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531 lines
20 KiB
531 lines
20 KiB
// This file is part of OpenCV project. |
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// It is subject to the license terms in the LICENSE file found in the top-level directory |
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// of this distribution and at http://opencv.org/license.html. |
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#include "frameProcessor.hpp" |
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#include "rotationConverters.hpp" |
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#include <opencv2/3d.hpp> |
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#include <opencv2/calib.hpp> |
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#include <opencv2/imgproc.hpp> |
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#include <opencv2/highgui.hpp> |
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#include <vector> |
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#include <string> |
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#include <algorithm> |
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#include <limits> |
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using namespace calib; |
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#define VIDEO_TEXT_SIZE 4 |
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#define POINT_SIZE 5 |
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static cv::SimpleBlobDetector::Params getDetectorParams() |
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{ |
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cv::SimpleBlobDetector::Params detectorParams; |
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detectorParams.thresholdStep = 40; |
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detectorParams.minThreshold = 20; |
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detectorParams.maxThreshold = 500; |
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detectorParams.minRepeatability = 2; |
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detectorParams.minDistBetweenBlobs = 5; |
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detectorParams.filterByColor = true; |
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detectorParams.blobColor = 0; |
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detectorParams.filterByArea = true; |
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detectorParams.minArea = 5; |
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detectorParams.maxArea = 5000; |
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detectorParams.filterByCircularity = false; |
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detectorParams.minCircularity = 0.8f; |
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detectorParams.maxCircularity = std::numeric_limits<float>::max(); |
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detectorParams.filterByInertia = true; |
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detectorParams.minInertiaRatio = 0.1f; |
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detectorParams.maxInertiaRatio = std::numeric_limits<float>::max(); |
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detectorParams.filterByConvexity = true; |
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detectorParams.minConvexity = 0.8f; |
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detectorParams.maxConvexity = std::numeric_limits<float>::max(); |
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return detectorParams; |
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} |
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FrameProcessor::~FrameProcessor() |
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{ |
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} |
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bool CalibProcessor::detectAndParseChessboard(const cv::Mat &frame) |
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{ |
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int chessBoardFlags = cv::CALIB_CB_ADAPTIVE_THRESH | cv::CALIB_CB_NORMALIZE_IMAGE | cv::CALIB_CB_FAST_CHECK; |
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bool isTemplateFound = cv::findChessboardCorners(frame, mBoardSize, mCurrentImagePoints, chessBoardFlags); |
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if (isTemplateFound) { |
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cv::Mat viewGray; |
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cv::cvtColor(frame, viewGray, cv::COLOR_BGR2GRAY); |
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cv::cornerSubPix(viewGray, mCurrentImagePoints, cv::Size(11,11), |
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cv::Size(-1,-1), cv::TermCriteria( cv::TermCriteria::EPS+cv::TermCriteria::COUNT, 30, 0.1 )); |
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cv::drawChessboardCorners(frame, mBoardSize, cv::Mat(mCurrentImagePoints), isTemplateFound); |
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mTemplateLocations.insert(mTemplateLocations.begin(), mCurrentImagePoints[0]); |
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} |
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return isTemplateFound; |
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} |
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bool CalibProcessor::detectAndParseChAruco(const cv::Mat &frame) |
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{ |
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#ifdef HAVE_OPENCV_ARUCO |
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cv::Ptr<cv::aruco::Board> board = mCharucoBoard.staticCast<cv::aruco::Board>(); |
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std::vector<std::vector<cv::Point2f> > corners, rejected; |
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std::vector<int> ids; |
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cv::aruco::detectMarkers(frame, mArucoDictionary, corners, ids, cv::aruco::DetectorParameters::create(), rejected); |
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cv::aruco::refineDetectedMarkers(frame, board, corners, ids, rejected); |
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cv::Mat currentCharucoCorners, currentCharucoIds; |
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if(ids.size() > 0) |
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cv::aruco::interpolateCornersCharuco(corners, ids, frame, mCharucoBoard, currentCharucoCorners, |
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currentCharucoIds); |
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if(ids.size() > 0) cv::aruco::drawDetectedMarkers(frame, corners); |
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if(currentCharucoCorners.total() > 3) { |
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float centerX = 0, centerY = 0; |
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for (int i = 0; i < currentCharucoCorners.size[0]; i++) { |
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centerX += currentCharucoCorners.at<float>(i, 0); |
