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511 lines
15 KiB
C++
511 lines
15 KiB
C++
/*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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#include "opencv2/videostab/ring_buffer.hpp"
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// for debug purposes
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#define SAVE_MOTIONS 0
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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(makePtr<LogToStdout>());
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setFrameSource(makePtr<NullFrameSource>());
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setMotionEstimator(makePtr<KeypointBasedMotionEstimator>(makePtr<MotionEstimatorRansacL2>()));
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setDeblurer(makePtr<NullDeblurer>());
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setInpainter(makePtr<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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curPos_ = 0;
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doDeblurring_ = false;
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doInpainting_ = false;
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processingStartTime_ = 0;
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curStabilizedPos_ = 0;
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}
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void StabilizerBase::reset()
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{
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frameSize_ = Size(0, 0);
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frameMask_ = Mat();
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curPos_ = -1;
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curStabilizedPos_ = -1;
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doDeblurring_ = false;
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preProcessedFrame_ = Mat();
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doInpainting_ = false;
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inpaintingMask_ = Mat();
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frames_.clear();
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motions_.clear();
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blurrinessRates_.clear();
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stabilizedFrames_.clear();
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stabilizedMasks_.clear();
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stabilizationMotions_.clear();
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processingStartTime_ = 0;
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}
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Mat StabilizerBase::nextStabilizedFrame()
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{
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// check if we've processed all frames already
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if (curStabilizedPos_ == curPos_ && curStabilizedPos_ != -1)
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{
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logProcessingTime();
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return Mat();
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}
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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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// check if the frame source is empty
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if (curStabilizedPos_ == -1)
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{
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logProcessingTime();
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return Mat();
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}
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return postProcessFrame(at(curStabilizedPos_, stabilizedFrames_));
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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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at(curPos_ - 1, motions_) = 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_) = Mat::eye(3, 3, CV_32F);
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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::setUp(const Mat &firstFrame)
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{
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InpainterBase *inpaint = inpainter_.get();
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doInpainting_ = dynamic_cast<NullInpainter*>(inpaint) == 0;
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if (doInpainting_)
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{
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inpainter_->setMotionModel(motionEstimator_->motionModel());
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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 = deblurer_.get();
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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(2*radius_ + 1);
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float blurriness = calcBlurriness(firstFrame);
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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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processingStartTime_ = clock();
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}
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void StabilizerBase::stabilizeFrame()
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{
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Mat stabilizationMotion = estimateStabilizationMotion();
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if (doCorrectionForInclusion_)
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stabilizationMotion = ensureInclusionConstraint(stabilizationMotion, frameSize_, trimRatio_);
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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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if (motionEstimator_->motionModel() != MM_HOMOGRAPHY)
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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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else
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warpPerspective(
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preProcessedFrame_, at(curStabilizedPos_, stabilizedFrames_),
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stabilizationMotion, frameSize_, INTER_LINEAR, borderMode_);
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if (doInpainting_)
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{
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if (motionEstimator_->motionModel() != MM_HOMOGRAPHY)
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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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else
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warpPerspective(
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frameMask_, at(curStabilizedPos_, stabilizedMasks_),
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stabilizationMotion, 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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Mat StabilizerBase::postProcessFrame(const Mat &frame)
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{
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// trim frame
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int dx = static_cast<int>(floor(trimRatio_ * frame.cols));
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int dy = static_cast<int>(floor(trimRatio_ * frame.rows));
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return frame(Rect(dx, dy, frame.cols - 2*dx, frame.rows - 2*dy));
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}
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void StabilizerBase::logProcessingTime()
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{
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clock_t elapsedTime = clock() - processingStartTime_;
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log_->print("\nprocessing time: %.3f sec\n", static_cast<double>(elapsedTime) / CLOCKS_PER_SEC);
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}
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OnePassStabilizer::OnePassStabilizer()
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{
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setMotionFilter(makePtr<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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StabilizerBase::reset();
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}
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void OnePassStabilizer::setUp(const 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(firstFrame);
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}
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Mat OnePassStabilizer::estimateMotion()
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{
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return motionEstimator_->estimate(at(curPos_ - 1, frames_), at(curPos_, frames_));
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}
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Mat OnePassStabilizer::estimateStabilizationMotion()
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{
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return motionFilter_->stabilize(curStabilizedPos_, motions_, std::make_pair(0, curPos_));
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}
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Mat OnePassStabilizer::postProcessFrame(const Mat &frame)
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{
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return StabilizerBase::postProcessFrame(frame);
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}
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TwoPassStabilizer::TwoPassStabilizer()
