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/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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// By downloading, copying, installing or using the software you agree to this license.
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// If you do not agree to this license, do not download, install,
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// copy or use the software.
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//
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//
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// License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
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// Copyright (C) 2009-2011, Willow Garage Inc., all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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//
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// * Redistribution's of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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//
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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//
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// * The name of the copyright holders may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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//
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// This software is provided by the copyright holders and contributors "as is" and
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// any express or implied warranties, including, but not limited to, the implied
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// In no event shall the Intel Corporation or contributors be liable for any direct,
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// indirect, incidental, special, exemplary, or consequential damages
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// (including, but not limited to, procurement of substitute goods or services;
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// loss of use, data, or profits; or business interruption) however caused
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// and on any theory of liability, whether in contract, strict liability,
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// or tort (including negligence or otherwise) arising in any way out of
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// the use of this software, even if advised of the possibility of such damage.
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//
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//M*/
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#include "precomp.hpp"
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#include <queue>
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#include "opencv2/videostab/inpainting.hpp"
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#include "opencv2/videostab/global_motion.hpp"
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#include "opencv2/videostab/fast_marching.hpp"
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#include "opencv2/videostab/ring_buffer.hpp"
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#include "opencv2/opencv_modules.hpp"
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namespace cv
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{
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namespace videostab
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{
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void InpaintingPipeline::setRadius(int val)
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{
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for (size_t i = 0; i < inpainters_.size(); ++i)
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inpainters_[i]->setRadius(val);
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InpainterBase::setRadius(val);
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}
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void InpaintingPipeline::setFrames(const std::vector<Mat> &val)
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{
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for (size_t i = 0; i < inpainters_.size(); ++i)
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inpainters_[i]->setFrames(val);
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InpainterBase::setFrames(val);
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}
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void InpaintingPipeline::setMotionModel(MotionModel val)
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{
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for (size_t i = 0; i < inpainters_.size(); ++i)
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inpainters_[i]->setMotionModel(val);
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InpainterBase::setMotionModel(val);
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}
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void InpaintingPipeline::setMotions(const std::vector<Mat> &val)
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{
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for (size_t i = 0; i < inpainters_.size(); ++i)
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inpainters_[i]->setMotions(val);
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InpainterBase::setMotions(val);
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}
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void InpaintingPipeline::setStabilizedFrames(const std::vector<Mat> &val)
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{
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for (size_t i = 0; i < inpainters_.size(); ++i)
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inpainters_[i]->setStabilizedFrames(val);
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InpainterBase::setStabilizedFrames(val);