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centerY += currentCharucoCorners.at<float>(i, 1); |
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} |
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centerX /= currentCharucoCorners.size[0]; |
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centerY /= currentCharucoCorners.size[0]; |
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mTemplateLocations.insert(mTemplateLocations.begin(), cv::Point2f(centerX, centerY)); |
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cv::aruco::drawDetectedCornersCharuco(frame, currentCharucoCorners, currentCharucoIds); |
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mCurrentCharucoCorners = currentCharucoCorners; |
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mCurrentCharucoIds = currentCharucoIds; |
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return true; |
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} |
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#else |
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CV_UNUSED(frame); |
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#endif |
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return false; |
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} |
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bool CalibProcessor::detectAndParseACircles(const cv::Mat &frame) |
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{ |
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bool isTemplateFound = findCirclesGrid(frame, mBoardSize, mCurrentImagePoints, cv::CALIB_CB_ASYMMETRIC_GRID, mBlobDetectorPtr); |
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if(isTemplateFound) { |
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mTemplateLocations.insert(mTemplateLocations.begin(), mCurrentImagePoints[0]); |
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cv::drawChessboardCorners(frame, mBoardSize, cv::Mat(mCurrentImagePoints), isTemplateFound); |
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} |
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return isTemplateFound; |
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} |
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bool CalibProcessor::detectAndParseDualACircles(const cv::Mat &frame) |
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{ |
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std::vector<cv::Point2f> blackPointbuf; |
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cv::Mat invertedView; |
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cv::bitwise_not(frame, invertedView); |
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bool isWhiteGridFound = cv::findCirclesGrid(frame, mBoardSize, mCurrentImagePoints, cv::CALIB_CB_ASYMMETRIC_GRID, mBlobDetectorPtr); |
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if(!isWhiteGridFound) |
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return false; |
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bool isBlackGridFound = cv::findCirclesGrid(invertedView, mBoardSize, blackPointbuf, cv::CALIB_CB_ASYMMETRIC_GRID, mBlobDetectorPtr); |
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if(!isBlackGridFound) |
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{ |
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mCurrentImagePoints.clear(); |
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return false; |
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} |
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cv::drawChessboardCorners(frame, mBoardSize, cv::Mat(mCurrentImagePoints), isWhiteGridFound); |
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cv::drawChessboardCorners(frame, mBoardSize, cv::Mat(blackPointbuf), isBlackGridFound); |
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mCurrentImagePoints.insert(mCurrentImagePoints.end(), blackPointbuf.begin(), blackPointbuf.end()); |
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mTemplateLocations.insert(mTemplateLocations.begin(), mCurrentImagePoints[0]); |
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return true; |
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} |
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void CalibProcessor::saveFrameData() |
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{ |
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std::vector<cv::Point3f> objectPoints; |
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switch(mBoardType) |
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{ |
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case Chessboard: |
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objectPoints.reserve(mBoardSize.height*mBoardSize.width); |
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for( int i = 0; i < mBoardSize.height; ++i ) |
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for( int j = 0; j < mBoardSize.width; ++j ) |
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objectPoints.push_back(cv::Point3f(j*mSquareSize, i*mSquareSize, 0)); |
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mCalibData->imagePoints.push_back(mCurrentImagePoints); |
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mCalibData->objectPoints.push_back(objectPoints); |
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break; |
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case chAruco: |
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mCalibData->allCharucoCorners.push_back(mCurrentCharucoCorners); |
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mCalibData->allCharucoIds.push_back(mCurrentCharucoIds); |
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break; |
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case AcirclesGrid: |
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objectPoints.reserve(mBoardSize.height*mBoardSize.width); |
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for( int i = 0; i < mBoardSize.height; i++ ) |
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for( int j = 0; j < mBoardSize.width; j++ ) |
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objectPoints.push_back(cv::Point3f((2*j + i % 2)*mSquareSize, i*mSquareSize, 0)); |
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mCalibData->imagePoints.push_back(mCurrentImagePoints); |
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mCalibData->objectPoints.push_back(objectPoints); |
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break; |
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case DoubleAcirclesGrid: |
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{ |
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float gridCenterX = (2*((float)mBoardSize.width - 1) + 1)*mSquareSize + mTemplDist / 2; |
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float gridCenterY = (mBoardSize.height - 1)*mSquareSize / 2; |
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objectPoints.reserve(2*mBoardSize.height*mBoardSize.width); |
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//white part |
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for( int i = 0; i < mBoardSize.height; i++ ) |
