Shrink install lines

blocks: install programs directory
aruco_pose: install library file
2026-06-01 07:29:32 +00:00 · 2021-06-09 13:43:58 +03:00 · 2021-06-09 13:40:58 +03:00 · 2021-06-09 13:34:09 +03:00 · 2021-06-09 13:28:49 +03:00 · 2021-06-09 13:27:16 +03:00
94 changed files with 1134 additions and 1011 deletions
--- a/.github/workflows/build.yml
+++ b/.github/workflows/build.yml
@@ -14,3 +14,10 @@ jobs:
      - name: Native Melodic build
        run: |
          docker run --rm -v $(pwd):/root/catkin_ws/src/clover ros:melodic-ros-base /root/catkin_ws/src/clover/builder/standalone-install.sh
+  build-noetic:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v2
+      - name: Native Noetic build
+        run: |
+          docker run --rm -v $(pwd):/root/catkin_ws/src/clover ros:noetic-ros-base /root/catkin_ws/src/clover/builder/standalone-install.sh
--- a/.github/workflows/monitor.yaml
+++ b/.github/workflows/monitor.yaml
@@ -1,32 +0,0 @@
-name: Monitor
-
-on:
-  schedule:
-    - cron: '0 0 * * *' # At 00:00 every day
-  workflow_dispatch:
-
-jobs:
-  check-urls:
-    runs-on: ubuntu-latest
-    steps:
-      - name: Check website links accessibility
-        run: |
-          curl -ILf https://clover.coex.tech
-          curl -ILf https://clover.coex.tech/clover_en.pdf
-          curl -ILf https://clover.coex.tech/clover_ru.pdf
-          curl -ILf https://clover.coex.tech/connection
-          curl -ILf https://clover.coex.tech/aruco
-          curl -ILf https://clover.coex.tech/programming
-          curl -ILf https://clover.coex.tech/led
-          curl -ILf https://clover.coex.tech/en/snippets.html
-          curl -ILf https://clover.coex.tech/en/simulation.html
-          curl -ILf https://clover.coex.tech/aruco
-          curl -ILf https://clover.coex.tech/led
-          curl -ILf https://clover.coex.tech/camera_setup
-          curl -ILf https://clover.coex.tech/firmware
-          curl -ILf https://clover.coex.tech/power
-          curl -ILf https://clover.coex.tech/hostname
-          curl -ILf https://clover.coex.tech/en/blocks.html
-          curl -ILf https://clover.coex.tech/en/gpio.html
-          curl -ILf https://clover.coex.tech/en/leds.html
-          curl -ILf https://clover.coex.tech/en/simple_offboard.html
--- a/.markdownlint.json
+++ b/.markdownlint.json
@@ -21,6 +21,7 @@
            "ROS",
            "ROS Kinetic",
            "ROS Melodic",
+            "ROS Noetic",
            "OpenCV",
            "OpenVPN",
            "Gazebo",
--- a/README.md
+++ b/README.md
@@ -26,7 +26,7 @@ Preconfigured image for Raspberry Pi with installed and configured software, rea
 Image features:

 * Raspbian Buster
-* [ROS Melodic](http://wiki.ros.org/melodic)
+* [ROS Noetic](http://wiki.ros.org/noetic)
 * Configured networking
 * OpenCV
 * [`mavros`](http://wiki.ros.org/mavros)
--- a/aruco_pose/CMakeLists.txt
+++ b/aruco_pose/CMakeLists.txt
@@ -22,13 +22,21 @@ find_package(catkin REQUIRED COMPONENTS
  dynamic_reconfigure
 )

-find_package(OpenCV 3 REQUIRED COMPONENTS core imgproc calib3d)
+# Workaround for OpenCV 3/4 support
+set(_opencv_version 4)
+find_package(OpenCV ${_opencv_version} QUIET COMPONENTS core imgproc calib3d)
+if (NOT OpenCV_FOUND)
+  message(STATUS "Did not find OpenCV 4, searching for OpenCV 3")
+  set(_opencv_version 3)
+endif()
+
+find_package(OpenCV ${_opencv_version} REQUIRED COMPONENTS core imgproc calib3d)
 if ("${OpenCV_VERSION_MINOR}" LESS "9")
  message(STATUS "OpenCV version too low, using vendored ArUco package")
  include(vendor/VendorOpenCV.cmake)
 else()
  message(STATUS "Using system OpenCV ArUco package")
-  find_package(OpenCV 3 REQUIRED COMPONENTS aruco)
+  find_package(OpenCV ${_opencv_version} REQUIRED COMPONENTS aruco)
 endif()
 message(STATUS "OpenCV include dirs: ${OpenCV_INCLUDE_DIRS}")
 message(STATUS "OpenCV libraries: ${OpenCV_LIBRARIES}")
@@ -172,6 +180,13 @@ target_link_libraries(aruco_pose
  ${OpenCV_LIBRARIES}
 )

+# Prevent aruco_pose from having undefined symbols
+set_property(TARGET aruco_pose
+  APPEND
+  PROPERTY LINK_FLAGS
+  -Wl,--no-undefined
+)
+
 #############
 ## Install ##
 #############
@@ -187,11 +202,11 @@ target_link_libraries(aruco_pose
 # )

 ## Mark executables and/or libraries for installation
-# install(TARGETS ${PROJECT_NAME} ${PROJECT_NAME}_node
-#   ARCHIVE DESTINATION ${CATKIN_PACKAGE_LIB_DESTINATION}
-#   LIBRARY DESTINATION ${CATKIN_PACKAGE_LIB_DESTINATION}
-#   RUNTIME DESTINATION ${CATKIN_PACKAGE_BIN_DESTINATION}
-# )
+install(TARGETS ${PROJECT_NAME}
+  ARCHIVE DESTINATION ${CATKIN_PACKAGE_LIB_DESTINATION}
+  LIBRARY DESTINATION ${CATKIN_PACKAGE_LIB_DESTINATION}
+  RUNTIME DESTINATION ${CATKIN_PACKAGE_BIN_DESTINATION}
+)

 ## Mark cpp header files for installation
 # install(DIRECTORY include/${PROJECT_NAME}/
@@ -207,6 +222,14 @@ target_link_libraries(aruco_pose
 #   DESTINATION ${CATKIN_PACKAGE_SHARE_DESTINATION}
 # )

+catkin_install_python(PROGRAMS src/genmap.py
+  DESTINATION ${CATKIN_PACKAGE_BIN_DESTINATION}
+)
+
+install(DIRECTORY launch DESTINATION ${CATKIN_PACKAGE_SHARE_DESTINATION})
+
+install(DIRECTORY map DESTINATION ${CATKIN_PACKAGE_SHARE_DESTINATION})
+
 #############
 ## Testing ##
 #############
--- a/aruco_pose/src/aruco_detect.cpp
+++ b/aruco_pose/src/aruco_detect.cpp
@@ -111,17 +111,14 @@ public:
 		image_transport::ImageTransport it(nh_);
 		image_transport::ImageTransport it_priv(nh_priv_);