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}
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void InpaintingPipeline::setStabilizationMotions(const std::vector<Mat> &val)
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{
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for (size_t i = 0; i < inpainters_.size(); ++i)
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inpainters_[i]->setStabilizationMotions(val);
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InpainterBase::setStabilizationMotions(val);
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}
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void InpaintingPipeline::inpaint(int idx, Mat &frame, Mat &mask)
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{
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CV_INSTRUMENT_REGION();
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for (size_t i = 0; i < inpainters_.size(); ++i)
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inpainters_[i]->inpaint(idx, frame, mask);
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}
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struct Pixel3
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{
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float intens;
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Point3_<uchar> color;
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bool operator <(const Pixel3 &other) const { return intens < other.intens; }
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};
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ConsistentMosaicInpainter::ConsistentMosaicInpainter()
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{
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setStdevThresh(20.f);
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}
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void ConsistentMosaicInpainter::inpaint(int idx, Mat &frame, Mat &mask)
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{
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CV_INSTRUMENT_REGION();
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CV_Assert(frame.type() == CV_8UC3);
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CV_Assert(mask.size() == frame.size() && mask.type() == CV_8U);
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Mat invS = at(idx, *stabilizationMotions_).inv();
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std::vector<Mat_<float> > vmotions(2*radius_ + 1);
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for (int i = -radius_; i <= radius_; ++i)
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vmotions[radius_ + i] = getMotion(idx, idx + i, *motions_) * invS;
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int n;
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float mean, var;
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std::vector<Pixel3> pixels(2*radius_ + 1);
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Mat_<Point3_<uchar> > frame_(frame);
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Mat_<uchar> mask_(mask);
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for (int y = 0; y < mask.rows; ++y)
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{
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for (int x = 0; x < mask.cols; ++x)
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{
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if (!mask_(y, x))
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{
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n = 0;
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mean = 0;
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var = 0;
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for (int i = -radius_; i <= radius_; ++i)
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{
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const Mat_<Point3_<uchar> > &framei = at(idx + i, *frames_);
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const Mat_<float> &Mi = vmotions[radius_ + i];
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int xi = cvRound(Mi(0,0)*x + Mi(0,1)*y + Mi(0,2));
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int yi = cvRound(Mi(1,0)*x + Mi(1,1)*y + Mi(1,2));
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if (xi >= 0 && xi < framei.cols && yi >= 0 && yi < framei.rows)
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{
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pixels[n].color = framei(yi, xi);
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mean += pixels[n].intens = intensity(pixels[n].color);
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n++;
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}
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}
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if (n > 0)
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{
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mean /= n;
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for (int i = 0; i < n; ++i)
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var += sqr(pixels[i].intens - mean);
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var /= std::max(n - 1, 1);
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if (var < stdevThresh_ * stdevThresh_)
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{
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std::sort(pixels.begin(), pixels.begin() + n);
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int nh = (n-1)/2;
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int c1 = pixels[nh].color.x;
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int c2 = pixels[nh].color.y;
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int c3 = pixels[nh].color.z;
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if (n-2*nh)
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{
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c1 = (c1 + pixels[nh].color.x) / 2;
