/*M/////////////////////////////////////////////////////////////////////////////////////// // // IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. // // By downloading, copying, installing or using the software you agree to this license. // If you do not agree to this license, do not download, install, // copy or use the software. // // // License Agreement // For Open Source Computer Vision Library // // Copyright (C) 2000-2008, Intel Corporation, all rights reserved. // Copyright (C) 2009-2011, Willow Garage Inc., all rights reserved. // Third party copyrights are property of their respective owners. // // Redistribution and use in source and binary forms, with or without modification, // are permitted provided that the following conditions are met: // // * Redistribution's of source code must retain the above copyright notice, // this list of conditions and the following disclaimer. // // * Redistribution's in binary form must reproduce the above copyright notice, // this list of conditions and the following disclaimer in the documentation // and/or other materials provided with the distribution. // // * The name of the copyright holders may not be used to endorse or promote products // derived from this software without specific prior written permission. // // This software is provided by the copyright holders and contributors "as is" and // any express or implied warranties, including, but not limited to, the implied // warranties of merchantability and fitness for a particular purpose are disclaimed. // In no event shall the Intel Corporation or contributors be liable for any direct, // indirect, incidental, special, exemplary, or consequential damages // (including, but not limited to, procurement of substitute goods or services; // loss of use, data, or profits; or business interruption) however caused // and on any theory of liability, whether in contract, strict liability, // or tort (including negligence or otherwise) arising in any way out of // the use of this software, even if advised of the possibility of such damage. // //M*/ #include "precomp.hpp" #include "opencv2/videostab/wobble_suppression.hpp" #include "opencv2/videostab/ring_buffer.hpp" #include "opencv2/core/private.cuda.hpp" #ifdef HAVE_OPENCV_CUDAWARPING # include "opencv2/cudawarping.hpp" #endif #if defined(HAVE_OPENCV_CUDAWARPING) #if !defined HAVE_CUDA || defined(CUDA_DISABLER) namespace cv { namespace cuda { static void calcWobbleSuppressionMaps(int, int, int, Size, const Mat&, const Mat&, GpuMat&, GpuMat&) { throw_no_cuda(); } }} #else namespace cv { namespace cuda { namespace device { namespace globmotion { void calcWobbleSuppressionMaps( int left, int idx, int right, int width, int height, const float *ml, const float *mr, PtrStepSzf mapx, PtrStepSzf mapy); }}}} namespace cv { namespace cuda { static void calcWobbleSuppressionMaps( int left, int idx, int right, Size size, const Mat &ml, const Mat &mr, GpuMat &mapx, GpuMat &mapy) { CV_Assert(ml.size() == Size(3, 3) && ml.type() == CV_32F && ml.isContinuous()); CV_Assert(mr.size() == Size(3, 3) && mr.type() == CV_32F && mr.isContinuous()); mapx.create(size, CV_32F); mapy.create(size, CV_32F); cv::cuda::device::globmotion::calcWobbleSuppressionMaps( left, idx, right, size.width, size.height, ml.ptr(), mr.ptr(), mapx, mapy); } }} #endif #endif namespace cv { namespace videostab { WobbleSuppressorBase::WobbleSuppressorBase() : frameCount_(0), motions_(0), motions2_(0), stabilizationMotions_(0) { setMotionEstimator(makePtr(makePtr(MM_HOMOGRAPHY))); } void NullWobbleSuppressor::suppress(int /*idx*/, const Mat &frame, Mat &result) { result = frame; } void MoreAccurateMotionWobbleSuppressor::suppress(int idx, const Mat &frame, Mat &result) { CV_Assert(motions_ && stabilizationMotions_); if (idx % period_ == 0) { result = frame; return; } int k1 = idx / period_ * period_; int k2 = std::min(k1 + period_, frameCount_ - 1); Mat S1 = (*stabilizationMotions_)[idx]; Mat_ ML = S1 * getMotion(k1, idx, *motions2_) * getMotion(k1, idx, *motions_).inv() * S1.inv(); Mat_ MR = S1 * getMotion(idx, k2, *motions2_).inv() * getMotion(idx, k2, *motions_) * S1.inv(); mapx_.create(frame.size()); mapy_.create(frame.size()); float xl, yl, zl, wl; float xr, yr, zr, wr; for (int y = 0; y < frame.rows; ++y) { for (int x = 0; x < frame.cols; ++x) { xl = ML(0,0)*x + ML(0,1)*y + ML(0,2); yl = ML(1,0)*x + ML(1,1)*y + ML(1,2); zl = ML(2,0)*x + ML(2,1)*y + ML(2,2); xl /= zl; yl /= zl; wl = float(idx - k1); xr = MR(0,0)*x + MR(0,1)*y + MR(0,2); yr = MR(1,0)*x + MR(1,1)*y + MR(1,2); zr = MR(2,0)*x + MR(2,1)*y + MR(2,2); xr /= zr; yr /= zr; wr = float(k2 - idx); mapx_(y,x) = (wr * xl + wl * xr) / (wl + wr); mapy_(y,x) = (wr * yl + wl * yr) / (wl + wr); } } if (result.data == frame.data) result = Mat(frame.size(), frame.type()); remap(frame, result, mapx_, mapy_, INTER_LINEAR, BORDER_REPLICATE); } #if defined(HAVE_OPENCV_CUDAWARPING) void MoreAccurateMotionWobbleSuppressorGpu::suppress(int idx, const cuda::GpuMat &frame, cuda::GpuMat &result) { CV_Assert(motions_ && stabilizationMotions_); if (idx % period_ == 0) { result = frame; return; } int k1 = idx / period_ * period_; int k2 = std::min(k1 + period_, frameCount_ - 1); Mat S1 = (*stabilizationMotions_)[idx]; Mat ML = S1 * getMotion(k1, idx, *motions2_) * getMotion(k1, idx, *motions_).inv() * S1.inv(); Mat MR = S1 * getMotion(idx, k2, *motions2_).inv() * getMotion(idx, k2, *motions_) * S1.inv(); cuda::calcWobbleSuppressionMaps(k1, idx, k2, frame.size(), ML, MR, mapx_, mapy_); if (result.data == frame.data) result = cuda::GpuMat(frame.size(), frame.type()); cuda::remap(frame, result, mapx_, mapy_, INTER_LINEAR, BORDER_REPLICATE); } void MoreAccurateMotionWobbleSuppressorGpu::suppress(int idx, const Mat &frame, Mat &result) { frameDevice_.upload(frame); suppress(idx, frameDevice_, resultDevice_); resultDevice_.download(result); } #endif } // namespace videostab } // namespace cv