Open Source Computer Vision Library https://opencv.org/
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#include "precomp.hpp"
#include <queue>
#include "opencv2/videostab/inpainting.hpp"
#include "opencv2/videostab/global_motion.hpp"
#include "opencv2/videostab/fast_marching.hpp"
#include "opencv2/videostab/ring_buffer.hpp"
#include "opencv2/opencv_modules.hpp"
namespace cv
{
namespace videostab
{
void InpaintingPipeline::setRadius(int val)
{
for (size_t i = 0; i < inpainters_.size(); ++i)
inpainters_[i]->setRadius(val);
InpainterBase::setRadius(val);
}
void InpaintingPipeline::setFrames(const std::vector<Mat> &val)
{
for (size_t i = 0; i < inpainters_.size(); ++i)
inpainters_[i]->setFrames(val);
InpainterBase::setFrames(val);
}
void InpaintingPipeline::setMotionModel(MotionModel val)
{
for (size_t i = 0; i < inpainters_.size(); ++i)
inpainters_[i]->setMotionModel(val);
InpainterBase::setMotionModel(val);
}
void InpaintingPipeline::setMotions(const std::vector<Mat> &val)
{
for (size_t i = 0; i < inpainters_.size(); ++i)
inpainters_[i]->setMotions(val);
InpainterBase::setMotions(val);
}
void InpaintingPipeline::setStabilizedFrames(const std::vector<Mat> &val)
{
for (size_t i = 0; i < inpainters_.size(); ++i)
inpainters_[i]->setStabilizedFrames(val);
InpainterBase::setStabilizedFrames(val);
}
void InpaintingPipeline::setStabilizationMotions(const std::vector<Mat> &val)
{
for (size_t i = 0; i < inpainters_.size(); ++i)
inpainters_[i]->setStabilizationMotions(val);
InpainterBase::setStabilizationMotions(val);
}
void InpaintingPipeline::inpaint(int idx, Mat &frame, Mat &mask)
{
CV_INSTRUMENT_REGION();
for (size_t i = 0; i < inpainters_.size(); ++i)
inpainters_[i]->inpaint(idx, frame, mask);
}
struct Pixel3
{
float intens;
Point3_<uchar> color;
bool operator <(const Pixel3 &other) const { return intens < other.intens; }
};
ConsistentMosaicInpainter::ConsistentMosaicInpainter()
{
setStdevThresh(20.f);
}
void ConsistentMosaicInpainter::inpaint(int idx, Mat &frame, Mat &mask)
{
CV_INSTRUMENT_REGION();
CV_Assert(frame.type() == CV_8UC3);
CV_Assert(mask.size() == frame.size() && mask.type() == CV_8U);
Mat invS = at(idx, *stabilizationMotions_).inv();
std::vector<Mat_<float> > vmotions(2*radius_ + 1);
for (int i = -radius_; i <= radius_; ++i)
vmotions[radius_ + i] = getMotion(idx, idx + i, *motions_) * invS;
int n;
float mean, var;
std::vector<Pixel3> pixels(2*radius_ + 1);
Mat_<Point3_<uchar> > frame_(frame);
Mat_<uchar> mask_(mask);
for (int y = 0; y < mask.rows; ++y)
{
for (int x = 0; x < mask.cols; ++x)
{
if (!mask_(y, x))
{
n = 0;
mean = 0;
var = 0;
for (int i = -radius_; i <= radius_; ++i)
{
const Mat_<Point3_<uchar> > &framei = at(idx + i, *frames_);
const Mat_<float> &Mi = vmotions[radius_ + i];
int xi = cvRound(Mi(0,0)*x + Mi(0,1)*y + Mi(0,2));
int yi = cvRound(Mi(1,0)*x + Mi(1,1)*y + Mi(1,2));
if (xi >= 0 && xi < framei.cols && yi >= 0 && yi < framei.rows)
{
pixels[n].color = framei(yi, xi);
mean += pixels[n].intens = intensity(pixels[n].color);
n++;
}
}
if (n > 0)
{
mean /= n;
