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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 "opencv2/videostab/stabilizer.hpp"
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using namespace std;
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namespace cv
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{
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namespace videostab
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{
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StabilizerBase::StabilizerBase()
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{
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setLog(new NullLog());
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setFrameSource(new NullFrameSource());
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setMotionEstimator(new PyrLkRobustMotionEstimator());
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setDeblurer(new NullDeblurer());
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setInpainter(new NullInpainter());
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setRadius(15);
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setTrimRatio(0);
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setCorrectionForInclusion(false);
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setBorderMode(BORDER_REPLICATE);
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}
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void StabilizerBase::setUp(int cacheSize, const Mat &frame)
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{
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InpainterBase *inpainter = static_cast<InpainterBase*>(inpainter_);
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doInpainting_ = dynamic_cast<NullInpainter*>(inpainter) == 0;
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if (doInpainting_)
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{
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inpainter_->setFrames(frames_);
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inpainter_->setMotions(motions_);
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inpainter_->setStabilizedFrames(stabilizedFrames_);
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inpainter_->setStabilizationMotions(stabilizationMotions_);
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}
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DeblurerBase *deblurer = static_cast<DeblurerBase*>(deblurer_);
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doDeblurring_ = dynamic_cast<NullDeblurer*>(deblurer) == 0;
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if (doDeblurring_)
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{
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blurrinessRates_.resize(cacheSize);
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float blurriness = calcBlurriness(frame);
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for (int i = -radius_; i <= 0; ++i)
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at(i, blurrinessRates_) = blurriness;
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deblurer_->setFrames(frames_);
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deblurer_->setMotions(motions_);
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deblurer_->setBlurrinessRates(blurrinessRates_);
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}
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log_->print("processing frames");
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}
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Mat StabilizerBase::nextStabilizedFrame()
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{
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if (curStabilizedPos_ == curPos_ && curStabilizedPos_ != -1)
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return Mat(); // we've processed all frames already
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bool processed;
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do processed = doOneIteration();
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while (processed && curStabilizedPos_ == -1);
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if (curStabilizedPos_ == -1)
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return Mat(); // frame source is empty
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const Mat &stabilizedFrame = at(curStabilizedPos_, stabilizedFrames_);
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int dx = static_cast<int>(floor(trimRatio_ * stabilizedFrame.cols));
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int dy = static_cast<int>(floor(trimRatio_ * stabilizedFrame.rows));
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return stabilizedFrame(Rect(dx, dy, stabilizedFrame.cols - 2*dx, stabilizedFrame.rows - 2*dy));
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}
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bool StabilizerBase::doOneIteration()
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{
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Mat frame = frameSource_->nextFrame();
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if (!frame.empty())
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{
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curPos_++;
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if (curPos_ > 0)
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{
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at(curPos_, frames_) = frame;
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if (doDeblurring_)
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at(curPos_, blurrinessRates_) = calcBlurriness(frame);
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estimateMotion();
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if (curPos_ >= radius_)
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{
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curStabilizedPos_ = curPos_ - radius_;
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stabilizeFrame();
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}
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}
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else
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setUp(frame);
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log_->print(".");
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return true;
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}
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if (curStabilizedPos_ < curPos_)
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{
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curStabilizedPos_++;
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at(curStabilizedPos_ + radius_, frames_) = at(curPos_, frames_);
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at(curStabilizedPos_ + radius_ - 1, motions_) = at(curPos_ - 1, motions_);
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stabilizeFrame();
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log_->print(".");
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return true;
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}
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return false;
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}
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void StabilizerBase::stabilizeFrame(const Mat &stabilizationMotion)
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{
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Mat stabilizationMotion_;
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if (doCorrectionForInclusion_)
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stabilizationMotion_ = ensureInclusionConstraint(stabilizationMotion, frameSize_, trimRatio_);
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else
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stabilizationMotion_ = stabilizationMotion.clone();
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at(curStabilizedPos_, stabilizationMotions_) = stabilizationMotion_;
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if (doDeblurring_)
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{
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at(curStabilizedPos_, frames_).copyTo(preProcessedFrame_);
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deblurer_->deblur(curStabilizedPos_, preProcessedFrame_);
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}
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else
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preProcessedFrame_ = at(curStabilizedPos_, frames_);
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// apply stabilization transformation
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warpAffine(
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preProcessedFrame_, at(curStabilizedPos_, stabilizedFrames_),
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stabilizationMotion_(Rect(0,0,3,2)), frameSize_, INTER_LINEAR, borderMode_);
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if (doInpainting_)
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{
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warpAffine(
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frameMask_, at(curStabilizedPos_, stabilizedMasks_),
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stabilizationMotion_(Rect(0,0,3,2)), frameSize_, INTER_NEAREST);
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erode(at(curStabilizedPos_, stabilizedMasks_), at(curStabilizedPos_, stabilizedMasks_),
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Mat());
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at(curStabilizedPos_, stabilizedMasks_).copyTo(inpaintingMask_);
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inpainter_->inpaint(
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curStabilizedPos_, at(curStabilizedPos_, stabilizedFrames_), inpaintingMask_);
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}
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}
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OnePassStabilizer::OnePassStabilizer()
