(X, x2, om2, T, K, k, alpha, cv::noArray());
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cv::fisheye::projectPoints(X, x2, om2, theT, theK, k, alpha, cv::noArray());
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xpred = x1 + cv::Mat(jacobians.colRange(8,11) * dom).reshape(2, 1);
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CV_Assert (cv::norm(x2 - xpred) < 1e-10);
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@ -200,8 +200,8 @@ TEST_F(fisheyeTest, jacobians)
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cv::Mat df(2, 1, CV_64FC1);
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r.fill(df, cv::RNG::NORMAL, 0, 1);
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df *= 1e-9*cv::norm(f);
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cv::Matx33d K2 = K + cv::Matx33d(df.at<double>(0), df.at<double>(0) * alpha, 0, 0, df.at<double>(1), 0, 0, 0, 0);
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cv::fisheye::projectPoints(X, x2, om, T, K2, k, alpha, cv::noArray());
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cv::Matx33d K2 = theK + cv::Matx33d(df.at<double>(0), df.at<double>(0) * alpha, 0, 0, df.at<double>(1), 0, 0, 0, 0);
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cv::fisheye::projectPoints(X, x2, om, theT, K2, k, alpha, cv::noArray());
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xpred = x1 + cv::Mat(jacobians.colRange(0,2) * df).reshape(2, 1);
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CV_Assert (cv::norm(x2 - xpred) < 1e-10);
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@ -209,8 +209,8 @@ TEST_F(fisheyeTest, jacobians)
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cv::Mat dc(2, 1, CV_64FC1);
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r.fill(dc, cv::RNG::NORMAL, 0, 1);
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dc *= 1e-9*cv::norm(c);
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K2 = K + cv::Matx33d(0, 0, dc.at<double>(0), 0, 0, dc.at<double>(1), 0, 0, 0);
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cv::fisheye::projectPoints(X, x2, om, T, K2, k, alpha, cv::noArray());
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K2 = theK + cv::Matx33d(0, 0, dc.at<double>(0), 0, 0, dc.at<double>(1), 0, 0, 0);
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cv::fisheye::projectPoints(X, x2, om, theT, K2, k, alpha, cv::noArray());
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xpred = x1 + cv::Mat(jacobians.colRange(2,4) * dc).reshape(2, 1);
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CV_Assert (cv::norm(x2 - xpred) < 1e-10);
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@ -219,7 +219,7 @@ TEST_F(fisheyeTest, jacobians)
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r.fill(dk, cv::RNG::NORMAL, 0, 1);
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dk *= 1e-9*cv::norm(k);
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cv::Mat k2 = k + dk;
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cv::fisheye::projectPoints(X, x2, om, T, K, k2, alpha, cv::noArray());
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cv::fisheye::projectPoints(X, x2, om, theT, theK, k2, alpha, cv::noArray());
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xpred = x1 + cv::Mat(jacobians.colRange(4,8) * dk).reshape(2, 1);
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CV_Assert (cv::norm(x2 - xpred) < 1e-10);
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@ -228,8 +228,8 @@ TEST_F(fisheyeTest, jacobians)
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r.fill(dalpha, cv::RNG::NORMAL, 0, 1);
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dalpha *= 1e-9*cv::norm(f);
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double alpha2 = alpha + dalpha.at<double>(0);
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K2 = K + cv::Matx33d(0, f.at<double>(0) * dalpha.at<double>(0), 0, 0, 0, 0, 0, 0, 0);
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cv::fisheye::projectPoints(X, x2, om, T, K, k, alpha2, cv::noArray());
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K2 = theK + cv::Matx33d(0, f.at<double>(0) * dalpha.at<double>(0), 0, 0, 0, 0, 0, 0, 0);
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cv::fisheye::projectPoints(X, x2, om, theT, theK, k, alpha2, cv::noArray());
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xpred = x1 + cv::Mat(jacobians.col(14) * dalpha).reshape(2, 1);
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CV_Assert (cv::norm(x2 - xpred) < 1e-10);
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}
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@ -259,14 +259,14 @@ TEST_F(fisheyeTest, Calibration)
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flag |= cv::fisheye::CALIB_CHECK_COND;
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flag |= cv::fisheye::CALIB_FIX_SKEW;
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cv::Matx33d K;
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cv::Vec4d D;
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cv::Matx33d theK;
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cv::Vec4d theD;
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cv::fisheye::calibrate(objectPoints, imagePoints, imageSize, K, D,
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cv::fisheye::calibrate(objectPoints, imagePoints, imageSize, theK, theD,
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cv::noArray(), cv::noArray(), flag, cv::TermCriteria(3, 20, 1e-6));
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EXPECT_MAT_NEAR(K, this->K, 1e-10);
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EXPECT_MAT_NEAR(D, this->D, 1e-10);
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EXPECT_MAT_NEAR(theK, this->K, 1e-10);
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EXPECT_MAT_NEAR(theD, this->D, 1e-10);
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}
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TEST_F(fisheyeTest, Homography)
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@ -303,15 +303,15 @@ TEST_F(fisheyeTest, Homography)
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int Np = imagePointsNormalized.cols;
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cv::calcCovarMatrix(_objectPoints, covObjectPoints, objectPointsMean, cv::COVAR_NORMAL | cv::COVAR_COLS);
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cv::SVD svd(covObjectPoints);
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cv::Mat R(svd.vt);
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cv::Mat theR(svd.vt);
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if (cv::norm(R(cv::Rect(2, 0, 1, 2))) < 1e-6)
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R = cv::Mat::eye(3,3, CV_64FC1);
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if (cv::determinant(R) < 0)
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R = -R;
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if (cv::norm(theR(cv::Rect(2, 0, 1, 2))) < 1e-6)
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theR = cv::Mat::eye(3,3, CV_64FC1);
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if (cv::determinant(theR) < 0)
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theR = -theR;
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cv::Mat T = -R * objectPointsMean;
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cv::Mat X_new = R * _objectPoints + T * cv::Mat::ones(1, Np, CV_64FC1);
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cv::Mat theT = -theR * objectPointsMean;
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cv::Mat X_new = theR * _objectPoints + theT * cv::Mat::ones(1, Np, CV_64FC1);
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cv::Mat H = cv::internal::ComputeHomography(imagePointsNormalized, X_new.rowRange(0, 2));
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cv::Mat M = cv::Mat::ones(3, X_new.cols, CV_64FC1);
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@ -355,19 +355,19 @@ TEST_F(fisheyeTest, EtimateUncertainties)
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flag |= cv::fisheye::CALIB_CHECK_COND;
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flag |= cv::fisheye::CALIB_FIX_SKEW;
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cv::Matx33d K;
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cv::Vec4d D;
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cv::Matx33d theK;
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cv::Vec4d theD;
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std::vector<cv::Vec3d> rvec;
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std::vector<cv::Vec3d> tvec;
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cv::fisheye::calibrate(objectPoints, imagePoints, imageSize, K, D,
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cv::fisheye::calibrate(objectPoints, imagePoints, imageSize, theK, theD,
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rvec, tvec, flag, cv::TermCriteria(3, 20, 1e-6));
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cv::internal::IntrinsicParams param, errors;
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cv::Vec2d err_std;
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double thresh_cond = 1e6;
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int check_cond = 1;
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param.Init(cv::Vec2d(K(0,0), K(1,1)), cv::Vec2d(K(0,2), K(1, 2)), D);
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param.Init(cv::Vec2d(theK(0,0), theK(1,1)), cv::Vec2d(theK(0,2), theK(1, 2)), theD);
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param.isEstimate = std::vector<int>(9, 1);
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param.isEstimate[4] = 0;
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@ -399,12 +399,12 @@ TEST_F(fisheyeTest, rectify)
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cv::Matx33d K1 = this->K, K2 = K1;
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cv::Mat D1 = cv::Mat(this->D), D2 = D1;
|
||||
|
||||
cv::Vec3d T = this->T;
|
||||
cv::Matx33d R = this->R;
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cv::Vec3d theT = this->T;
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||||
cv::Matx33d theR = this->R;
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||||
|
||||
double balance = 0.0, fov_scale = 1.1;
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||||
cv::Mat R1, R2, P1, P2, Q;
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cv::fisheye::stereoRectify(K1, D1, K2, D2, calibration_size, R, T, R1, R2, P1, P2, Q,
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cv::fisheye::stereoRectify(K1, D1, K2, D2, calibration_size, theR, theT, R1, R2, P1, P2, Q,
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cv::CALIB_ZERO_DISPARITY, requested_size, balance, fov_scale);
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||||
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cv::Mat lmapx, lmapy, rmapx, rmapy;
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@ -468,8 +468,8 @@ TEST_F(fisheyeTest, stereoCalibrate)
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fs_object[cv::format("image_%d", i )] >> objectPoints[i];
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fs_object.release();
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||||
cv::Matx33d K1, K2, R;
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||||
cv::Vec3d T;
|
||||
cv::Matx33d K1, K2, theR;
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cv::Vec3d theT;
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cv::Vec4d D1, D2;
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int flag = 0;
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@ -479,7 +479,7 @@ TEST_F(fisheyeTest, stereoCalibrate)
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// flag |= cv::fisheye::CALIB_FIX_INTRINSIC;
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||||
|
||||
cv::fisheye::stereoCalibrate(objectPoints, leftPoints, rightPoints,
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||||
K1, D1, K2, D2, imageSize, R, T, flag,
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||||
K1, D1, K2, D2, imageSize, theR, theT, flag,
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||||
cv::TermCriteria(3, 12, 0));
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||||
|
||||
cv::Matx33d R_correct( 0.9975587205950972, 0.06953016383322372, 0.006492709911733523,
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@ -497,8 +497,8 @@ TEST_F(fisheyeTest, stereoCalibrate)
|
||||
cv::Vec4d D1_correct (-7.44253716539556e-05, -0.00702662033932424, 0.00737569823650885, -0.00342230256441771);
|
||||
cv::Vec4d D2_correct (-0.0130785435677431, 0.0284434505383497, -0.0360333869900506, 0.0144724062347222);
|
||||
|
||||
EXPECT_MAT_NEAR(R, R_correct, 1e-10);
|
||||
EXPECT_MAT_NEAR(T, T_correct, 1e-10);
|
||||
EXPECT_MAT_NEAR(theR, R_correct, 1e-10);
|
||||
EXPECT_MAT_NEAR(theT, T_correct, 1e-10);
|
||||
|
||||
EXPECT_MAT_NEAR(K1, K1_correct, 1e-10);
|
||||
EXPECT_MAT_NEAR(K2, K2_correct, 1e-10);
|
||||
@ -536,8 +536,8 @@ TEST_F(fisheyeTest, stereoCalibrateFixIntrinsic)
|
||||
fs_object[cv::format("image_%d", i )] >> objectPoints[i];
|
||||
fs_object.release();
|
||||
|
||||
cv::Matx33d R;
|
||||
cv::Vec3d T;
|
||||
cv::Matx33d theR;
|
||||
cv::Vec3d theT;
|
||||
|
||||
int flag = 0;
|
||||
flag |= cv::fisheye::CALIB_RECOMPUTE_EXTRINSIC;
|
||||
@ -557,7 +557,7 @@ TEST_F(fisheyeTest, stereoCalibrateFixIntrinsic)
|
||||
cv::Vec4d D2 (-0.0130785435677431, 0.0284434505383497, -0.0360333869900506, 0.0144724062347222);
|
||||
|
||||
cv::fisheye::stereoCalibrate(objectPoints, leftPoints, rightPoints,
|
||||
K1, D1, K2, D2, imageSize, R, T, flag,
|
||||
K1, D1, K2, D2, imageSize, theR, theT, flag,
|
||||
cv::TermCriteria(3, 12, 0));
|
||||
|
||||
cv::Matx33d R_correct( 0.9975587205950972, 0.06953016383322372, 0.006492709911733523,
|
||||
@ -566,8 +566,8 @@ TEST_F(fisheyeTest, stereoCalibrateFixIntrinsic)
|
||||
cv::Vec3d T_correct(-0.099402724724121, 0.00270812139265413, 0.00129330292472699);
|
||||
|
||||
|
||||
EXPECT_MAT_NEAR(R, R_correct, 1e-10);
|
||||
EXPECT_MAT_NEAR(T, T_correct, 1e-10);
|
||||
EXPECT_MAT_NEAR(theR, R_correct, 1e-10);
|
||||
EXPECT_MAT_NEAR(theT, T_correct, 1e-10);
|
||||
}
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
|
||||
@ -1504,7 +1504,7 @@ static bool ocl_binary_op(InputArray _src1, InputArray _src2, OutputArray _dst,
|
||||
k.args(src1arg, src2arg, maskarg, dstarg);
|
||||
}
|
||||
|
||||
size_t globalsize[] = { src1.cols * cn / kercn, (src1.rows + rowsPerWI - 1) / rowsPerWI };
|
||||
size_t globalsize[] = { (size_t)src1.cols * cn / kercn, ((size_t)src1.rows + rowsPerWI - 1) / rowsPerWI };
|
||||
return k.run(2, globalsize, 0, false);
|
||||
}
|
||||
|
||||
@ -1917,7 +1917,7 @@ static bool ocl_arithm_op(InputArray _src1, InputArray _src2, OutputArray _dst,
|
||||
k.args(src1arg, src2arg, maskarg, dstarg);
|
||||
}
|
||||
|
||||
size_t globalsize[] = { src1.cols * cn / kercn, (src1.rows + rowsPerWI - 1) / rowsPerWI };
|
||||
size_t globalsize[] = { (size_t)src1.cols * cn / kercn, ((size_t)src1.rows + rowsPerWI - 1) / rowsPerWI };
|
||||
return k.run(2, globalsize, NULL, false);
|
||||
}
|
||||
|
||||
@ -4974,7 +4974,7 @@ static bool ocl_compare(InputArray _src1, InputArray _src2, OutputArray _dst, in
|
||||
ocl::KernelArg::WriteOnly(dst, cn, kercn));
|
||||
}
|
||||
|
||||
size_t globalsize[2] = { dst.cols * cn / kercn, (dst.rows + rowsPerWI - 1) / rowsPerWI };
|
||||
size_t globalsize[2] = { (size_t)dst.cols * cn / kercn, ((size_t)dst.rows + rowsPerWI - 1) / rowsPerWI };
|
||||
return k.run(2, globalsize, NULL, false);
|
||||
}
|
||||
|
||||
@ -5668,7 +5668,7 @@ static bool ocl_inRange( InputArray _src, InputArray _lowerb,
|
||||
ker.args(srcarg, dstarg, ocl::KernelArg::ReadOnlyNoSize(lscalaru),
|
||||
ocl::KernelArg::ReadOnlyNoSize(uscalaru), rowsPerWI);
|
||||
|
||||
size_t globalsize[2] = { ssize.width / colsPerWI, (ssize.height + rowsPerWI - 1) / rowsPerWI };
|
||||
size_t globalsize[2] = { (size_t)ssize.width / colsPerWI, ((size_t)ssize.height + rowsPerWI - 1) / rowsPerWI };
|
||||
return ker.run(2, globalsize, NULL, false);
|
||||
}
|
||||
|
||||
|
||||
@ -902,7 +902,7 @@ static bool ocl_split( InputArray _m, OutputArrayOfArrays _mv )
|
||||
argidx = k.set(argidx, ocl::KernelArg::WriteOnlyNoSize(dst[i]));
|
||||
k.set(argidx, rowsPerWI);
|
||||
|
||||
size_t globalsize[2] = { size.width, (size.height + rowsPerWI - 1) / rowsPerWI };
|
||||
size_t globalsize[2] = { (size_t)size.width, ((size_t)size.height + rowsPerWI - 1) / rowsPerWI };
|
||||
return k.run(2, globalsize, NULL, false);
|
||||
}
|
||||
|
||||
@ -1069,7 +1069,7 @@ static bool ocl_merge( InputArrayOfArrays _mv, OutputArray _dst )
|
||||
argidx = k.set(argidx, ocl::KernelArg::WriteOnly(dst));
|
||||
k.set(argidx, rowsPerWI);
|
||||
|
||||
size_t globalsize[2] = { dst.cols, (dst.rows + rowsPerWI - 1) / rowsPerWI };
|
||||
size_t globalsize[2] = { (size_t)dst.cols, ((size_t)dst.rows + rowsPerWI - 1) / rowsPerWI };
|
||||
return k.run(2, globalsize, NULL, false);
|
||||
}
|
||||
|
||||
@ -1338,7 +1338,7 @@ static bool ocl_mixChannels(InputArrayOfArrays _src, InputOutputArrayOfArrays _d
|
||||
argindex = k.set(argindex, size.width);
|
||||
k.set(argindex, rowsPerWI);
|
||||
|
||||
