Added Feature SubPixel refining and OpticalFlow homography refining
This commit is contained in:
matlabbe
parent
b3b25b905b
commit
4b2ab25cb7
@ -42,6 +42,7 @@ public:
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enum TimeStamp{
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kTimeKeypointDetection,
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kTimeDescriptorExtraction,
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kTimeSubPixelRefining,
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kTimeSkewAffine,
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kTimeIndexing,
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kTimeMatching,
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@ -120,6 +120,10 @@ class FINDOBJECT_EXP Settings
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PARAMETER(Feature2D, 3MaxFeatures, int, 0, "Maximum features per image. If the number of features extracted is over this threshold, only X features with the highest response are kept. 0 means all features are kept.");
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PARAMETER(Feature2D, 4Affine, bool, false, "(ASIFT) Extract features on multiple affine transformations of the image.");
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PARAMETER(Feature2D, 5AffineCount, int, 6, "(ASIFT) Higher the value, more affine transformations will be done.");
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PARAMETER(Feature2D, 6SubPix, bool, FINDOBJECT_NONFREE != 1, "Refines the corner locations. With SIFT/SURF, features are already subpixel, so no need to activate this.");
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PARAMETER(Feature2D, 7SubPixWinSize, int, 3, "Half of the side length of the search window. For example, if winSize=Size(5,5) , then a 5*2+1 x 5*2+1 = 11 x 11 search window is used.");
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PARAMETER(Feature2D, 8SubPixIterations, int, 30, "The process of corner position refinement stops after X iterations.");
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PARAMETER(Feature2D, 9SubPixEps, float, 0.02, "The process of corner position refinement stops when the corner position moves by less than epsilon on some iteration.");
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PARAMETER(Feature2D, Brief_bytes, int, 32, "Bytes is a length of descriptor in bytes. It can be equal 16, 32 or 64 bytes.");
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@ -255,6 +259,11 @@ class FINDOBJECT_EXP Settings
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PARAMETER(Homography, rectBorderWidth, int, 4, "Homography rectangle border width.");
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PARAMETER(Homography, allCornersVisible, bool, false, "All corners of the detected object must be visible in the scene.");
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PARAMETER(Homography, minAngle, int, 0, "(Degrees) Homography minimum angle. Set 0 to disable. When the angle is very small, this is a good indication that the homography is wrong. A good value is over 60 degrees.");
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PARAMETER(Homography, opticalFlow, bool, false, "Activate optical flow to refine matched features before computing the homography.");
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PARAMETER(Homography, opticalFlowWinSize, int, 16, "Size of the search window at each pyramid level.");
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PARAMETER(Homography, opticalFlowMaxLevel, int, 3, "0-based maximal pyramid level number; if set to 0, pyramids are not used (single level), if set to 1, two levels are used, and so on; if pyramids are passed to input then algorithm will use as many levels as pyramids have but no more than maxLevel.");
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PARAMETER(Homography, opticalFlowIterations, int, 30, "Specifying the termination criteria of the iterative search algorithm (after the specified maximum number of iterations).");
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PARAMETER(Homography, opticalFlowEps, float, 0.01, "Specifying the termination criteria of the iterative search algorithm (when the search window moves by less than epsilon).");
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public:
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virtual ~Settings(){}
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@ -377,7 +377,8 @@ public:
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phi_(phi),
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timeSkewAffine_(0),
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timeDetection_(0),
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timeExtraction_(0)
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timeExtraction_(0),
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timeSubPix_(0)
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{
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UASSERT(detector && extractor);
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}
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@ -388,6 +389,7 @@ public:
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int timeSkewAffine() const {return timeSkewAffine_;}
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int timeDetection() const {return timeDetection_;}
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int timeExtraction() const {return timeExtraction_;}
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int timeSubPix() const {return timeSubPix_;}
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protected:
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virtual void run()
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@ -422,6 +424,24 @@ protected:
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keypoints_[i].pt.x = pa.at<float>(0,0);
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keypoints_[i].pt.y = pa.at<float>(1,0);
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}
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if(keypoints_.size() && Settings::getFeature2D_6SubPix())
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{
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// Sub pixel should be done after descriptors extraction
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std::vector<cv::Point2f> corners;
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cv::KeyPoint::convert(keypoints_, corners);
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cv::cornerSubPix(image_,
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corners,
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cv::Size(Settings::getFeature2D_7SubPixWinSize(), Settings::getFeature2D_7SubPixWinSize()),
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cv::Size(-1,-1),
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cv::TermCriteria( CV_TERMCRIT_EPS + CV_TERMCRIT_ITER, Settings::getFeature2D_8SubPixIterations(), Settings::getFeature2D_9SubPixEps() ));
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UASSERT(corners.size() == keypoints_.size());
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for(unsigned int i=0; i<corners.size(); ++i)