-		map_markers_sub_ = nh_.subscribe("map_markers", 1, &ArucoDetect::mapMarkersCallback, this);
+		dyn_srv_ = std::make_shared<dynamic_reconfigure::Server<aruco_pose::DetectorConfig>>(nh_priv_);
+		dyn_srv_->setCallback(std::bind(&ArucoDetect::paramCallback, this, std::placeholders::_1, std::placeholders::_2));
+
 		debug_pub_ = it_priv.advertise("debug", 1);
 		markers_pub_ = nh_priv_.advertise<aruco_pose::MarkerArray>("markers", 1);
 		vis_markers_pub_ = nh_priv_.advertise<visualization_msgs::MarkerArray>("visualization", 1);
 		img_sub_ = it.subscribeCamera("image_raw", 1, &ArucoDetect::imageCallback, this);
-
-		dyn_srv_ = std::make_shared<dynamic_reconfigure::Server<aruco_pose::DetectorConfig>>(nh_priv_);
-		dynamic_reconfigure::Server<aruco_pose::DetectorConfig>::CallbackType cb;
-
-		cb = std::bind(&ArucoDetect::paramCallback, this, std::placeholders::_1, std::placeholders::_2);
-		dyn_srv_->setCallback(cb);
+		map_markers_sub_ = nh_.subscribe("map_markers", 1, &ArucoDetect::mapMarkersCallback, this);

 		NODELET_INFO("ready");
 	}
--- a/aruco_pose/src/aruco_map.cpp
+++ b/aruco_pose/src/aruco_map.cpp
@@ -124,6 +124,11 @@ public:
 		vis_markers_pub_ = nh_priv_.advertise<visualization_msgs::MarkerArray>("visualization", 1, true);
 		debug_pub_ = it_priv.advertise("debug", 1);

+		publishMarkersFrames();
+		publishMarkers();
+		publishMapImage();
+		vis_markers_pub_.publish(vis_array_);
+
 		image_sub_.subscribe(nh_, "image_raw", 1);
 		info_sub_.subscribe(nh_, "camera_info", 1);
 		markers_sub_.subscribe(nh_, "markers", 1);
@@ -131,11 +136,6 @@ public:
 		sync_.reset(new message_filters::Synchronizer<SyncPolicy>(SyncPolicy(10), image_sub_, info_sub_, markers_sub_));
 		sync_->registerCallback(boost::bind(&ArucoMap::callback, this, _1, _2, _3));

-		publishMarkersFrames();
-		publishMarkers();
-		publishMapImage();
-		vis_markers_pub_.publish(vis_array_);
-
 		NODELET_INFO("ready");
 	}

--- a/aruco_pose/src/draw.cpp
+++ b/aruco_pose/src/draw.cpp
@@ -3,26 +3,11 @@

 #include "draw.h"
 #include <math.h>
+#include <vector>

 using namespace cv;
 using namespace cv::aruco;

-static void _cvProjectPoints2( const CvMat* object_points, const CvMat* rotation_vector,
-                       const CvMat* translation_vector, const CvMat* camera_matrix,
-                       const CvMat* distortion_coeffs, CvMat* image_points,
-                       CvMat* dpdrot CV_DEFAULT(NULL), CvMat* dpdt CV_DEFAULT(NULL),
-                       CvMat* dpdf CV_DEFAULT(NULL), CvMat* dpdc CV_DEFAULT(NULL),
-                       CvMat* dpddist CV_DEFAULT(NULL),
-                       double aspect_ratio CV_DEFAULT(0));
-
-static void _projectPoints( InputArray objectPoints,
-                    InputArray rvec, InputArray tvec,
-                    InputArray cameraMatrix, InputArray distCoeffs,
-                    OutputArray imagePoints,
-                    OutputArray jacobian = noArray(),
-                    double aspectRatio = 0 );
-
-
 void _drawPlanarBoard(Board *_board, Size outSize, OutputArray _img, int marginSize,
                      int borderBits, bool drawAxis) {

@@ -142,35 +127,194 @@ void _drawPlanarBoard(Board *_board, Size outSize, OutputArray _img, int marginS
 	}
 }