size_t globalsize[2] = { size.width, (size.height + rowsPerWI - 1) / rowsPerWI };
|
||||
size_t globalsize[2] = { (size_t)size.width, ((size_t)size.height + rowsPerWI - 1) / rowsPerWI };
|
||||
return k.run(2, globalsize, NULL, false);
|
||||
}
|
||||
|
||||
@ -5505,7 +5505,7 @@ static bool ocl_convertScaleAbs( InputArray _src, OutputArray _dst, double alpha
|
||||
else if (wdepth == CV_64F)
|
||||
k.args(srcarg, dstarg, alpha, beta);
|
||||
|
||||
size_t globalsize[2] = { src.cols * cn / kercn, (src.rows + rowsPerWI - 1) / rowsPerWI };
|
||||
size_t globalsize[2] = { (size_t)src.cols * cn / kercn, ((size_t)src.rows + rowsPerWI - 1) / rowsPerWI };
|
||||
return k.run(2, globalsize, NULL, false);
|
||||
}
|
||||
|
||||
@ -5673,7 +5673,7 @@ static bool ocl_LUT(InputArray _src, InputArray _lut, OutputArray _dst)
|
||||
k.args(ocl::KernelArg::ReadOnlyNoSize(src), ocl::KernelArg::ReadOnlyNoSize(lut),
|
||||
ocl::KernelArg::WriteOnly(dst, dcn, kercn));
|
||||
|
||||
size_t globalSize[2] = { dst.cols * dcn / kercn, (dst.rows + 3) / 4 };
|
||||
size_t globalSize[2] = { (size_t)dst.cols * dcn / kercn, ((size_t)dst.rows + 3) / 4 };
|
||||
return k.run(2, globalSize, NULL, false);
|
||||
}
|
||||
|
||||
@ -6053,7 +6053,7 @@ static bool ocl_normalize( InputArray _src, InputOutputArray _dst, InputArray _m
|
||||
k.args(srcarg, maskarg, dstarg);
|
||||
}
|
||||
|
||||
size_t globalsize[2] = { src.cols, (src.rows + rowsPerWI - 1) / rowsPerWI };
|
||||
size_t globalsize[2] = { (size_t)src.cols, ((size_t)src.rows + rowsPerWI - 1) / rowsPerWI };
|
||||
return k.run(2, globalsize, NULL, false);
|
||||
}
|
||||
else
|
||||
|
||||
@ -692,7 +692,7 @@ static bool ocl_flip(InputArray _src, OutputArray _dst, int flipCode )
|
||||
size_t maxWorkGroupSize = dev.maxWorkGroupSize();
|
||||
CV_Assert(maxWorkGroupSize % 4 == 0);
|
||||
|
||||
size_t globalsize[2] = { cols, (rows + pxPerWIy - 1) / pxPerWIy },
|
||||
size_t globalsize[2] = { (size_t)cols, ((size_t)rows + pxPerWIy - 1) / pxPerWIy },
|
||||
localsize[2] = { maxWorkGroupSize / 4, 4 };
|
||||
return k.run(2, globalsize, (flipType == FLIP_COLS) && !dev.isIntel() ? localsize : NULL, false);
|
||||
}
|
||||
@ -833,7 +833,7 @@ static bool ocl_repeat(InputArray _src, int ny, int nx, OutputArray _dst)
|
||||
UMat src = _src.getUMat(), dst = _dst.getUMat();
|
||||
k.args(ocl::KernelArg::ReadOnly(src, cn, kercn), ocl::KernelArg::WriteOnlyNoSize(dst));
|
||||
|
||||
size_t globalsize[] = { src.cols * cn / kercn, (src.rows + rowsPerWI - 1) / rowsPerWI };
|
||||
size_t globalsize[] = { (size_t)src.cols * cn / kercn, ((size_t)src.rows + rowsPerWI - 1) / rowsPerWI };
|
||||
return k.run(2, globalsize, NULL, false);
|
||||
}
|
||||
|
||||
@ -1110,7 +1110,7 @@ static bool ocl_copyMakeBorder( InputArray _src, OutputArray _dst, int top, int
|
||||
k.args(ocl::KernelArg::ReadOnly(src), ocl::KernelArg::WriteOnly(dst),
|
||||
top, left, ocl::KernelArg::Constant(Mat(1, 1, sctype, value)));
|
||||
|
||||
size_t globalsize[2] = { dst.cols, (dst.rows + rowsPerWI - 1) / rowsPerWI };
|
||||
size_t globalsize[2] = { (size_t)dst.cols, ((size_t)dst.rows + rowsPerWI - 1) / rowsPerWI };
|
||||
return k.run(2, globalsize, NULL, false);
|
||||
}
|
||||
|
||||
|
||||
@ -729,7 +729,7 @@ bool ocl_convert_nv12_to_bgr(
|
||||
|
||||
k.args(clImageY, clImageUV, clBuffer, step, cols, rows);
|
||||
|
||||
size_t globalsize[] = { cols, rows };
|
||||
size_t globalsize[] = { (size_t)cols, (size_t)rows };
|
||||
return k.run(2, globalsize, 0, false);
|
||||
}
|
||||
|
||||
@ -750,7 +750,7 @@ bool ocl_convert_bgr_to_nv12(
|
||||
|
||||
k.args(clBuffer, step, cols, rows, clImageY, clImageUV);
|
||||
|
||||
size_t globalsize[] = { cols, rows };
|
||||
size_t globalsize[] = { (size_t)cols, (size_t)rows };
|
||||
return k.run(2, globalsize, 0, false);
|
||||
}
|
||||
|
||||
@ -834,7 +834,7 @@ void convertToD3D11Texture2D(InputArray src, ID3D11Texture2D* pD3D11Texture2D)
|
||||
{
|
||||
size_t offset = 0; // TODO
|
||||
size_t origin[3] = { 0, 0, 0 };
|
||||
size_t region[3] = { u.cols, u.rows, 1 };
|
||||
size_t region[3] = { (size_t)u.cols, (size_t)u.rows, 1 };
|
||||
|
||||
status = clEnqueueCopyBufferToImage(q, clBuffer, clImage, offset, origin, region, 0, NULL, NULL);
|
||||
if (status != CL_SUCCESS)
|
||||
@ -939,7 +939,7 @@ void convertFromD3D11Texture2D(ID3D11Texture2D* pD3D11Texture2D, OutputArray dst
|
||||
{
|
||||
size_t offset = 0; // TODO
|
||||
size_t origin[3] = { 0, 0, 0 };
|
||||
size_t region[3] = { u.cols, u.rows, 1 };
|
||||
size_t region[3] = { (size_t)u.cols, (size_t)u.rows, 1 };
|
||||
|
||||
status = clEnqueueCopyImageToBuffer(q, clImage, clBuffer, origin, region, offset, 0, NULL, NULL);
|
||||
if (status != CL_SUCCESS)
|
||||
@ -1041,7 +1041,7 @@ void convertToD3D10Texture2D(InputArray src, ID3D10Texture2D* pD3D10Texture2D)
|
||||
CV_Error(cv::Error::OpenCLApiCallError, "OpenCL: clEnqueueAcquireD3D10ObjectsKHR failed");
|
||||
size_t offset = 0; // TODO
|
||||
size_t dst_origin[3] = {0, 0, 0};
|
||||
size_t region[3] = {u.cols, u.rows, 1};
|
||||
size_t region[3] = {(size_t)u.cols, (size_t)u.rows, 1};
|
||||
status = clEnqueueCopyBufferToImage(q, clBuffer, clImage, offset, dst_origin, region, 0, NULL, NULL);
|
||||
if (status != CL_SUCCESS)
|
||||
CV_Error(cv::Error::OpenCLApiCallError, "OpenCL: clEnqueueCopyBufferToImage failed");
|
||||
@ -1100,7 +1100,7 @@ void convertFromD3D10Texture2D(ID3D10Texture2D* pD3D10Texture2D, OutputArray dst
|
||||
CV_Error(cv::Error::OpenCLApiCallError, "OpenCL: clEnqueueAcquireD3D10ObjectsKHR failed");
|
||||
size_t offset = 0; // TODO
|
||||
size_t src_origin[3] = {0, 0, 0};
|
||||
size_t region[3] = {u.cols, u.rows, 1};
|
||||
size_t region[3] = {(size_t)u.cols, (size_t)u.rows, 1};
|
||||
status = clEnqueueCopyImageToBuffer(q, clImage, clBuffer, src_origin, region, offset, 0, NULL, NULL);
|
||||
if (status != CL_SUCCESS)
|
||||
CV_Error(cv::Error::OpenCLApiCallError, "OpenCL: clEnqueueCopyImageToBuffer failed");
|
||||
@ -1195,7 +1195,7 @@ void convertToDirect3DSurface9(InputArray src, IDirect3DSurface9* pDirect3DSurfa
|
||||
CV_Error(cv::Error::OpenCLApiCallError, "OpenCL: clEnqueueAcquireDX9MediaSurfacesKHR failed");
|
||||
size_t offset = 0; // TODO
|
||||
size_t dst_origin[3] = {0, 0, 0};
|
||||
size_t region[3] = {u.cols, u.rows, 1};
|
||||
size_t region[3] = {(size_t)u.cols, (size_t)u.rows, 1};
|
||||
status = clEnqueueCopyBufferToImage(q, clBuffer, clImage, offset, dst_origin, region, 0, NULL, NULL);
|
||||
if (status != CL_SUCCESS)
|
||||
CV_Error(cv::Error::OpenCLApiCallError, "OpenCL: clEnqueueCopyBufferToImage failed");
|
||||
@ -1261,7 +1261,7 @@ void convertFromDirect3DSurface9(IDirect3DSurface9* pDirect3DSurface9, OutputArr
|
||||
CV_Error(cv::Error::OpenCLApiCallError, "OpenCL: clEnqueueAcquireDX9MediaSurfacesKHR failed");
|
||||
size_t offset = 0; // TODO
|
||||
size_t src_origin[3] = {0, 0, 0};
|
||||
size_t region[3] = {u.cols, u.rows, 1};
|
||||
size_t region[3] = {(size_t)u.cols, (size_t)u.rows, 1};
|
||||
status = clEnqueueCopyImageToBuffer(q, clImage, clBuffer, src_origin, region, offset, 0, NULL, NULL);
|
||||
if (status != CL_SUCCESS)
|
||||
CV_Error(cv::Error::OpenCLApiCallError, "OpenCL: clEnqueueCopyImageToBuffer failed");
|
||||
|
||||
@ -2934,7 +2934,7 @@ static bool ocl_mulSpectrums( InputArray _srcA, InputArray _srcB,
|
||||
k.args(ocl::KernelArg::ReadOnlyNoSize(A), ocl::KernelArg::ReadOnlyNoSize(B),
|
||||
ocl::KernelArg::WriteOnly(dst), rowsPerWI);
|
||||
|
||||
size_t globalsize[2] = { asize.width, (asize.height + rowsPerWI - 1) / rowsPerWI };
|
||||
size_t globalsize[2] = { (size_t)asize.width, ((size_t)asize.height + rowsPerWI - 1) / rowsPerWI };
|
||||
return k.run(2, globalsize, NULL, false);
|
||||
}
|
||||
|
||||
|
||||
@ -93,7 +93,7 @@ static bool ocl_math_op(InputArray _src1, InputArray _src2, OutputArray _dst, in
|
||||
else
|
||||
k.args(src1arg, src2arg, dstarg);
|
||||
|
||||
size_t globalsize[] = { src1.cols * cn / kercn, (src1.rows + rowsPerWI - 1) / rowsPerWI };
|
||||
size_t globalsize[] = { (size_t)src1.cols * cn / kercn, ((size_t)src1.rows + rowsPerWI - 1) / rowsPerWI };
|
||||
return k.run(2, globalsize, 0, false);
|
||||
}
|
||||
|
||||
@ -330,7 +330,7 @@ static bool ocl_cartToPolar( InputArray _src1, InputArray _src2,
|
||||
ocl::KernelArg::WriteOnly(dst1, cn),
|
||||
ocl::KernelArg::WriteOnlyNoSize(dst2));
|
||||
|
||||
size_t globalsize[2] = { dst1.cols * cn, (dst1.rows + rowsPerWI - 1) / rowsPerWI };
|
||||
size_t globalsize[2] = { (size_t)dst1.cols * cn, ((size_t)dst1.rows + rowsPerWI - 1) / rowsPerWI };
|
||||
return k.run(2, globalsize, NULL, false);
|
||||
}
|
||||
|
||||
@ -612,7 +612,7 @@ static bool ocl_polarToCart( InputArray _mag, InputArray _angle,
|
||||
k.args(ocl::KernelArg::ReadOnlyNoSize(mag), ocl::KernelArg::ReadOnlyNoSize(angle),
|
||||
ocl::KernelArg::WriteOnly(dst1, cn), ocl::KernelArg::WriteOnlyNoSize(dst2));
|
||||
|
||||
size_t globalsize[2] = { dst1.cols * cn, (dst1.rows + rowsPerWI - 1) / rowsPerWI };
|
||||
size_t globalsize[2] = { (size_t)dst1.cols * cn, ((size_t)dst1.rows + rowsPerWI - 1) / rowsPerWI };
|
||||
return k.run(2, globalsize, NULL, false);
|
||||
}
|
||||
|
||||
@ -1181,8 +1181,8 @@ iPow_i( const T* src, T* dst, int len, int power )
|
||||
{
|
||||
T tab[5] =
|
||||
{
|
||||
power == -1 ? saturate_cast<T>(-1) : 0, (power & 1) ? -1 : 1,
|
||||
std::numeric_limits<T>::max(), 1, power == -1 ? 1 : 0
|
||||
saturate_cast<T>(power == -1 ? -1 : 0), saturate_cast<T>((power & 1) ? -1 : 1),
|
||||
std::numeric_limits<T>::max(), 1, saturate_cast<T>(power == -1 ? 1 : 0)
|
||||
};
|
||||
for( int i = 0; i < len; i++ )
|
||||
{
|
||||
@ -1349,7 +1349,7 @@ static bool ocl_pow(InputArray _src, double power, OutputArray _dst,
|
||||
k.args(srcarg, dstarg, power);
|
||||
}
|
||||
|
||||
size_t globalsize[2] = { dst.cols * cn, (dst.rows + rowsPerWI - 1) / rowsPerWI };
|
||||
size_t globalsize[2] = { (size_t)dst.cols * cn, ((size_t)dst.rows + rowsPerWI - 1) / rowsPerWI };
|
||||
return k.run(2, globalsize, NULL, false);
|
||||
}
|
||||
|
||||
@ -1734,7 +1734,7 @@ static bool ocl_patchNaNs( InputOutputArray _a, float value )
|
||||
k.args(ocl::KernelArg::ReadOnlyNoSize(a),
|
||||
ocl::KernelArg::WriteOnly(a, cn), (float)value);
|
||||
|
||||
size_t globalsize[2] = { a.cols * cn, (a.rows + rowsPerWI - 1) / rowsPerWI };
|
||||
size_t globalsize[2] = { (size_t)a.cols * cn, ((size_t)a.rows + rowsPerWI - 1) / rowsPerWI };
|
||||
return k.run(2, globalsize, NULL, false);
|
||||
}
|
||||
|
||||
|
||||
@ -859,8 +859,8 @@ static bool ocl_gemm( InputArray matA, InputArray matB, double alpha,
|
||||
ocl::KernelArg::ReadWrite(D, cn, kercn),
|
||||
sizeA.width, (float)alpha, (float)beta);
|
||||
|
||||
size_t globalsize[2] = { sizeD.width * cn / kercn, sizeD.height};
|
||||
size_t localsize[2] = { block_size, block_size};
|
||||
size_t globalsize[2] = { (size_t)sizeD.width * cn / kercn, (size_t)sizeD.height};
|
||||
size_t localsize[2] = { (size_t)block_size, (size_t)block_size};
|
||||
return k.run(2, globalsize, block_size!=1 ? localsize : NULL, false);
|
||||
}
|
||||
#endif
|
||||
@ -2304,7 +2304,7 @@ static bool ocl_scaleAdd( InputArray _src1, double alpha, InputArray _src2, Outp
|
||||
else
|
||||
k.args(src1arg, src2arg, dstarg, alpha);
|
||||
|
||||
size_t globalsize[2] = { dst.cols * cn / kercn, (dst.rows + rowsPerWI - 1) / rowsPerWI };
|
||||
size_t globalsize[2] = { (size_t)dst.cols * cn / kercn, ((size_t)dst.rows + rowsPerWI - 1) / rowsPerWI };
|
||||
return k.run(2, globalsize, NULL, false);
|
||||
}
|
||||
|
||||
|
||||
@ -1583,12 +1583,12 @@ void MatOp_Initializer::multiply(const MatExpr& e, double s, MatExpr& res) const
|
||||
|
||||
inline void MatOp_Initializer::makeExpr(MatExpr& res, int method, Size sz, int type, double alpha)
|
||||
{
|
||||
res = MatExpr(getGlobalMatOpInitializer(), method, Mat(sz, type, (void*)0xEEEEEEEE), Mat(), Mat(), alpha, 0);
|
||||
res = MatExpr(getGlobalMatOpInitializer(), method, Mat(sz, type, (void*)(size_t)0xEEEEEEEE), Mat(), Mat(), alpha, 0);
|
||||
}
|
||||
|
||||
inline void MatOp_Initializer::makeExpr(MatExpr& res, int method, int ndims, const int* sizes, int type, double alpha)
|
||||
{
|
||||
res = MatExpr(getGlobalMatOpInitializer(), method, Mat(ndims, sizes, type, (void*)0xEEEEEEEE), Mat(), Mat(), alpha, 0);
|
||||
res = MatExpr(getGlobalMatOpInitializer(), method, Mat(ndims, sizes, type, (void*)(size_t)0xEEEEEEEE), Mat(), Mat(), alpha, 0);
|
||||
}
|
||||
|
||||
///////////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
|
||||
@ -2831,7 +2831,7 @@ static bool ocl_setIdentity( InputOutputArray _m, const Scalar& s )
|
||||
k.args(ocl::KernelArg::WriteOnly(m, cn, kercn),
|
||||
ocl::KernelArg::Constant(Mat(1, 1, sctype, s)));
|
||||
|
||||
size_t globalsize[2] = { m.cols * cn / kercn, (m.rows + rowsPerWI - 1) / rowsPerWI };
|
||||
size_t globalsize[2] = { (size_t)m.cols * cn / kercn, ((size_t)m.rows + rowsPerWI - 1) / rowsPerWI };
|
||||
return k.run(2, globalsize, NULL, false);
|
||||
}
|
||||
|
||||
@ -3071,7 +3071,7 @@ static bool ocl_transpose( InputArray _src, OutputArray _dst )
|
||||
ocl::KernelArg::WriteOnlyNoSize(dst));
|
||||
|
||||
size_t localsize[2] = { TILE_DIM, BLOCK_ROWS };
|
||||
size_t globalsize[2] = { src.cols, inplace ? (src.rows + rowsPerWI - 1) / rowsPerWI : (divUp(src.rows, TILE_DIM) * BLOCK_ROWS) };
|
||||
size_t globalsize[2] = { (size_t)src.cols, inplace ? ((size_t)src.rows + rowsPerWI - 1) / rowsPerWI : (divUp((size_t)src.rows, TILE_DIM) * BLOCK_ROWS) };
|
||||
|
||||
if (inplace && dev.isIntel())
|
||||
{
|
||||
@ -3576,8 +3576,8 @@ static bool ocl_reduce(InputArray _src, OutputArray _dst,
|
||||
k.args(ocl::KernelArg::ReadOnly(src),
|
||||
ocl::KernelArg::WriteOnlyNoSize(dst));
|
||||
|
||||
size_t localSize[2] = { buf_cols, tileHeight};
|
||||
size_t globalSize[2] = { buf_cols, src.rows };
|
||||
size_t localSize[2] = { (size_t)buf_cols, (size_t)tileHeight};
|
||||
size_t globalSize[2] = { (size_t)buf_cols, (size_t)src.rows };
|
||||
return k.run(2, globalSize, localSize, false);
|
||||
}
|
||||
else
|
||||
|
||||
@ -840,7 +840,7 @@ void UMat::copyTo(OutputArray _dst, InputArray _mask) const
|
||||
haveDstUninit ? ocl::KernelArg::WriteOnly(dst) :
|
||||
ocl::KernelArg::ReadWrite(dst));
|
||||
|
||||
size_t globalsize[2] = { cols, rows };
|
||||
size_t globalsize[2] = { (size_t)cols, (size_t)rows };
|
||||
if (k.run(2, globalsize, NULL, false))
|
||||
{
|
||||
CV_IMPL_ADD(CV_IMPL_OCL);
|
||||
@ -901,7 +901,7 @@ void UMat::convertTo(OutputArray _dst, int _type, double alpha, double beta) con
|
||||
else
|
||||
k.args(srcarg, dstarg, alpha, beta, rowsPerWI);
|
||||
|
||||
size_t globalsize[2] = { dst.cols * cn, (dst.rows + rowsPerWI - 1) / rowsPerWI };
|
||||
size_t globalsize[2] = { (size_t)dst.cols * cn, ((size_t)dst.rows + rowsPerWI - 1) / rowsPerWI };
|
||||
if (k.run(2, globalsize, NULL, false))
|
||||
{
|
||||
CV_IMPL_ADD(CV_IMPL_OCL);
|
||||
@ -957,7 +957,7 @@ UMat& UMat::setTo(InputArray _value, InputArray _mask)
|
||||
setK.args(dstarg, scalararg);
|
||||
}
|
||||
|
||||
size_t globalsize[] = { cols * cn / kercn, (rows + rowsPerWI - 1) / rowsPerWI };
|
||||
size_t globalsize[] = { (size_t)cols * cn / kercn, ((size_t)rows + rowsPerWI - 1) / rowsPerWI };
|
||||
if( setK.run(2, globalsize, NULL, false) )
|
||||
{
|
||||
CV_IMPL_ADD(CV_IMPL_OCL);
|
||||
|
||||
@ -158,7 +158,7 @@ static bool ocl_convert_nv12_to_bgr(cl_mem clImageY, cl_mem clImageUV, cl_mem cl
|
||||
|
||||
k.args(clImageY, clImageUV, clBuffer, step, cols, rows);
|
||||
|
||||
size_t globalsize[] = { cols, rows };
|
||||
size_t globalsize[] = { (size_t)cols, (size_t)rows };
|
||||
return k.run(2, globalsize, 0, false);
|
||||
}
|
||||
|
||||
@ -171,7 +171,7 @@ static bool ocl_convert_bgr_to_nv12(cl_mem clBuffer, int step, int cols, int row
|
||||
|
||||
k.args(clBuffer, step, cols, rows, clImageY, clImageUV);
|
||||
|
||||
size_t globalsize[] = { cols, rows };
|
||||
size_t globalsize[] = { (size_t)cols, (size_t)rows };
|
||||
return k.run(2, globalsize, 0, false);
|
||||
}
|
||||
#endif // HAVE_VA_INTEL && HAVE_OPENCL
|
||||
|
||||
@ -1298,7 +1298,15 @@ TEST(UMat, testTempObjects_UMat)
|
||||
ASSERT_EQ(0, countNonZero(uDiff));
|
||||
}
|
||||
|
||||
// Disabled due to failure in VS 2015:
|
||||
// C++11 is enabled by default ==>
|
||||
// destructors have implicit 'noexcept(true)' specifier ==>
|
||||
// throwing exception from destructor is not handled correctly
|
||||
#if defined(_MSC_VER) && _MSC_VER >= 1900 /* MSVC 14 */
|
||||
TEST(UMat, DISABLED_testTempObjects_Mat)
|
||||
#else
|
||||
TEST(UMat, testTempObjects_Mat)
|
||||
#endif
|
||||
{
|
||||
Mat m(10, 10, CV_8UC1, Scalar(1));
|
||||
{
|
||||
|
||||
@ -262,7 +262,7 @@ static bool ocl_FAST( InputArray _img, std::vector<KeyPoint>& keypoints,
|
||||
UMat img = _img.getUMat();
|
||||
if( img.cols < 7 || img.rows < 7 )
|
||||
return false;
|
||||
size_t globalsize[] = { img.cols-6, img.rows-6 };
|
||||
size_t globalsize[] = { (size_t)img.cols-6, (size_t)img.rows-6 };
|
||||
|
||||
ocl::Kernel fastKptKernel("FAST_findKeypoints", ocl::features2d::fast_oclsrc);
|
||||
if (fastKptKernel.empty())
|
||||
@ -306,7 +306,7 @@ static bool ocl_FAST( InputArray _img, std::vector<KeyPoint>& keypoints,
|
||||
if (fastNMSKernel.empty())
|
||||
return false;
|
||||
|
||||
size_t globalsize_nms[] = { counter };
|
||||
size_t globalsize_nms[] = { (size_t)counter };
|
||||
if( !fastNMSKernel.args(ocl::KernelArg::PtrReadOnly(kp1),