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c2 = (c2 + pixels[nh].color.y) / 2;
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c3 = (c3 + pixels[nh].color.z) / 2;
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}
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frame_(y, x) = Point3_<uchar>(
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static_cast<uchar>(c1),
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static_cast<uchar>(c2),
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static_cast<uchar>(c3));
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mask_(y, x) = 255;
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}
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}
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}
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}
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}
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}
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static float alignementError(
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const Mat &M, const Mat &frame0, const Mat &mask0, const Mat &frame1)
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{
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CV_Assert(frame0.type() == CV_8UC3 && frame1.type() == CV_8UC3);
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CV_Assert(mask0.type() == CV_8U && mask0.size() == frame0.size());
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CV_Assert(frame0.size() == frame1.size());
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CV_Assert(M.size() == Size(3,3) && M.type() == CV_32F);
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Mat_<uchar> mask0_(mask0);
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Mat_<float> M_(M);
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float err = 0;
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for (int y0 = 0; y0 < frame0.rows; ++y0)
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{
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for (int x0 = 0; x0 < frame0.cols; ++x0)
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{
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if (mask0_(y0,x0))
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{
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int x1 = cvRound(M_(0,0)*x0 + M_(0,1)*y0 + M_(0,2));
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int y1 = cvRound(M_(1,0)*x0 + M_(1,1)*y0 + M_(1,2));
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if (y1 >= 0 && y1 < frame1.rows && x1 >= 0 && x1 < frame1.cols)
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err += std::abs(intensity(frame1.at<Point3_<uchar> >(y1,x1)) -
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intensity(frame0.at<Point3_<uchar> >(y0,x0)));
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}
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}
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}
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return err;
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}
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class MotionInpaintBody
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{
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public:
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void operator ()(int x, int y)
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{
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float uEst = 0.f, vEst = 0.f, wSum = 0.f;
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for (int dy = -rad; dy <= rad; ++dy)
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{
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for (int dx = -rad; dx <= rad; ++dx)
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{
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int qx0 = x + dx;
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int qy0 = y + dy;
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if (qy0 >= 0 && qy0 < mask0.rows && qx0 >= 0 && qx0 < mask0.cols && mask0(qy0,qx0))
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{
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int qx1 = cvRound(qx0 + flowX(qy0,qx0));
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int qy1 = cvRound(qy0 + flowY(qy0,qx0));
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int px1 = qx1 - dx;
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int py1 = qy1 - dy;
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if (qx1 >= 0 && qx1 < mask1.cols && qy1 >= 0 && qy1 < mask1.rows && mask1(qy1,qx1) &&
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px1 >= 0 && px1 < mask1.cols && py1 >= 0 && py1 < mask1.rows && mask1(py1,px1))
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{
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float dudx = 0.f, dvdx = 0.f, dudy = 0.f, dvdy = 0.f;
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if (qx0 > 0 && mask0(qy0,qx0-1))
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{
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if (qx0+1 < mask0.cols && mask0(qy0,qx0+1))
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{
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dudx = (flowX(qy0,qx0+1) - flowX(qy0,qx0-1)) * 0.5f;
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dvdx = (flowY(qy0,qx0+1) - flowY(qy0,qx0-1)) * 0.5f;
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}
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else
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{
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dudx = flowX(qy0,qx0) - flowX(qy0,qx0-1);
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dvdx = flowY(qy0,qx0) - flowY(qy0,qx0-1);
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}
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}
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else if (qx0+1 < mask0.cols && mask0(qy0,qx0+1))