-/* Draw a (potentially partially visible) line. */
-static void linePartial(InputOutputArray image, Point3f p1, Point3f p2, const Scalar& color,
-                        int thickness = 1, int lineType = LINE_8, int shift = 0)
+/**
+ * @brief Convert point coordinates from world space to camera space.
+ *
+ * @param points A vector of points in world space.
+ * @param rvec Rotation matrix or Rodrigues rotation vector.
+ * @param tvec Translation vector from world to camera space.
+ *
+ * @return A vector of points in camera space.
+ */
+template<typename CvPointType>
+static std::vector<CvPointType> worldToCamera(const std::vector<CvPointType>& points,
+                                              const cv::Mat& rvec, const cv::Mat& tvec)
 {
-	// If both points are behind the screen, don't draw anything
-	if (p1.z <= 0 && p2.z <= 0) {
-		return;
+	// We operate with CV_64F matrices internally to avoid precision loss
+	cv::Mat rvec_64f;
+	cv::Mat tvec_64f;
+	rvec.convertTo(rvec_64f, CV_64F);
+	tvec.convertTo(tvec_64f, CV_64F);
+
+	// Convert Rodrigues vector to rotation matrix
+	cv::Mat rmat;
+	if ((rvec_64f.cols == 3 && rvec_64f.rows == 1) ||
+	    (rvec_64f.cols == 1 && rvec_64f.rows == 3))
+	{
+		Rodrigues(rvec_64f, rmat);
 	}
-	Point2f p1p{p1.x, p1.y};
-	Point2f p2p{p2.x, p2.y};
-	// If points are on the different sides of the plane, compute intersection point
-	if (p1.z * p2.z < 0) {
-		// Compute intersection point with the screen
-		// We denote alpha as such:
-		// xi = (1 - alpha) * x1 + alpha * x2
-		// yi = (1 - alpha) * y1 + alpha * y2
-		// zi = (1 - alpha) * z1 + alpha * z2 = 0
-		// Thus, alpha can be expressed as
-		// alpha = z1 / (z1 - z2)
-		float alpha = p1.z / (p1.z - p2.z);
-		Point2f pi{(1 - alpha) * p1.x + alpha * p2.x, (1 - alpha) * p1.y + alpha * p2.y};
-		// Now, if z1 is negative, we draw the line from (xi, yi) to (x2, y2), else we draw from (x1, y1) to (xi, yi)
-		if (p1.z < 0) {
-			p1p = pi;
-		} else {
-			p2p = pi;
-		}
+	else
+	{
+		rmat = rvec_64f.clone();
 	}
-	line(image, p1p, p2p, color, thickness, lineType, shift);
+	// Make sure tvec has a size of (3, 1)
+	if (tvec_64f.rows == 1)
+	{
+		tvec_64f = tvec_64f.t();
+	}
+	std::vector<CvPointType> result;
+	result.reserve(points.size());
+	for(const auto& point : points)
+	{
+		// Calculate point coordinates in camera frame
+		// static_casts are here to silence potential narrowing conversion warnings
+		CvPointType camPoint{
+			static_cast<decltype(CvPointType::x)>(point.x * rmat.at<double>(0,0) + point.y * rmat.at<double>(0,1) + point.z * rmat.at<double>(0,2) + tvec_64f.at<double>(0)),
+			static_cast<decltype(CvPointType::y)>(point.x * rmat.at<double>(1,0) + point.y * rmat.at<double>(1,1) + point.z * rmat.at<double>(1,2) + tvec_64f.at<double>(1)),
+			static_cast<decltype(CvPointType::z)>(point.x * rmat.at<double>(2,0) + point.y * rmat.at<double>(2,1) + point.z * rmat.at<double>(2,2) + tvec_64f.at<double>(2))
+		};
+		result.push_back(camPoint);
+	}
+	return result;
+}
+
+/**
+ * @brief Project points from camera space to screen space, applying distortion in the process.
+ *
+ * @param points A vector of points in camera space.
+ * @param cameraMatrix OpenCV intrinsic camera matrix.
+ * @param distCoeffs OpenCV distortion model coefficients.
+ *
+ * @return A vector of points in screen space.
+ */
+template<typename CvPointType>
+static std::vector<CvPointType> cameraToScreen(const std::vector<CvPointType>& points,
+                                               const cv::Mat& cameraMatrix,
+                                               const cv::Mat& distCoeffs)
+{
+	// We operate with CV_64F matrices internally to avoid precision loss
+	cv::Mat cm_64f; // camera matrix, CV_64F
+	cv::Mat dc_64f; // distortion coefficients, CV_64F
+	cameraMatrix.convertTo(cm_64f, CV_64F);
+	distCoeffs.convertTo(dc_64f, CV_64F);
+
+	// Make sure distortion vector has a size of (N, 1)
+	if (dc_64f.rows == 1)
+	{
+		dc_64f = dc_64f.t();
+	}
+
+	// We will always use 12 distortion coefficients,
+	// and we can safely pad missing ones with zeroes
+	dc_64f.resize(12, 0.0);
+
+	std::vector<CvPointType> result;
+	result.reserve(points.size());
+
+	for(const auto& point : points)
+	{
+		// Apply perspective projection, preserving initial Z coordinate
+		// Always use double-precision
+		cv::Point3d camPoint{
+			point.x / point.z,
+			point.y / point.z,
+			point.z
+		};
+
+		// Apply distortion
+		// Note that we do not consider tilted sensor distortion
+		// r^2 - distance from the image center squared
+		double r2 = camPoint.x * camPoint.x + camPoint.y * camPoint.y;
+		// r^4 - same, but to the 4th power
+		double r4 = r2 * r2;
+		// r^6 - same, but to the 6th power
+		double r6 = r4 * r2;
+		// tg1 - first tangential shift factor (2 * x * y)
+		double tg1 = 2 * camPoint.x * camPoint.y;
+		// tg2 - second tangential shift factor (r^2 + 2 * x^2)
+		double tg2 = r2 + 2 * camPoint.x * camPoint.x;
+		// tg3 - third tangential shift factor (r^2 + 2 * y^2)
+		double tg3 = r2 + 2 * camPoint.y * camPoint.y;
+		// polynomial distortion factor (numerator)
+		double pndist = 1 + dc_64f.at<double>(0) * r2 + dc_64f.at<double>(1) * r4 + dc_64f.at<double>(4) * r6;
+		// polynomial distortion factror (denominator)
+		double pddist = 1.0 / (1 + dc_64f.at<double>(5) * r2 + dc_64f.at<double>(6) * r4 + dc_64f.at<double>(7) * r6);
+		// Distorted point coordinates (always double-precision)
+		cv::Point3d distortedPoint{
+			camPoint.x * pndist * pddist + dc_64f.at<double>(2) * tg1 + dc_64f.at<double>(3) * tg2 + dc_64f.at<double>(8) * r2 + dc_64f.at<double>(9) * r4,
+			camPoint.y * pndist * pddist + dc_64f.at<double>(2) * tg3 + dc_64f.at<double>(3) * tg1 + dc_64f.at<double>(10) * r2 + dc_64f.at<double>(11) * r4,
+			camPoint.z
+		};
+
+		// Convert to screen space
+		// We use static_cast here to silence potential warnings about narrowing conversions
+		// (we expect that to be the case)
+		CvPointType screenPoint{
+			static_cast<decltype(CvPointType::x)>(distortedPoint.x * cm_64f.at<double>(0, 0) + cm_64f.at<double>(0, 2)),
+			static_cast<decltype(CvPointType::y)>(distortedPoint.y * cm_64f.at<double>(1, 1) + cm_64f.at<double>(1, 2)),
+			static_cast<decltype(CvPointType::z)>(distortedPoint.z)
+		};
+
+		result.push_back(screenPoint);
+	}
+	return result;
+}
+
+/**
+ * @brief Clip a line against a clip plane.
+ *
+ * This function "clips" a line (described by two points in *camera space*)
+ * against a clip plane that is `clipPlaneDistance` meters away from the
+ * camera focal point. If both points are further away from the focal point
+ * than `clipPlaneDistance`, they will be returned unmodified. If one of the
+ * points is behind the clipping plane, a point *on* the clipping plane will
+ * be computed and returned as one of the points.
+ *
+ * If none of the points are visible, an empty vector will be returned.
+ *
+ * @param p1 First point on the line, in camera space.
+ * @param p2 Second point on the line, in camera space.
+ * @param clipPlaneDistance Distance from the focal point to the clipping plane.
+ * @return A vector of zero or two points on the clipped line, in camera space.
+ */
+static std::vector<Point3f> lineClip(Point3f p1, Point3f p2, float clipPlaneDistance = 0.1f)
+{
+	// We don't need to compute an intersection if both points are
+	// behind us
+	if (p1.z < clipPlaneDistance && p2.z < clipPlaneDistance)
+	{
+		return {};
+	}
+	// We don't need to compute an intersection if both points are
+	// in front of us
+	if (p1.z > clipPlaneDistance && p2.z > clipPlaneDistance)
+	{
+		return {p1, p2};
+	}
+	// We don't really want to compute an intersection if both Z coordinates
+	// are sufficiently close to each other
+	if (std::abs(p1.z - p2.z) < 0.0001) // The number here is chosen arbitrarily
+	{
+		return {p1, p2};
+	}
+	// We compute the intersection as such:
+	// zi = (1 - alpha) * p1.z + alpha * p2.z = clipPlaneDistance
+	// alpha = (p1.z - clipPlaneDistance) / (p1.z - p2.z)
+	double alpha = (p1.z - clipPlaneDistance) / (p1.z - p2.z);
+	Point3f clipPlanePoint{
+		static_cast<float>((1 - alpha) * p1.x + alpha * p2.x),
+		static_cast<float>((1 - alpha) * p1.y + alpha * p2.y),
+		clipPlaneDistance
+	};
+	if (p1.z < clipPlaneDistance)
+	{
+		return {clipPlanePoint, p2};
+	}
+	else
+	{
+		return {p1, clipPlanePoint};
+	}
+	// Unreachable?
 }