|
||||
ocl::KernelArg::PtrReadWrite(kp2),
|
||||
ocl::KernelArg::ReadOnly(img),
|
||||
|
||||
@ -97,8 +97,8 @@ static bool ocl_matchSingle(InputArray query, InputArray train,
|
||||
if(k.empty())
|
||||
return false;
|
||||
|
||||
size_t globalSize[] = {(query.size().height + block_size - 1) / block_size * block_size, block_size};
|
||||
size_t localSize[] = {block_size, block_size};
|
||||
size_t globalSize[] = {((size_t)query.size().height + block_size - 1) / block_size * block_size, (size_t)block_size};
|
||||
size_t localSize[] = {(size_t)block_size, (size_t)block_size};
|
||||
|
||||
int idx = 0;
|
||||
idx = k.set(idx, ocl::KernelArg::PtrReadOnly(uquery));
|
||||
@ -197,8 +197,8 @@ static bool ocl_knnMatchSingle(InputArray query, InputArray train, UMat &trainId
|
||||
if(k.empty())
|
||||
return false;
|
||||
|
||||
size_t globalSize[] = {(query_rows + block_size - 1) / block_size * block_size, block_size};
|
||||
size_t localSize[] = {block_size, block_size};
|
||||
size_t globalSize[] = {((size_t)query_rows + block_size - 1) / block_size * block_size, (size_t)block_size};
|
||||
size_t localSize[] = {(size_t)block_size, (size_t)block_size};
|
||||
|
||||
int idx = 0;
|
||||
idx = k.set(idx, ocl::KernelArg::PtrReadOnly(uquery));
|
||||
@ -306,8 +306,8 @@ static bool ocl_radiusMatchSingle(InputArray query, InputArray train,
|
||||
if (k.empty())
|
||||
return false;
|
||||
|
||||
size_t globalSize[] = {(train_rows + block_size - 1) / block_size * block_size, (query_rows + block_size - 1) / block_size * block_size};
|
||||
size_t localSize[] = {block_size, block_size};
|
||||
size_t globalSize[] = {((size_t)train_rows + block_size - 1) / block_size * block_size, ((size_t)query_rows + block_size - 1) / block_size * block_size};
|
||||
size_t localSize[] = {(size_t)block_size, (size_t)block_size};
|
||||
|
||||
int idx = 0;
|
||||
idx = k.set(idx, ocl::KernelArg::PtrReadOnly(uquery));
|
||||
|
||||
@ -64,7 +64,7 @@ ocl_HarrisResponses(const UMat& imgbuf,
|
||||
UMat& responses,
|
||||
int nkeypoints, int blockSize, float harris_k)
|
||||
{
|
||||
size_t globalSize[] = {nkeypoints};
|
||||
size_t globalSize[] = {(size_t)nkeypoints};
|
||||
|
||||
float scale = 1.f/((1 << 2) * blockSize * 255.f);
|
||||
float scale_sq_sq = scale * scale * scale * scale;
|
||||
@ -86,7 +86,7 @@ ocl_ICAngles(const UMat& imgbuf, const UMat& layerinfo,
|
||||
const UMat& keypoints, UMat& responses,
|
||||
const UMat& umax, int nkeypoints, int half_k)
|
||||
{
|
||||
size_t globalSize[] = {nkeypoints};
|
||||
size_t globalSize[] = {(size_t)nkeypoints};
|
||||
|
||||
ocl::Kernel icangle_ker("ORB_ICAngle", ocl::features2d::orb_oclsrc, "-D ORB_ANGLES");
|
||||
if( icangle_ker.empty() )
|
||||
@ -106,7 +106,7 @@ ocl_computeOrbDescriptors(const UMat& imgbuf, const UMat& layerInfo,
|
||||
const UMat& keypoints, UMat& desc, const UMat& pattern,
|
||||
int nkeypoints, int dsize, int wta_k)
|
||||
{
|
||||
size_t globalSize[] = {nkeypoints};
|
||||
size_t globalSize[] = {(size_t)nkeypoints};
|
||||
|
||||
ocl::Kernel desc_ker("ORB_computeDescriptor", ocl::features2d::orb_oclsrc,
|
||||
format("-D ORB_DESCRIPTORS -D WTA_K=%d", wta_k));
|
||||
|
||||
@ -263,6 +263,11 @@ PERF_TEST_P(Size_CvtMode, cvtColor8u,
|
||||
|
||||
#if defined(__APPLE__) && defined(HAVE_IPP)
|
||||
SANITY_CHECK(dst, _mode == CX_BGRA2HLS_FULL ? 2 : 1);
|
||||
#elif defined(_MSC_VER) && _MSC_VER >= 1900 /* MSVC 14 */
|
||||
if (_mode == CX_Luv2BGRA)
|
||||
SANITY_CHECK_NOTHING();
|
||||
else
|
||||
SANITY_CHECK(dst, 1);
|
||||
#else
|
||||
SANITY_CHECK(dst, 1);
|
||||
#endif
|
||||
|
||||
@ -835,7 +835,7 @@ static bool ocl_accumulate( InputArray _src, InputArray _src2, InputOutputArray
|
||||
if (haveMask)
|
||||
k.set(argidx, maskarg);
|
||||
|
||||
size_t globalsize[2] = { src.cols * cn / kercn, (src.rows + rowsPerWI - 1) / rowsPerWI };
|
||||
size_t globalsize[2] = { (size_t)src.cols * cn / kercn, ((size_t)src.rows + rowsPerWI - 1) / rowsPerWI };
|
||||
return k.run(2, globalsize, NULL, false);
|
||||
}
|
||||
|
||||
|
||||
@ -111,7 +111,7 @@ static bool ocl_blendLinear( InputArray _src1, InputArray _src2, InputArray _wei
|
||||
ocl::KernelArg::ReadOnlyNoSize(weights1), ocl::KernelArg::ReadOnlyNoSize(weights2),
|
||||
ocl::KernelArg::WriteOnly(dst));
|
||||
|
||||
size_t globalsize[2] = { dst.cols, dst.rows };
|
||||
size_t globalsize[2] = { (size_t)dst.cols, (size_t)dst.rows };
|
||||
return k.run(2, globalsize, NULL, false);
|
||||
}
|
||||
|
||||
|
||||
@ -164,8 +164,8 @@ static bool ocl_Canny(InputArray _src, OutputArray _dst, float low_thresh, float
|
||||
ocl::KernelArg::WriteOnlyNoSize(map),
|
||||
(float) low, (float) high);
|
||||
|
||||
size_t globalsize[2] = { size.width, size.height },
|
||||
localsize[2] = { lSizeX, lSizeY };
|
||||
size_t globalsize[2] = { (size_t)size.width, (size_t)size.height },
|
||||
localsize[2] = { (size_t)lSizeX, (size_t)lSizeY };
|
||||
|
||||
if (!with_sobel.run(2, globalsize, localsize, false))
|
||||
return false;
|
||||
@ -193,8 +193,8 @@ static bool ocl_Canny(InputArray _src, OutputArray _dst, float low_thresh, float
|
||||
ocl::KernelArg::WriteOnly(map),
|
||||
low, high);
|
||||
|
||||
size_t globalsize[2] = { size.width, size.height },
|
||||
localsize[2] = { lSizeX, lSizeY };
|
||||
size_t globalsize[2] = { (size_t)size.width, (size_t)size.height },
|
||||
localsize[2] = { (size_t)lSizeX, (size_t)lSizeY };
|
||||
|
||||
if (!without_sobel.run(2, globalsize, localsize, false))
|
||||
return false;
|
||||
@ -210,7 +210,7 @@ static bool ocl_Canny(InputArray _src, OutputArray _dst, float low_thresh, float
|
||||
if (sizey == 0)
|
||||
sizey = 1;
|
||||
|
||||
size_t globalsize[2] = { size.width, (size.height + PIX_PER_WI - 1) / PIX_PER_WI }, localsize[2] = { lSizeX, sizey };
|
||||
size_t globalsize[2] = { (size_t)size.width, ((size_t)size.height + PIX_PER_WI - 1) / PIX_PER_WI }, localsize[2] = { (size_t)lSizeX, (size_t)sizey };
|
||||
|
||||
ocl::Kernel edgesHysteresis("stage2_hysteresis", ocl::imgproc::canny_oclsrc,
|
||||
format("-D STAGE2 -D PIX_PER_WI=%d -D LOCAL_X=%d -D LOCAL_Y=%d",
|
||||
|
||||
@ -107,7 +107,7 @@ namespace clahe
|
||||
cv::UMat lut = _lut.getUMat();
|
||||
|
||||
size_t localThreads[3] = { 32, 8, 1 };
|
||||
size_t globalThreads[3] = { src.cols, src.rows, 1 };
|
||||
size_t globalThreads[3] = { (size_t)src.cols, (size_t)src.rows, 1 };
|
||||
|
||||
int idx = 0;
|
||||
idx = k.set(idx, cv::ocl::KernelArg::ReadOnlyNoSize(src));
|
||||
|
||||
@ -6692,7 +6692,7 @@ static bool ocl_cvtColor( InputArray _src, OutputArray _dst, int code, int dcn )
|
||||
int pxPerWIy = dev.isIntel() && (dev.type() & ocl::Device::TYPE_GPU) ? 4 : 1;
|
||||
int pxPerWIx = 1;
|
||||
|
||||
size_t globalsize[] = { src.cols, (src.rows + pxPerWIy - 1) / pxPerWIy };
|
||||
size_t globalsize[] = { (size_t)src.cols, ((size_t)src.rows + pxPerWIy - 1) / pxPerWIy };
|
||||
cv::String opts = format("-D depth=%d -D scn=%d -D PIX_PER_WI_Y=%d ",
|
||||
depth, scn, pxPerWIy);
|
||||
|
||||
|
||||
@ -188,7 +188,7 @@ namespace colormap
|
||||
|
||||
void init(int n) {
|
||||
float r[] = { 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1};
|
||||
float g[] = { 0, 0.01587301587301587, 0.03174603174603174, 0.04761904761904762, 0.06349206349206349, 0.07936507936507936, 0.09523809523809523, 0.1111111111111111, 0.126984126984127, 0.1428571428571428, 0.1587301587301587, 0.1746031746031746, 0.1904761904761905, 0.2063492063492063, 0.2222222222222222, 0.2380952380952381, 0.253968253968254, 0.2698412698412698, 0.2857142857142857, 0.3015873015873016, 0.3174603174603174, 0.3333333333333333, 0.3492063492063492, 0.3650793650793651, 0.3809523809523809, 0.3968253968253968, 0.4126984126984127, 0.4285714285714285, 0.4444444444444444, 0.4603174603174603, 0.4761904761904762, 0.492063492063492, 0.5079365079365079, 0.5238095238095238, 0.5396825396825397, 0.5555555555555556, 0.5714285714285714, 0.5873015873015873, 0.6031746031746031, 0.6190476190476191, 0.6349206349206349, 0.6507936507936508, 0.6666666666666666, 0.6825396825396826, 0.6984126984126984, 0.7142857142857143, 0.7301587301587301, 0.746031746031746, 0.7619047619047619, 0.7777777777777778, 0.7936507936507936, 0.8095238095238095, 0.8253968253968254, 0.8412698412698413, 0.8571428571428571, 0.873015873015873, 0.8888888888888888, 0.9047619047619048, 0.9206349206349206, 0.9365079365079365, 0.9523809523809523, 0.9682539682539683, 0.9841269841269841, 1};
|
||||
float g[] = { 0, 0.01587301587301587f, 0.03174603174603174f, 0.04761904761904762f, 0.06349206349206349f, 0.07936507936507936f, 0.09523809523809523f, 0.1111111111111111f, 0.126984126984127f, 0.1428571428571428f, 0.1587301587301587f, 0.1746031746031746f, 0.1904761904761905f, 0.2063492063492063f, 0.2222222222222222f, 0.2380952380952381f, 0.253968253968254f, 0.2698412698412698f, 0.2857142857142857f, 0.3015873015873016f, 0.3174603174603174f, 0.3333333333333333f, 0.3492063492063492f, 0.3650793650793651f, 0.3809523809523809f, 0.3968253968253968f, 0.4126984126984127f, 0.4285714285714285f, 0.4444444444444444f, 0.4603174603174603f, 0.4761904761904762f, 0.492063492063492f, 0.5079365079365079f, 0.5238095238095238f, 0.5396825396825397f, 0.5555555555555556f, 0.5714285714285714f, 0.5873015873015873f, 0.6031746031746031f, 0.6190476190476191f, 0.6349206349206349f, 0.6507936507936508f, 0.6666666666666666f, 0.6825396825396826f, 0.6984126984126984f, 0.7142857142857143f, 0.7301587301587301f, 0.746031746031746f, 0.7619047619047619f, 0.7777777777777778f, 0.7936507936507936f, 0.8095238095238095f, 0.8253968253968254f, 0.8412698412698413f, 0.8571428571428571f, 0.873015873015873f, 0.8888888888888888f, 0.9047619047619048f, 0.9206349206349206f, 0.9365079365079365f, 0.9523809523809523f, 0.9682539682539683f, 0.9841269841269841f, 1};
|
||||
float b[] = { 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0};
|
||||
Mat X = linspace(0,1,64);
|
||||
this->_lut = ColorMap::linear_colormap(X,
|
||||
@ -211,9 +211,9 @@ namespace colormap
|
||||
}
|
||||
|
||||
void init(int n) {
|
||||
float r[] = { 0, 0.01388888888888889, 0.02777777777777778, 0.04166666666666666, 0.05555555555555555, 0.06944444444444445, 0.08333333333333333, 0.09722222222222221, 0.1111111111111111, 0.125, 0.1388888888888889, 0.1527777777777778, 0.1666666666666667, 0.1805555555555556, 0.1944444444444444, 0.2083333333333333, 0.2222222222222222, 0.2361111111111111, 0.25, 0.2638888888888889, 0.2777777777777778, 0.2916666666666666, 0.3055555555555555, 0.3194444444444444, 0.3333333333333333, 0.3472222222222222, 0.3611111111111111, 0.375, 0.3888888888888888, 0.4027777777777777, 0.4166666666666666, 0.4305555555555555, 0.4444444444444444, 0.4583333333333333, 0.4722222222222222, 0.4861111111111112, 0.5, 0.5138888888888888, 0.5277777777777778, 0.5416666666666667, 0.5555555555555556, 0.5694444444444444, 0.5833333333333333, 0.5972222222222222, 0.611111111111111, 0.6249999999999999, 0.6388888888888888, 0.6527777777777778, 0.6726190476190474, 0.6944444444444442, 0.7162698412698412, 0.7380952380952381, 0.7599206349206349, 0.7817460317460316, 0.8035714285714286, 0.8253968253968254, 0.8472222222222221, 0.8690476190476188, 0.8908730158730158, 0.9126984126984128, 0.9345238095238095, 0.9563492063492063, 0.978174603174603, 1};
|
||||
float g[] = { 0, 0.01388888888888889, 0.02777777777777778, 0.04166666666666666, 0.05555555555555555, 0.06944444444444445, 0.08333333333333333, 0.09722222222222221, 0.1111111111111111, 0.125, 0.1388888888888889, 0.1527777777777778, 0.1666666666666667, 0.1805555555555556, 0.1944444444444444, 0.2083333333333333, 0.2222222222222222, 0.2361111111111111, 0.25, 0.2638888888888889, 0.2777777777777778, 0.2916666666666666, 0.3055555555555555, 0.3194444444444444, 0.3353174603174602, 0.3544973544973544, 0.3736772486772486, 0.3928571428571428, 0.412037037037037, 0.4312169312169312, 0.4503968253968254, 0.4695767195767195, 0.4887566137566137, 0.5079365079365078, 0.5271164021164021, 0.5462962962962963, 0.5654761904761904, 0.5846560846560845, 0.6038359788359787, 0.623015873015873, 0.6421957671957671, 0.6613756613756612, 0.6805555555555555, 0.6997354497354497, 0.7189153439153438, 0.7380952380952379, 0.7572751322751322, 0.7764550264550264, 0.7916666666666666, 0.8055555555555555, 0.8194444444444444, 0.8333333333333334, 0.8472222222222222, 0.861111111111111, 0.875, 0.8888888888888888, 0.9027777777777777, 0.9166666666666665, 0.9305555555555555, 0.9444444444444444, 0.9583333333333333, 0.9722222222222221, 0.986111111111111, 1};
|
||||
float b[] = { 0, 0.01917989417989418, 0.03835978835978836, 0.05753968253968253, 0.07671957671957672, 0.09589947089947089, 0.1150793650793651, 0.1342592592592592, 0.1534391534391534, 0.1726190476190476, 0.1917989417989418, 0.210978835978836, 0.2301587301587301, 0.2493386243386243, 0.2685185185185185, 0.2876984126984127, 0.3068783068783069, 0.326058201058201, 0.3452380952380952, 0.3644179894179894, 0.3835978835978835, 0.4027777777777777, 0.4219576719576719, 0.4411375661375661, 0.4583333333333333, 0.4722222222222222, 0.4861111111111111, 0.5, 0.5138888888888888, 0.5277777777777777, 0.5416666666666666, 0.5555555555555556, 0.5694444444444444, 0.5833333333333333, 0.5972222222222222, 0.6111111111111112, 0.625, 0.6388888888888888, 0.6527777777777778, 0.6666666666666667, 0.6805555555555556, 0.6944444444444444, 0.7083333333333333, 0.7222222222222222, 0.736111111111111, 0.7499999999999999, 0.7638888888888888, 0.7777777777777778, 0.7916666666666666, 0.8055555555555555, 0.8194444444444444, 0.8333333333333334, 0.8472222222222222, 0.861111111111111, 0.875, 0.8888888888888888, 0.9027777777777777, 0.9166666666666665, 0.9305555555555555, 0.9444444444444444, 0.9583333333333333, 0.9722222222222221, 0.986111111111111, 1};
|
||||
float r[] = { 0, 0.01388888888888889f, 0.02777777777777778f, 0.04166666666666666f, 0.05555555555555555f, 0.06944444444444445f, 0.08333333333333333f, 0.09722222222222221f, 0.1111111111111111f, 0.125f, 0.1388888888888889f, 0.1527777777777778f, 0.1666666666666667f, 0.1805555555555556f, 0.1944444444444444f, 0.2083333333333333f, 0.2222222222222222f, 0.2361111111111111f, 0.25f, 0.2638888888888889f, 0.2777777777777778f, 0.2916666666666666f, 0.3055555555555555f, 0.3194444444444444f, 0.3333333333333333f, 0.3472222222222222f, 0.3611111111111111f, 0.375f, 0.3888888888888888f, 0.4027777777777777f, 0.4166666666666666f, 0.4305555555555555f, 0.4444444444444444f, 0.4583333333333333f, 0.4722222222222222f, 0.4861111111111112f, 0.5f, 0.5138888888888888f, 0.5277777777777778f, 0.5416666666666667f, 0.5555555555555556f, 0.5694444444444444f, 0.5833333333333333f, 0.5972222222222222f, 0.611111111111111f, 0.6249999999999999f, 0.6388888888888888f, 0.6527777777777778f, 0.6726190476190474f, 0.6944444444444442f, 0.7162698412698412f, 0.7380952380952381f, 0.7599206349206349f, 0.7817460317460316f, 0.8035714285714286f, 0.8253968253968254f, 0.8472222222222221f, 0.8690476190476188f, 0.8908730158730158f, 0.9126984126984128f, 0.9345238095238095f, 0.9563492063492063f, 0.978174603174603f, 1};
|
||||
float g[] = { 0, 0.01388888888888889f, 0.02777777777777778f, 0.04166666666666666f, 0.05555555555555555f, 0.06944444444444445f, 0.08333333333333333f, 0.09722222222222221f, 0.1111111111111111f, 0.125f, 0.1388888888888889f, 0.1527777777777778f, 0.1666666666666667f, 0.1805555555555556f, 0.1944444444444444f, 0.2083333333333333f, 0.2222222222222222f, 0.2361111111111111f, 0.25f, 0.2638888888888889f, 0.2777777777777778f, 0.2916666666666666f, 0.3055555555555555f, 0.3194444444444444f, 0.3353174603174602f, 0.3544973544973544f, 0.3736772486772486f, 0.3928571428571428f, 0.412037037037037f, 0.4312169312169312f, 0.4503968253968254f, 0.4695767195767195f, 0.4887566137566137f, 0.5079365079365078f, 0.5271164021164021f, 0.5462962962962963f, 0.5654761904761904f, 0.5846560846560845f, 0.6038359788359787f, 0.623015873015873f, 0.6421957671957671f, 0.6613756613756612f, 0.6805555555555555f, 0.6997354497354497f, 0.7189153439153438f, 0.7380952380952379f, 0.7572751322751322f, 0.7764550264550264f, 0.7916666666666666f, 0.8055555555555555f, 0.8194444444444444f, 0.8333333333333334f, 0.8472222222222222f, 0.861111111111111f, 0.875f, 0.8888888888888888f, 0.9027777777777777f, 0.9166666666666665f, 0.9305555555555555f, 0.9444444444444444f, 0.9583333333333333f, 0.9722222222222221f, 0.986111111111111f, 1};
|
||||
float b[] = { 0, 0.01917989417989418f, 0.03835978835978836f, 0.05753968253968253f, 0.07671957671957672f, 0.09589947089947089f, 0.1150793650793651f, 0.1342592592592592f, 0.1534391534391534f, 0.1726190476190476f, 0.1917989417989418f, 0.210978835978836f, 0.2301587301587301f, 0.2493386243386243f, 0.2685185185185185f, 0.2876984126984127f, 0.3068783068783069f, 0.326058201058201f, 0.3452380952380952f, 0.3644179894179894f, 0.3835978835978835f, 0.4027777777777777f, 0.4219576719576719f, 0.4411375661375661f, 0.4583333333333333f, 0.4722222222222222f, 0.4861111111111111f, 0.5f, 0.5138888888888888f, 0.5277777777777777f, 0.5416666666666666f, 0.5555555555555556f, 0.5694444444444444f, 0.5833333333333333f, 0.5972222222222222f, 0.6111111111111112f, 0.625f, 0.6388888888888888f, 0.6527777777777778f, 0.6666666666666667f, 0.6805555555555556f, 0.6944444444444444f, 0.7083333333333333f, 0.7222222222222222f, 0.736111111111111f, 0.7499999999999999f, 0.7638888888888888f, 0.7777777777777778f, 0.7916666666666666f, 0.8055555555555555f, 0.8194444444444444f, 0.8333333333333334f, 0.8472222222222222f, 0.861111111111111f, 0.875f, 0.8888888888888888f, 0.9027777777777777f, 0.9166666666666665f, 0.9305555555555555f, 0.9444444444444444f, 0.9583333333333333f, 0.9722222222222221f, 0.986111111111111f, 1};