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{
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keypoints_[i].pt = corners[i];
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}
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timeSubPix_ +=timeStep.restart();
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}
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}
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else
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{
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@ -440,6 +460,7 @@ private:
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int timeSkewAffine_;
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int timeDetection_;
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int timeExtraction_;
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int timeSubPix_;
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};
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class ExtractFeaturesThread : public QThread
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@ -456,7 +477,8 @@ public:
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image_(image),
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timeSkewAffine_(0),
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timeDetection_(0),
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timeExtraction_(0)
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timeExtraction_(0),
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timeSubPix_(0)
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{
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UASSERT(detector && extractor);
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}
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@ -468,6 +490,7 @@ public:
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int timeSkewAffine() const {return timeSkewAffine_;}
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int timeDetection() const {return timeDetection_;}
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int timeExtraction() const {return timeExtraction_;}
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int timeSubPix() const {return timeSubPix_;}
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protected:
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virtual void run()
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@ -513,6 +536,23 @@ protected:
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{
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UERROR("obj=%d kpt=%d != descriptors=%d", objectId_, (int)keypoints_.size(), descriptors_.rows);
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}
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else if(Settings::getFeature2D_6SubPix())
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{
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// Sub pixel should be done after descriptors extraction
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std::vector<cv::Point2f> corners;
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cv::KeyPoint::convert(keypoints_, corners);
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cv::cornerSubPix(image_,
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corners,
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cv::Size(Settings::getFeature2D_7SubPixWinSize(), Settings::getFeature2D_7SubPixWinSize()),
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cv::Size(-1,-1),
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cv::TermCriteria( CV_TERMCRIT_EPS + CV_TERMCRIT_ITER, Settings::getFeature2D_8SubPixIterations(), Settings::getFeature2D_9SubPixEps() ));
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UASSERT(corners.size() == keypoints_.size());
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for(unsigned int i=0; i<corners.size(); ++i)
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{
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keypoints_[i].pt = corners[i];
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}
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timeSubPix_ +=timeStep.restart();
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}
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}
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else
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{
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@ -566,6 +606,7 @@ protected:
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timeSkewAffine_ += threads[k]->timeSkewAffine();
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timeDetection_ += threads[k]->timeDetection();
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timeExtraction_ += threads[k]->timeExtraction();
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timeSubPix_ += threads[k]->timeSubPix();
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}
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}
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}
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@ -583,6 +624,7 @@ private:
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int timeSkewAffine_;
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int timeDetection_;
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int timeExtraction_;
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int timeSubPix_;
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};
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void FindObject::updateObjects(const QList<int> & ids)
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@ -876,11 +918,15 @@ public:
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const QMultiMap<int, int> * matches, // <object, scene>
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int objectId,
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const std::vector<cv::KeyPoint> * kptsA,
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const std::vector<cv::KeyPoint> * kptsB) :
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const std::vector<cv::KeyPoint> * kptsB,
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const cv::Mat & imageA, // image only required if opticalFlow is on
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const cv::Mat & imageB) : // image only required if opticalFlow is on
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matches_(matches),
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objectId_(objectId),
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kptsA_(kptsA),
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kptsB_(kptsB),
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imageA_(imageA),
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imageB_(imageB),
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code_(DetectionInfo::kRejectedUndef)
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{
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UASSERT(matches && kptsA && kptsB);
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@ -919,6 +965,41 @@ protected:
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if((int)mpts_1.size() >= Settings::getHomography_minimumInliers())
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{