 void _drawAxis(InputOutputArray _image, InputArray _cameraMatrix, InputArray _distCoeffs,
@@ -186,647 +330,23 @@ void _drawAxis(InputOutputArray _image, InputArray _cameraMatrix, InputArray _di
 	axisPoints.push_back(Point3f(length, 0, 0));
 	axisPoints.push_back(Point3f(0, length, 0));
 	axisPoints.push_back(Point3f(0, 0, length));
-	std::vector<Point3f> imagePointsZ;
-	_projectPoints(axisPoints, _rvec, _tvec, _cameraMatrix, _distCoeffs, imagePointsZ);
-
-	// draw axis lines
-	linePartial(_image, imagePointsZ[0], imagePointsZ[1], Scalar(0, 0, 255), 3);
-	linePartial(_image, imagePointsZ[0], imagePointsZ[2], Scalar(0, 255, 0), 3);
-	linePartial(_image, imagePointsZ[0], imagePointsZ[3], Scalar(255, 0, 0), 3);
-}
-
-static CvMat _cvMat(const cv::Mat& m)
-{
-	CvMat self;
-	CV_DbgAssert(m.dims <= 2);
-	self = cvMat(m.rows, m.dims == 1 ? 1 : m.cols, m.type(), m.data);
-	self.step = (int)m.step[0];
-	self.type = (self.type & ~cv::Mat::CONTINUOUS_FLAG) | (m.flags & cv::Mat::CONTINUOUS_FLAG);
-	return self;
-}
-
-static void _projectPoints( InputArray _opoints,
-                        InputArray _rvec,
-                        InputArray _tvec,
-                        InputArray _cameraMatrix,
-                        InputArray _distCoeffs,
-                        OutputArray _ipoints,
-                        OutputArray _jacobian,
-                        double aspectRatio )
-{
-	Mat opoints = _opoints.getMat();
-	int npoints = opoints.checkVector(3), depth = opoints.depth();
-	CV_Assert(npoints >= 0 && (depth == CV_32F || depth == CV_64F));
-
-	CvMat dpdrot, dpdt, dpdf, dpdc, dpddist;
-	CvMat *pdpdrot = 0, *pdpdt = 0, *pdpdf = 0, *pdpdc = 0, *pdpddist = 0;
-
-	CV_Assert(_ipoints.needed());
-
-	_ipoints.create(npoints, 1, CV_MAKETYPE(depth, 3), -1, true);
-	Mat imagePoints = _ipoints.getMat();
-	CvMat c_imagePoints = _cvMat(imagePoints);
-	CvMat c_objectPoints = _cvMat(opoints);
-	Mat cameraMatrix = _cameraMatrix.getMat();
-
-	Mat rvec = _rvec.getMat(), tvec = _tvec.getMat();
-	CvMat c_cameraMatrix = _cvMat(cameraMatrix);
-	CvMat c_rvec = _cvMat(rvec), c_tvec = _cvMat(tvec);
-
-	double dc0buf[5] = {0};
-	Mat dc0(5, 1, CV_64F, dc0buf);
-	Mat distCoeffs = _distCoeffs.getMat();
-	if (distCoeffs.empty())
-		distCoeffs = dc0;
-	CvMat c_distCoeffs = _cvMat(distCoeffs);
-	int ndistCoeffs = distCoeffs.rows + distCoeffs.cols - 1;
-
-	Mat jacobian;
-	if (_jacobian.needed())
+	auto camAxisPoints = worldToCamera(axisPoints, _rvec.getMat(), _tvec.getMat());
+	auto axisX = cameraToScreen(lineClip(camAxisPoints[0], camAxisPoints[1]), _cameraMatrix.getMat(), _distCoeffs.getMat());
+	auto axisY = cameraToScreen(lineClip(camAxisPoints[0], camAxisPoints[2]), _cameraMatrix.getMat(), _distCoeffs.getMat());
+	auto axisZ = cameraToScreen(lineClip(camAxisPoints[0], camAxisPoints[3]), _cameraMatrix.getMat(), _distCoeffs.getMat());
+	if (axisX.size() > 0)
 	{
-		_jacobian.create(npoints * 2, 3 + 3 + 2 + 2 + ndistCoeffs, CV_64F);
-		jacobian = _jacobian.getMat();
-		pdpdrot = &(dpdrot = _cvMat(jacobian.colRange(0, 3)));
-		pdpdt = &(dpdt = _cvMat(jacobian.colRange(3, 6)));
-		pdpdf = &(dpdf = _cvMat(jacobian.colRange(6, 8)));
-		pdpdc = &(dpdc = _cvMat(jacobian.colRange(8, 10)));
-		pdpddist = &(dpddist = _cvMat(jacobian.colRange(10, 10 + ndistCoeffs)));
+		line(_image, Point2f{axisX[0].x, axisX[0].y}, Point2f{axisX[1].x, axisX[1].y},
+			Scalar(0, 0, 255), 3);
+	}
+	if (axisY.size() > 0)
+	{
+		line(_image, Point2f{axisY[0].x, axisY[0].y}, Point2f{axisY[1].x, axisY[1].y},
+			Scalar(0, 255, 0), 3);
+	}
+	if (axisZ.size() > 0)
+	{
+		line(_image, Point2f{axisZ[0].x, axisZ[0].y}, Point2f{axisZ[1].x, axisZ[1].y},
+			Scalar(255, 0, 0), 3);
 	}
-
-	_cvProjectPoints2(&c_objectPoints, &c_rvec, &c_tvec, &c_cameraMatrix, &c_distCoeffs,
-					  &c_imagePoints, pdpdrot, pdpdt, pdpdf, pdpdc, pdpddist, aspectRatio);
-}
-
-namespace _detail
-{
-    template <typename FLOAT>
-    void computeTiltProjectionMatrix(FLOAT tauX,
-                                     FLOAT tauY,
-                                     Matx<FLOAT, 3, 3>* matTilt = 0,
-                                     Matx<FLOAT, 3, 3>* dMatTiltdTauX = 0,
-                                     Matx<FLOAT, 3, 3>* dMatTiltdTauY = 0,
-                                     Matx<FLOAT, 3, 3>* invMatTilt = 0)
-    {
-        FLOAT cTauX = cos(tauX);
-        FLOAT sTauX = sin(tauX);
-        FLOAT cTauY = cos(tauY);
-        FLOAT sTauY = sin(tauY);
-        Matx<FLOAT, 3, 3> matRotX = Matx<FLOAT, 3, 3>(1,0,0,0,cTauX,sTauX,0,-sTauX,cTauX);
-        Matx<FLOAT, 3, 3> matRotY = Matx<FLOAT, 3, 3>(cTauY,0,-sTauY,0,1,0,sTauY,0,cTauY);
-        Matx<FLOAT, 3, 3> matRotXY = matRotY * matRotX;
-        Matx<FLOAT, 3, 3> matProjZ = Matx<FLOAT, 3, 3>(matRotXY(2,2),0,-matRotXY(0,2),0,matRotXY(2,2),-matRotXY(1,2),0,0,1);