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for( int j = 0; j < mBoardSize.width; j++ ) |
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objectPoints.push_back( |
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cv::Point3f(-float((2*j + i % 2)*mSquareSize + mTemplDist + |
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(2*(mBoardSize.width - 1) + 1)*mSquareSize - gridCenterX), |
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-float(i*mSquareSize) - gridCenterY, |
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0)); |
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//black part |
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for( int i = 0; i < mBoardSize.height; i++ ) |
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for( int j = 0; j < mBoardSize.width; j++ ) |
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objectPoints.push_back(cv::Point3f(-float((2*j + i % 2)*mSquareSize - gridCenterX), |
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-float(i*mSquareSize) - gridCenterY, 0)); |
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mCalibData->imagePoints.push_back(mCurrentImagePoints); |
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mCalibData->objectPoints.push_back(objectPoints); |
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} |
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break; |
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} |
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} |
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void CalibProcessor::showCaptureMessage(const cv::Mat& frame, const std::string &message) |
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{ |
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cv::Point textOrigin(100, 100); |
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double textSize = VIDEO_TEXT_SIZE * frame.cols / (double) IMAGE_MAX_WIDTH; |
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cv::bitwise_not(frame, frame); |
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cv::putText(frame, message, textOrigin, 1, textSize, cv::Scalar(0,0,255), 2, cv::LINE_AA); |
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cv::imshow(mainWindowName, frame); |
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cv::waitKey(300); |
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} |
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bool CalibProcessor::checkLastFrame() |
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{ |
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bool isFrameBad = false; |
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cv::Mat tmpCamMatrix; |
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const double badAngleThresh = 40; |
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if(!mCalibData->cameraMatrix.total()) { |
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tmpCamMatrix = cv::Mat::eye(3, 3, CV_64F); |
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tmpCamMatrix.at<double>(0,0) = 20000; |
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tmpCamMatrix.at<double>(1,1) = 20000; |
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tmpCamMatrix.at<double>(0,2) = mCalibData->imageSize.height/2; |
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tmpCamMatrix.at<double>(1,2) = mCalibData->imageSize.width/2; |
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} |
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else |
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mCalibData->cameraMatrix.copyTo(tmpCamMatrix); |
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if(mBoardType != chAruco) { |
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cv::Mat r, t, angles; |
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cv::solvePnP(mCalibData->objectPoints.back(), mCurrentImagePoints, tmpCamMatrix, mCalibData->distCoeffs, r, t); |
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RodriguesToEuler(r, angles, CALIB_DEGREES); |
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if(fabs(angles.at<double>(0)) > badAngleThresh || fabs(angles.at<double>(1)) > badAngleThresh) { |
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mCalibData->objectPoints.pop_back(); |
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mCalibData->imagePoints.pop_back(); |
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isFrameBad = true; |
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} |
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} |
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else { |
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#ifdef HAVE_OPENCV_ARUCO |
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cv::Mat r, t, angles; |
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std::vector<cv::Point3f> allObjPoints; |
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allObjPoints.reserve(mCurrentCharucoIds.total()); |
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for(size_t i = 0; i < mCurrentCharucoIds.total(); i++) { |
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int pointID = mCurrentCharucoIds.at<int>((int)i); |
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CV_Assert(pointID >= 0 && pointID < (int)mCharucoBoard->chessboardCorners.size()); |
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allObjPoints.push_back(mCharucoBoard->chessboardCorners[pointID]); |
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} |
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cv::solvePnP(allObjPoints, mCurrentCharucoCorners, tmpCamMatrix, mCalibData->distCoeffs, r, t); |
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RodriguesToEuler(r, angles, CALIB_DEGREES); |
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if(180.0 - fabs(angles.at<double>(0)) > badAngleThresh || fabs(angles.at<double>(1)) > badAngleThresh) { |
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isFrameBad = true; |
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mCalibData->allCharucoCorners.pop_back(); |
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mCalibData->allCharucoIds.pop_back(); |
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} |
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#endif |
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} |
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return isFrameBad; |
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} |
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CalibProcessor::CalibProcessor(cv::Ptr<calibrationData> data, captureParameters &capParams) : |
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mCalibData(data), mBoardType(capParams.board), mBoardSize(capParams.boardSize) |
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{ |
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mCapuredFrames = 0; |
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mNeededFramesNum = capParams.calibrationStep; |
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mDelayBetweenCaptures = static_cast<int>(capParams.captureDelay * capParams.fps); |