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{
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dudx = flowX(qy0,qx0+1) - flowX(qy0,qx0);
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dvdx = flowY(qy0,qx0+1) - flowY(qy0,qx0);
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}
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if (qy0 > 0 && mask0(qy0-1,qx0))
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{
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if (qy0+1 < mask0.rows && mask0(qy0+1,qx0))
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{
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dudy = (flowX(qy0+1,qx0) - flowX(qy0-1,qx0)) * 0.5f;
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dvdy = (flowY(qy0+1,qx0) - flowY(qy0-1,qx0)) * 0.5f;
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}
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else
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{
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dudy = flowX(qy0,qx0) - flowX(qy0-1,qx0);
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dvdy = flowY(qy0,qx0) - flowY(qy0-1,qx0);
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}
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}
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else if (qy0+1 < mask0.rows && mask0(qy0+1,qx0))
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{
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dudy = flowX(qy0+1,qx0) - flowX(qy0,qx0);
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dvdy = flowY(qy0+1,qx0) - flowY(qy0,qx0);
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}
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Point3_<uchar> cp = frame1(py1,px1), cq = frame1(qy1,qx1);
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float distColor = sqr(static_cast<float>(cp.x-cq.x))
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+ sqr(static_cast<float>(cp.y-cq.y))
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+ sqr(static_cast<float>(cp.z-cq.z));
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float w = 1.f / (std::sqrt(distColor * (dx*dx + dy*dy)) + eps);
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uEst += w * (flowX(qy0,qx0) - dudx*dx - dudy*dy);
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vEst += w * (flowY(qy0,qx0) - dvdx*dx - dvdy*dy);
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wSum += w;
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}
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}
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}
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}
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if (wSum > 0.f)
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{
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flowX(y,x) = uEst / wSum;
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flowY(y,x) = vEst / wSum;
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mask0(y,x) = 255;
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}
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}
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Mat_<Point3_<uchar> > frame1;
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Mat_<uchar> mask0, mask1;
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Mat_<float> flowX, flowY;
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float eps;
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int rad;
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};
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MotionInpainter::MotionInpainter()
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{
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#ifdef HAVE_OPENCV_CUDAOPTFLOW
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setOptFlowEstimator(makePtr<DensePyrLkOptFlowEstimatorGpu>());
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setFlowErrorThreshold(1e-4f);
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setDistThreshold(5.f);
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setBorderMode(BORDER_REPLICATE);
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#else
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CV_Error(Error::StsNotImplemented, "Current implementation of MotionInpainter requires CUDA");
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#endif
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}
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|
void MotionInpainter::inpaint(int idx, Mat &frame, Mat &mask)
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|
{
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|
CV_INSTRUMENT_REGION();
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std::priority_queue<std::pair<float,int> > neighbors;
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std::vector<Mat> vmotions(2*radius_ + 1);
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for (int i = -radius_; i <= radius_; ++i)
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|
{
|
|
|
|
Mat motion0to1 = getMotion(idx, idx + i, *motions_) * at(idx, *stabilizationMotions_).inv();
|
|
|
|
vmotions[radius_ + i] = motion0to1;
|
|
|
|
|
|
|
|
if (i != 0)
|
|
|
|
{
|
|
|
|
float err = alignementError(motion0to1, frame, mask, at(idx + i, *frames_));
|
|
|
|
neighbors.push(std::make_pair(-err, idx + i));
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
if (mask1_.size() != mask.size())
|
|
|
|
{
|
|
|
|
mask1_.create(mask.size());
|
|
|
|
mask1_.setTo(255);
|
|
|
|
}
|
|
|
|
|
|
|
|
cvtColor(frame, grayFrame_, COLOR_BGR2GRAY);
|
|
|
|
|
|
|
|
MotionInpaintBody body;
|
|
|
|
body.rad = 2;
|
|
|
|
body.eps = 1e-4f;
|
|
|
|
|
|
|
|
while (!neighbors.empty())
|
|
|
|
{
|
|
|
|
int neighbor = neighbors.top().second;
|
|
|
|
neighbors.pop();
|
|
|
|
|
|
|
|
Mat motion1to0 = vmotions[radius_ + neighbor - idx].inv();
|
|
|
|
|
|
|
|
// warp frame
|
|
|
|
|
|