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if(Settings::getHomography_opticalFlow())
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{
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UASSERT(!imageA_.empty() && !imageB_.empty());
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cv::Mat imageA = imageA_;
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cv::Mat imageB = imageB_;
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if(imageA_.cols < imageB_.cols && imageA_.rows < imageB_.rows)
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{
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// padding, optical flow wants images of the same size
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imageA = cv::Mat::zeros(imageB_.size(), imageA_.type());
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imageA_.copyTo(imageA(cv::Rect(0,0,imageA_.cols, imageA_.rows)));
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}
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if(imageA.size() == imageB.size())
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{
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//refine matches
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std::vector<unsigned char> status;
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std::vector<float> err;
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cv::calcOpticalFlowPyrLK(
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imageA,
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imageB_,
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mpts_1,
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mpts_2,
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status,
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err,
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cv::Size(Settings::getHomography_opticalFlowWinSize(), Settings::getHomography_opticalFlowWinSize()),
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Settings::getHomography_opticalFlowMaxLevel(),
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cv::TermCriteria(cv::TermCriteria::COUNT+cv::TermCriteria::EPS, Settings::getHomography_opticalFlowIterations(), Settings::getHomography_opticalFlowEps()),
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cv::OPTFLOW_LK_GET_MIN_EIGENVALS | cv::OPTFLOW_USE_INITIAL_FLOW, 1e-4);
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}
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else
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{
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UERROR("Object's image should be less/equal size of the scene image to use Optical Flow.");
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}
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}
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h_ = findHomography(mpts_1,
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mpts_2,
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Settings::getHomographyMethod(),
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@ -959,6 +1040,8 @@ private:
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int objectId_;
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const std::vector<cv::KeyPoint> * kptsA_;
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const std::vector<cv::KeyPoint> * kptsB_;
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cv::Mat imageA_;
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cv::Mat imageB_;
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DetectionInfo::RejectedCode code_;
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std::vector<int> indexesA_;
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@ -1033,6 +1116,7 @@ bool FindObject::detect(const cv::Mat & image, find_object::DetectionInfo & info
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info.sceneDescriptors_ = extractThread.descriptors();
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info.timeStamps_.insert(DetectionInfo::kTimeKeypointDetection, extractThread.timeDetection());
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info.timeStamps_.insert(DetectionInfo::kTimeDescriptorExtraction, extractThread.timeExtraction());
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info.timeStamps_.insert(DetectionInfo::kTimeSubPixelRefining, extractThread.timeSubPix());
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info.timeStamps_.insert(DetectionInfo::kTimeSkewAffine, extractThread.timeSkewAffine());
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bool consistentNNData = (vocabulary_->size()!=0 && vocabulary_->wordToObjects().begin().value()!=-1 && Settings::getGeneral_invertedSearch()) ||
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@ -1063,9 +1147,9 @@ bool FindObject::detect(const cv::Mat & image, find_object::DetectionInfo & info
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if(!Settings::getGeneral_invertedSearch())
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{
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vocabulary_->clear();
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// CREATE INDEX for the scene
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UDEBUG("CREATE INDEX FOR THE SCENE");
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vocabulary_->clear();
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words = vocabulary_->addWords(info.sceneDescriptors_, -1, Settings::getGeneral_vocabularyIncremental());
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if(!Settings::getGeneral_vocabularyIncremental())
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{
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@ -1235,7 +1319,13 @@ bool FindObject::detect(const cv::Mat & image, find_object::DetectionInfo & info
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for(int k=i; k<i+threadCounts && k<matchesList.size(); ++k)
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{
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int objectId = matchesId[k];
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threads.push_back(new HomographyThread(&matchesList[k], objectId, &objects_.value(objectId)->keypoints(), &info.sceneKeypoints_));
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threads.push_back(new HomographyThread(
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&matchesList[k],
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objectId,
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&objects_.value(objectId)->keypoints(),
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&info.sceneKeypoints_,
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objects_.value(objectId)->image(),
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grayscaleImg));
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threads.back()->start();
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}
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@ -1353,8 +1443,6 @@ bool FindObject::detect(const cv::Mat & image, find_object::DetectionInfo & info
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if(code == DetectionInfo::kRejectedUndef)
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{
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// Accepted!