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mMaxTemplateOffset = std::sqrt(static_cast<float>(mCalibData->imageSize.height * mCalibData->imageSize.height) + |
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static_cast<float>(mCalibData->imageSize.width * mCalibData->imageSize.width)) / 20.0; |
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mSquareSize = capParams.squareSize; |
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mTemplDist = capParams.templDst; |
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switch(mBoardType) |
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{ |
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case chAruco: |
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#ifdef HAVE_OPENCV_ARUCO |
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mArucoDictionary = cv::aruco::getPredefinedDictionary( |
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cv::aruco::PREDEFINED_DICTIONARY_NAME(capParams.charucoDictName)); |
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mCharucoBoard = cv::aruco::CharucoBoard::create(mBoardSize.width, mBoardSize.height, capParams.charucoSquareLength, |
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capParams.charucoMarkerSize, mArucoDictionary); |
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#endif |
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break; |
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case AcirclesGrid: |
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mBlobDetectorPtr = cv::SimpleBlobDetector::create(); |
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break; |
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case DoubleAcirclesGrid: |
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mBlobDetectorPtr = cv::SimpleBlobDetector::create(getDetectorParams()); |
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break; |
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case Chessboard: |
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break; |
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} |
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} |
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cv::Mat CalibProcessor::processFrame(const cv::Mat &frame) |
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{ |
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cv::Mat frameCopy; |
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frame.copyTo(frameCopy); |
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bool isTemplateFound = false; |
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mCurrentImagePoints.clear(); |
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switch(mBoardType) |
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{ |
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case Chessboard: |
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isTemplateFound = detectAndParseChessboard(frameCopy); |
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break; |
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case chAruco: |
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isTemplateFound = detectAndParseChAruco(frameCopy); |
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break; |
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case AcirclesGrid: |
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isTemplateFound = detectAndParseACircles(frameCopy); |
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break; |
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case DoubleAcirclesGrid: |
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isTemplateFound = detectAndParseDualACircles(frameCopy); |
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break; |
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} |
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if(mTemplateLocations.size() > mDelayBetweenCaptures) |
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mTemplateLocations.pop_back(); |
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if(mTemplateLocations.size() == mDelayBetweenCaptures && isTemplateFound) { |
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if(cv::norm(mTemplateLocations.front() - mTemplateLocations.back()) < mMaxTemplateOffset) { |
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saveFrameData(); |
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bool isFrameBad = checkLastFrame(); |
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if (!isFrameBad) { |
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std::string displayMessage = cv::format("Frame # %zu captured", std::max(mCalibData->imagePoints.size(), |
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mCalibData->allCharucoCorners.size())); |
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if(!showOverlayMessage(displayMessage)) |
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showCaptureMessage(frame, displayMessage); |
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mCapuredFrames++; |
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} |
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else { |
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std::string displayMessage = "Frame rejected"; |
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if(!showOverlayMessage(displayMessage)) |
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showCaptureMessage(frame, displayMessage); |
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} |
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mTemplateLocations.clear(); |
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mTemplateLocations.reserve(mDelayBetweenCaptures); |
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} |
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} |
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return frameCopy; |
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} |
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bool CalibProcessor::isProcessed() const |
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{ |
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if(mCapuredFrames < mNeededFramesNum) |
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return false; |
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else |
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return true; |
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} |
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void CalibProcessor::resetState() |
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{ |
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mCapuredFrames = 0; |
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mTemplateLocations.clear(); |
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} |
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CalibProcessor::~CalibProcessor() |
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{ |
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} |
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//////////////////////////////////////////// |
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void ShowProcessor::drawBoard(cv::Mat &img, cv::InputArray points) |