|
|
frame1_ = at(neighbor, *frames_);
|
|
|
|
|
|
|
|
if (motionModel_ != MM_HOMOGRAPHY)
|
|
|
|
warpAffine(
|
|
|
|
frame1_, transformedFrame1_, motion1to0(Rect(0,0,3,2)), frame1_.size(),
|
|
|
|
INTER_LINEAR, borderMode_);
|
|
|
|
else
|
|
|
|
warpPerspective(
|
|
|
|
frame1_, transformedFrame1_, motion1to0, frame1_.size(), INTER_LINEAR,
|
|
|
|
borderMode_);
|
|
|
|
|
|
|
|
cvtColor(transformedFrame1_, transformedGrayFrame1_, COLOR_BGR2GRAY);
|
|
|
|
|
|
|
|
// warp mask
|
|
|
|
|
|
|
|
if (motionModel_ != MM_HOMOGRAPHY)
|
|
|
|
warpAffine(
|
|
|
|
mask1_, transformedMask1_, motion1to0(Rect(0,0,3,2)), mask1_.size(),
|
|
|
|
INTER_NEAREST);
|
|
|
|
else
|
|
|
|
warpPerspective(mask1_, transformedMask1_, motion1to0, mask1_.size(), INTER_NEAREST);
|
|
|
|
|
|
|
|
erode(transformedMask1_, transformedMask1_, Mat());
|
|
|
|
|
|
|
|
// update flow
|
|
|
|
|
|
|
|
optFlowEstimator_->run(grayFrame_, transformedGrayFrame1_, flowX_, flowY_, flowErrors_);
|
|
|
|
|
|
|
|
calcFlowMask(
|
|
|
|
flowX_, flowY_, flowErrors_, flowErrorThreshold_, mask, transformedMask1_,
|
|
|
|
flowMask_);
|
|
|
|
|
|
|
|
body.flowX = flowX_;
|
|
|
|
body.flowY = flowY_;
|
|
|
|
body.mask0 = flowMask_;
|
|
|
|
body.mask1 = transformedMask1_;
|
|
|
|
body.frame1 = transformedFrame1_;
|
|
|
|
fmm_.run(flowMask_, body);
|
|
|
|
|
|
|
|
completeFrameAccordingToFlow(
|
|
|
|
flowMask_, flowX_, flowY_, transformedFrame1_, transformedMask1_, distThresh_,
|
|
|
|
frame, mask);
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
|
|
class ColorAverageInpaintBody
|
|
|
|
{
|
|
|
|
public:
|
|
|
|
void operator ()(int x, int y)
|
|
|
|
{
|
|
|
|
float c1 = 0, c2 = 0, c3 = 0;
|
|
|
|
float wSum = 0;
|
|
|
|
|
|
|
|
static const int lut[8][2] = {{-1,-1}, {-1,0}, {-1,1}, {0,-1}, {0,1}, {1,-1}, {1,0}, {1,1}};
|
|
|
|
|
|
|
|
for (int i = 0; i < 8; ++i)
|
|
|
|
{
|
|
|
|
int qx = x + lut[i][0];
|
|
|
|
int qy = y + lut[i][1];
|
|
|
|
if (qy >= 0 && qy < mask.rows && qx >= 0 && qx < mask.cols && mask(qy,qx))
|
|
|
|
{
|
|
|
|
c1 += frame.at<uchar>(qy,3*qx);
|
|
|
|
c2 += frame.at<uchar>(qy,3*qx+1);
|
|
|
|
c3 += frame.at<uchar>(qy,3*qx+2);
|
|
|
|
wSum += 1;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
float wSumInv = (std::fabs(wSum) > 0) ? (1.f / wSum) : 0; // if wSum is 0, c1-c3 will be 0 too
|
|
|
|
frame(y,x) = Point3_<uchar>(
|
|
|
|
static_cast<uchar>(c1*wSumInv),
|
|
|
|
static_cast<uchar>(c2*wSumInv),
|
|
|
|
static_cast<uchar>(c3*wSumInv));
|
|
|
|
mask(y,x) = 255;
|
|
|
|
}
|
|
|
|
|
|
|
|
cv::Mat_<uchar> mask;
|
|
|
|
cv::Mat_<cv::Point3_<uchar> > frame;
|
|
|
|
};
|
|
|
|
|
|
|
|
|
|
|
|
void ColorAverageInpainter::inpaint(int /*idx*/, Mat &frame, Mat &mask)
|
|
|
|
{
|
|
|
|
CV_INSTRUMENT_REGION();
|
|
|
|
|
|
|
|
ColorAverageInpaintBody body;
|
|
|
|
body.mask = mask;
|
|
|
|
body.frame = frame;
|
|
|
|
fmm_.run(mask, body);
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
|
|
void ColorInpainter::inpaint(int /*idx*/, Mat &frame, Mat &mask)
|
|
|
|
{
|
|
|
|
CV_INSTRUMENT_REGION();
|
|
|
|
|
|
|
|
bitwise_not(mask, invMask_);
|
|
|
|
cv::inpaint(frame, invMask_, frame, radius_, method_);
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
|
|
void calcFlowMask(
|
|
|
|
const Mat &flowX, const Mat &flowY, const Mat &errors, float maxError,
|
|
|
|
const Mat &mask0, const Mat &mask1, Mat &flowMask)
|
|
|
|
{
|
|
|
|
CV_INSTRUMENT_REGION();
|
|
|
|
|
|
|
|
CV_Assert(flowX.type() == CV_32F && flowX.size() == mask0.size());
|
|
|
|
CV_Assert(flowY.type() == CV_32F && flowY.size() == mask0.size());
|
|
|
|
CV_Assert(errors.type() == CV_32F && errors.size() == mask0.size());
|
|
|
|
CV_Assert(mask0.type() == CV_8U);
|
|
|
|
CV_Assert(mask1.type() == CV_8U && mask1.size() == mask0.size());
|
|
|
|
|
|
|
|
Mat_<float> flowX_(flowX), flowY_(flowY), errors_(errors);
|
|
|
|
Mat_<uchar> mask0_(mask0), mask1_(mask1);
|
|
|
|
|
|
|
|
flowMask.create(mask0.size(), CV_8U);
|
|
|
|
flowMask.setTo(0);
|
|
|
|
Mat_<uchar> flowMask_(flowMask);
|
|
|
|
|
|
|
|
for (int y0 = 0; y0 < flowMask_.rows; ++y0)
|
|
|
|
{
|
|
|
|
for (int x0 = 0; x0 < flowMask_.cols; ++x0)
|
|
|
|
{
|
|
|
|
if (mask0_(y0,x0) && errors_(y0,x0) < maxError)
|
|
|
|
{
|
|
|
|
int x1 = cvRound(x0 + flowX_(y0,x0));
|
|
|
|
int y1 = cvRound(y0 + flowY_(y0,x0));
|
|
|
|
|
|
|
|
if (x1 >= 0 && x1 < mask1_.cols && y1 >= 0 && y1 < mask1_.rows && mask1_(y1,x1))
|
|
|
|
flowMask_(y0,x0) = 255;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
|
|
void completeFrameAccordingToFlow(
|
|
|
|
const Mat &flowMask, const Mat &flowX, const Mat &flowY, const Mat &frame1, const Mat &mask1,
|
|
|
|
float distThresh, Mat &frame0, Mat &mask0)
|
|
|
|
{
|
|
|
|
CV_INSTRUMENT_REGION();
|
|
|
|
|
|
|
|
CV_Assert(flowMask.type() == CV_8U);
|
|
|
|
CV_Assert(flowX.type() == CV_32F && flowX.size() == flowMask.size());
|
|
|
|
CV_Assert(flowY.type() == CV_32F && flowY.size() == flowMask.size());
|
|
|
|
CV_Assert(frame1.type() == CV_8UC3 && frame1.size() == flowMask.size());
|
|
|
|
CV_Assert(mask1.type() == CV_8U && mask1.size() == flowMask.size());
|
|
|
|
CV_Assert(frame0.type() == CV_8UC3 && frame0.size() == flowMask.size());
|
|
|
|
CV_Assert(mask0.type() == CV_8U && mask0.size() == flowMask.size());
|
|
|
|
|
|
|
|
Mat_<uchar> flowMask_(flowMask), mask1_(mask1), mask0_(mask0);
|
|
|
|
Mat_<float> flowX_(flowX), flowY_(flowY);
|
|
|
|
|
|
|
|
for (int y0 = 0; y0 < frame0.rows; ++y0)
|
|
|
|
{
|
|
|
|
for (int x0 = 0; x0 < frame0.cols; ++x0)
|
|
|
|
{
|
|
|
|
if (!mask0_(y0,x0) && flowMask_(y0,x0))
|
|
|
|
{
|
|
|
|
int x1 = cvRound(x0 + flowX_(y0,x0));
|
|
|
|
int y1 = cvRound(y0 + flowY_(y0,x0));
|
|
|
|
|
|
|
|
if (x1 >= 0 && x1 < frame1.cols && y1 >= 0 && y1 < frame1.rows && mask1_(y1,x1)
|
|
|
|
&& sqr(flowX_(y0,x0)) + sqr(flowY_(y0,x0)) < sqr(distThresh))
|
|
|
|
{
|
|
|
|
frame0.at<Point3_<uchar> >(y0,x0) = frame1.at<Point3_<uchar> >(y1,x1);
|
|
|
|
mask0_(y0,x0) = 255;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
} // namespace videostab
|
|
|
|
} // namespace cv
|