|
||||
Mat X = linspace(0,1,64);
|
||||
this->_lut = ColorMap::linear_colormap(X,
|
||||
Mat(64,1, CV_32FC1, r).clone(), // red
|
||||
@ -241,9 +241,9 @@ namespace colormap
|
||||
// breakpoints
|
||||
Mat X = linspace(0,1,256);
|
||||
// define the basemap
|
||||
float r[] = {0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.00588235294117645,0.02156862745098032,0.03725490196078418,0.05294117647058827,0.06862745098039214,0.084313725490196,0.1000000000000001,0.115686274509804,0.1313725490196078,0.1470588235294117,0.1627450980392156,0.1784313725490196,0.1941176470588235,0.2098039215686274,0.2254901960784315,0.2411764705882353,0.2568627450980392,0.2725490196078431,0.2882352941176469,0.303921568627451,0.3196078431372549,0.3352941176470587,0.3509803921568628,0.3666666666666667,0.3823529411764706,0.3980392156862744,0.4137254901960783,0.4294117647058824,0.4450980392156862,0.4607843137254901,0.4764705882352942,0.4921568627450981,0.5078431372549019,0.5235294117647058,0.5392156862745097,0.5549019607843135,0.5705882352941174,0.5862745098039217,0.6019607843137256,0.6176470588235294,0.6333333333333333,0.6490196078431372,0.664705882352941,0.6803921568627449,0.6960784313725492,0.7117647058823531,0.7274509803921569,0.7431372549019608,0.7588235294117647,0.7745098039215685,0.7901960784313724,0.8058823529411763,0.8215686274509801,0.8372549019607844,0.8529411764705883,0.8686274509803922,0.884313725490196,0.8999999999999999,0.9156862745098038,0.9313725490196076,0.947058823529412,0.9627450980392158,0.9784313725490197,0.9941176470588236,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0.9862745098039216,0.9705882352941178,0.9549019607843139,0.93921568627451,0.9235294117647062,0.9078431372549018,0.892156862745098,0.8764705882352941,0.8607843137254902,0.8450980392156864,0.8294117647058825,0.8137254901960786,0.7980392156862743,0.7823529411764705,0.7666666666666666,0.7509803921568627,0.7352941176470589,0.719607843137255,0.7039215686274511,0.6882352941176473,0.6725490196078434,0.6568627450980391,0.6411764705882352,0.6254901960784314,0.6098039215686275,0.5941176470588236,0.5784313725490198,0.5627450980392159,0.5470588235294116,0.5313725490196077,0.5156862745098039,0.5};
|
||||
float g[] = {0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.001960784313725483,0.01764705882352935,0.03333333333333333,0.0490196078431373,0.06470588235294117,0.08039215686274503,0.09607843137254901,0.111764705882353,0.1274509803921569,0.1431372549019607,0.1588235294117647,0.1745098039215687,0.1901960784313725,0.2058823529411764,0.2215686274509804,0.2372549019607844,0.2529411764705882,0.2686274509803921,0.2843137254901961,0.3,0.3156862745098039,0.3313725490196078,0.3470588235294118,0.3627450980392157,0.3784313725490196,0.3941176470588235,0.4098039215686274,0.4254901960784314,0.4411764705882353,0.4568627450980391,0.4725490196078431,0.4882352941176471,0.503921568627451,0.5196078431372548,0.5352941176470587,0.5509803921568628,0.5666666666666667,0.5823529411764705,0.5980392156862746,0.6137254901960785,0.6294117647058823,0.6450980392156862,0.6607843137254901,0.6764705882352942,0.692156862745098,0.7078431372549019,0.723529411764706,0.7392156862745098,0.7549019607843137,0.7705882352941176,0.7862745098039214,0.8019607843137255,0.8176470588235294,0.8333333333333333,0.8490196078431373,0.8647058823529412,0.8803921568627451,0.8960784313725489,0.9117647058823528,0.9274509803921569,0.9431372549019608,0.9588235294117646,0.9745098039215687,0.9901960784313726,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0.9901960784313726,0.9745098039215687,0.9588235294117649,0.943137254901961,0.9274509803921571,0.9117647058823528,0.8960784313725489,0.8803921568627451,0.8647058823529412,0.8490196078431373,0.8333333333333335,0.8176470588235296,0.8019607843137253,0.7862745098039214,0.7705882352941176,0.7549019607843137,0.7392156862745098,0.723529411764706,0.7078431372549021,0.6921568627450982,0.6764705882352944,0.6607843137254901,0.6450980392156862,0.6294117647058823,0.6137254901960785,0.5980392156862746,0.5823529411764707,0.5666666666666669,0.5509803921568626,0.5352941176470587,0.5196078431372548,0.503921568627451,0.4882352941176471,0.4725490196078432,0.4568627450980394,0.4411764705882355,0.4254901960784316,0.4098039215686273,0.3941176470588235,0.3784313725490196,0.3627450980392157,0.3470588235294119,0.331372549019608,0.3156862745098041,0.2999999999999998,0.284313725490196,0.2686274509803921,0.2529411764705882,0.2372549019607844,0.2215686274509805,0.2058823529411766,0.1901960784313728,0.1745098039215689,0.1588235294117646,0.1431372549019607,0.1274509803921569,0.111764705882353,0.09607843137254912,0.08039215686274526,0.06470588235294139,0.04901960784313708,0.03333333333333321,0.01764705882352935,0.001960784313725483,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0};
|
||||
float b[] = {0.5,0.5156862745098039,0.5313725490196078,0.5470588235294118,0.5627450980392157,0.5784313725490196,0.5941176470588235,0.6098039215686275,0.6254901960784314,0.6411764705882352,0.6568627450980392,0.6725490196078432,0.6882352941176471,0.7039215686274509,0.7196078431372549,0.7352941176470589,0.7509803921568627,0.7666666666666666,0.7823529411764706,0.7980392156862746,0.8137254901960784,0.8294117647058823,0.8450980392156863,0.8607843137254902,0.8764705882352941,0.892156862745098,0.907843137254902,0.9235294117647059,0.9392156862745098,0.9549019607843137,0.9705882352941176,0.9862745098039216,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0.9941176470588236,0.9784313725490197,0.9627450980392158,0.9470588235294117,0.9313725490196079,0.915686274509804,0.8999999999999999,0.884313725490196,0.8686274509803922,0.8529411764705883,0.8372549019607844,0.8215686274509804,0.8058823529411765,0.7901960784313726,0.7745098039215685,0.7588235294117647,0.7431372549019608,0.7274509803921569,0.7117647058823531,0.696078431372549,0.6803921568627451,0.6647058823529413,0.6490196078431372,0.6333333333333333,0.6176470588235294,0.6019607843137256,0.5862745098039217,0.5705882352941176,0.5549019607843138,0.5392156862745099,0.5235294117647058,0.5078431372549019,0.4921568627450981,0.4764705882352942,0.4607843137254903,0.4450980392156865,0.4294117647058826,0.4137254901960783,0.3980392156862744,0.3823529411764706,0.3666666666666667,0.3509803921568628,0.335294117647059,0.3196078431372551,0.3039215686274508,0.2882352941176469,0.2725490196078431,0.2568627450980392,0.2411764705882353,0.2254901960784315,0.2098039215686276,0.1941176470588237,0.1784313725490199,0.1627450980392156,0.1470588235294117,0.1313725490196078,0.115686274509804,0.1000000000000001,0.08431372549019622,0.06862745098039236,0.05294117647058805,0.03725490196078418,0.02156862745098032,0.00588235294117645,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0};
|
||||
float r[] = {0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.00588235294117645f,0.02156862745098032f,0.03725490196078418f,0.05294117647058827f,0.06862745098039214f,0.084313725490196f,0.1000000000000001f,0.115686274509804f,0.1313725490196078f,0.1470588235294117f,0.1627450980392156f,0.1784313725490196f,0.1941176470588235f,0.2098039215686274f,0.2254901960784315f,0.2411764705882353f,0.2568627450980392f,0.2725490196078431f,0.2882352941176469f,0.303921568627451f,0.3196078431372549f,0.3352941176470587f,0.3509803921568628f,0.3666666666666667f,0.3823529411764706f,0.3980392156862744f,0.4137254901960783f,0.4294117647058824f,0.4450980392156862f,0.4607843137254901f,0.4764705882352942f,0.4921568627450981f,0.5078431372549019f,0.5235294117647058f,0.5392156862745097f,0.5549019607843135f,0.5705882352941174f,0.5862745098039217f,0.6019607843137256f,0.6176470588235294f,0.6333333333333333f,0.6490196078431372f,0.664705882352941f,0.6803921568627449f,0.6960784313725492f,0.7117647058823531f,0.7274509803921569f,0.7431372549019608f,0.7588235294117647f,0.7745098039215685f,0.7901960784313724f,0.8058823529411763f,0.8215686274509801f,0.8372549019607844f,0.8529411764705883f,0.8686274509803922f,0.884313725490196f,0.8999999999999999f,0.9156862745098038f,0.9313725490196076f,0.947058823529412f,0.9627450980392158f,0.9784313725490197f,0.9941176470588236f,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0.9862745098039216f,0.9705882352941178f,0.9549019607843139f,0.93921568627451f,0.9235294117647062f,0.9078431372549018f,0.892156862745098f,0.8764705882352941f,0.8607843137254902f,0.8450980392156864f,0.8294117647058825f,0.8137254901960786f,0.7980392156862743f,0.7823529411764705f,0.7666666666666666f,0.7509803921568627f,0.7352941176470589f,0.719607843137255f,0.7039215686274511f,0.6882352941176473f,0.6725490196078434f,0.6568627450980391f,0.6411764705882352f,0.6254901960784314f,0.6098039215686275f,0.5941176470588236f,0.5784313725490198f,0.5627450980392159f,0.5470588235294116f,0.5313725490196077f,0.5156862745098039f,0.5f};
|
||||
float g[] = {0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.001960784313725483f,0.01764705882352935f,0.03333333333333333f,0.0490196078431373f,0.06470588235294117f,0.08039215686274503f,0.09607843137254901f,0.111764705882353f,0.1274509803921569f,0.1431372549019607f,0.1588235294117647f,0.1745098039215687f,0.1901960784313725f,0.2058823529411764f,0.2215686274509804f,0.2372549019607844f,0.2529411764705882f,0.2686274509803921f,0.2843137254901961f,0.3f,0.3156862745098039f,0.3313725490196078f,0.3470588235294118f,0.3627450980392157f,0.3784313725490196f,0.3941176470588235f,0.4098039215686274f,0.4254901960784314f,0.4411764705882353f,0.4568627450980391f,0.4725490196078431f,0.4882352941176471f,0.503921568627451f,0.5196078431372548f,0.5352941176470587f,0.5509803921568628f,0.5666666666666667f,0.5823529411764705f,0.5980392156862746f,0.6137254901960785f,0.6294117647058823f,0.6450980392156862f,0.6607843137254901f,0.6764705882352942f,0.692156862745098f,0.7078431372549019f,0.723529411764706f,0.7392156862745098f,0.7549019607843137f,0.7705882352941176f,0.7862745098039214f,0.8019607843137255f,0.8176470588235294f,0.8333333333333333f,0.8490196078431373f,0.8647058823529412f,0.8803921568627451f,0.8960784313725489f,0.9117647058823528f,0.9274509803921569f,0.9431372549019608f,0.9588235294117646f,0.9745098039215687f,0.9901960784313726f,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0.9901960784313726f,0.9745098039215687f,0.9588235294117649f,0.943137254901961f,0.9274509803921571f,0.9117647058823528f,0.8960784313725489f,0.8803921568627451f,0.8647058823529412f,0.8490196078431373f,0.8333333333333335f,0.8176470588235296f,0.8019607843137253f,0.7862745098039214f,0.7705882352941176f,0.7549019607843137f,0.7392156862745098f,0.723529411764706f,0.7078431372549021f,0.6921568627450982f,0.6764705882352944f,0.6607843137254901f,0.6450980392156862f,0.6294117647058823f,0.6137254901960785f,0.5980392156862746f,0.5823529411764707f,0.5666666666666669f,0.5509803921568626f,0.5352941176470587f,0.5196078431372548f,0.503921568627451f,0.4882352941176471f,0.4725490196078432f,0.4568627450980394f,0.4411764705882355f,0.4254901960784316f,0.4098039215686273f,0.3941176470588235f,0.3784313725490196f,0.3627450980392157f,0.3470588235294119f,0.331372549019608f,0.3156862745098041f,0.2999999999999998f,0.284313725490196f,0.2686274509803921f,0.2529411764705882f,0.2372549019607844f,0.2215686274509805f,0.2058823529411766f,0.1901960784313728f,0.1745098039215689f,0.1588235294117646f,0.1431372549019607f,0.1274509803921569f,0.111764705882353f,0.09607843137254912f,0.08039215686274526f,0.06470588235294139f,0.04901960784313708f,0.03333333333333321f,0.01764705882352935f,0.001960784313725483f,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0};
|
||||
float b[] = {0.5f,0.5156862745098039f,0.5313725490196078f,0.5470588235294118f,0.5627450980392157f,0.5784313725490196f,0.5941176470588235f,0.6098039215686275f,0.6254901960784314f,0.6411764705882352f,0.6568627450980392f,0.6725490196078432f,0.6882352941176471f,0.7039215686274509f,0.7196078431372549f,0.7352941176470589f,0.7509803921568627f,0.7666666666666666f,0.7823529411764706f,0.7980392156862746f,0.8137254901960784f,0.8294117647058823f,0.8450980392156863f,0.8607843137254902f,0.8764705882352941f,0.892156862745098f,0.907843137254902f,0.9235294117647059f,0.9392156862745098f,0.9549019607843137f,0.9705882352941176f,0.9862745098039216f,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0.9941176470588236f,0.9784313725490197f,0.9627450980392158f,0.9470588235294117f,0.9313725490196079f,0.915686274509804f,0.8999999999999999f,0.884313725490196f,0.8686274509803922f,0.8529411764705883f,0.8372549019607844f,0.8215686274509804f,0.8058823529411765f,0.7901960784313726f,0.7745098039215685f,0.7588235294117647f,0.7431372549019608f,0.7274509803921569f,0.7117647058823531f,0.696078431372549f,0.6803921568627451f,0.6647058823529413f,0.6490196078431372f,0.6333333333333333f,0.6176470588235294f,0.6019607843137256f,0.5862745098039217f,0.5705882352941176f,0.5549019607843138f,0.5392156862745099f,0.5235294117647058f,0.5078431372549019f,0.4921568627450981f,0.4764705882352942f,0.4607843137254903f,0.4450980392156865f,0.4294117647058826f,0.4137254901960783f,0.3980392156862744f,0.3823529411764706f,0.3666666666666667f,0.3509803921568628f,0.335294117647059f,0.3196078431372551f,0.3039215686274508f,0.2882352941176469f,0.2725490196078431f,0.2568627450980392f,0.2411764705882353f,0.2254901960784315f,0.2098039215686276f,0.1941176470588237f,0.1784313725490199f,0.1627450980392156f,0.1470588235294117f,0.1313725490196078f,0.115686274509804f,0.1000000000000001f,0.08431372549019622f,0.06862745098039236f,0.05294117647058805f,0.03725490196078418f,0.02156862745098032f,0.00588235294117645f,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0};
|
||||
// now build lookup table
|
||||
this->_lut = ColorMap::linear_colormap(X,
|
||||
Mat(256,1, CV_32FC1, r).clone(), // red
|
||||
@ -265,9 +265,9 @@ namespace colormap
|
||||
}
|
||||
|
||||
void init(int n) {
|
||||
float r[] = {0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0};
|
||||
float g[] = {0.0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0};
|
||||
float b[] = {1.0, 0.95, 0.9, 0.85, 0.8, 0.75, 0.7, 0.65, 0.6, 0.55, 0.5};
|
||||
float r[] = {0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f};
|
||||
float g[] = {0.0f, 0.1f, 0.2f, 0.3f, 0.4f, 0.5f, 0.6f, 0.7f, 0.8f, 0.9f, 1.0f,};
|
||||
float b[] = {1.0, 0.95f, 0.9f, 0.85f, 0.8f, 0.75f, 0.7f, 0.65f, 0.6f, 0.55f, 0.5f};
|
||||
Mat X = linspace(0,1,11);
|
||||
this->_lut = ColorMap::linear_colormap(X,
|
||||
Mat(11,1, CV_32FC1, r).clone(), // red
|
||||
@ -289,9 +289,9 @@ namespace colormap
|
||||
}
|
||||
|
||||
void init(int n) {
|
||||
float r[] = { 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0.9365079365079367, 0.8571428571428572, 0.7777777777777777, 0.6984126984126986, 0.6190476190476191, 0.53968253968254, 0.4603174603174605, 0.3809523809523814, 0.3015873015873018, 0.2222222222222223, 0.1428571428571432, 0.06349206349206415, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.03174603174603208, 0.08465608465608465, 0.1375661375661377, 0.1904761904761907, 0.2433862433862437, 0.2962962962962963, 0.3492063492063493, 0.4021164021164023, 0.4550264550264553, 0.5079365079365079, 0.5608465608465609, 0.6137566137566139, 0.666666666666667};
|
||||
float g[] = { 0, 0.03968253968253968, 0.07936507936507936, 0.119047619047619, 0.1587301587301587, 0.1984126984126984, 0.2380952380952381, 0.2777777777777778, 0.3174603174603174, 0.3571428571428571, 0.3968253968253968, 0.4365079365079365, 0.4761904761904762, 0.5158730158730158, 0.5555555555555556, 0.5952380952380952, 0.6349206349206349, 0.6746031746031745, 0.7142857142857142, 0.753968253968254, 0.7936507936507936, 0.8333333333333333, 0.873015873015873, 0.9126984126984127, 0.9523809523809523, 0.992063492063492, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0.9841269841269842, 0.9047619047619047, 0.8253968253968256, 0.7460317460317465, 0.666666666666667, 0.587301587301587, 0.5079365079365079, 0.4285714285714288, 0.3492063492063493, 0.2698412698412698, 0.1904761904761907, 0.1111111111111116, 0.03174603174603208, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0};
|
||||
float b[] = { 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.01587301587301582, 0.09523809523809534, 0.1746031746031744, 0.2539682539682535, 0.333333333333333, 0.412698412698413, 0.4920634920634921, 0.5714285714285712, 0.6507936507936507, 0.7301587301587302, 0.8095238095238093, 0.8888888888888884, 0.9682539682539679, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1};
|
||||
float r[] = { 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0.9365079365079367f, 0.8571428571428572f, 0.7777777777777777f, 0.6984126984126986f, 0.6190476190476191f, 0.53968253968254f, 0.4603174603174605f, 0.3809523809523814f, 0.3015873015873018f, 0.2222222222222223f, 0.1428571428571432f, 0.06349206349206415f, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.03174603174603208f, 0.08465608465608465f, 0.1375661375661377f, 0.1904761904761907f, 0.2433862433862437f, 0.2962962962962963f, 0.3492063492063493f, 0.4021164021164023f, 0.4550264550264553f, 0.5079365079365079f, 0.5608465608465609f, 0.6137566137566139f, 0.666666666666667f};
|
||||
