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510 lines
15 KiB
510 lines
15 KiB
/*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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