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{ |
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cv::Mat tmpView = cv::Mat::zeros(img.rows, img.cols, CV_8UC3); |
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std::vector<cv::Point2f> templateHull; |
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std::vector<cv::Point> poly; |
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cv::convexHull(points, templateHull); |
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poly.resize(templateHull.size()); |
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for(size_t i=0; i<templateHull.size();i++) |
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poly[i] = cv::Point((int)(templateHull[i].x*mGridViewScale), (int)(templateHull[i].y*mGridViewScale)); |
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cv::fillConvexPoly(tmpView, poly, cv::Scalar(0, 255, 0), cv::LINE_AA); |
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cv::addWeighted(tmpView, .2, img, 1, 0, img); |
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} |
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void ShowProcessor::drawGridPoints(const cv::Mat &frame) |
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{ |
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if(mBoardType != chAruco) |
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for(std::vector<std::vector<cv::Point2f> >::iterator it = mCalibdata->imagePoints.begin(); it != mCalibdata->imagePoints.end(); ++it) |
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for(std::vector<cv::Point2f>::iterator pointIt = (*it).begin(); pointIt != (*it).end(); ++pointIt) |
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cv::circle(frame, *pointIt, POINT_SIZE, cv::Scalar(0, 255, 0), 1, cv::LINE_AA); |
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else |
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for(std::vector<cv::Mat>::iterator it = mCalibdata->allCharucoCorners.begin(); it != mCalibdata->allCharucoCorners.end(); ++it) |
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for(int i = 0; i < (*it).size[0]; i++) |
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cv::circle(frame, cv::Point((int)(*it).at<float>(i, 0), (int)(*it).at<float>(i, 1)), |
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POINT_SIZE, cv::Scalar(0, 255, 0), 1, cv::LINE_AA); |
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} |
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ShowProcessor::ShowProcessor(cv::Ptr<calibrationData> data, cv::Ptr<calibController> controller, TemplateType board) : |
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mCalibdata(data), mController(controller), mBoardType(board) |
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{ |
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mNeedUndistort = true; |
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mVisMode = Grid; |
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mGridViewScale = 0.5; |
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mTextSize = VIDEO_TEXT_SIZE; |
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} |
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cv::Mat ShowProcessor::processFrame(const cv::Mat &frame) |
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{ |
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if (!mCalibdata->cameraMatrix.empty() && !mCalibdata->distCoeffs.empty()) |
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{ |
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mTextSize = VIDEO_TEXT_SIZE * (double) frame.cols / IMAGE_MAX_WIDTH; |
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cv::Scalar textColor = cv::Scalar(0,0,255); |
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cv::Mat frameCopy; |
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if (mNeedUndistort && mController->getFramesNumberState()) { |
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if(mVisMode == Grid) |
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drawGridPoints(frame); |
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cv::remap(frame, frameCopy, mCalibdata->undistMap1, mCalibdata->undistMap2, cv::INTER_LINEAR); |
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int baseLine = 100; |
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cv::Size textSize = cv::getTextSize("Undistorted view", 1, mTextSize, 2, &baseLine); |
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cv::Point textOrigin(baseLine, frame.rows - (int)(2.5*textSize.height)); |
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cv::putText(frameCopy, "Undistorted view", textOrigin, 1, mTextSize, textColor, 2, cv::LINE_AA); |
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} |
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else { |
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frame.copyTo(frameCopy); |
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if(mVisMode == Grid) |
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drawGridPoints(frameCopy); |
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} |
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std::string displayMessage; |
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if(mCalibdata->stdDeviations.at<double>(0) == 0) |
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displayMessage = cv::format("F = %d RMS = %.3f", (int)mCalibdata->cameraMatrix.at<double>(0,0), mCalibdata->totalAvgErr); |
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else |
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displayMessage = cv::format("Fx = %d Fy = %d RMS = %.3f", (int)mCalibdata->cameraMatrix.at<double>(0,0), |
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(int)mCalibdata->cameraMatrix.at<double>(1,1), mCalibdata->totalAvgErr); |
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if(mController->getRMSState() && mController->getFramesNumberState()) |
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displayMessage.append(" OK"); |
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int baseLine = 100; |
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cv::Size textSize = cv::getTextSize(displayMessage, 1, mTextSize - 1, 2, &baseLine); |
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cv::Point textOrigin = cv::Point(baseLine, 2*textSize.height); |
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cv::putText(frameCopy, displayMessage, textOrigin, 1, mTextSize - 1, textColor, 2, cv::LINE_AA); |
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if(mCalibdata->stdDeviations.at<double>(0) == 0) |
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displayMessage = cv::format("DF = %.2f", mCalibdata->stdDeviations.at<double>(1)*sigmaMult); |
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else |
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displayMessage = cv::format("DFx = %.2f DFy = %.2f", mCalibdata->stdDeviations.at<double>(0)*sigmaMult, |
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mCalibdata->stdDeviations.at<double>(1)*sigmaMult); |