-        if (matTilt)
-        {
-            // Matrix for trapezoidal distortion of tilted image sensor
-            *matTilt = matProjZ * matRotXY;
-        }
-        if (dMatTiltdTauX)
-        {
-            // Derivative with respect to tauX
-            Matx<FLOAT, 3, 3> dMatRotXYdTauX = matRotY * Matx<FLOAT, 3, 3>(0,0,0,0,-sTauX,cTauX,0,-cTauX,-sTauX);
-            Matx<FLOAT, 3, 3> dMatProjZdTauX = Matx<FLOAT, 3, 3>(dMatRotXYdTauX(2,2),0,-dMatRotXYdTauX(0,2),
-                                                                 0,dMatRotXYdTauX(2,2),-dMatRotXYdTauX(1,2),0,0,0);
-            *dMatTiltdTauX = (matProjZ * dMatRotXYdTauX) + (dMatProjZdTauX * matRotXY);
-        }
-        if (dMatTiltdTauY)
-        {
-            // Derivative with respect to tauY
-            Matx<FLOAT, 3, 3> dMatRotXYdTauY = Matx<FLOAT, 3, 3>(-sTauY,0,-cTauY,0,0,0,cTauY,0,-sTauY) * matRotX;
-            Matx<FLOAT, 3, 3> dMatProjZdTauY = Matx<FLOAT, 3, 3>(dMatRotXYdTauY(2,2),0,-dMatRotXYdTauY(0,2),
-                                                                 0,dMatRotXYdTauY(2,2),-dMatRotXYdTauY(1,2),0,0,0);
-            *dMatTiltdTauY = (matProjZ * dMatRotXYdTauY) + (dMatProjZdTauY * matRotXY);
-        }
-        if (invMatTilt)
-        {
-            FLOAT inv = 1./matRotXY(2,2);
-            Matx<FLOAT, 3, 3> invMatProjZ = Matx<FLOAT, 3, 3>(inv,0,inv*matRotXY(0,2),0,inv,inv*matRotXY(1,2),0,0,1);
-            *invMatTilt = matRotXY.t()*invMatProjZ;
-        }
-    }
-}
-
-static const char* cvDistCoeffErr = "Distortion coefficients must be 1x4, 4x1, 1x5, 5x1, 1x8, 8x1, 1x12, 12x1, 1x14 or 14x1 floating-point vector";
-
-static void _cvProjectPoints2Internal( const CvMat* objectPoints,
-                                      const CvMat* r_vec,
-                                      const CvMat* t_vec,
-                                      const CvMat* A,
-                                      const CvMat* distCoeffs,
-                                      CvMat* imagePoints, CvMat* dpdr CV_DEFAULT(NULL),
-                                      CvMat* dpdt CV_DEFAULT(NULL), CvMat* dpdf CV_DEFAULT(NULL),
-                                      CvMat* dpdc CV_DEFAULT(NULL), CvMat* dpdk CV_DEFAULT(NULL),
-                                      CvMat* dpdo CV_DEFAULT(NULL),
-                                      double aspectRatio CV_DEFAULT(0) )
-{
-    Ptr<CvMat> matM, _m;
-    Ptr<CvMat> _dpdr, _dpdt, _dpdc, _dpdf, _dpdk;
-    Ptr<CvMat> _dpdo;
-
-    int i, j, count;
-    int calc_derivatives;
-    const CvPoint3D64f* M;
-    CvPoint3D64f* m;
-    double r[3], R[9], dRdr[27], t[3], a[9], k[14] = {0,0,0,0,0,0,0,0,0,0,0,0,0,0}, fx, fy, cx, cy;
-    Matx33d matTilt = Matx33d::eye();
-    Matx33d dMatTiltdTauX(0,0,0,0,0,0,0,-1,0);
-    Matx33d dMatTiltdTauY(0,0,0,0,0,0,1,0,0);
-    CvMat _r, _t, _a = cvMat( 3, 3, CV_64F, a ), _k;
-    CvMat matR = cvMat( 3, 3, CV_64F, R ), _dRdr = cvMat( 3, 9, CV_64F, dRdr );
-    double *dpdr_p = 0, *dpdt_p = 0, *dpdk_p = 0, *dpdf_p = 0, *dpdc_p = 0;
-    double* dpdo_p = 0;
-    int dpdr_step = 0, dpdt_step = 0, dpdk_step = 0, dpdf_step = 0, dpdc_step = 0;
-    int dpdo_step = 0;
-    bool fixedAspectRatio = aspectRatio > FLT_EPSILON;
-
-    if( !CV_IS_MAT(objectPoints) || !CV_IS_MAT(r_vec) ||
-        !CV_IS_MAT(t_vec) || !CV_IS_MAT(A) ||
-        /*!CV_IS_MAT(distCoeffs) ||*/ !CV_IS_MAT(imagePoints) )
-        CV_Error( CV_StsBadArg, "One of required arguments is not a valid matrix" );
-
-    int total = objectPoints->rows * objectPoints->cols * CV_MAT_CN(objectPoints->type);
-    if(total % 3 != 0)
-    {
-        //we have stopped support of homogeneous coordinates because it cause ambiguity in interpretation of the input data
-        CV_Error( CV_StsBadArg, "Homogeneous coordinates are not supported" );
-    }
-    count = total / 3;
-
-    if( CV_IS_CONT_MAT(objectPoints->type) &&
-        (CV_MAT_DEPTH(objectPoints->type) == CV_32F || CV_MAT_DEPTH(objectPoints->type) == CV_64F)&&
-        ((objectPoints->rows == 1 && CV_MAT_CN(objectPoints->type) == 3) ||
-         (objectPoints->rows == count && CV_MAT_CN(objectPoints->type)*objectPoints->cols == 3) ||
-         (objectPoints->rows == 3 && CV_MAT_CN(objectPoints->type) == 1 && objectPoints->cols == count)))
-    {
-        matM.reset(cvCreateMat( objectPoints->rows, objectPoints->cols, CV_MAKETYPE(CV_64F,CV_MAT_CN(objectPoints->type)) ));
-        cvConvert(objectPoints, matM);
-    }
-    else
-    {
-//        matM = cvCreateMat( 1, count, CV_64FC3 );
-//        cvConvertPointsHomogeneous( objectPoints, matM );
-        CV_Error( CV_StsBadArg, "Homogeneous coordinates are not supported" );
-    }
-
-    if( CV_IS_CONT_MAT(imagePoints->type) &&