for (int i = 0; i < n; ++i)
var += sqr(pixels[i].intens - mean);
var /= std::max(n - 1, 1);
if (var < stdevThresh_ * stdevThresh_)
{
std::sort(pixels.begin(), pixels.begin() + n);
int nh = (n-1)/2;
int c1 = pixels[nh].color.x;
int c2 = pixels[nh].color.y;
int c3 = pixels[nh].color.z;
if (n-2*nh)
{
c1 = (c1 + pixels[nh].color.x) / 2;
c2 = (c2 + pixels[nh].color.y) / 2;
c3 = (c3 + pixels[nh].color.z) / 2;
}
frame_(y, x) = Point3_<uchar>(
static_cast<uchar>(c1),
static_cast<uchar>(c2),
static_cast<uchar>(c3));
mask_(y, x) = 255;
}
}
}
}
}
}
static float alignementError(
const Mat &M, const Mat &frame0, const Mat &mask0, const Mat &frame1)
{
CV_Assert(frame0.type() == CV_8UC3 && frame1.type() == CV_8UC3);
CV_Assert(mask0.type() == CV_8U && mask0.size() == frame0.size());
CV_Assert(frame0.size() == frame1.size());
CV_Assert(M.size() == Size(3,3) && M.type() == CV_32F);
Mat_<uchar> mask0_(mask0);
Mat_<float> M_(M);
float err = 0;
for (int y0 = 0; y0 < frame0.rows; ++y0)
{
for (int x0 = 0; x0 < frame0.cols; ++x0)
{
if (mask0_(y0,x0))
{
int x1 = cvRound(M_(0,0)*x0 + M_(0,1)*y0 + M_(0,2));
int y1 = cvRound(M_(1,0)*x0 + M_(1,1)*y0 + M_(1,2));
if (y1 >= 0 && y1 < frame1.rows && x1 >= 0 && x1 < frame1.cols)
err += std::abs(intensity(frame1.at<Point3_<uchar> >(y1,x1)) -
intensity(frame0.at<Point3_<uchar> >(y0,x0)));
}
}
}
return err;
}
class MotionInpaintBody
{
public:
void operator ()(int x, int y)
{
float uEst = 0.f, vEst = 0.f, wSum = 0.f;
for (int dy = -rad; dy <= rad; ++dy)
{
for (int dx = -rad; dx <= rad; ++dx)
{
int qx0 = x + dx;
int qy0 = y + dy;
if (qy0 >= 0 && qy0 < mask0.rows && qx0 >= 0 && qx0 < mask0.cols && mask0(qy0,qx0))
{
int qx1 = cvRound(qx0 + flowX(qy0,qx0));
int qy1 = cvRound(qy0 + flowY(qy0,qx0));
int px1 = qx1 - dx;
int py1 = qy1 - dy;
if (qx1 >= 0 && qx1 < mask1.cols && qy1 >= 0 && qy1 < mask1.rows && mask1(qy1,qx1) &&
px1 >= 0 && px1 < mask1.cols && py1 >= 0 && py1 < mask1.rows && mask1(py1,px1))
{
float dudx = 0.f, dvdx = 0.f, dudy = 0.f, dvdy = 0.f;
if (qx0 > 0 && mask0(qy0,qx0-1))
{
if (qx0+1 < mask0.cols && mask0(qy0,qx0+1))
{
dudx = (flowX(qy0,qx0+1) - flowX(qy0,qx0-1)) * 0.5f;
dvdx = (flowY(qy0,qx0+1) - flowY(qy0,qx0-1)) * 0.5f;
}
else
{
dudx = flowX(qy0,qx0) - flowX(qy0,qx0-1);
dvdx = flowY(qy0,qx0) - flowY(qy0,qx0-1);
}
}
else if (qx0+1 < mask0.cols && mask0(qy0,qx0+1))
{
dudx = flowX(qy0,qx0+1) - flowX(qy0,qx0);
dvdx = flowY(qy0,qx0+1) - flowY(qy0,qx0);
}
if (qy0 > 0 && mask0(qy0-1,qx0))
{
if (qy0+1 < mask0.rows && mask0(qy0+1,qx0))
{
dudy = (flowX(qy0+1,qx0) - flowX(qy0-1,qx0)) * 0.5f;
dvdy = (flowY(qy0+1,qx0) - flowY(qy0-1,qx0)) * 0.5f;
}
else
{
dudy = flowX(qy0,qx0) - flowX(qy0-1,qx0);
dvdy = flowY(qy0,qx0) - flowY(qy0-1,qx0);
}
}
else if (qy0+1 < mask0.rows && mask0(qy0+1,qx0))
{
dudy = flowX(qy0+1,qx0) - flowX(qy0,qx0);
dvdy = flowY(qy0+1,qx0) - flowY(qy0,qx0);
}
Point3_<uchar> cp = frame1(py1,px1), cq = frame1(qy1,qx1);
float distColor = sqr(static_cast<float>(cp.x-cq.x))
+ sqr(static_cast<float>(cp.y-cq.y))
+ sqr(static_cast<float>(cp.z-cq.z));