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if(mController->getConfidenceIntrervalsState() && mController->getFramesNumberState()) |
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displayMessage.append(" OK"); |
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cv::putText(frameCopy, displayMessage, cv::Point(baseLine, 4*textSize.height), 1, mTextSize - 1, textColor, 2, cv::LINE_AA); |
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if(mController->getCommonCalibrationState()) { |
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displayMessage = cv::format("Calibration is done"); |
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cv::putText(frameCopy, displayMessage, cv::Point(baseLine, 6*textSize.height), 1, mTextSize - 1, textColor, 2, cv::LINE_AA); |
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} |
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int calibFlags = mController->getNewFlags(); |
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displayMessage = ""; |
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if(!(calibFlags & cv::CALIB_FIX_ASPECT_RATIO)) |
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displayMessage.append(cv::format("AR=%.3f ", mCalibdata->cameraMatrix.at<double>(0,0)/mCalibdata->cameraMatrix.at<double>(1,1))); |
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if(calibFlags & cv::CALIB_ZERO_TANGENT_DIST) |
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displayMessage.append("TD=0 "); |
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displayMessage.append(cv::format("K1=%.2f K2=%.2f K3=%.2f", mCalibdata->distCoeffs.at<double>(0), mCalibdata->distCoeffs.at<double>(1), |
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mCalibdata->distCoeffs.at<double>(4))); |
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cv::putText(frameCopy, displayMessage, cv::Point(baseLine, frameCopy.rows - (int)(1.5*textSize.height)), |
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1, mTextSize - 1, textColor, 2, cv::LINE_AA); |
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return frameCopy; |
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} |
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return frame; |
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} |
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bool ShowProcessor::isProcessed() const |
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{ |
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return false; |
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} |
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void ShowProcessor::resetState() |
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{ |
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} |
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void ShowProcessor::setVisualizationMode(visualisationMode mode) |
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{ |
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mVisMode = mode; |
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} |
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void ShowProcessor::switchVisualizationMode() |
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{ |
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if(mVisMode == Grid) { |
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mVisMode = Window; |
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updateBoardsView(); |
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} |
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else { |
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mVisMode = Grid; |
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cv::destroyWindow(gridWindowName); |
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} |
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} |
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void ShowProcessor::clearBoardsView() |
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{ |
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cv::imshow(gridWindowName, cv::Mat()); |
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} |
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void ShowProcessor::updateBoardsView() |
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{ |
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if(mVisMode == Window) { |
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cv::Size originSize = mCalibdata->imageSize; |
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cv::Mat altGridView = cv::Mat::zeros((int)(originSize.height*mGridViewScale), (int)(originSize.width*mGridViewScale), CV_8UC3); |
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if(mBoardType != chAruco) |
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for(std::vector<std::vector<cv::Point2f> >::iterator it = mCalibdata->imagePoints.begin(); it != mCalibdata->imagePoints.end(); ++it) |
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if(mBoardType != DoubleAcirclesGrid) |
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drawBoard(altGridView, *it); |
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else { |
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size_t pointsNum = (*it).size()/2; |
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std::vector<cv::Point2f> points(pointsNum); |
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std::copy((*it).begin(), (*it).begin() + pointsNum, points.begin()); |
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drawBoard(altGridView, points); |
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std::copy((*it).begin() + pointsNum, (*it).begin() + 2*pointsNum, points.begin()); |
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drawBoard(altGridView, points); |
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} |
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else |
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for(std::vector<cv::Mat>::iterator it = mCalibdata->allCharucoCorners.begin(); it != mCalibdata->allCharucoCorners.end(); ++it) |
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drawBoard(altGridView, *it); |
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cv::imshow(gridWindowName, altGridView); |
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} |
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} |
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void ShowProcessor::switchUndistort() |
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{ |
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mNeedUndistort = !mNeedUndistort; |
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} |
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void ShowProcessor::setUndistort(bool isEnabled) |
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{ |
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mNeedUndistort = isEnabled; |
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} |
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ShowProcessor::~ShowProcessor() |
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{ |
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}
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