-        (CV_MAT_DEPTH(imagePoints->type) == CV_32F || CV_MAT_DEPTH(imagePoints->type) == CV_64F) &&
-        ((imagePoints->rows == 1 && CV_MAT_CN(imagePoints->type) == 3) ||
-         (imagePoints->rows == count && CV_MAT_CN(imagePoints->type)*imagePoints->cols == 3) ||
-         (imagePoints->rows == 3 && CV_MAT_CN(imagePoints->type) == 1 && imagePoints->cols == count)))
-    {
-        _m.reset(cvCreateMat( imagePoints->rows, imagePoints->cols, CV_MAKETYPE(CV_64F,CV_MAT_CN(imagePoints->type)) ));
-        cvConvert(imagePoints, _m);
-    }
-    else
-    {
-//        _m = cvCreateMat( 1, count, CV_64FC2 );
-        CV_Error( CV_StsBadArg, "Homogeneous coordinates are not supported" );
-    }
-
-    M = (CvPoint3D64f*)matM->data.db;
-    m = (CvPoint3D64f*)_m->data.db;
-
-    if( (CV_MAT_DEPTH(r_vec->type) != CV_64F && CV_MAT_DEPTH(r_vec->type) != CV_32F) ||
-        (((r_vec->rows != 1 && r_vec->cols != 1) ||
-          r_vec->rows*r_vec->cols*CV_MAT_CN(r_vec->type) != 3) &&
-         ((r_vec->rows != 3 && r_vec->cols != 3) || CV_MAT_CN(r_vec->type) != 1)))
-        CV_Error( CV_StsBadArg, "Rotation must be represented by 1x3 or 3x1 "
-                                "floating-point rotation vector, or 3x3 rotation matrix" );
-
-    if( r_vec->rows == 3 && r_vec->cols == 3 )
-    {
-        _r = cvMat( 3, 1, CV_64FC1, r );
-        cvRodrigues2( r_vec, &_r );
-        cvRodrigues2( &_r, &matR, &_dRdr );
-        cvCopy( r_vec, &matR );
-    }
-    else
-    {
-        _r = cvMat( r_vec->rows, r_vec->cols, CV_MAKETYPE(CV_64F,CV_MAT_CN(r_vec->type)), r );
-        cvConvert( r_vec, &_r );
-        cvRodrigues2( &_r, &matR, &_dRdr );
-    }
-
-    if( (CV_MAT_DEPTH(t_vec->type) != CV_64F && CV_MAT_DEPTH(t_vec->type) != CV_32F) ||
-        (t_vec->rows != 1 && t_vec->cols != 1) ||
-        t_vec->rows*t_vec->cols*CV_MAT_CN(t_vec->type) != 3 )
-        CV_Error( CV_StsBadArg,
-                  "Translation vector must be 1x3 or 3x1 floating-point vector" );
-
-    _t = cvMat( t_vec->rows, t_vec->cols, CV_MAKETYPE(CV_64F,CV_MAT_CN(t_vec->type)), t );
-    cvConvert( t_vec, &_t );
-
-    if( (CV_MAT_TYPE(A->type) != CV_64FC1 && CV_MAT_TYPE(A->type) != CV_32FC1) ||
-        A->rows != 3 || A->cols != 3 )
-        CV_Error( CV_StsBadArg, "Instrinsic parameters must be 3x3 floating-point matrix" );
-
-    cvConvert( A, &_a );
-    fx = a[0]; fy = a[4];
-    cx = a[2]; cy = a[5];
-
-    if( fixedAspectRatio )
-        fx = fy*aspectRatio;
-
-    if( distCoeffs )
-    {
-        if( !CV_IS_MAT(distCoeffs) ||
-            (CV_MAT_DEPTH(distCoeffs->type) != CV_64F &&
-             CV_MAT_DEPTH(distCoeffs->type) != CV_32F) ||
-            (distCoeffs->rows != 1 && distCoeffs->cols != 1) ||
-            (distCoeffs->rows*distCoeffs->cols*CV_MAT_CN(distCoeffs->type) != 4 &&
-             distCoeffs->rows*distCoeffs->cols*CV_MAT_CN(distCoeffs->type) != 5 &&
-             distCoeffs->rows*distCoeffs->cols*CV_MAT_CN(distCoeffs->type) != 8 &&
-             distCoeffs->rows*distCoeffs->cols*CV_MAT_CN(distCoeffs->type) != 12 &&
-             distCoeffs->rows*distCoeffs->cols*CV_MAT_CN(distCoeffs->type) != 14) )
-            CV_Error( CV_StsBadArg, cvDistCoeffErr );
-
-        _k = cvMat( distCoeffs->rows, distCoeffs->cols,
-                    CV_MAKETYPE(CV_64F,CV_MAT_CN(distCoeffs->type)), k );
-        cvConvert( distCoeffs, &_k );
-        if(k[12] != 0 || k[13] != 0)
-        {
-            _detail::computeTiltProjectionMatrix(k[12], k[13],
-                                                &matTilt, &dMatTiltdTauX, &dMatTiltdTauY);
-        }
-    }
-
-    if( dpdr )
-    {
-        if( !CV_IS_MAT(dpdr) ||
-            (CV_MAT_TYPE(dpdr->type) != CV_32FC1 &&
-             CV_MAT_TYPE(dpdr->type) != CV_64FC1) ||
-            dpdr->rows != count*2 || dpdr->cols != 3 )
-            CV_Error( CV_StsBadArg, "dp/drot must be 2Nx3 floating-point matrix" );
-
-        if( CV_MAT_TYPE(dpdr->type) == CV_64FC1 )
-        {
-            _dpdr.reset(cvCloneMat(dpdr));
-        }
-        else
-            _dpdr.reset(cvCreateMat( 2*count, 3, CV_64FC1 ));
-        dpdr_p = _dpdr->data.db;
-        dpdr_step = _dpdr->step/sizeof(dpdr_p[0]);
-    }
-
-    if( dpdt )
-    {
-        if( !CV_IS_MAT(dpdt) ||
-            (CV_MAT_TYPE(dpdt->type) != CV_32FC1 &&
-             CV_MAT_TYPE(dpdt->type) != CV_64FC1) ||
-            dpdt->rows != count*2 || dpdt->cols != 3 )
-            CV_Error( CV_StsBadArg, "dp/dT must be 2Nx3 floating-point matrix" );
-
-        if( CV_MAT_TYPE(dpdt->type) == CV_64FC1 )
-        {
-            _dpdt.reset(cvCloneMat(dpdt));
-        }
-        else
-            _dpdt.reset(cvCreateMat( 2*count, 3, CV_64FC1 ));
-        dpdt_p = _dpdt->data.db;
-        dpdt_step = _dpdt->step/sizeof(dpdt_p[0]);
-    }
-