float w = 1.f / (std::sqrt(distColor * (dx*dx + dy*dy)) + eps);
uEst += w * (flowX(qy0,qx0) - dudx*dx - dudy*dy);
vEst += w * (flowY(qy0,qx0) - dvdx*dx - dvdy*dy);
wSum += w;
}
}
}
}
if (wSum > 0.f)
{
flowX(y,x) = uEst / wSum;
flowY(y,x) = vEst / wSum;
mask0(y,x) = 255;
}
}
Mat_<Point3_<uchar> > frame1;
Mat_<uchar> mask0, mask1;
Mat_<float> flowX, flowY;
float eps;
int rad;
};
MotionInpainter::MotionInpainter()
{
#ifdef HAVE_OPENCV_CUDAOPTFLOW
setOptFlowEstimator(makePtr<DensePyrLkOptFlowEstimatorGpu>());
setFlowErrorThreshold(1e-4f);
setDistThreshold(5.f);
setBorderMode(BORDER_REPLICATE);
#else
CV_Error(Error::StsNotImplemented, "Current implementation of MotionInpainter requires CUDA");
#endif
}
void MotionInpainter::inpaint(int idx, Mat &frame, Mat &mask)
{
CV_INSTRUMENT_REGION();
std::priority_queue<std::pair<float,int> > neighbors;
std::vector<Mat> vmotions(2*radius_ + 1);
for (int i = -radius_; i <= radius_; ++i)
{
Mat motion0to1 = getMotion(idx, idx + i, *motions_) * at(idx, *stabilizationMotions_).inv();
vmotions[radius_ + i] = motion0to1;
if (i != 0)
{
float err = alignementError(motion0to1, frame, mask, at(idx + i, *frames_));
neighbors.push(std::make_pair(-err, idx + i));
}
}
if (mask1_.size() != mask.size())
{
mask1_.create(mask.size());
mask1_.setTo(255);
}
cvtColor(frame, grayFrame_, COLOR_BGR2GRAY);
MotionInpaintBody body;
body.rad = 2;
body.eps = 1e-4f;
while (!neighbors.empty())
{
int neighbor = neighbors.top().second;
neighbors.pop();
Mat motion1to0 = vmotions[radius_ + neighbor - idx].inv();
// warp frame
frame1_ = at(neighbor, *frames_);
if (motionModel_ != MM_HOMOGRAPHY)
warpAffine(
frame1_, transformedFrame1_, motion1to0(Rect(0,0,3,2)), frame1_.size(),
INTER_LINEAR, borderMode_);
else
warpPerspective(
frame1_, transformedFrame1_, motion1to0, frame1_.size(), INTER_LINEAR,
borderMode_);
cvtColor(transformedFrame1_, transformedGrayFrame1_, COLOR_BGR2GRAY);
// warp mask
if (motionModel_ != MM_HOMOGRAPHY)
warpAffine(
mask1_, transformedMask1_, motion1to0(Rect(0,0,3,2)), mask1_.size(),
INTER_NEAREST);
else
warpPerspective(mask1_, transformedMask1_, motion1to0, mask1_.size(), INTER_NEAREST);
erode(transformedMask1_, transformedMask1_, Mat());
// update flow
optFlowEstimator_->run(grayFrame_, transformedGrayFrame1_, flowX_, flowY_, flowErrors_);
calcFlowMask(
flowX_, flowY_, flowErrors_, flowErrorThreshold_, mask, transformedMask1_,
flowMask_);
body.flowX = flowX_;
body.flowY = flowY_;
body.mask0 = flowMask_;
body.mask1 = transformedMask1_;
body.frame1 = transformedFrame1_;
fmm_.run(flowMask_, body);
completeFrameAccordingToFlow(
flowMask_, flowX_, flowY_, transformedFrame1_, transformedMask1_, distThresh_,
frame, mask);
}
}
class ColorAverageInpaintBody
{
public:
void operator ()(int x, int y)
{
float c1 = 0, c2 = 0, c3 = 0;
float wSum = 0;
static const int lut[8][2] = {{-1,-1}, {-1,0}, {-1,1}, {0,-1}, {0,1}, {1,-1}, {1,0}, {1,1}};
for (int i = 0; i < 8; ++i)
{
int qx = x + lut[i][0];
int qy = y + lut[i][1];
if (qy >= 0 && qy < mask.rows && qx >= 0 && qx < mask.cols && mask(qy,qx))