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{
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setMotionStabilizer(makePtr<GaussianMotionFilter>());
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setWobbleSuppressor(makePtr<NullWobbleSuppressor>());
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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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StabilizerBase::reset();
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frameCount_ = 0;
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isPrePassDone_ = false;
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doWobbleSuppression_ = false;
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motions2_.clear();
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suppressedFrame_ = Mat();
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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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#if SAVE_MOTIONS
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static void saveMotions(
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int frameCount, const std::vector<Mat> &motions, const std::vector<Mat> &stabilizationMotions)
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{
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std::ofstream fm("log_motions.csv");
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for (int i = 0; i < frameCount - 1; ++i)
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{
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Mat_<float> M = at(i, motions);
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fm << M(0,0) << " " << M(0,1) << " " << M(0,2) << " "
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<< M(1,0) << " " << M(1,1) << " " << M(1,2) << " "
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<< M(2,0) << " " << M(2,1) << " " << M(2,2) << std::endl;
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}
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std::ofstream fo("log_orig.csv");
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for (int i = 0; i < frameCount; ++i)
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{
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Mat_<float> M = getMotion(0, i, motions);
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fo << M(0,0) << " " << M(0,1) << " " << M(0,2) << " "
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<< M(1,0) << " " << M(1,1) << " " << M(1,2) << " "
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<< M(2,0) << " " << M(2,1) << " " << M(2,2) << std::endl;
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}
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std::ofstream fs("log_stab.csv");
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for (int i = 0; i < frameCount; ++i)
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{
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Mat_<float> M = stabilizationMotions[i] * getMotion(0, i, motions);
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fs << M(0,0) << " " << M(0,1) << " " << M(0,2) << " "
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<< M(1,0) << " " << M(1,1) << " " << M(1,2) << " "
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<< M(2,0) << " " << M(2,1) << " " << M(2,2) << std::endl;
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}
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}
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#endif
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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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// check if we must do wobble suppression
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WobbleSuppressorBase *wobble = wobbleSuppressor_.get();
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doWobbleSuppression_ = dynamic_cast<NullWobbleSuppressor*>(wobble) == 0;
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// estimate motions
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clock_t startTime = clock();
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log_->print("first pass: estimating motions");
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Mat prevFrame, frame;
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bool ok = true, ok2 = true;
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while (!(frame = frameSource_->nextFrame()).empty())
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{
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if (frameCount_ > 0)
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{
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motions_.push_back(motionEstimator_->estimate(prevFrame, frame, &ok));
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if (doWobbleSuppression_)
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{
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Mat M = wobbleSuppressor_->motionEstimator()->estimate(prevFrame, frame, &ok2);
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if (ok2)
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motions2_.push_back(M);
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else
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motions2_.push_back(motions_.back());
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}
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if (ok)
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{
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if (ok2) log_->print(".");
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else log_->print("?");
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}
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else log_->print("x");
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}
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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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}
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clock_t elapsedTime = clock() - startTime;
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log_->print("\nmotion estimation time: %.3f sec\n",
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static_cast<double>(elapsedTime) / CLOCKS_PER_SEC);
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// add aux. motions
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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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// stabilize
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startTime = clock();
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stabilizationMotions_.resize(frameCount_);
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motionStabilizer_->stabilize(
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frameCount_, motions_, std::make_pair(0, frameCount_ - 1), &stabilizationMotions_[0]);
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elapsedTime = clock() - startTime;
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log_->print("motion stabilization time: %.3f sec\n",
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static_cast<double>(elapsedTime) / CLOCKS_PER_SEC);
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// estimate optimal trim ratio if necessary
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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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#if SAVE_MOTIONS
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saveMotions(frameCount_, motions_, stabilizationMotions_);
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#endif
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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(const 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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WobbleSuppressorBase *wobble = wobbleSuppressor_.get();
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doWobbleSuppression_ = dynamic_cast<NullWobbleSuppressor*>(wobble) == 0;
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if (doWobbleSuppression_)
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{
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wobbleSuppressor_->setFrameCount(frameCount_);
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wobbleSuppressor_->setMotions(motions_);
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wobbleSuppressor_->setMotions2(motions2_);
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wobbleSuppressor_->setStabilizationMotions(stabilizationMotions_);
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}
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StabilizerBase::setUp(firstFrame);
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}
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Mat TwoPassStabilizer::estimateMotion()
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{
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return motions_[curPos_ - 1].clone();
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}
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Mat TwoPassStabilizer::estimateStabilizationMotion()
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{
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return stabilizationMotions_[curStabilizedPos_].clone();
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}
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Mat TwoPassStabilizer::postProcessFrame(const Mat &frame)
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{
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wobbleSuppressor_->suppress(curStabilizedPos_, frame, suppressedFrame_);
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return StabilizerBase::postProcessFrame(suppressedFrame_);
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}
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} // namespace videostab
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} // namespace cv
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