float g[] = { 0, 0.03968253968253968f, 0.07936507936507936f, 0.119047619047619f, 0.1587301587301587f, 0.1984126984126984f, 0.2380952380952381f, 0.2777777777777778f, 0.3174603174603174f, 0.3571428571428571f, 0.3968253968253968f, 0.4365079365079365f, 0.4761904761904762f, 0.5158730158730158f, 0.5555555555555556f, 0.5952380952380952f, 0.6349206349206349f, 0.6746031746031745f, 0.7142857142857142f, 0.753968253968254f, 0.7936507936507936f, 0.8333333333333333f, 0.873015873015873f, 0.9126984126984127f, 0.9523809523809523f, 0.992063492063492f, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0.9841269841269842f, 0.9047619047619047f, 0.8253968253968256f, 0.7460317460317465f, 0.666666666666667f, 0.587301587301587f, 0.5079365079365079f, 0.4285714285714288f, 0.3492063492063493f, 0.2698412698412698f, 0.1904761904761907f, 0.1111111111111116f, 0.03174603174603208f, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0};
|
||||
float b[] = { 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.01587301587301582f, 0.09523809523809534f, 0.1746031746031744f, 0.2539682539682535f, 0.333333333333333f, 0.412698412698413f, 0.4920634920634921f, 0.5714285714285712f, 0.6507936507936507f, 0.7301587301587302f, 0.8095238095238093f, 0.8888888888888884f, 0.9682539682539679f, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1};
|
||||
Mat X = linspace(0,1,64);
|
||||
this->_lut = ColorMap::linear_colormap(X,
|
||||
Mat(64,1, CV_32FC1, r).clone(), // red
|
||||
@ -313,9 +313,9 @@ namespace colormap
|
||||
}
|
||||
|
||||
void init(int n) {
|
||||
float r[] = { 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.04761904761904762, 0.09523809523809523, 0.1428571428571428, 0.1904761904761905, 0.2380952380952381, 0.2857142857142857, 0.3333333333333333, 0.3809523809523809, 0.4285714285714285, 0.4761904761904762, 0.5238095238095238, 0.5714285714285714, 0.6190476190476191, 0.6666666666666666, 0.7142857142857143, 0.7619047619047619, 0.8095238095238095, 0.8571428571428571, 0.9047619047619048, 0.9523809523809523, 1};
|
||||
float g[] = { 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.02380952380952381, 0.04761904761904762, 0.07142857142857142, 0.09523809523809523, 0.119047619047619, 0.1428571428571428, 0.1666666666666667, 0.1904761904761905, 0.2142857142857143, 0.2380952380952381, 0.2619047619047619, 0.2857142857142857, 0.3095238095238095, 0.3333333333333333, 0.3571428571428572, 0.3809523809523809, 0.4047619047619048, 0.4285714285714285, 0.4523809523809524, 0.4761904761904762, 0.5, 0.5238095238095238, 0.5476190476190477, 0.5714285714285714, 0.5952380952380952, 0.6190476190476191, 0.6428571428571429, 0.6666666666666666, 0.6904761904761905, 0.7142857142857143, 0.7380952380952381, 0.7619047619047619, 0.7857142857142857, 0.8095238095238095, 0.8333333333333334, 0.8571428571428571, 0.8809523809523809, 0.9047619047619048, 0.9285714285714286, 0.9523809523809523, 0.9761904761904762, 1};
|
||||
float b[] = { 0, 0.01587301587301587, 0.03174603174603174, 0.04761904761904762, 0.06349206349206349, 0.07936507936507936, 0.09523809523809523, 0.1111111111111111, 0.126984126984127, 0.1428571428571428, 0.1587301587301587, 0.1746031746031746, 0.1904761904761905, 0.2063492063492063, 0.2222222222222222, 0.2380952380952381, 0.253968253968254, 0.2698412698412698, 0.2857142857142857, 0.3015873015873016, 0.3174603174603174, 0.3333333333333333, 0.3492063492063492, 0.3650793650793651, 0.3809523809523809, 0.3968253968253968, 0.4126984126984127, 0.4285714285714285, 0.4444444444444444, 0.4603174603174603, 0.4761904761904762, 0.492063492063492, 0.5079365079365079, 0.5238095238095238, 0.5396825396825397, 0.5555555555555556, 0.5714285714285714, 0.5873015873015873, 0.6031746031746031, 0.6190476190476191, 0.6349206349206349, 0.6507936507936508, 0.6666666666666666, 0.6825396825396826, 0.6984126984126984, 0.7142857142857143, 0.7301587301587301, 0.746031746031746, 0.7619047619047619, 0.7777777777777778, 0.7936507936507936, 0.8095238095238095, 0.8253968253968254, 0.8412698412698413, 0.8571428571428571, 0.873015873015873, 0.8888888888888888, 0.9047619047619048, 0.9206349206349206, 0.9365079365079365, 0.9523809523809523, 0.9682539682539683, 0.9841269841269841, 1};
|
||||
float r[] = { 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.04761904761904762f, 0.09523809523809523f, 0.1428571428571428f, 0.1904761904761905f, 0.2380952380952381f, 0.2857142857142857f, 0.3333333333333333f, 0.3809523809523809f, 0.4285714285714285f, 0.4761904761904762f, 0.5238095238095238f, 0.5714285714285714f, 0.6190476190476191f, 0.6666666666666666f, 0.7142857142857143f, 0.7619047619047619f, 0.8095238095238095f, 0.8571428571428571f, 0.9047619047619048f, 0.9523809523809523f, 1};
|
||||
float g[] = { 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.02380952380952381f, 0.04761904761904762f, 0.07142857142857142f, 0.09523809523809523f, 0.119047619047619f, 0.1428571428571428f, 0.1666666666666667f, 0.1904761904761905f, 0.2142857142857143f, 0.2380952380952381f, 0.2619047619047619f, 0.2857142857142857f, 0.3095238095238095f, 0.3333333333333333f, 0.3571428571428572f, 0.3809523809523809f, 0.4047619047619048f, 0.4285714285714285f, 0.4523809523809524f, 0.4761904761904762f, 0.5f, 0.5238095238095238f, 0.5476190476190477f, 0.5714285714285714f, 0.5952380952380952f, 0.6190476190476191f, 0.6428571428571429f, 0.6666666666666666f, 0.6904761904761905f, 0.7142857142857143f, 0.7380952380952381f, 0.7619047619047619f, 0.7857142857142857f, 0.8095238095238095f, 0.8333333333333334f, 0.8571428571428571f, 0.8809523809523809f, 0.9047619047619048f, 0.9285714285714286f, 0.9523809523809523f, 0.9761904761904762f, 1};
|
||||
float b[] = { 0, 0.01587301587301587f, 0.03174603174603174f, 0.04761904761904762f, 0.06349206349206349f, 0.07936507936507936f, 0.09523809523809523f, 0.1111111111111111f, 0.126984126984127f, 0.1428571428571428f, 0.1587301587301587f, 0.1746031746031746f, 0.1904761904761905f, 0.2063492063492063f, 0.2222222222222222f, 0.2380952380952381f, 0.253968253968254f, 0.2698412698412698f, 0.2857142857142857f, 0.3015873015873016f, 0.3174603174603174f, 0.3333333333333333f, 0.3492063492063492f, 0.3650793650793651f, 0.3809523809523809f, 0.3968253968253968f, 0.4126984126984127f, 0.4285714285714285f, 0.4444444444444444f, 0.4603174603174603f, 0.4761904761904762f, 0.492063492063492f, 0.5079365079365079f, 0.5238095238095238f, 0.5396825396825397f, 0.5555555555555556f, 0.5714285714285714f, 0.5873015873015873f, 0.6031746031746031f, 0.6190476190476191f, 0.6349206349206349f, 0.6507936507936508f, 0.6666666666666666f, 0.6825396825396826f, 0.6984126984126984f, 0.7142857142857143f, 0.7301587301587301f, 0.746031746031746f, 0.7619047619047619f, 0.7777777777777778f, 0.7936507936507936f, 0.8095238095238095f, 0.8253968253968254f, 0.8412698412698413f, 0.8571428571428571f, 0.873015873015873f, 0.8888888888888888f, 0.9047619047619048f, 0.9206349206349206f, 0.9365079365079365f, 0.9523809523809523f, 0.9682539682539683f, 0.9841269841269841f, 1};
|
||||
Mat X = linspace(0,1,64);
|
||||
this->_lut = ColorMap::linear_colormap(X,
|
||||
Mat(64,1, CV_32FC1, r).clone(), // red
|
||||
@ -337,9 +337,9 @@ namespace colormap
|
||||
}
|
||||
|
||||
void init(int n) {
|
||||
float r[] = { 0, 0.01587301587301587, 0.03174603174603174, 0.04761904761904762, 0.06349206349206349, 0.07936507936507936, 0.09523809523809523, 0.1111111111111111, 0.126984126984127, 0.1428571428571428, 0.1587301587301587, 0.1746031746031746, 0.1904761904761905, 0.2063492063492063, 0.2222222222222222, 0.2380952380952381, 0.253968253968254, 0.2698412698412698, 0.2857142857142857, 0.3015873015873016, 0.3174603174603174, 0.3333333333333333, 0.3492063492063492, 0.3650793650793651, 0.3809523809523809, 0.3968253968253968, 0.4126984126984127, 0.4285714285714285, 0.4444444444444444, 0.4603174603174603, 0.4761904761904762, 0.492063492063492, 0.5079365079365079, 0.5238095238095238, 0.5396825396825397, 0.5555555555555556, 0.5714285714285714, 0.5873015873015873, 0.6031746031746031, 0.6190476190476191, 0.6349206349206349, 0.6507936507936508, 0.6666666666666666, 0.6825396825396826, 0.6984126984126984, 0.7142857142857143, 0.7301587301587301, 0.746031746031746, 0.7619047619047619, 0.7777777777777778, 0.7936507936507936, 0.8095238095238095, 0.8253968253968254, 0.8412698412698413, 0.8571428571428571, 0.873015873015873, 0.8888888888888888, 0.9047619047619048, 0.9206349206349206, 0.9365079365079365, 0.9523809523809523, 0.9682539682539683, 0.9841269841269841, 1};
|
||||
float g[] = { 0.5, 0.5079365079365079, 0.5158730158730158, 0.5238095238095238, 0.5317460317460317, 0.5396825396825397, 0.5476190476190477, 0.5555555555555556, 0.5634920634920635, 0.5714285714285714, 0.5793650793650793, 0.5873015873015873, 0.5952380952380952, 0.6031746031746031, 0.6111111111111112, 0.6190476190476191, 0.626984126984127, 0.6349206349206349, 0.6428571428571428, 0.6507936507936508, 0.6587301587301587, 0.6666666666666666, 0.6746031746031746, 0.6825396825396826, 0.6904761904761905, 0.6984126984126984, 0.7063492063492063, 0.7142857142857143, 0.7222222222222222, 0.7301587301587301, 0.7380952380952381, 0.746031746031746, 0.753968253968254, 0.7619047619047619, 0.7698412698412698, 0.7777777777777778, 0.7857142857142857, 0.7936507936507937, 0.8015873015873016, 0.8095238095238095, 0.8174603174603174, 0.8253968253968254, 0.8333333333333333, 0.8412698412698413, 0.8492063492063492, 0.8571428571428572, 0.8650793650793651, 0.873015873015873, 0.8809523809523809, 0.8888888888888888, 0.8968253968253967, 0.9047619047619048, 0.9126984126984127, 0.9206349206349207, 0.9285714285714286, 0.9365079365079365, 0.9444444444444444, 0.9523809523809523, 0.9603174603174602, 0.9682539682539683, 0.9761904761904762, 0.9841269841269842, 0.9920634920634921, 1};
|
||||
float b[] = { 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4};
|
||||
float r[] = { 0, 0.01587301587301587f, 0.03174603174603174f, 0.04761904761904762f, 0.06349206349206349f, 0.07936507936507936f, 0.09523809523809523f, 0.1111111111111111f, 0.126984126984127f, 0.1428571428571428f, 0.1587301587301587f, 0.1746031746031746f, 0.1904761904761905f, 0.2063492063492063f, 0.2222222222222222f, 0.2380952380952381f, 0.253968253968254f, 0.2698412698412698f, 0.2857142857142857f, 0.3015873015873016f, 0.3174603174603174f, 0.3333333333333333f, 0.3492063492063492f, 0.3650793650793651f, 0.3809523809523809f, 0.3968253968253968f, 0.4126984126984127f, 0.4285714285714285f, 0.4444444444444444f, 0.4603174603174603f, 0.4761904761904762f, 0.492063492063492f, 0.5079365079365079f, 0.5238095238095238f, 0.5396825396825397f, 0.5555555555555556f, 0.5714285714285714f, 0.5873015873015873f, 0.6031746031746031f, 0.6190476190476191f, 0.6349206349206349f, 0.6507936507936508f, 0.6666666666666666f, 0.6825396825396826f, 0.6984126984126984f, 0.7142857142857143f, 0.7301587301587301f, 0.746031746031746f, 0.7619047619047619f, 0.7777777777777778f, 0.7936507936507936f, 0.8095238095238095f, 0.8253968253968254f, 0.8412698412698413f, 0.8571428571428571f, 0.873015873015873f, 0.8888888888888888f, 0.9047619047619048f, 0.9206349206349206f, 0.9365079365079365f, 0.9523809523809523f, 0.9682539682539683f, 0.9841269841269841f, 1};
|
||||
float g[] = { 0.5f, 0.5079365079365079f, 0.5158730158730158f, 0.5238095238095238f, 0.5317460317460317f, 0.5396825396825397f, 0.5476190476190477f, 0.5555555555555556f, 0.5634920634920635f, 0.5714285714285714f, 0.5793650793650793f, 0.5873015873015873f, 0.5952380952380952f, 0.6031746031746031f, 0.6111111111111112f, 0.6190476190476191f, 0.626984126984127f, 0.6349206349206349f, 0.6428571428571428f, 0.6507936507936508f, 0.6587301587301587f, 0.6666666666666666f, 0.6746031746031746f, 0.6825396825396826f, 0.6904761904761905f, 0.6984126984126984f, 0.7063492063492063f, 0.7142857142857143f, 0.7222222222222222f, 0.7301587301587301f, 0.7380952380952381f, 0.746031746031746f, 0.753968253968254f, 0.7619047619047619f, 0.7698412698412698f, 0.7777777777777778f, 0.7857142857142857f, 0.7936507936507937f, 0.8015873015873016f, 0.8095238095238095f, 0.8174603174603174f, 0.8253968253968254f, 0.8333333333333333f, 0.8412698412698413f, 0.8492063492063492f, 0.8571428571428572f, 0.8650793650793651f, 0.873015873015873f, 0.8809523809523809f, 0.8888888888888888f, 0.8968253968253967f, 0.9047619047619048f, 0.9126984126984127f, 0.9206349206349207f, 0.9285714285714286f, 0.9365079365079365f, 0.9444444444444444f, 0.9523809523809523f, 0.9603174603174602f, 0.9682539682539683f, 0.9761904761904762f, 0.9841269841269842f, 0.9920634920634921f, 1};
|
||||
float b[] = { 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f};
|
||||
Mat X = linspace(0,1,64);
|
||||
this->_lut = ColorMap::linear_colormap(X,
|
||||
Mat(64,1, CV_32FC1, r).clone(), // red
|
||||
@ -362,8 +362,8 @@ namespace colormap
|
||||
|
||||
void init(int n) {
|
||||
float r[] = { 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1};
|
||||
float g[] = { 0, 0.01587301587301587, 0.03174603174603174, 0.04761904761904762, 0.06349206349206349, 0.07936507936507936, 0.09523809523809523, 0.1111111111111111, 0.126984126984127, 0.1428571428571428, 0.1587301587301587, 0.1746031746031746, 0.1904761904761905, 0.2063492063492063, 0.2222222222222222, 0.2380952380952381, 0.253968253968254, 0.2698412698412698, 0.2857142857142857, 0.3015873015873016, 0.3174603174603174, 0.3333333333333333, 0.3492063492063492, 0.3650793650793651, 0.3809523809523809, 0.3968253968253968, 0.4126984126984127, 0.4285714285714285, 0.4444444444444444, 0.4603174603174603, 0.4761904761904762, 0.492063492063492, 0.5079365079365079, 0.5238095238095238, 0.5396825396825397, 0.5555555555555556, 0.5714285714285714, 0.5873015873015873, 0.6031746031746031, 0.6190476190476191, 0.6349206349206349, 0.6507936507936508, 0.6666666666666666, 0.6825396825396826, 0.6984126984126984, 0.7142857142857143, 0.7301587301587301, 0.746031746031746, 0.7619047619047619, 0.7777777777777778, 0.7936507936507936, 0.8095238095238095, 0.8253968253968254, 0.8412698412698413, 0.8571428571428571, 0.873015873015873, 0.8888888888888888, 0.9047619047619048, 0.9206349206349206, 0.9365079365079365, 0.9523809523809523, 0.9682539682539683, 0.9841269841269841, 1};
|
||||
float b[] = { 1, 0.9841269841269842, 0.9682539682539683, 0.9523809523809523, 0.9365079365079365, 0.9206349206349207, 0.9047619047619048, 0.8888888888888888, 0.873015873015873, 0.8571428571428572, 0.8412698412698413, 0.8253968253968254, 0.8095238095238095, 0.7936507936507937, 0.7777777777777778, 0.7619047619047619, 0.746031746031746, 0.7301587301587302, 0.7142857142857143, 0.6984126984126984, 0.6825396825396826, 0.6666666666666667, 0.6507936507936508, 0.6349206349206349, 0.6190476190476191, 0.6031746031746033, 0.5873015873015873, 0.5714285714285714, 0.5555555555555556, 0.5396825396825398, 0.5238095238095238, 0.5079365079365079, 0.4920634920634921, 0.4761904761904762, 0.4603174603174603, 0.4444444444444444, 0.4285714285714286, 0.4126984126984127, 0.3968253968253969, 0.3809523809523809, 0.3650793650793651, 0.3492063492063492, 0.3333333333333334, 0.3174603174603174, 0.3015873015873016, 0.2857142857142857, 0.2698412698412699, 0.253968253968254, 0.2380952380952381, 0.2222222222222222, 0.2063492063492064, 0.1904761904761905, 0.1746031746031746, 0.1587301587301587, 0.1428571428571429, 0.126984126984127, 0.1111111111111112, 0.09523809523809523, 0.07936507936507942, 0.06349206349206349, 0.04761904761904767, 0.03174603174603174, 0.01587301587301593, 0};
|
||||
float g[] = { 0, 0.01587301587301587f, 0.03174603174603174f, 0.04761904761904762f, 0.06349206349206349f, 0.07936507936507936f, 0.09523809523809523f, 0.1111111111111111f, 0.126984126984127f, 0.1428571428571428f, 0.1587301587301587f, 0.1746031746031746f, 0.1904761904761905f, 0.2063492063492063f, 0.2222222222222222f, 0.2380952380952381f, 0.253968253968254f, 0.2698412698412698f, 0.2857142857142857f, 0.3015873015873016f, 0.3174603174603174f, 0.3333333333333333f, 0.3492063492063492f, 0.3650793650793651f, 0.3809523809523809f, 0.3968253968253968f, 0.4126984126984127f, 0.4285714285714285f, 0.4444444444444444f, 0.4603174603174603f, 0.4761904761904762f, 0.492063492063492f, 0.5079365079365079f, 0.5238095238095238f, 0.5396825396825397f, 0.5555555555555556f, 0.5714285714285714f, 0.5873015873015873f, 0.6031746031746031f, 0.6190476190476191f, 0.6349206349206349f, 0.6507936507936508f, 0.6666666666666666f, 0.6825396825396826f, 0.6984126984126984f, 0.7142857142857143f, 0.7301587301587301f, 0.746031746031746f, 0.7619047619047619f, 0.7777777777777778f, 0.7936507936507936f, 0.8095238095238095f, 0.8253968253968254f, 0.8412698412698413f, 0.8571428571428571f, 0.873015873015873f, 0.8888888888888888f, 0.9047619047619048f, 0.9206349206349206f, 0.9365079365079365f, 0.9523809523809523f, 0.9682539682539683f, 0.9841269841269841f, 1};
|
||||
float b[] = { 1, 0.9841269841269842f, 0.9682539682539683f, 0.9523809523809523f, 0.9365079365079365f, 0.9206349206349207f, 0.9047619047619048f, 0.8888888888888888f, 0.873015873015873f, 0.8571428571428572f, 0.8412698412698413f, 0.8253968253968254f, 0.8095238095238095f, 0.7936507936507937f, 0.7777777777777778f, 0.7619047619047619f, 0.746031746031746f, 0.7301587301587302f, 0.7142857142857143f, 0.6984126984126984f, 0.6825396825396826f, 0.6666666666666667f, 0.6507936507936508f, 0.6349206349206349f, 0.6190476190476191f, 0.6031746031746033f, 0.5873015873015873f, 0.5714285714285714f, 0.5555555555555556f, 0.5396825396825398f, 0.5238095238095238f, 0.5079365079365079f, 0.4920634920634921f, 0.4761904761904762f, 0.4603174603174603f, 0.4444444444444444f, 0.4285714285714286f, 0.4126984126984127f, 0.3968253968253969f, 0.3809523809523809f, 0.3650793650793651f, 0.3492063492063492f, 0.3333333333333334f, 0.3174603174603174f, 0.3015873015873016f, 0.2857142857142857f, 0.2698412698412699f, 0.253968253968254f, 0.2380952380952381f, 0.2222222222222222f, 0.2063492063492064f, 0.1904761904761905f, 0.1746031746031746f, 0.1587301587301587f, 0.1428571428571429f, 0.126984126984127f, 0.1111111111111112f, 0.09523809523809523f, 0.07936507936507942f, 0.06349206349206349f, 0.04761904761904767f, 0.03174603174603174f, 0.01587301587301593f, 0};