-    if( dpdf )
-    {
-        if( !CV_IS_MAT(dpdf) ||
-            (CV_MAT_TYPE(dpdf->type) != CV_32FC1 && CV_MAT_TYPE(dpdf->type) != CV_64FC1) ||
-            dpdf->rows != count*2 || dpdf->cols != 2 )
-            CV_Error( CV_StsBadArg, "dp/df must be 2Nx2 floating-point matrix" );
-
-        if( CV_MAT_TYPE(dpdf->type) == CV_64FC1 )
-        {
-            _dpdf.reset(cvCloneMat(dpdf));
-        }
-        else
-            _dpdf.reset(cvCreateMat( 2*count, 2, CV_64FC1 ));
-        dpdf_p = _dpdf->data.db;
-        dpdf_step = _dpdf->step/sizeof(dpdf_p[0]);
-    }
-
-    if( dpdc )
-    {
-        if( !CV_IS_MAT(dpdc) ||
-            (CV_MAT_TYPE(dpdc->type) != CV_32FC1 && CV_MAT_TYPE(dpdc->type) != CV_64FC1) ||
-            dpdc->rows != count*2 || dpdc->cols != 2 )
-            CV_Error( CV_StsBadArg, "dp/dc must be 2Nx2 floating-point matrix" );
-
-        if( CV_MAT_TYPE(dpdc->type) == CV_64FC1 )
-        {
-            _dpdc.reset(cvCloneMat(dpdc));
-        }
-        else
-            _dpdc.reset(cvCreateMat( 2*count, 2, CV_64FC1 ));
-        dpdc_p = _dpdc->data.db;
-        dpdc_step = _dpdc->step/sizeof(dpdc_p[0]);
-    }
-
-    if( dpdk )
-    {
-        if( !CV_IS_MAT(dpdk) ||
-            (CV_MAT_TYPE(dpdk->type) != CV_32FC1 && CV_MAT_TYPE(dpdk->type) != CV_64FC1) ||
-            dpdk->rows != count*2 || (dpdk->cols != 14 && dpdk->cols != 12 && dpdk->cols != 8 && dpdk->cols != 5 && dpdk->cols != 4 && dpdk->cols != 2) )
-            CV_Error( CV_StsBadArg, "dp/df must be 2Nx14, 2Nx12, 2Nx8, 2Nx5, 2Nx4 or 2Nx2 floating-point matrix" );
-
-        if( !distCoeffs )
-            CV_Error( CV_StsNullPtr, "distCoeffs is NULL while dpdk is not" );
-
-        if( CV_MAT_TYPE(dpdk->type) == CV_64FC1 )
-        {
-            _dpdk.reset(cvCloneMat(dpdk));
-        }
-        else
-            _dpdk.reset(cvCreateMat( dpdk->rows, dpdk->cols, CV_64FC1 ));
-        dpdk_p = _dpdk->data.db;
-        dpdk_step = _dpdk->step/sizeof(dpdk_p[0]);
-    }
-
-    if( dpdo )
-    {
-        if( !CV_IS_MAT( dpdo ) || ( CV_MAT_TYPE( dpdo->type ) != CV_32FC1
-                                    && CV_MAT_TYPE( dpdo->type ) != CV_64FC1 )
-            || dpdo->rows != count * 2 || dpdo->cols != count * 3 )
-            CV_Error( CV_StsBadArg, "dp/do must be 2Nx3N floating-point matrix" );
-
-        if( CV_MAT_TYPE( dpdo->type ) == CV_64FC1 )
-        {
-            _dpdo.reset( cvCloneMat( dpdo ) );
-        }
-        else
-            _dpdo.reset( cvCreateMat( 2 * count, 3 * count, CV_64FC1 ) );
-        cvZero(_dpdo);
-        dpdo_p = _dpdo->data.db;
-        dpdo_step = _dpdo->step / sizeof( dpdo_p[0] );
-    }
-
-    calc_derivatives = dpdr || dpdt || dpdf || dpdc || dpdk || dpdo;
-
-    for( i = 0; i < count; i++ )
-    {
-        double X = M[i].x, Y = M[i].y, Z = M[i].z;
-        double x = R[0]*X + R[1]*Y + R[2]*Z + t[0];
-        double y = R[3]*X + R[4]*Y + R[5]*Z + t[1];
-        double z = R[6]*X + R[7]*Y + R[8]*Z + t[2];
-        double r2, r4, r6, a1, a2, a3, cdist, icdist2;
-        double xd, yd, xd0, yd0, invProj;
-        Vec3d vecTilt;
-        Vec3d dVecTilt;
-        Matx22d dMatTilt;
-        Vec2d dXdYd;
-
-        double z0 = z;
-        z = z ? 1./z : 1;
-        x *= z; y *= z;
-
-        r2 = x*x + y*y;
-        r4 = r2*r2;
-        r6 = r4*r2;
-        a1 = 2*x*y;
-        a2 = r2 + 2*x*x;
-        a3 = r2 + 2*y*y;
-        cdist = 1 + k[0]*r2 + k[1]*r4 + k[4]*r6;
-        icdist2 = 1./(1 + k[5]*r2 + k[6]*r4 + k[7]*r6);
-        xd0 = x*cdist*icdist2 + k[2]*a1 + k[3]*a2 + k[8]*r2+k[9]*r4;
-        yd0 = y*cdist*icdist2 + k[2]*a3 + k[3]*a1 + k[10]*r2+k[11]*r4;
-
-        // additional distortion by projecting onto a tilt plane
-        vecTilt = matTilt*Vec3d(xd0, yd0, 1);
-        invProj = vecTilt(2) ? 1./vecTilt(2) : 1;
-        xd = invProj * vecTilt(0);
-        yd = invProj * vecTilt(1);
-
-        m[i].x = xd*fx + cx;
-        m[i].y = yd*fy + cy;
-        m[i].z = z; // Just put the projected Z coordinate here, we mainly care about the sign
-
-        if( calc_derivatives )
-        {
-            if( dpdc_p )
-            {
-                dpdc_p[0] = 1; dpdc_p[1] = 0; // dp_xdc_x; dp_xdc_y
-                dpdc_p[dpdc_step] = 0;
-                dpdc_p[dpdc_step+1] = 1;
-                dpdc_p += dpdc_step*2;
-            }
-
-            if( dpdf_p )
-            {
-                if( fixedAspectRatio )
-                {
-                    dpdf_p[0] = 0; dpdf_p[1] = xd*aspectRatio; // dp_xdf_x; dp_xdf_y
-                    dpdf_p[dpdf_step] = 0;
-                    dpdf_p[dpdf_step+1] = yd;
-                }
-                else
-                {
-                    dpdf_p[0] = xd; dpdf_p[1] = 0;
-                    dpdf_p[dpdf_step] = 0;