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//std::cout << "H= " << threads[j]->getHomography() << std::endl;
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info.objDetected_.insert(id, hTransform);
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info.objDetectedSizes_.insert(id, objects_.value(id)->rect().size());
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info.objDetectedInliers_.insert(id, threads[j]->getInliers());
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@ -159,7 +159,6 @@ MainWindow::MainWindow(FindObject * findObject, Camera * camera, QWidget * paren
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ui_->menuView->addAction(ui_->dockWidget_plot->toggleViewAction());
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connect(ui_->toolBox, SIGNAL(parametersChanged(const QStringList &)), this, SLOT(notifyParametersChanged(const QStringList &)));
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ui_->imageView_source->setGraphicsViewMode(true);
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ui_->imageView_source->setTextLabel(tr("Press \"space\" to start the camera or drop an image here..."));
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ui_->imageView_source->setMirrorView(Settings::getGeneral_mirrorView());
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connect((QCheckBox*)ui_->toolBox->getParameterWidget(Settings::kGeneral_mirrorView()),
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@ -1139,6 +1138,7 @@ void MainWindow::update(const cv::Mat & image)
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ui_->label_timeDetection->setNum(info.timeStamps_.value(DetectionInfo::kTimeKeypointDetection, 0));
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ui_->label_timeSkewAffine->setNum(info.timeStamps_.value(DetectionInfo::kTimeSkewAffine, 0));
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ui_->label_timeExtraction->setNum(info.timeStamps_.value(DetectionInfo::kTimeDescriptorExtraction, 0));
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ui_->label_timeSubPix->setNum(info.timeStamps_.value(DetectionInfo::kTimeSubPixelRefining, 0));
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ui_->imageView_source->setData(info.sceneKeypoints_, cvtCvMat2QImage(sceneImage_));
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if(!findObject_->vocabulary()->size())
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{
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@ -1339,6 +1339,7 @@ void MainWindow::update(const cv::Mat & image)
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ui_->label_timeDetection->setNum(info.timeStamps_.value(DetectionInfo::kTimeKeypointDetection, 0));
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ui_->label_timeSkewAffine->setNum(info.timeStamps_.value(DetectionInfo::kTimeSkewAffine, 0));
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ui_->label_timeExtraction->setNum(info.timeStamps_.value(DetectionInfo::kTimeDescriptorExtraction, 0));
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ui_->label_timeSubPix->setNum(info.timeStamps_.value(DetectionInfo::kTimeSubPixelRefining, 0));
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ui_->imageView_source->setData(info.sceneKeypoints_, cvtCvMat2QImage(sceneImage_));
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}
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@ -7,7 +7,7 @@
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<x>0</x>
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<y>0</y>
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<width>881</width>
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<height>536</height>
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<height>552</height>
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</rect>
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</property>
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<property name="windowTitle">
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@ -368,7 +368,7 @@
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<x>0</x>
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<y>0</y>
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<width>222</width>
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<height>409</height>
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<height>425</height>
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</rect>
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</property>
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<layout class="QVBoxLayout" name="verticalLayout_objects">
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@ -475,84 +475,175 @@
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<property name="verticalSpacing">
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<number>0</number>
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</property>
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<item row="4" column="1">
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<item row="5" column="1">
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<widget class="QLabel" name="label_timeIndexing">