{
c1 += frame.at<uchar>(qy,3*qx);
c2 += frame.at<uchar>(qy,3*qx+1);
c3 += frame.at<uchar>(qy,3*qx+2);
wSum += 1;
}
}
float wSumInv = (std::fabs(wSum) > 0) ? (1.f / wSum) : 0; // if wSum is 0, c1-c3 will be 0 too
frame(y,x) = Point3_<uchar>(
static_cast<uchar>(c1*wSumInv),
static_cast<uchar>(c2*wSumInv),
static_cast<uchar>(c3*wSumInv));
mask(y,x) = 255;
}
cv::Mat_<uchar> mask;
cv::Mat_<cv::Point3_<uchar> > frame;
};
void ColorAverageInpainter::inpaint(int /*idx*/, Mat &frame, Mat &mask)
{
CV_INSTRUMENT_REGION();
ColorAverageInpaintBody body;
body.mask = mask;
body.frame = frame;
fmm_.run(mask, body);
}
void ColorInpainter::inpaint(int /*idx*/, Mat &frame, Mat &mask)
{
CV_INSTRUMENT_REGION();
bitwise_not(mask, invMask_);
cv::inpaint(frame, invMask_, frame, radius_, method_);
}
void calcFlowMask(
const Mat &flowX, const Mat &flowY, const Mat &errors, float maxError,
const Mat &mask0, const Mat &mask1, Mat &flowMask)
{
CV_INSTRUMENT_REGION();
CV_Assert(flowX.type() == CV_32F && flowX.size() == mask0.size());
CV_Assert(flowY.type() == CV_32F && flowY.size() == mask0.size());
CV_Assert(errors.type() == CV_32F && errors.size() == mask0.size());
CV_Assert(mask0.type() == CV_8U);
CV_Assert(mask1.type() == CV_8U && mask1.size() == mask0.size());
Mat_<float> flowX_(flowX), flowY_(flowY), errors_(errors);
Mat_<uchar> mask0_(mask0), mask1_(mask1);
flowMask.create(mask0.size(), CV_8U);
flowMask.setTo(0);
Mat_<uchar> flowMask_(flowMask);
for (int y0 = 0; y0 < flowMask_.rows; ++y0)
{
for (int x0 = 0; x0 < flowMask_.cols; ++x0)
{
if (mask0_(y0,x0) && errors_(y0,x0) < maxError)
{
int x1 = cvRound(x0 + flowX_(y0,x0));
int y1 = cvRound(y0 + flowY_(y0,x0));
if (x1 >= 0 && x1 < mask1_.cols && y1 >= 0 && y1 < mask1_.rows && mask1_(y1,x1))
flowMask_(y0,x0) = 255;
}
}
}
}
void completeFrameAccordingToFlow(
const Mat &flowMask, const Mat &flowX, const Mat &flowY, const Mat &frame1, const Mat &mask1,
float distThresh, Mat &frame0, Mat &mask0)
{
CV_INSTRUMENT_REGION();
CV_Assert(flowMask.type() == CV_8U);
CV_Assert(flowX.type() == CV_32F && flowX.size() == flowMask.size());
CV_Assert(flowY.type() == CV_32F && flowY.size() == flowMask.size());
CV_Assert(frame1.type() == CV_8UC3 && frame1.size() == flowMask.size());
CV_Assert(mask1.type() == CV_8U && mask1.size() == flowMask.size());
CV_Assert(frame0.type() == CV_8UC3 && frame0.size() == flowMask.size());
CV_Assert(mask0.type() == CV_8U && mask0.size() == flowMask.size());
Mat_<uchar> flowMask_(flowMask), mask1_(mask1), mask0_(mask0);
Mat_<float> flowX_(flowX), flowY_(flowY);
for (int y0 = 0; y0 < frame0.rows; ++y0)
{
for (int x0 = 0; x0 < frame0.cols; ++x0)
{
if (!mask0_(y0,x0) && flowMask_(y0,x0))
{
int x1 = cvRound(x0 + flowX_(y0,x0));
int y1 = cvRound(y0 + flowY_(y0,x0));
if (x1 >= 0 && x1 < frame1.cols && y1 >= 0 && y1 < frame1.rows && mask1_(y1,x1)
&& sqr(flowX_(y0,x0)) + sqr(flowY_(y0,x0)) < sqr(distThresh))
{
frame0.at<Point3_<uchar> >(y0,x0) = frame1.at<Point3_<uchar> >(y1,x1);
mask0_(y0,x0) = 255;
}
}
}
}
}
} // namespace videostab
} // namespace cv