|
||||
Mat X = linspace(0,1,64);
|
||||
this->_lut = ColorMap::linear_colormap(X,
|
||||
Mat(64,1, CV_32FC1, r).clone(), // red
|
||||
@ -385,8 +385,8 @@ namespace colormap
|
||||
}
|
||||
|
||||
void init(int n) {
|
||||
float r[] = { 0, 0.01587301587301587, 0.03174603174603174, 0.04761904761904762, 0.06349206349206349, 0.07936507936507936, 0.09523809523809523, 0.1111111111111111, 0.126984126984127, 0.1428571428571428, 0.1587301587301587, 0.1746031746031746, 0.1904761904761905, 0.2063492063492063, 0.2222222222222222, 0.2380952380952381, 0.253968253968254, 0.2698412698412698, 0.2857142857142857, 0.3015873015873016, 0.3174603174603174, 0.3333333333333333, 0.3492063492063492, 0.3650793650793651, 0.3809523809523809, 0.3968253968253968, 0.4126984126984127, 0.4285714285714285, 0.4444444444444444, 0.4603174603174603, 0.4761904761904762, 0.492063492063492, 0.5079365079365079, 0.5238095238095238, 0.5396825396825397, 0.5555555555555556, 0.5714285714285714, 0.5873015873015873, 0.6031746031746031, 0.6190476190476191, 0.6349206349206349, 0.6507936507936508, 0.6666666666666666, 0.6825396825396826, 0.6984126984126984, 0.7142857142857143, 0.7301587301587301, 0.746031746031746, 0.7619047619047619, 0.7777777777777778, 0.7936507936507936, 0.8095238095238095, 0.8253968253968254, 0.8412698412698413, 0.8571428571428571, 0.873015873015873, 0.8888888888888888, 0.9047619047619048, 0.9206349206349206, 0.9365079365079365, 0.9523809523809523, 0.9682539682539683, 0.9841269841269841, 1};
|
||||
float g[] = { 1, 0.9841269841269842, 0.9682539682539683, 0.9523809523809523, 0.9365079365079365, 0.9206349206349207, 0.9047619047619048, 0.8888888888888888, 0.873015873015873, 0.8571428571428572, 0.8412698412698413, 0.8253968253968254, 0.8095238095238095, 0.7936507936507937, 0.7777777777777778, 0.7619047619047619, 0.746031746031746, 0.7301587301587302, 0.7142857142857143, 0.6984126984126984, 0.6825396825396826, 0.6666666666666667, 0.6507936507936508, 0.6349206349206349, 0.6190476190476191, 0.6031746031746033, 0.5873015873015873, 0.5714285714285714, 0.5555555555555556, 0.5396825396825398, 0.5238095238095238, 0.5079365079365079, 0.4920634920634921, 0.4761904761904762, 0.4603174603174603, 0.4444444444444444, 0.4285714285714286, 0.4126984126984127, 0.3968253968253969, 0.3809523809523809, 0.3650793650793651, 0.3492063492063492, 0.3333333333333334, 0.3174603174603174, 0.3015873015873016, 0.2857142857142857, 0.2698412698412699, 0.253968253968254, 0.2380952380952381, 0.2222222222222222, 0.2063492063492064, 0.1904761904761905, 0.1746031746031746, 0.1587301587301587, 0.1428571428571429, 0.126984126984127, 0.1111111111111112, 0.09523809523809523, 0.07936507936507942, 0.06349206349206349, 0.04761904761904767, 0.03174603174603174, 0.01587301587301593, 0};
|
||||
float r[] = { 0, 0.01587301587301587f, 0.03174603174603174f, 0.04761904761904762f, 0.06349206349206349f, 0.07936507936507936f, 0.09523809523809523f, 0.1111111111111111f, 0.126984126984127f, 0.1428571428571428f, 0.1587301587301587f, 0.1746031746031746f, 0.1904761904761905f, 0.2063492063492063f, 0.2222222222222222f, 0.2380952380952381f, 0.253968253968254f, 0.2698412698412698f, 0.2857142857142857f, 0.3015873015873016f, 0.3174603174603174f, 0.3333333333333333f, 0.3492063492063492f, 0.3650793650793651f, 0.3809523809523809f, 0.3968253968253968f, 0.4126984126984127f, 0.4285714285714285f, 0.4444444444444444f, 0.4603174603174603f, 0.4761904761904762f, 0.492063492063492f, 0.5079365079365079f, 0.5238095238095238f, 0.5396825396825397f, 0.5555555555555556f, 0.5714285714285714f, 0.5873015873015873f, 0.6031746031746031f, 0.6190476190476191f, 0.6349206349206349f, 0.6507936507936508f, 0.6666666666666666f, 0.6825396825396826f, 0.6984126984126984f, 0.7142857142857143f, 0.7301587301587301f, 0.746031746031746f, 0.7619047619047619f, 0.7777777777777778f, 0.7936507936507936f, 0.8095238095238095f, 0.8253968253968254f, 0.8412698412698413f, 0.8571428571428571f, 0.873015873015873f, 0.8888888888888888f, 0.9047619047619048f, 0.9206349206349206f, 0.9365079365079365f, 0.9523809523809523f, 0.9682539682539683f, 0.9841269841269841f, 1};
|
||||
float g[] = { 1, 0.9841269841269842f, 0.9682539682539683f, 0.9523809523809523f, 0.9365079365079365f, 0.9206349206349207f, 0.9047619047619048f, 0.8888888888888888f, 0.873015873015873f, 0.8571428571428572f, 0.8412698412698413f, 0.8253968253968254f, 0.8095238095238095f, 0.7936507936507937f, 0.7777777777777778f, 0.7619047619047619f, 0.746031746031746f, 0.7301587301587302f, 0.7142857142857143f, 0.6984126984126984f, 0.6825396825396826f, 0.6666666666666667f, 0.6507936507936508f, 0.6349206349206349f, 0.6190476190476191f, 0.6031746031746033f, 0.5873015873015873f, 0.5714285714285714f, 0.5555555555555556f, 0.5396825396825398f, 0.5238095238095238f, 0.5079365079365079f, 0.4920634920634921f, 0.4761904761904762f, 0.4603174603174603f, 0.4444444444444444f, 0.4285714285714286f, 0.4126984126984127f, 0.3968253968253969f, 0.3809523809523809f, 0.3650793650793651f, 0.3492063492063492f, 0.3333333333333334f, 0.3174603174603174f, 0.3015873015873016f, 0.2857142857142857f, 0.2698412698412699f, 0.253968253968254f, 0.2380952380952381f, 0.2222222222222222f, 0.2063492063492064f, 0.1904761904761905f, 0.1746031746031746f, 0.1587301587301587f, 0.1428571428571429f, 0.126984126984127f, 0.1111111111111112f, 0.09523809523809523f, 0.07936507936507942f, 0.06349206349206349f, 0.04761904761904767f, 0.03174603174603174f, 0.01587301587301593f, 0};
|
||||
float b[] = { 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1};
|
||||
Mat X = linspace(0,1,64);
|
||||
this->_lut = ColorMap::linear_colormap(X,
|
||||
@ -409,9 +409,9 @@ namespace colormap
|
||||
}
|
||||
|
||||
void init(int n) {
|
||||
float r[] = { 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0.9523809523809526, 0.8571428571428568, 0.7619047619047614, 0.6666666666666665, 0.5714285714285716, 0.4761904761904763, 0.3809523809523805, 0.2857142857142856, 0.1904761904761907, 0.0952380952380949, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.09523809523809557, 0.1904761904761905, 0.2857142857142854, 0.3809523809523809, 0.4761904761904765, 0.5714285714285714, 0.6666666666666663, 0.7619047619047619, 0.8571428571428574, 0.9523809523809523, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1};
|
||||
float g[] = { 0, 0.09523809523809523, 0.1904761904761905, 0.2857142857142857, 0.3809523809523809, 0.4761904761904762, 0.5714285714285714, 0.6666666666666666, 0.7619047619047619, 0.8571428571428571, 0.9523809523809523, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0.9523809523809526, 0.8571428571428577, 0.7619047619047619, 0.6666666666666665, 0.5714285714285716, 0.4761904761904767, 0.3809523809523814, 0.2857142857142856, 0.1904761904761907, 0.09523809523809579, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0};
|
||||
float b[] = { 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.09523809523809523, 0.1904761904761905, 0.2857142857142857, 0.3809523809523809, 0.4761904761904762, 0.5714285714285714, 0.6666666666666666, 0.7619047619047619, 0.8571428571428571, 0.9523809523809523, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0.9523809523809526, 0.8571428571428577, 0.7619047619047614, 0.6666666666666665, 0.5714285714285716, 0.4761904761904767, 0.3809523809523805, 0.2857142857142856, 0.1904761904761907, 0.09523809523809579, 0};
|
||||
float r[] = { 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0.9523809523809526f, 0.8571428571428568f, 0.7619047619047614f, 0.6666666666666665f, 0.5714285714285716f, 0.4761904761904763f, 0.3809523809523805f, 0.2857142857142856f, 0.1904761904761907f, 0.0952380952380949f, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.09523809523809557f, 0.1904761904761905f, 0.2857142857142854f, 0.3809523809523809f, 0.4761904761904765f, 0.5714285714285714f, 0.6666666666666663f, 0.7619047619047619f, 0.8571428571428574f, 0.9523809523809523f, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1};
|
||||
float g[] = { 0, 0.09523809523809523f, 0.1904761904761905f, 0.2857142857142857f, 0.3809523809523809f, 0.4761904761904762f, 0.5714285714285714f, 0.6666666666666666f, 0.7619047619047619f, 0.8571428571428571f, 0.9523809523809523f, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0.9523809523809526f, 0.8571428571428577f, 0.7619047619047619f, 0.6666666666666665f, 0.5714285714285716f, 0.4761904761904767f, 0.3809523809523814f, 0.2857142857142856f, 0.1904761904761907f, 0.09523809523809579f, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0};
|
||||
float b[] = { 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.09523809523809523f, 0.1904761904761905f, 0.2857142857142857f, 0.3809523809523809f, 0.4761904761904762f, 0.5714285714285714f, 0.6666666666666666f, 0.7619047619047619f, 0.8571428571428571f, 0.9523809523809523f, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0.9523809523809526f, 0.8571428571428577f, 0.7619047619047614f, 0.6666666666666665f, 0.5714285714285716f, 0.4761904761904767f, 0.3809523809523805f, 0.2857142857142856f, 0.1904761904761907f, 0.09523809523809579f, 0};
|
||||
Mat X = linspace(0,1,64);
|
||||
this->_lut = ColorMap::linear_colormap(X,
|
||||
Mat(64,1, CV_32FC1, r).clone(), // red
|
||||
@ -433,9 +433,9 @@ namespace colormap
|
||||
}
|
||||
|
||||
void init(int n) {
|
||||
float r[] = { 0, 0.1571348402636772, 0.2222222222222222, 0.2721655269759087, 0.3142696805273544, 0.3513641844631533, 0.3849001794597505, 0.415739709641549, 0.4444444444444444, 0.4714045207910317, 0.4969039949999532, 0.5211573066470477, 0.5443310539518174, 0.5665577237325317, 0.5879447357921312, 0.6085806194501846, 0.6285393610547089, 0.6478835438717, 0.6666666666666666, 0.6849348892187751, 0.7027283689263065, 0.7200822998230956, 0.7370277311900888, 0.753592220347252, 0.7663560447348133, 0.7732293307186413, 0.7800420555749596, 0.7867957924694432, 0.7934920476158722, 0.8001322641986387, 0.8067178260046388, 0.8132500607904444, 0.8197302434079591, 0.8261595987094034, 0.8325393042503717, 0.8388704928078611, 0.8451542547285166, 0.8513916401208816, 0.8575836609041332, 0.8637312927246217, 0.8698354767504924, 0.8758971213537393, 0.8819171036881968, 0.8878962711712378, 0.8938354428762595, 0.8997354108424372, 0.9055969413076769, 0.9114207758701963, 0.9172076325837248, 0.9229582069908971, 0.9286731730990523, 0.9343531843023135, 0.9399988742535192, 0.9456108576893002, 0.9511897312113418, 0.9567360740266436, 0.9622504486493763, 0.9677334015667416, 0.9731854638710686, 0.9786071518602129, 0.9839989676081821, 0.9893613995077727, 0.9946949227868761, 1};
|
||||
float g[] = { 0, 0.1028688999747279, 0.1454785934906616, 0.1781741612749496, 0.2057377999494559, 0.2300218531141181, 0.2519763153394848, 0.2721655269759087, 0.2909571869813232, 0.3086066999241838, 0.3253000243161777, 0.3411775438127727, 0.3563483225498992, 0.3708990935094579, 0.3849001794597505, 0.3984095364447979, 0.4114755998989117, 0.4241393401869012, 0.4364357804719847, 0.4483951394230328, 0.4600437062282361, 0.4714045207910317, 0.4824979096371639, 0.4933419132673033, 0.5091750772173156, 0.5328701692569688, 0.5555555555555556, 0.5773502691896257, 0.5983516452371671, 0.6186404847588913, 0.6382847385042254, 0.6573421981221795, 0.6758625033664688, 0.6938886664887108, 0.7114582486036499, 0.7286042804780002, 0.7453559924999299, 0.7617394000445604, 0.7777777777777778, 0.7934920476158723, 0.8089010988089465, 0.8240220541217402, 0.8388704928078611, 0.8534606386520677, 0.8678055195451838, 0.8819171036881968, 0.8958064164776166, 0.9094836413191612, 0.9172076325837248, 0.9229582069908971, 0.9286731730990523, 0.9343531843023135, 0.9399988742535192, 0.9456108576893002, 0.9511897312113418, 0.9567360740266436, 0.9622504486493763, 0.9677334015667416, 0.9731854638710686, 0.9786071518602129, 0.9839989676081821, 0.9893613995077727, 0.9946949227868761, 1};
|
||||
float b[] = { 0, 0.1028688999747279, 0.1454785934906616, 0.1781741612749496, 0.2057377999494559, 0.2300218531141181, 0.2519763153394848, 0.2721655269759087, 0.2909571869813232, 0.3086066999241838, 0.3253000243161777, 0.3411775438127727, 0.3563483225498992, 0.3708990935094579, 0.3849001794597505, 0.3984095364447979, 0.4114755998989117, 0.4241393401869012, 0.4364357804719847, 0.4483951394230328, 0.4600437062282361, 0.4714045207910317, 0.4824979096371639, 0.4933419132673033, 0.5039526306789697, 0.5143444998736397, 0.5245305283129621, 0.5345224838248488, 0.5443310539518174, 0.5539659798925444, 0.563436169819011, 0.5727497953228163, 0.5819143739626463, 0.5909368402852788, 0.5998236072282915, 0.6085806194501846, 0.6172133998483676, 0.6257270902992705, 0.6341264874742278, 0.642416074439621, 0.6506000486323554, 0.6586823467062358, 0.6666666666666666, 0.6745564876468501, 0.6823550876255453, 0.6900655593423541, 0.6976908246297114, 0.7052336473499384, 0.7237468644557459, 0.7453559924999298, 0.7663560447348133, 0.7867957924694432, 0.8067178260046388, 0.8261595987094034, 0.8451542547285166, 0.8637312927246217, 0.8819171036881968, 0.8997354108424372, 0.9172076325837248, 0.9343531843023135, 0.9511897312113418, 0.9677334015667416, 0.9839989676081821, 1};
|
||||
float r[] = { 0, 0.1571348402636772f, 0.2222222222222222f, 0.2721655269759087f, 0.3142696805273544f, 0.3513641844631533f, 0.3849001794597505f, 0.415739709641549f, 0.4444444444444444f, 0.4714045207910317f, 0.4969039949999532f, 0.5211573066470477f, 0.5443310539518174f, 0.5665577237325317f, 0.5879447357921312f, 0.6085806194501846f, 0.6285393610547089f, 0.6478835438717f, 0.6666666666666666f, 0.6849348892187751f, 0.7027283689263065f, 0.7200822998230956f, 0.7370277311900888f, 0.753592220347252f, 0.7663560447348133f, 0.7732293307186413f, 0.7800420555749596f, 0.7867957924694432f, 0.7934920476158722f, 0.8001322641986387f, 0.8067178260046388f, 0.8132500607904444f, 0.8197302434079591f, 0.8261595987094034f, 0.8325393042503717f, 0.8388704928078611f, 0.8451542547285166f, 0.8513916401208816f, 0.8575836609041332f, 0.8637312927246217f, 0.8698354767504924f, 0.8758971213537393f, 0.8819171036881968f, 0.8878962711712378f, 0.8938354428762595f, 0.8997354108424372f, 0.9055969413076769f, 0.9114207758701963f, 0.9172076325837248f, 0.9229582069908971f, 0.9286731730990523f, 0.9343531843023135f, 0.9399988742535192f, 0.9456108576893002f, 0.9511897312113418f, 0.9567360740266436f, 0.9622504486493763f, 0.9677334015667416f, 0.9731854638710686f, 0.9786071518602129f, 0.9839989676081821f, 0.9893613995077727f, 0.9946949227868761f, 1};
|
||||
float g[] = { 0, 0.1028688999747279f, 0.1454785934906616f, 0.1781741612749496f, 0.2057377999494559f, 0.2300218531141181f, 0.2519763153394848f, 0.2721655269759087f, 0.2909571869813232f, 0.3086066999241838f, 0.3253000243161777f, 0.3411775438127727f, 0.3563483225498992f, 0.3708990935094579f, 0.3849001794597505f, 0.3984095364447979f, 0.4114755998989117f, 0.4241393401869012f, 0.4364357804719847f, 0.4483951394230328f, 0.4600437062282361f, 0.4714045207910317f, 0.4824979096371639f, 0.4933419132673033f, 0.5091750772173156f, 0.5328701692569688f, 0.5555555555555556f, 0.5773502691896257f, 0.5983516452371671f, 0.6186404847588913f, 0.6382847385042254f, 0.6573421981221795f, 0.6758625033664688f, 0.6938886664887108f, 0.7114582486036499f, 0.7286042804780002f, 0.7453559924999299f, 0.7617394000445604f, 0.7777777777777778f, 0.7934920476158723f, 0.8089010988089465f, 0.8240220541217402f, 0.8388704928078611f, 0.8534606386520677f, 0.8678055195451838f, 0.8819171036881968f, 0.8958064164776166f, 0.9094836413191612f, 0.9172076325837248f, 0.9229582069908971f, 0.9286731730990523f, 0.9343531843023135f, 0.9399988742535192f, 0.9456108576893002f, 0.9511897312113418f, 0.9567360740266436f, 0.9622504486493763f, 0.9677334015667416f, 0.9731854638710686f, 0.9786071518602129f, 0.9839989676081821f, 0.9893613995077727f, 0.9946949227868761f, 1};
|
||||
float b[] = { 0, 0.1028688999747279f, 0.1454785934906616f, 0.1781741612749496f, 0.2057377999494559f, 0.2300218531141181f, 0.2519763153394848f, 0.2721655269759087f, 0.2909571869813232f, 0.3086066999241838f, 0.3253000243161777f, 0.3411775438127727f, 0.3563483225498992f, 0.3708990935094579f, 0.3849001794597505f, 0.3984095364447979f, 0.4114755998989117f, 0.4241393401869012f, 0.4364357804719847f, 0.4483951394230328f, 0.4600437062282361f, 0.4714045207910317f, 0.4824979096371639f, 0.4933419132673033f, 0.5039526306789697f, 0.5143444998736397f, 0.5245305283129621f, 0.5345224838248488f, 0.5443310539518174f, 0.5539659798925444f, 0.563436169819011f, 0.5727497953228163f, 0.5819143739626463f, 0.5909368402852788f, 0.5998236072282915f, 0.6085806194501846f, 0.6172133998483676f, 0.6257270902992705f, 0.6341264874742278f, 0.642416074439621f, 0.6506000486323554f, 0.6586823467062358f, 0.6666666666666666f, 0.6745564876468501f, 0.6823550876255453f, 0.6900655593423541f, 0.6976908246297114f, 0.7052336473499384f, 0.7237468644557459f, 0.7453559924999298f, 0.7663560447348133f, 0.7867957924694432f, 0.8067178260046388f, 0.8261595987094034f, 0.8451542547285166f, 0.8637312927246217f, 0.8819171036881968f, 0.8997354108424372f, 0.9172076325837248f, 0.9343531843023135f, 0.9511897312113418f, 0.9677334015667416f, 0.9839989676081821f, 1};
|
||||
Mat X = linspace(0,1,64);
|
||||
this->_lut = ColorMap::linear_colormap(X,
|
||||
Mat(64,1, CV_32FC1, r).clone(), // red
|
||||
@ -457,9 +457,9 @@ namespace colormap
|
||||
}
|
||||
|
||||
void init(int n) {