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<property name="text">
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<string>000</string>
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</property>
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</widget>
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</item>
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<item row="5" column="1">
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<item row="6" column="1">
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<widget class="QLabel" name="label_timeMatching">
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<property name="text">
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<string>000</string>
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</property>
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</widget>
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</item>
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<item row="4" column="2">
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<item row="5" column="2">
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<widget class="QLabel" name="label_9">
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<property name="text">
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<string>ms</string>
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</property>
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</widget>
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</item>
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<item row="5" column="2">
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<item row="6" column="2">
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<widget class="QLabel" name="label_10">
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<property name="text">
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<string>ms</string>
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</property>
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</widget>
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</item>
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<item row="4" column="0">
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<item row="0" column="2">
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<widget class="QLabel" name="label_16">
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<property name="text">
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<string>ms</string>
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</property>
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</widget>
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</item>
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<item row="12" column="0">
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<widget class="QLabel" name="label_17">
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<property name="text">
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<string>Vocabulary size</string>
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</property>
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</widget>
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</item>
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<item row="12" column="1">
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<widget class="QLabel" name="label_vocabularySize">
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<property name="text">
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<string>000</string>
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</property>
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</widget>
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</item>
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<item row="13" column="0">
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<widget class="QLabel" name="label_18">
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<property name="text">
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<string>IP address</string>
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</property>
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</widget>
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</item>
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<item row="14" column="0">
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<widget class="QLabel" name="label_19">
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<property name="text">
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<string>Output detection port</string>
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</property>
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</widget>
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</item>
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<item row="13" column="1">
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<widget class="QLabel" name="label_ipAddress">
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<property name="text">
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<string>0.0.0.0</string>