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{
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setMotionFilter(new GaussianMotionFilter());
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reset();
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}
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void OnePassStabilizer::reset()
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{
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curPos_ = -1;
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curStabilizedPos_ = -1;
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frames_.clear();
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motions_.clear();
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stabilizedFrames_.clear();
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stabilizationMotions_.clear();
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doDeblurring_ = false;
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doInpainting_ = false;
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}
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void OnePassStabilizer::setUp(Mat &firstFrame)
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{
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frameSize_ = firstFrame.size();
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frameMask_.create(frameSize_, CV_8U);
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frameMask_.setTo(255);
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int cacheSize = 2*radius_ + 1;
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frames_.resize(cacheSize);
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stabilizedFrames_.resize(cacheSize);
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stabilizedMasks_.resize(cacheSize);
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motions_.resize(cacheSize);
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stabilizationMotions_.resize(cacheSize);
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for (int i = -radius_; i < 0; ++i)
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{
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at(i, motions_) = Mat::eye(3, 3, CV_32F);
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at(i, frames_) = firstFrame;
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}
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at(0, frames_) = firstFrame;
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StabilizerBase::setUp(cacheSize, firstFrame);
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}
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void OnePassStabilizer::estimateMotion()
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{
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at(curPos_ - 1, motions_) = motionEstimator_->estimate(
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at(curPos_ - 1, frames_), at(curPos_, frames_));
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}
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void OnePassStabilizer::stabilizeFrame()
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{
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Mat stabilizationMotion = motionFilter_->stabilize(curStabilizedPos_, &motions_[0], motions_.size());
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StabilizerBase::stabilizeFrame(stabilizationMotion);
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}
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TwoPassStabilizer::TwoPassStabilizer()
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{
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setMotionStabilizer(new GaussianMotionFilter());
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setEstimateTrimRatio(false);
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reset();
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}
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void TwoPassStabilizer::reset()
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{
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isPrePassDone_ = false;
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frameCount_ = 0;
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curPos_ = -1;
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curStabilizedPos_ = -1;
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frames_.clear();
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motions_.clear();
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stabilizedFrames_.clear();
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stabilizationMotions_.clear();
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doDeblurring_ = false;
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doInpainting_ = false;
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}
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Mat TwoPassStabilizer::nextFrame()
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{
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runPrePassIfNecessary();
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return StabilizerBase::nextStabilizedFrame();
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}
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vector<Mat> TwoPassStabilizer::motions() const
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{
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if (frameCount_ == 0)
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return vector<Mat>();
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vector<Mat> res(frameCount_ - 1);
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copy(motions_.begin(), motions_.begin() + frameCount_ - 1, res.begin());
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return res;
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}
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void TwoPassStabilizer::runPrePassIfNecessary()
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{
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if (!isPrePassDone_)
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{
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log_->print("first pass: estimating motions");
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Mat prevFrame, frame;
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while (!(frame = frameSource_->nextFrame()).empty())
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{
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if (frameCount_ > 0)
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motions_.push_back(motionEstimator_->estimate(prevFrame, frame));
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else
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{
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frameSize_ = frame.size();
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frameMask_.create(frameSize_, CV_8U);
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frameMask_.setTo(255);
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}
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prevFrame = frame;
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frameCount_++;
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log_->print(".");
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}
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for (int i = 0; i < radius_; ++i)
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motions_.push_back(Mat::eye(3, 3, CV_32F));
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log_->print("\n");
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stabilizationMotions_.resize(frameCount_);
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motionStabilizer_->stabilize(&motions_[0], frameCount_, &stabilizationMotions_[0]);
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if (mustEstTrimRatio_)
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{
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trimRatio_ = 0;
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for (int i = 0; i < frameCount_; ++i)
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{
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Mat S = stabilizationMotions_[i];
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trimRatio_ = std::max(trimRatio_, estimateOptimalTrimRatio(S, frameSize_));
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}
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log_->print("estimated trim ratio: %f\n", static_cast<double>(trimRatio_));
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}
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isPrePassDone_ = true;
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frameSource_->reset();
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}
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}
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void TwoPassStabilizer::setUp(Mat &firstFrame)
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{
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int cacheSize = 2*radius_ + 1;
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frames_.resize(cacheSize);
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stabilizedFrames_.resize(cacheSize);
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stabilizedMasks_.resize(cacheSize);
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for (int i = -radius_; i <= 0; ++i)
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at(i, frames_) = firstFrame;
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StabilizerBase::setUp(cacheSize, firstFrame);
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}
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void TwoPassStabilizer::stabilizeFrame()
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{
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StabilizerBase::stabilizeFrame(stabilizationMotions_[curStabilizedPos_]);
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}
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} // namespace videostab
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} // namespace cv
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