|
||||
float r[] = { 0, 0.03968253968253968, 0.07936507936507936, 0.119047619047619, 0.1587301587301587, 0.1984126984126984, 0.2380952380952381, 0.2777777777777778, 0.3174603174603174, 0.3571428571428571, 0.3968253968253968, 0.4365079365079365, 0.4761904761904762, 0.5158730158730158, 0.5555555555555556, 0.5952380952380952, 0.6349206349206349, 0.6746031746031745, 0.7142857142857142, 0.753968253968254, 0.7936507936507936, 0.8333333333333333, 0.873015873015873, 0.9126984126984127, 0.9523809523809523, 0.992063492063492, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1};
|
||||
float g[] = { 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.03174603174603163, 0.0714285714285714, 0.1111111111111112, 0.1507936507936507, 0.1904761904761905, 0.23015873015873, 0.2698412698412698, 0.3095238095238093, 0.3492063492063491, 0.3888888888888888, 0.4285714285714284, 0.4682539682539679, 0.5079365079365079, 0.5476190476190477, 0.5873015873015872, 0.6269841269841268, 0.6666666666666665, 0.7063492063492065, 0.746031746031746, 0.7857142857142856, 0.8253968253968254, 0.8650793650793651, 0.9047619047619047, 0.9444444444444442, 0.984126984126984, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1};
|
||||
float b[] = { 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.04761904761904745, 0.1269841269841265, 0.2063492063492056, 0.2857142857142856, 0.3650793650793656, 0.4444444444444446, 0.5238095238095237, 0.6031746031746028, 0.6825396825396828, 0.7619047619047619, 0.8412698412698409, 0.92063492063492, 1};
|
||||
float r[] = { 0, 0.03968253968253968f, 0.07936507936507936f, 0.119047619047619f, 0.1587301587301587f, 0.1984126984126984f, 0.2380952380952381f, 0.2777777777777778f, 0.3174603174603174f, 0.3571428571428571f, 0.3968253968253968f, 0.4365079365079365f, 0.4761904761904762f, 0.5158730158730158f, 0.5555555555555556f, 0.5952380952380952f, 0.6349206349206349f, 0.6746031746031745f, 0.7142857142857142f, 0.753968253968254f, 0.7936507936507936f, 0.8333333333333333f, 0.873015873015873f, 0.9126984126984127f, 0.9523809523809523f, 0.992063492063492f, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1};
|
||||
float g[] = { 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.03174603174603163f, 0.0714285714285714f, 0.1111111111111112f, 0.1507936507936507f, 0.1904761904761905f, 0.23015873015873f, 0.2698412698412698f, 0.3095238095238093f, 0.3492063492063491f, 0.3888888888888888f, 0.4285714285714284f, 0.4682539682539679f, 0.5079365079365079f, 0.5476190476190477f, 0.5873015873015872f, 0.6269841269841268f, 0.6666666666666665f, 0.7063492063492065f, 0.746031746031746f, 0.7857142857142856f, 0.8253968253968254f, 0.8650793650793651f, 0.9047619047619047f, 0.9444444444444442f, 0.984126984126984f, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1};
|
||||
float b[] = { 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.04761904761904745f, 0.1269841269841265f, 0.2063492063492056f, 0.2857142857142856f, 0.3650793650793656f, 0.4444444444444446f, 0.5238095238095237f, 0.6031746031746028f, 0.6825396825396828f, 0.7619047619047619f, 0.8412698412698409f, 0.92063492063492f, 1};
|
||||
Mat X = linspace(0,1,64);
|
||||
this->_lut = ColorMap::linear_colormap(X,
|
||||
Mat(64,1, CV_32FC1, r).clone(), // red
|
||||
@ -481,9 +481,9 @@ namespace colormap
|
||||
}
|
||||
|
||||
void init(int n) {
|
||||
float r[] = { 0.2078, 0.0118, 0.0784, 0.0235, 0.2196, 0.5725, 0.8510, 0.9882, 0.9765 };
|
||||
float g[] = { 0.1647, 0.3882, 0.5216, 0.6549, 0.7255, 0.7490, 0.7294, 0.8078, 0.9843 };
|
||||
float b[] = { 0.5294, 0.8824, 0.8314, 0.7765, 0.6196, 0.4510, 0.3373, 0.1804, 0.0549 };
|
||||
float r[] = { 0.2078f, 0.0118f, 0.0784f, 0.0235f, 0.2196f, 0.5725f, 0.8510f, 0.9882f, 0.9765f };
|
||||
float g[] = { 0.1647f, 0.3882f, 0.5216f, 0.6549f, 0.7255f, 0.7490f, 0.7294f, 0.8078f, 0.9843f };
|
||||
float b[] = { 0.5294f, 0.8824f, 0.8314f, 0.7765f, 0.6196f, 0.4510f, 0.3373f, 0.1804f, 0.0549f };
|
||||
Mat X = linspace(0, 1, 9);
|
||||
this->_lut = ColorMap::linear_colormap(X,
|
||||
Mat(9, 1, CV_32FC1, r).clone(), // red
|
||||
|
||||
@ -394,7 +394,7 @@ static bool extractCovData(InputArray _src, UMat & Dx, UMat & Dy, int depth,
|
||||
Dx.create(src.size(), CV_32FC1);
|
||||
Dy.create(src.size(), CV_32FC1);
|
||||
|
||||
size_t localsize[2] = { sobel_lsz, sobel_lsz };
|
||||
size_t localsize[2] = { (size_t)sobel_lsz, (size_t)sobel_lsz };
|
||||
size_t globalsize[2] = { localsize[0] * (1 + (src.cols - 1) / localsize[0]),
|
||||
localsize[1] * (1 + (src.rows - 1) / localsize[1]) };
|
||||
|
||||
@ -515,7 +515,7 @@ static bool ocl_preCornerDetect( InputArray _src, OutputArray _dst, int ksize, i
|
||||
ocl::KernelArg::ReadOnlyNoSize(D2x), ocl::KernelArg::ReadOnlyNoSize(D2y),
|
||||
ocl::KernelArg::ReadOnlyNoSize(Dxy), ocl::KernelArg::WriteOnly(dst), (float)factor);
|
||||
|
||||
size_t globalsize[2] = { dst.cols, dst.rows };
|
||||
size_t globalsize[2] = { (size_t)dst.cols, (size_t)dst.rows };
|
||||
return k.run(2, globalsize, NULL, false);
|
||||
}
|
||||
|
||||
|
||||
@ -702,7 +702,7 @@ static bool ocl_Laplacian5(InputArray _src, OutputArray _dst,
|
||||
else
|
||||
k.args(d2xarg, d2yarg, dstarg, iscale, idelta);
|
||||
|
||||
size_t globalsize[] = { dst.cols * cn / kercn, dst.rows };
|
||||
size_t globalsize[] = { (size_t)dst.cols * cn / kercn, (size_t)dst.rows };
|
||||
return k.run(2, globalsize, NULL, false);
|
||||
}
|
||||
|
||||
|
||||
@ -156,7 +156,7 @@ static bool ocl_goodFeaturesToTrack( InputArray _image, OutputArray _corners,
|
||||
thresholdarg, (int)possibleCornersCount);
|
||||
}
|
||||
|
||||
size_t globalsize[2] = { eig.cols - 2, eig.rows - 2 };
|
||||
size_t globalsize[2] = { (size_t)eig.cols - 2, (size_t)eig.rows - 2 };
|
||||
if (!k.run(2, globalsize, NULL, false))
|
||||
return false;
|
||||
|
||||
|
||||
@ -4031,7 +4031,7 @@ static bool ocl_filter2D( InputArray _src, OutputArray _dst, int ddepth,
|
||||
|
||||
cv::Mat kernelMat = _kernel.getMat();
|
||||
cv::Size sz = _src.size(), wholeSize;
|
||||
size_t globalsize[2] = { sz.width, sz.height };
|
||||
size_t globalsize[2] = { (size_t)sz.width, (size_t)sz.height };
|
||||
size_t localsize_general[2] = {0, 1};
|
||||
size_t* localsize = NULL;
|
||||
|
||||
|
||||
@ -2220,7 +2220,7 @@ static bool ocl_calcBackProject( InputArrayOfArrays _images, std::vector<int> ch
|
||||
mapk.args(ocl::KernelArg::ReadOnlyNoSize(im), ocl::KernelArg::PtrReadOnly(lut),
|
||||
ocl::KernelArg::WriteOnly(dst));
|
||||
|
||||
size_t globalsize[2] = { size.width, size.height };
|
||||
size_t globalsize[2] = { (size_t)size.width, (size_t)size.height };
|
||||
return mapk.run(2, globalsize, NULL, false);
|
||||
}
|
||||
else if (histdims == 2)
|
||||
@ -2267,7 +2267,7 @@ static bool ocl_calcBackProject( InputArrayOfArrays _images, std::vector<int> ch
|
||||
mapk.args(ocl::KernelArg::ReadOnlyNoSize(im0), ocl::KernelArg::ReadOnlyNoSize(im1),
|
||||
ocl::KernelArg::ReadOnlyNoSize(hist), ocl::KernelArg::PtrReadOnly(lut), scale, ocl::KernelArg::WriteOnly(dst));
|
||||
|
||||
size_t globalsize[2] = { size.width, size.height };
|
||||
size_t globalsize[2] = { (size_t)size.width, (size_t)size.height };
|
||||
return mapk.run(2, globalsize, NULL, false);
|
||||
}
|
||||
return false;
|
||||
|
||||
@ -680,8 +680,8 @@ static bool ocl_makePointsList(InputArray _src, OutputArray _pointsList, InputOu
|
||||
pointListKernel.args(ocl::KernelArg::ReadOnly(src), ocl::KernelArg::WriteOnlyNoSize(pointsList),
|
||||
ocl::KernelArg::PtrWriteOnly(counters));
|
||||
|
||||
size_t localThreads[2] = { workgroup_size, 1 };
|
||||
size_t globalThreads[2] = { workgroup_size, src.rows };
|
||||
size_t localThreads[2] = { (size_t)workgroup_size, 1 };
|
||||
size_t globalThreads[2] = { (size_t)workgroup_size, (size_t)src.rows };
|
||||
|
||||
return pointListKernel.run(2, globalThreads, localThreads, false);
|
||||
}
|
||||
@ -775,7 +775,7 @@ static bool ocl_HoughLines(InputArray _src, OutputArray _lines, double rho, doub
|
||||
getLinesKernel.args(ocl::KernelArg::ReadOnly(accum), ocl::KernelArg::WriteOnlyNoSize(lines),
|
||||
ocl::KernelArg::PtrWriteOnly(counters), linesMax, threshold, (float) rho, (float) theta);
|
||||
|
||||
size_t globalThreads[2] = { (numrho + pixPerWI - 1)/pixPerWI, numangle };
|
||||
size_t globalThreads[2] = { ((size_t)numrho + pixPerWI - 1)/pixPerWI, (size_t)numangle };
|
||||
if (!getLinesKernel.run(2, globalThreads, NULL, false))
|
||||
return false;
|
||||
|
||||
@ -829,7 +829,7 @@ static bool ocl_HoughLinesP(InputArray _src, OutputArray _lines, double rho, dou
|
||||
ocl::KernelArg::WriteOnlyNoSize(lines), ocl::KernelArg::PtrWriteOnly(counters),
|
||||
linesMax, threshold, (int) minLineLength, (int) maxGap, (float) rho, (float) theta);
|
||||
|
||||
size_t globalThreads[2] = { numrho, numangle };
|
||||
size_t globalThreads[2] = { (size_t)numrho, (size_t)numangle };
|
||||
if (!getLinesKernel.run(2, globalThreads, NULL, false))
|
||||
return false;
|
||||
|
||||
|
||||
@ -2900,7 +2900,7 @@ static bool ocl_resize( InputArray _src, OutputArray _dst, Size dsize,
|
||||
|
||||
Size ssize = src.size();
|
||||
ocl::Kernel k;
|
||||
size_t globalsize[] = { dst.cols, dst.rows };
|
||||
size_t globalsize[] = { (size_t)dst.cols, (size_t)dst.rows };
|
||||
|
||||
ocl::Image2D srcImage;
|
||||
|
||||
@ -4566,7 +4566,7 @@ static bool ocl_remap(InputArray _src, OutputArray _dst, InputArray _map1, Input
|
||||
else
|
||||
k.args(srcarg, dstarg, map1arg, ocl::KernelArg::ReadOnlyNoSize(map2), scalararg);
|
||||
|
||||
size_t globalThreads[2] = { dst.cols, (dst.rows + rowsPerWI - 1) / rowsPerWI };
|
||||
size_t globalThreads[2] = { (size_t)dst.cols, ((size_t)dst.rows + rowsPerWI - 1) / rowsPerWI };
|
||||
return k.run(2, globalThreads, NULL, false);
|
||||
}
|
||||
|
||||
@ -5555,7 +5555,7 @@ static bool ocl_warpTransform(InputArray _src, OutputArray _dst, InputArray _M0,
|
||||
k.args(ocl::KernelArg::ReadOnly(src), ocl::KernelArg::WriteOnly(dst), ocl::KernelArg::PtrReadOnly(M0),
|
||||
ocl::KernelArg(0, 0, 0, 0, borderBuf, CV_ELEM_SIZE(sctype)));
|
||||
|
||||
size_t globalThreads[2] = { dst.cols, (dst.rows + rowsPerWI - 1) / rowsPerWI };
|
||||
size_t globalThreads[2] = { (size_t)dst.cols, ((size_t)dst.rows + rowsPerWI - 1) / rowsPerWI };
|
||||
return k.run(2, globalThreads, NULL, false);
|
||||
}
|
||||
|
||||
|
||||
@ -499,7 +499,7 @@ static bool ocl_moments( InputArray _src, Moments& m, bool binary)
|
||||
int ntiles = xtiles*ytiles;
|
||||
UMat umbuf(1, ntiles*K, CV_32S);
|
||||
|
||||
size_t globalsize[] = {xtiles, sz.height}, localsize[] = {1, TILE_SIZE};
|
||||
size_t globalsize[] = {(size_t)xtiles, (size_t)sz.height}, localsize[] = {1, TILE_SIZE};
|
||||
bool ok = k.args(ocl::KernelArg::ReadOnly(src),
|
||||
ocl::KernelArg::PtrWriteOnly(umbuf),
|
||||
xtiles).run(2, globalsize, localsize, true);
|
||||
|
||||
@ -1411,7 +1411,7 @@ static bool ocl_morphSmall( InputArray _src, OutputArray _dst, InputArray _kerne
|
||||
|
||||
const char * const borderMap[] = { "BORDER_CONSTANT", "BORDER_REPLICATE",
|
||||
"BORDER_REFLECT", 0, "BORDER_REFLECT_101" };
|
||||
size_t globalsize[2] = { size.width, size.height };
|
||||
size_t globalsize[2] = { (size_t)size.width, (size_t)size.height };
|
||||
|
||||
UMat src = _src.getUMat();
|
||||
if (!isolated)
|
||||
@ -1592,7 +1592,7 @@ static bool ocl_morphOp(InputArray _src, OutputArray _dst, InputArray _kernel,
|
||||
#else
|
||||
size_t localThreads[2] = { 16, 16 };
|
||||
#endif
|
||||
size_t globalThreads[2] = { ssize.width, ssize.height };
|
||||
size_t globalThreads[2] = { (size_t)ssize.width, (size_t)ssize.height };
|
||||
|
||||
#ifdef __APPLE__
|
||||
if( actual_op != MORPH_ERODE && actual_op != MORPH_DILATE )
|
||||
|
||||
@ -1107,8 +1107,8 @@ static bool ocl_pyrDown( InputArray _src, OutputArray _dst, const Size& _dsz, in
|
||||
|
||||
k.args(ocl::KernelArg::ReadOnly(src), ocl::KernelArg::WriteOnly(dst));
|
||||
|
||||
size_t localThreads[2] = { local_size/kercn, 1 };
|
||||
size_t globalThreads[2] = { (src.cols + (kercn-1))/kercn, (dst.rows + 1) / 2 };
|
||||
size_t localThreads[2] = { (size_t)local_size/kercn, 1 };
|
||||
size_t globalThreads[2] = { ((size_t)src.cols + (kercn-1))/kercn, ((size_t)dst.rows + 1) / 2 };
|
||||
return k.run(2, globalThreads, localThreads, false);
|
||||
}
|
||||
|
||||
@ -1144,8 +1144,8 @@ static bool ocl_pyrUp( InputArray _src, OutputArray _dst, const Size& _dsz, int
|
||||
doubleSupport ? " -D DOUBLE_SUPPORT" : "",
|
||||
ocl::typeToStr(depth), channels, local_size
|
||||
);
|
||||
size_t globalThreads[2] = { dst.cols, dst.rows };
|
||||
size_t localThreads[2] = { local_size, local_size };
|
||||
size_t globalThreads[2] = { (size_t)dst.cols, (size_t)dst.rows };
|
||||
size_t localThreads[2] = { (size_t)local_size, (size_t)local_size };
|
||||
ocl::Kernel k;
|
||||
if (ocl::Device::getDefault().isIntel() && channels == 1)
|
||||
{
|
||||
|
||||
@ -1057,7 +1057,7 @@ static bool ocl_boxFilter( InputArray _src, OutputArray _dst, int ddepth,
|
||||
wtype = CV_MAKE_TYPE(wdepth, cn), dtype = CV_MAKE_TYPE(ddepth, cn);
|
||||
|
||||
const char * const borderMap[] = { "BORDER_CONSTANT", "BORDER_REPLICATE", "BORDER_REFLECT", 0, "BORDER_REFLECT_101" };
|
||||
size_t globalsize[2] = { size.width, size.height };
|
||||
size_t globalsize[2] = { (size_t)size.width, (size_t)size.height };
|
||||
size_t localsize_general[2] = { 0, 1 }, * localsize = NULL;
|
||||
|
||||
UMat src = _src.getUMat();
|
||||
@ -3128,7 +3128,7 @@ static bool ocl_bilateralFilter_8u(InputArray _src, OutputArray _dst, int d,
|
||||
ocl::KernelArg::PtrReadOnly(uspace_weight),
|
||||
ocl::KernelArg::PtrReadOnly(uspace_ofs));
|
||||
|
||||
size_t globalsize[2] = { dst.cols / sizeDiv, dst.rows };
|
||||
size_t globalsize[2] = { (size_t)dst.cols / sizeDiv, (size_t)dst.rows };
|
||||
return k.run(2, globalsize, NULL, false);
|
||||
}
|
||||
|
||||
|
||||
@ -72,7 +72,7 @@ static bool extractFirstChannel_32F(InputArray _image, OutputArray _result, int
|
||||
UMat result = _result.getUMat();
|
||||
|
||||
|
||||
size_t globalsize[2] = {result.cols, (result.rows+pxPerWIy-1)/pxPerWIy};
|
||||
size_t globalsize[2] = {(size_t)result.cols, ((size_t)result.rows+pxPerWIy-1)/pxPerWIy};
|
||||
return k.args(ocl::KernelArg::ReadOnlyNoSize(image), ocl::KernelArg::WriteOnly(result)).run( 2, globalsize, NULL, false);
|
||||
}
|
||||
|
||||
@ -286,7 +286,7 @@ static bool matchTemplateNaive_CCORR(InputArray _image, InputArray _templ, Outpu
|
||||
k.args(ocl::KernelArg::ReadOnlyNoSize(image), ocl::KernelArg::ReadOnly(templ),
|
||||
ocl::KernelArg::WriteOnly(result));
|
||||
|
||||
size_t globalsize[2] = { (result.cols+pxPerWIx-1)/pxPerWIx, result.rows};
|
||||
size_t globalsize[2] = { ((size_t)result.cols+pxPerWIx-1)/pxPerWIx, (size_t)result.rows};
|
||||
return k.run(2, globalsize, NULL, false);
|
||||
}
|
||||
|
||||
@ -338,7 +338,7 @@ static bool matchTemplate_CCORR_NORMED(InputArray _image, InputArray _templ, Out
|
||||
k.args(ocl::KernelArg::ReadOnlyNoSize(image_sqsums), ocl::KernelArg::ReadWrite(result),
|
||||
templ.rows, templ.cols, ocl::KernelArg::PtrReadOnly(templ_sqsum));
|
||||
|
||||
size_t globalsize[2] = { result.cols, result.rows };
|
||||
size_t globalsize[2] = { (size_t)result.cols, (size_t)result.rows };
|
||||
return k.run(2, globalsize, NULL, false);
|
||||
}
|
||||
|
||||
@ -363,7 +363,7 @@ static bool matchTemplateNaive_SQDIFF(InputArray _image, InputArray _templ, Outp
|
||||
k.args(ocl::KernelArg::ReadOnlyNoSize(image), ocl::KernelArg::ReadOnly(templ),
|
||||
ocl::KernelArg::WriteOnly(result));
|
||||
|
||||
size_t globalsize[2] = { result.cols, result.rows };
|
||||
size_t globalsize[2] = { (size_t)result.cols, (size_t)result.rows };
|
||||
return k.run(2, globalsize, NULL, false);
|
||||
}
|
||||
|
||||
@ -396,7 +396,7 @@ static bool matchTemplate_SQDIFF(InputArray _image, InputArray _templ, OutputArr
|
||||
k.args(ocl::KernelArg::ReadOnlyNoSize(image_sqsums), ocl::KernelArg::ReadWrite(result),
|
||||
templ.rows, templ.cols, ocl::KernelArg::PtrReadOnly(templ_sqsum));
|
||||
|
||||
size_t globalsize[2] = { result.cols, result.rows };
|
||||
size_t globalsize[2] = { (size_t)result.cols, (size_t)result.rows };
|
||||
|
||||
return k.run(2, globalsize, NULL, false);
|
||||
}
|
||||
@ -427,7 +427,7 @@ static bool matchTemplate_SQDIFF_NORMED(InputArray _image, InputArray _templ, Ou
|
||||
k.args(ocl::KernelArg::ReadOnlyNoSize(image_sqsums), ocl::KernelArg::ReadWrite(result),
|
||||
templ.rows, templ.cols, ocl::KernelArg::PtrReadOnly(templ_sqsum));
|
||||
|
||||
size_t globalsize[2] = { result.cols, result.rows };
|
||||
size_t globalsize[2] = { (size_t)result.cols, (size_t)result.rows };
|
||||
|
||||
return k.run(2, globalsize, NULL, false);
|
||||
}
|
||||
@ -465,7 +465,7 @@ static bool matchTemplate_CCOEFF(InputArray _image, InputArray _templ, OutputArr
|
||||
|
||||
k.args(ocl::KernelArg::ReadOnlyNoSize(image_sums), ocl::KernelArg::ReadWrite(result), templ.rows, templ.cols, templ_sum); }
|
||||
|
||||
size_t globalsize[2] = { result.cols, result.rows };
|
||||
size_t globalsize[2] = { (size_t)result.cols, (size_t)result.rows };
|
||||
return k.run(2, globalsize, NULL, false);
|
||||
}
|
||||
|
||||
@ -533,7 +533,7 @@ static bool matchTemplate_CCOEFF_NORMED(InputArray _image, InputArray _templ, Ou
|
||||
ocl::KernelArg::ReadWrite(result), templ.rows, templ.cols, scale,
|
||||
templ_sum, templ_sqsum_sum); }
|
||||
|
||||
size_t globalsize[2] = { result.cols, result.rows };
|
||||