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</property>
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</widget>
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</item>
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<item row="14" column="1">
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<widget class="QLabel" name="label_port">
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<property name="text">
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<string>0</string>
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</property>
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</widget>
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</item>
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<item row="9" column="0">
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<widget class="QLabel" name="label_20">
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<property name="text">
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<string>Objects detected</string>
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</property>
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</widget>
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</item>
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<item row="9" column="1">
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<widget class="QLabel" name="label_objectsDetected">
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<property name="text">
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<string>000</string>
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</property>
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</widget>
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</item>
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<item row="7" column="1">
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<widget class="QLabel" name="label_timeHomographies">
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<property name="text">
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<string>000</string>
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</property>
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</widget>
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</item>
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<item row="15" column="0">
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<widget class="QLabel" name="label_21">
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<property name="text">
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<string>Input image port</string>
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</property>
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</widget>
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</item>
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<item row="15" column="1">
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<widget class="QLabel" name="label_port_image">
|
||||
<property name="text">
|
||||
<string>-</string>
|
||||
</property>
|
||||
</widget>
|
||||
</item>
|
||||
<item row="3" column="0">
|
||||
<widget class="QLabel" name="label_22">
|
||||
<property name="text">
|
||||
<string>Affine transforms</string>
|
||||
</property>
|
||||
</widget>
|
||||
</item>
|
||||
<item row="5" column="0">
|
||||
<widget class="QLabel" name="label_8">
|
||||
<property name="text">
|
||||
<string>Descriptors indexing</string>
|
||||
</property>
|
||||
</widget>
|
||||
</item>
|
||||
<item row="6" column="2">
|
||||
<item row="7" column="2">
|
||||
<widget class="QLabel" name="label_12">
|
||||
<property name="text">
|
||||
<string>ms</string>
|
||||
</property>
|
||||
</widget>
|
||||
</item>
|
||||
<item row="9" column="1">
|
||||
<item row="10" column="1">
|
||||
<widget class="QLabel" name="label_minMatchedDistance">
|
||||
<property name="text">
|
||||
<string>000</string>
|
||||
</property>
|
||||
</widget>
|
||||
</item>
|
||||
<item row="9" column="0">
|
||||
<item row="10" column="0">
|
||||
<widget class="QLabel" name="label_13">
|
||||
<property name="text">
|
||||
<string>Min matched distance</string>
|
||||
</property>
|
||||
</widget>
|
||||
</item>
|
||||
<item row="10" column="0">
|
||||
<item row="11" column="0">
|
||||
<widget class="QLabel" name="label_14">
|
||||
<property name="text">
|
||||
<string>Max matched distance</string>
|
||||
</property>
|
||||
</widget>
|
||||
</item>
|
||||
<item row="10" column="1">
|
||||
<item row="11" column="1">
|
||||
<widget class="QLabel" name="label_maxMatchedDistance">
|
||||
<property name="text">
|
||||
<string>000</string>
|
||||
</property>
|
||||
</widget>
|
||||
</item>
|
||||
<item row="6" column="0">
|
||||
<item row="7" column="0">
|
||||
<widget class="QLabel" name="label_11">
|
||||
<property name="text">
|
||||
<string>Homograhies</string>
|
||||
</property>
|
||||
</widget>
|
||||
</item>
|
||||
<item row="3" column="0">
|
||||
<item row="4" column="0">
|
||||
<widget class="QLabel" name="label_2">
|
||||
<property name="text">
|
||||
<string>Descriptors extraction</string>
|
||||
@ -566,14 +657,14 @@
|
||||
</property>
|
||||
</widget>
|
||||
</item>
|
||||