size_t globalsize[2] = { (size_t)result.cols, (size_t)result.rows };
|
||||
return k.run(2, globalsize, NULL, false);
|
||||
}
|
||||
|
||||
|
||||
@ -1180,7 +1180,7 @@ static bool ocl_threshold( InputArray _src, OutputArray _dst, double & thresh, d
|
||||
ocl::KernelArg::Constant(Mat(1, 1, depth, Scalar::all(maxval))),
|
||||
ocl::KernelArg::Constant(Mat(1, 1, depth, Scalar::all(min_val))));
|
||||
|
||||
size_t globalsize[2] = { dst.cols * cn / kercn, dst.rows };
|
||||
size_t globalsize[2] = { (size_t)dst.cols * cn / kercn, (size_t)dst.rows };
|
||||
globalsize[1] = (globalsize[1] + stride_size - 1) / stride_size;
|
||||
return k.run(2, globalsize, NULL, false);
|
||||
}
|
||||
|
||||
@ -1161,7 +1161,7 @@ class JavaWrapperGenerator(object):
|
||||
("jdoubleArray _da_retval_ = env->NewDoubleArray(%(cnt)i); " +
|
||||
"jdouble _tmp_retval_[%(cnt)i] = {%(args)s}; " +
|
||||
"env->SetDoubleArrayRegion(_da_retval_, 0, %(cnt)i, _tmp_retval_);") %
|
||||
{ "cnt" : len(fields), "args" : ", ".join(["_retval_" + f[1] for f in fields]) } )
|
||||
{ "cnt" : len(fields), "args" : ", ".join(["(jdouble)_retval_" + f[1] for f in fields]) } )
|
||||
if fi.classname and fi.ctype and not fi.static: # non-static class method except c-tor
|
||||
# adding 'self'
|
||||
jn_args.append ( ArgInfo([ "__int64", "nativeObj", "", [], "" ]) )
|
||||
@ -1208,7 +1208,7 @@ class JavaWrapperGenerator(object):
|
||||
j_prologue.append( "double[] %s_out = new double[%i];" % (a.name, len(fields)) )
|
||||
c_epilogue.append( \
|
||||
"jdouble tmp_%(n)s[%(cnt)i] = {%(args)s}; env->SetDoubleArrayRegion(%(n)s_out, 0, %(cnt)i, tmp_%(n)s);" %
|
||||
{ "n" : a.name, "cnt" : len(fields), "args" : ", ".join([a.name + f[1] for f in fields]) } )
|
||||
{ "n" : a.name, "cnt" : len(fields), "args" : ", ".join(["(jdouble)" + a.name + f[1] for f in fields]) } )
|
||||
if a.ctype in ('bool', 'int', 'long', 'float', 'double'):
|
||||
j_epilogue.append('if(%(n)s!=null) %(n)s[0] = (%(t)s)%(n)s_out[0];' % {'n':a.name,'t':a.ctype})
|
||||
else:
|
||||
|
||||
@ -1070,7 +1070,7 @@ JNIEXPORT void JNICALL Java_org_opencv_core_Mat_locateROI_10
|
||||
Size wholeSize;
|
||||
Point ofs;
|
||||
me->locateROI( wholeSize, ofs );
|
||||
jdouble tmp_wholeSize[2] = {wholeSize.width, wholeSize.height}; env->SetDoubleArrayRegion(wholeSize_out, 0, 2, tmp_wholeSize); jdouble tmp_ofs[2] = {ofs.x, ofs.y}; env->SetDoubleArrayRegion(ofs_out, 0, 2, tmp_ofs);
|
||||
jdouble tmp_wholeSize[2] = {(jdouble)wholeSize.width, (jdouble)wholeSize.height}; env->SetDoubleArrayRegion(wholeSize_out, 0, 2, tmp_wholeSize); jdouble tmp_ofs[2] = {(jdouble)ofs.x, (jdouble)ofs.y}; env->SetDoubleArrayRegion(ofs_out, 0, 2, tmp_ofs);
|
||||
} catch(const std::exception &e) {
|
||||
throwJavaException(env, &e, method_name);
|
||||
} catch (...) {
|
||||
@ -1489,7 +1489,7 @@ JNIEXPORT jdoubleArray JNICALL Java_org_opencv_core_Mat_n_1size
|
||||
Mat* me = (Mat*) self; //TODO: check for NULL
|
||||
Size _retval_ = me->size( );
|
||||
jdoubleArray _da_retval_ = env->NewDoubleArray(2);
|
||||
jdouble _tmp_retval_[2] = {_retval_.width, _retval_.height};
|
||||
jdouble _tmp_retval_[2] = {(jdouble)_retval_.width, (jdouble)_retval_.height};
|
||||
env->SetDoubleArrayRegion(_da_retval_, 0, 2, _tmp_retval_);
|
||||
return _da_retval_;
|
||||
} catch(const std::exception &e) {
|
||||
|
||||
@ -1051,7 +1051,7 @@ bool CascadeClassifierImpl::ocl_detectMultiScaleNoGrouping( const std::vector<fl
|
||||
if( localsz.area() == 0 )
|
||||
return false;
|
||||
Size lbufSize = featureEvaluator->getLocalBufSize();
|
||||
size_t localsize[] = { localsz.width, localsz.height };
|
||||
size_t localsize[] = { (size_t)localsz.width, (size_t)localsz.height };
|
||||
const int grp_per_CU = 12;
|
||||
size_t globalsize[] = { grp_per_CU*ocl::Device::getDefault().maxComputeUnits()*localsize[0], localsize[1] };
|
||||
bool ok = false;
|
||||
|
||||
@ -1092,7 +1092,7 @@ static bool ocl_compute_gradients_8UC1(int height, int width, InputArray _img, f
|
||||
UMat img = _img.getUMat();
|
||||
|
||||
size_t localThreads[3] = { NTHREADS, 1, 1 };
|
||||
size_t globalThreads[3] = { width, height, 1 };
|
||||
size_t globalThreads[3] = { (size_t)width, (size_t)height, 1 };
|
||||
char correctGamma = (correct_gamma) ? 1 : 0;
|
||||
int grad_quadstep = (int)grad.step >> 3;
|
||||
int qangle_elem_size = CV_ELEM_SIZE1(qangle.type());
|
||||
@ -1152,7 +1152,7 @@ static bool ocl_compute_hists(int nbins, int block_stride_x, int block_stride_y,
|
||||
int qangle_step = (int)qangle.step / qangle_elem_size;
|
||||
|
||||
int blocks_in_group = 4;
|
||||
size_t localThreads[3] = { blocks_in_group * 24, 2, 1 };
|
||||
size_t localThreads[3] = { (size_t)blocks_in_group * 24, 2, 1 };
|
||||
size_t globalThreads[3] = {((img_block_width * img_block_height + blocks_in_group - 1)/blocks_in_group) * localThreads[0], 2, 1 };
|
||||
|
||||
int hists_size = (nbins * CELLS_PER_BLOCK_X * CELLS_PER_BLOCK_Y * 12) * sizeof(float);
|
||||
@ -1271,7 +1271,7 @@ static bool ocl_extract_descrs_by_rows(int win_height, int win_width, int block_
|
||||
|
||||
int descriptors_quadstep = (int)descriptors.step >> 2;
|
||||
|
||||
size_t globalThreads[3] = { img_win_width * NTHREADS, img_win_height, 1 };
|
||||
size_t globalThreads[3] = { (size_t)img_win_width * NTHREADS, (size_t)img_win_height, 1 };
|
||||
size_t localThreads[3] = { NTHREADS, 1, 1 };
|
||||
|
||||
int idx = 0;
|
||||
@ -1305,7 +1305,7 @@ static bool ocl_extract_descrs_by_cols(int win_height, int win_width, int block_
|
||||
|
||||
int descriptors_quadstep = (int)descriptors.step >> 2;
|
||||
|
||||
size_t globalThreads[3] = { img_win_width * NTHREADS, img_win_height, 1 };
|
||||
size_t globalThreads[3] = { (size_t)img_win_width * NTHREADS, (size_t)img_win_height, 1 };
|
||||
size_t localThreads[3] = { NTHREADS, 1, 1 };
|
||||
|
||||
int idx = 0;
|
||||
@ -1704,8 +1704,8 @@ static bool ocl_classify_hists(int win_height, int win_width, int block_stride_y
|
||||
int img_block_width = (width - CELLS_PER_BLOCK_X * CELL_WIDTH + block_stride_x) /
|
||||
block_stride_x;
|
||||
|
||||
size_t globalThreads[3] = { img_win_width * nthreads, img_win_height, 1 };
|
||||
size_t localThreads[3] = { nthreads, 1, 1 };
|
||||
size_t globalThreads[3] = { (size_t)img_win_width * nthreads, (size_t)img_win_height, 1 };
|
||||
size_t localThreads[3] = { (size_t)nthreads, 1, 1 };
|
||||
|
||||
idx = k.set(idx, block_hist_size);
|
||||
idx = k.set(idx, img_win_width);
|
||||
|
||||
@ -77,7 +77,7 @@ static bool ocl_calcAlmostDist2Weight(UMat & almostDist2Weight,
|
||||
almostDist2ActualDistMultiplier, fixedPointMult,
|
||||
ocl::KernelArg::Constant(den, (hn == 3 ? 4 : hn)*sizeof(FT)), WEIGHT_THRESHOLD);
|
||||
|
||||
size_t globalsize[1] = { almostMaxDist };
|
||||
size_t globalsize[1] = { (size_t)almostMaxDist };
|
||||
return k.run(1, globalsize, NULL, false);
|
||||
}
|
||||
|
||||
@ -172,7 +172,7 @@ static bool ocl_fastNlMeansDenoising(InputArray _src, OutputArray _dst, const fl
|
||||
ocl::KernelArg::PtrReadOnly(almostDist2Weight),
|
||||
ocl::KernelArg::PtrReadOnly(buffer), almostTemplateWindowSizeSqBinShift);
|
||||
|
||||
size_t globalsize[2] = { nblocksx * ctaSize, nblocksy }, localsize[2] = { ctaSize, 1 };
|
||||
size_t globalsize[2] = { (size_t)nblocksx * ctaSize, (size_t)nblocksy }, localsize[2] = { (size_t)ctaSize, 1 };
|
||||
if (!k.run(2, globalsize, localsize, false)) return false;
|
||||
|
||||
if (cn == 3) {
|
||||
|
||||
@ -1,6 +1,6 @@
|
||||
#if defined(_MSC_VER) && (_MSC_VER >= 1800)
|
||||
// eliminating duplicated round() declaration
|
||||
#define HAVE_ROUND
|
||||
#define HAVE_ROUND 1
|
||||
#endif
|
||||
|
||||
#include <Python.h>
|
||||
|
||||
@ -267,7 +267,7 @@ static bool ocl_MultiBandBlender_feed(InputArray _src, InputArray _weight,
|
||||
ocl::KernelArg::ReadWrite(_dst_weight.getUMat())
|
||||
);
|
||||
|
||||
size_t globalsize[2] = {src.cols, src.rows };
|
||||
size_t globalsize[2] = {(size_t)src.cols, (size_t)src.rows };
|
||||
return k.run(2, globalsize, NULL, false);
|
||||
}
|
||||
#endif
|
||||
@ -469,7 +469,7 @@ static bool ocl_normalizeUsingWeightMap(InputArray _weight, InputOutputArray _ma
|
||||
ocl::KernelArg::ReadOnly(_weight.getUMat())
|
||||
);
|
||||
|
||||
size_t globalsize[2] = {mat.cols, mat.rows };
|
||||
size_t globalsize[2] = {(size_t)mat.cols, (size_t)mat.rows };
|
||||
return k.run(2, globalsize, NULL, false);
|
||||
}
|
||||
#endif
|
||||
|
||||
@ -124,7 +124,7 @@ Rect PlaneWarper::buildMaps(Size src_size, InputArray K, InputArray R, InputArra
|
||||
ocl::KernelArg::PtrReadOnly(uk_rinv), ocl::KernelArg::PtrReadOnly(ut),
|
||||
dst_tl.x, dst_tl.y, 1/projector_.scale, rowsPerWI);
|
||||
|
||||
size_t globalsize[2] = { dsize.width, (dsize.height + rowsPerWI - 1) / rowsPerWI };
|
||||
size_t globalsize[2] = { (size_t)dsize.width, ((size_t)dsize.height + rowsPerWI - 1) / rowsPerWI };
|
||||
if (k.run(2, globalsize, NULL, true))
|
||||
{
|
||||
CV_IMPL_ADD(CV_IMPL_OCL);
|
||||
@ -331,7 +331,7 @@ Rect SphericalWarper::buildMaps(Size src_size, InputArray K, InputArray R, Outpu
|
||||
k.args(ocl::KernelArg::WriteOnlyNoSize(uxmap), ocl::KernelArg::WriteOnly(uymap),
|
||||
ocl::KernelArg::PtrReadOnly(uk_rinv), dst_tl.x, dst_tl.y, 1/projector_.scale, rowsPerWI);
|
||||
|
||||
size_t globalsize[2] = { dsize.width, (dsize.height + rowsPerWI - 1) / rowsPerWI };
|
||||
size_t globalsize[2] = { (size_t)dsize.width, ((size_t)dsize.height + rowsPerWI - 1) / rowsPerWI };
|
||||
if (k.run(2, globalsize, NULL, true))
|
||||
{
|
||||
CV_IMPL_ADD(CV_IMPL_OCL);
|
||||
@ -380,7 +380,7 @@ Rect CylindricalWarper::buildMaps(Size src_size, InputArray K, InputArray R, Out
|
||||
ocl::KernelArg::PtrReadOnly(uk_rinv), dst_tl.x, dst_tl.y, 1/projector_.scale,
|
||||
rowsPerWI);
|
||||
|
||||
size_t globalsize[2] = { dsize.width, (dsize.height + rowsPerWI - 1) / rowsPerWI };
|
||||
size_t globalsize[2] = { (size_t)dsize.width, ((size_t)dsize.height + rowsPerWI - 1) / rowsPerWI };
|
||||
if (k.run(2, globalsize, NULL, true))
|
||||
{
|
||||
CV_IMPL_ADD(CV_IMPL_OCL);
|
||||
|
||||
@ -185,7 +185,7 @@ namespace
|
||||
ocl::KernelArg::WriteOnlyNoSize(forwardMap),
|
||||
ocl::KernelArg::WriteOnly(backwardMap));
|
||||
|
||||
size_t globalsize[2] = { size.width, size.height };
|
||||
size_t globalsize[2] = { (size_t)size.width, (size_t)size.height };
|
||||
return k.run(2, globalsize, NULL, false);
|
||||
}
|
||||
|
||||
@ -258,7 +258,7 @@ namespace
|
||||
k.args(ocl::KernelArg::ReadOnly(src),
|
||||
ocl::KernelArg::ReadWriteNoSize(dst), scale);
|
||||
|
||||
size_t globalsize[2] = { src.cols, src.rows };
|
||||
size_t globalsize[2] = { (size_t)src.cols, (size_t)src.rows };
|
||||
return k.run(2, globalsize, NULL, false);
|
||||
}
|
||||
|
||||
@ -316,7 +316,7 @@ namespace
|
||||
ocl::KernelArg::ReadOnlyNoSize(src2),
|
||||
ocl::KernelArg::WriteOnly(dst, cn));
|
||||
|
||||
size_t globalsize[2] = { src1.cols * cn, src1.rows };
|
||||
size_t globalsize[2] = { (size_t)src1.cols * cn, (size_t)src1.rows };
|
||||
return k.run(2, globalsize, NULL, false);
|
||||
}
|
||||
|
||||
@ -436,7 +436,7 @@ namespace
|
||||
k.args(ocl::KernelArg::ReadOnlyNoSize(src), ocl::KernelArg::WriteOnly(dst),
|
||||
ksize, ocl::KernelArg::PtrReadOnly(ubtvWeights));
|
||||
|
||||
size_t globalsize[2] = { src.cols, src.rows };
|
||||
size_t globalsize[2] = { (size_t)src.cols, (size_t)src.rows };
|
||||
return k.run(2, globalsize, NULL, false);
|
||||
}
|
||||
|
||||
|
||||
@ -205,11 +205,11 @@ namespace
|
||||
|
||||
static const double maxVals[] =
|
||||
{
|
||||
std::numeric_limits<uchar>::max(),
|
||||
std::numeric_limits<schar>::max(),
|
||||
std::numeric_limits<ushort>::max(),
|
||||
std::numeric_limits<short>::max(),
|
||||
std::numeric_limits<int>::max(),
|
||||
(double)std::numeric_limits<uchar>::max(),
|
||||
(double)std::numeric_limits<schar>::max(),
|
||||
(double)std::numeric_limits<ushort>::max(),
|
||||
(double)std::numeric_limits<short>::max(),
|
||||
(double)std::numeric_limits<int>::max(),
|
||||
1.0,
|
||||
1.0,
|
||||
};
|
||||
|
||||
@ -787,7 +787,7 @@ bool BackgroundSubtractorMOG2Impl::ocl_apply(InputArray _image, OutputArray _fgm
|
||||
if (bShadowDetection)
|
||||
kernel_apply.set(idxArg, nShadowDetection);
|
||||
|
||||
size_t globalsize[] = {frame.cols, frame.rows, 1};
|
||||
size_t globalsize[] = {(size_t)frame.cols, (size_t)frame.rows, 1};
|
||||
return kernel_apply.run(2, globalsize, NULL, true);
|
||||
}
|
||||
|
||||
@ -805,7 +805,7 @@ bool BackgroundSubtractorMOG2Impl::ocl_getBackgroundImage(OutputArray _backgroun
|
||||
idxArg = kernel_getBg.set(idxArg, ocl::KernelArg::WriteOnly(dst));
|
||||
kernel_getBg.set(idxArg, backgroundRatio);
|
||||
|
||||
size_t globalsize[2] = {u_bgmodelUsedModes.cols, u_bgmodelUsedModes.rows};
|
||||
size_t globalsize[2] = {(size_t)u_bgmodelUsedModes.cols, (size_t)u_bgmodelUsedModes.rows};
|
||||
|
||||
return kernel_getBg.run(2, globalsize, NULL, false);
|
||||
}
|
||||
|
||||
@ -976,7 +976,7 @@ namespace cv
|
||||
int ptcount, int level)
|
||||
{
|
||||
size_t localThreads[3] = { 8, 8};
|
||||
size_t globalThreads[3] = { 8 * ptcount, 8};
|
||||
size_t globalThreads[3] = { 8 * (size_t)ptcount, 8};
|
||||
char calcErr = (0 == level) ? 1 : 0;
|
||||
|
||||
cv::String build_options;
|
||||
|
||||
@ -845,7 +845,7 @@ private:
|
||||
#else
|
||||
size_t localsize[2] = { 256, 1};
|
||||
#endif
|
||||
size_t globalsize[2] = { src.cols, src.rows};
|
||||
size_t globalsize[2] = { (size_t)src.cols, (size_t)src.rows};
|
||||
int smem_size = (int)((localsize[0] + 2*ksizeHalf) * sizeof(float));
|
||||
ocl::Kernel kernel;
|
||||
if (!kernel.create("gaussianBlur", cv::ocl::video::optical_flow_farneback_oclsrc, ""))
|
||||
@ -872,7 +872,7 @@ private:
|
||||
#else
|
||||
size_t localsize[2] = { 256, 1};
|
||||
#endif
|
||||
size_t globalsize[2] = { src.cols, height};
|
||||
size_t globalsize[2] = { (size_t)src.cols, (size_t)height};
|
||||
int smem_size = (int)((localsize[0] + 2*ksizeHalf) * 5 * sizeof(float));
|
||||
ocl::Kernel kernel;
|
||||
if (!kernel.create("gaussianBlur5", cv::ocl::video::optical_flow_farneback_oclsrc, ""))
|
||||
@ -897,7 +897,7 @@ private:
|
||||
#else
|
||||
size_t localsize[2] = { 256, 1};
|
||||
#endif
|
||||
size_t globalsize[2] = { DIVUP(src.cols, localsize[0] - 2*polyN) * localsize[0], src.rows};
|
||||
size_t globalsize[2] = { DIVUP((size_t)src.cols, localsize[0] - 2*polyN) * localsize[0], (size_t)src.rows};
|
||||
|
||||
#if 0
|
||||
const cv::ocl::Device &device = cv::ocl::Device::getDefault();
|
||||
@ -934,7 +934,7 @@ private:
|
||||
#else
|
||||
size_t localsize[2] = { 256, 1};
|
||||
#endif
|
||||
size_t globalsize[2] = { src.cols, height};
|
||||
size_t globalsize[2] = { (size_t)src.cols, (size_t)height};
|
||||
|
||||
ocl::Kernel kernel;
|
||||
if (!kernel.create("boxFilter5", cv::ocl::video::optical_flow_farneback_oclsrc, ""))
|
||||
@ -961,7 +961,7 @@ private:
|
||||
#else
|
||||
size_t localsize[2] = { 32, 8};
|
||||
#endif
|
||||
size_t globalsize[2] = { flowx.cols, flowx.rows};
|
||||
size_t globalsize[2] = { (size_t)flowx.cols, (size_t)flowx.rows};
|
||||
|
||||
ocl::Kernel kernel;
|
||||
if (!kernel.create("updateFlow", cv::ocl::video::optical_flow_farneback_oclsrc, ""))
|
||||
@ -985,7 +985,7 @@ private:
|
||||
#else
|
||||
size_t localsize[2] = { 32, 8};
|
||||
#endif
|
||||
size_t globalsize[2] = { flowx.cols, flowx.rows};
|
||||
size_t globalsize[2] = { (size_t)flowx.cols, (size_t)flowx.rows};
|
||||
|
||||
ocl::Kernel kernel;
|
||||
if (!kernel.create("updateMatrices", cv::ocl::video::optical_flow_farneback_oclsrc, ""))
|
||||
|
||||
@ -216,7 +216,7 @@ namespace cv_ocl_tvl1flow
|
||||
|
||||
bool cv_ocl_tvl1flow::centeredGradient(const UMat &src, UMat &dx, UMat &dy)
|
||||
{
|
||||
size_t globalsize[2] = { src.cols, src.rows };
|
||||
size_t globalsize[2] = { (size_t)src.cols, (size_t)src.rows };
|
||||
|
||||
ocl::Kernel kernel;
|
||||
if (!kernel.create("centeredGradientKernel", cv::ocl::video::optical_flow_tvl1_oclsrc, ""))
|
||||
@ -237,7 +237,7 @@ bool cv_ocl_tvl1flow::warpBackward(const UMat &I0, const UMat &I1, UMat &I1x, UM
|
||||
UMat &u1, UMat &u2, UMat &I1w, UMat &I1wx, UMat &I1wy,
|
||||
UMat &grad, UMat &rho)
|
||||
{
|
||||
size_t globalsize[2] = { I0.cols, I0.rows };
|
||||
size_t globalsize[2] = { (size_t)I0.cols, (size_t)I0.rows };
|
||||
|
||||
ocl::Kernel kernel;
|
||||
if (!kernel.create("warpBackwardKernel", cv::ocl::video::optical_flow_tvl1_oclsrc, ""))
|
||||
@ -281,7 +281,7 @@ bool cv_ocl_tvl1flow::estimateU(UMat &I1wx, UMat &I1wy, UMat &grad,
|
||||
UMat &p21, UMat &p22, UMat &u1,
|
||||
UMat &u2, UMat &error, float l_t, float theta, char calc_error)
|
||||
{
|
||||
size_t globalsize[2] = { I1wx.cols, I1wx.rows };
|
||||
size_t globalsize[2] = { (size_t)I1wx.cols, (size_t)I1wx.rows };
|
||||
|
||||
ocl::Kernel kernel;
|
||||
if (!kernel.create("estimateUKernel", cv::ocl::video::optical_flow_tvl1_oclsrc, ""))
|
||||
@ -322,7 +322,7 @@ bool cv_ocl_tvl1flow::estimateU(UMat &I1wx, UMat &I1wy, UMat &grad,
|
||||
bool cv_ocl_tvl1flow::estimateDualVariables(UMat &u1, UMat &u2,
|
||||
UMat &p11, UMat &p12, UMat &p21, UMat &p22, float taut)
|
||||
{
|
||||
size_t globalsize[2] = { u1.cols, u1.rows };
|
||||
size_t globalsize[2] = { (size_t)u1.cols, (size_t)u1.rows };
|
||||
|
||||
ocl::Kernel kernel;
|
||||
if (!kernel.create("estimateDualVariablesKernel", cv::ocl::video::optical_flow_tvl1_oclsrc, ""))
|
||||
|
||||
Loading…
Reference in New Issue
Block a user