<item row="3" column="1">
|
||||
<item row="4" column="1">
|
||||
<widget class="QLabel" name="label_timeExtraction">
|
||||
<property name="text">
|
||||
<string>000</string>
|
||||
</property>
|
||||
</widget>
|
||||
</item>
|
||||
<item row="3" column="2">
|
||||
<item row="4" column="2">
|
||||
<widget class="QLabel" name="label_4">
|
||||
<property name="text">
|
||||
<string>ms</string>
|
||||
@ -594,7 +685,7 @@
|
||||
</property>
|
||||
</widget>
|
||||
</item>
|
||||
<item row="5" column="0">
|
||||
<item row="6" column="0">
|
||||
<widget class="QLabel" name="label_7">
|
||||
<property name="text">
|
||||
<string>Descriptors matching</string>
|
||||
@ -615,132 +706,62 @@
|
||||
</property>
|
||||
</widget>
|
||||
</item>
|
||||
<item row="0" column="2">
|
||||
<widget class="QLabel" name="label_16">
|
||||
<property name="text">
|
||||
<string>ms</string>
|
||||
</property>
|
||||
</widget>
|
||||
</item>
|
||||
<item row="11" column="0">
|
||||
<widget class="QLabel" name="label_17">
|
||||
<property name="text">
|
||||
<string>Vocabulary size</string>
|
||||
</property>
|
||||
</widget>
|
||||
</item>
|
||||
<item row="11" column="1">
|
||||
<widget class="QLabel" name="label_vocabularySize">
|
||||
<property name="text">
|
||||
<string>000</string>
|
||||
</property>
|
||||
</widget>
|
||||
</item>
|
||||
<item row="12" column="0">
|
||||
<widget class="QLabel" name="label_18">
|
||||
<property name="text">
|
||||
<string>IP address</string>
|
||||
</property>
|
||||
</widget>
|
||||
</item>
|
||||
<item row="13" column="0">
|
||||
<widget class="QLabel" name="label_19">
|
||||
<property name="text">
|
||||
<string>Output detection port</string>
|
||||
</property>
|
||||
</widget>
|
||||
</item>
|
||||
<item row="12" column="1">
|
||||
<widget class="QLabel" name="label_ipAddress">
|
||||
<property name="text">
|
||||
<string>0.0.0.0</string>
|
||||
</property>
|
||||
</widget>
|
||||
</item>
|
||||
<item row="13" column="1">
|
||||
<widget class="QLabel" name="label_port">
|
||||
<property name="text">
|
||||
<string>0</string>
|
||||
</property>
|
||||
</widget>
|
||||
</item>
|
||||
<item row="8" column="0">
|
||||
<widget class="QLabel" name="label_20">
|
||||
<property name="text">
|
||||
<string>Objects detected</string>
|
||||
</property>
|
||||
</widget>
|
||||
</item>
|
||||
<item row="8" column="1">
|
||||
<widget class="QLabel" name="label_objectsDetected">
|
||||
<property name="text">
|
||||
<string>000</string>
|
||||
</property>
|
||||
</widget>
|
||||
</item>
|
||||
<item row="6" column="1">
|
||||
<widget class="QLabel" name="label_timeHomographies">
|
||||
<property name="text">
|
||||
<string>000</string>
|
||||
</property>
|
||||
</widget>
|
||||
</item>
|
||||
<item row="14" column="0">
|
||||
<widget class="QLabel" name="label_21">
|
||||
<property name="text">
|
||||
<string>Input image port</string>
|
||||
</property>
|
||||
</widget>
|
||||
</item>
|
||||
<item row="14" column="1">
|
||||
<widget class="QLabel" name="label_port_image">
|
||||
<property name="text">
|
||||
<string>-</string>
|
||||
</property>
|
||||
</widget>
|
||||
</item>
|
||||
<item row="2" column="0">
|
||||
<widget class="QLabel" name="label_22">
|
||||
<property name="text">
|
||||
<string>Affine transforms</string>
|
||||
</property>
|
||||
</widget>
|
||||
</item>
|
||||
<item row="2" column="1">
|
||||
<item row="3" column="1">
|
||||
<widget class="QLabel" name="label_timeSkewAffine">
|
||||
<property name="text">
|
||||
<string>000</string>
|
||||
</property>
|
||||
</widget>
|
||||
</item>
|
||||
<item row="2" column="2">
|
||||
<item row="3" column="2">
|
||||
<widget class="QLabel" name="label_23">
|
||||
<property name="text">
|
||||
<string>ms</string>
|
||||
</property>
|
||||
</widget>
|
||||
</item>
|
||||
<item row="7" column="0">
|
||||
<item row="8" column="0">
|
||||
<widget class="QLabel" name="label_24">
|
||||
<property name="text">
|
||||
<string>Refresh GUI</string>
|
||||
</property>
|
||||
</widget>
|
||||
</item>
|
||||
<item row="7" column="1">
|
||||
<item row="8" column="1">
|
||||
<widget class="QLabel" name="label_timeRefreshGUI">
|
||||
<property name="text">
|
||||
<string>000</string>
|
||||
</property>
|
||||
</widget>
|
||||
</item>
|
||||
<item row="7" column="2">
|
||||
<item row="8" column="2">
|
||||
<widget class="QLabel" name="label_25">
|
||||
<property name="text">
|
||||
<string>ms</string>
|
||||
</property>
|
||||
</widget>
|
||||
</item>
|
||||
<item row="2" column="0">
|
||||
<widget class="QLabel" name="label_26">
|
||||
<property name="text">
|
||||
<string>Features sub pixel refining</string>
|
||||
</property>
|
||||
</widget>
|
||||
</item>
|
||||
<item row="2" column="1">
|
||||
<widget class="QLabel" name="label_timeSubPix">
|
||||
<property name="text">
|
||||
<string>000</string>
|
||||
</property>
|
||||
</widget>
|
||||
</item>
|
||||
<item row="2" column="2">
|
||||
<widget class="QLabel" name="label_27">
|
||||
<property name="text">
|
||||
<string>ms</string>
|
||||
</property>
|
||||
</widget>
|
||||
</item>
|
||||
</layout>
|
||||
</item>
|
||||
<item>
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user