-                    dpdf_p[dpdf_step+1] = yd;
-                }
-                dpdf_p += dpdf_step*2;
-            }
-            for (int row = 0; row < 2; ++row)
-                for (int col = 0; col < 2; ++col)
-                    dMatTilt(row,col) = matTilt(row,col)*vecTilt(2)
-                                        - matTilt(2,col)*vecTilt(row);
-            double invProjSquare = (invProj*invProj);
-            dMatTilt *= invProjSquare;
-            if( dpdk_p )
-            {
-                dXdYd = dMatTilt*Vec2d(x*icdist2*r2, y*icdist2*r2);
-                dpdk_p[0] = fx*dXdYd(0);
-                dpdk_p[dpdk_step] = fy*dXdYd(1);
-                dXdYd = dMatTilt*Vec2d(x*icdist2*r4, y*icdist2*r4);
-                dpdk_p[1] = fx*dXdYd(0);
-                dpdk_p[dpdk_step+1] = fy*dXdYd(1);
-                if( _dpdk->cols > 2 )
-                {
-                    dXdYd = dMatTilt*Vec2d(a1, a3);
-                    dpdk_p[2] = fx*dXdYd(0);
-                    dpdk_p[dpdk_step+2] = fy*dXdYd(1);
-                    dXdYd = dMatTilt*Vec2d(a2, a1);
-                    dpdk_p[3] = fx*dXdYd(0);
-                    dpdk_p[dpdk_step+3] = fy*dXdYd(1);
-                    if( _dpdk->cols > 4 )
-                    {
-                        dXdYd = dMatTilt*Vec2d(x*icdist2*r6, y*icdist2*r6);
-                        dpdk_p[4] = fx*dXdYd(0);
-                        dpdk_p[dpdk_step+4] = fy*dXdYd(1);
-
-                        if( _dpdk->cols > 5 )
-                        {
-                            dXdYd = dMatTilt*Vec2d(
-                                    x*cdist*(-icdist2)*icdist2*r2, y*cdist*(-icdist2)*icdist2*r2);
-                            dpdk_p[5] = fx*dXdYd(0);
-                            dpdk_p[dpdk_step+5] = fy*dXdYd(1);
-                            dXdYd = dMatTilt*Vec2d(
-                                    x*cdist*(-icdist2)*icdist2*r4, y*cdist*(-icdist2)*icdist2*r4);
-                            dpdk_p[6] = fx*dXdYd(0);
-                            dpdk_p[dpdk_step+6] = fy*dXdYd(1);
-                            dXdYd = dMatTilt*Vec2d(
-                                    x*cdist*(-icdist2)*icdist2*r6, y*cdist*(-icdist2)*icdist2*r6);
-                            dpdk_p[7] = fx*dXdYd(0);
-                            dpdk_p[dpdk_step+7] = fy*dXdYd(1);
-                            if( _dpdk->cols > 8 )
-                            {
-                                dXdYd = dMatTilt*Vec2d(r2, 0);
-                                dpdk_p[8] = fx*dXdYd(0); //s1
-                                dpdk_p[dpdk_step+8] = fy*dXdYd(1); //s1
-                                dXdYd = dMatTilt*Vec2d(r4, 0);
-                                dpdk_p[9] = fx*dXdYd(0); //s2
-                                dpdk_p[dpdk_step+9] = fy*dXdYd(1); //s2
-                                dXdYd = dMatTilt*Vec2d(0, r2);
-                                dpdk_p[10] = fx*dXdYd(0);//s3
-                                dpdk_p[dpdk_step+10] = fy*dXdYd(1); //s3
-                                dXdYd = dMatTilt*Vec2d(0, r4);
-                                dpdk_p[11] = fx*dXdYd(0);//s4
-                                dpdk_p[dpdk_step+11] = fy*dXdYd(1); //s4
-                                if( _dpdk->cols > 12 )
-                                {
-                                    dVecTilt = dMatTiltdTauX * Vec3d(xd0, yd0, 1);
-                                    dpdk_p[12] = fx * invProjSquare * (
-                                            dVecTilt(0) * vecTilt(2) - dVecTilt(2) * vecTilt(0));
-                                    dpdk_p[dpdk_step+12] = fy*invProjSquare * (
-                                            dVecTilt(1) * vecTilt(2) - dVecTilt(2) * vecTilt(1));
-                                    dVecTilt = dMatTiltdTauY * Vec3d(xd0, yd0, 1);
-                                    dpdk_p[13] = fx * invProjSquare * (
-                                            dVecTilt(0) * vecTilt(2) - dVecTilt(2) * vecTilt(0));
-                                    dpdk_p[dpdk_step+13] = fy * invProjSquare * (
-                                            dVecTilt(1) * vecTilt(2) - dVecTilt(2) * vecTilt(1));
-                                }
-                            }
-                        }
-                    }
-                }
-                dpdk_p += dpdk_step*2;
-            }
-
-            if( dpdt_p )
-            {
-                double dxdt[] = { z, 0, -x*z }, dydt[] = { 0, z, -y*z };
-                for( j = 0; j < 3; j++ )
-                {
-                    double dr2dt = 2*x*dxdt[j] + 2*y*dydt[j];
-                    double dcdist_dt = k[0]*dr2dt + 2*k[1]*r2*dr2dt + 3*k[4]*r4*dr2dt;
-                    double dicdist2_dt = -icdist2*icdist2*(k[5]*dr2dt + 2*k[6]*r2*dr2dt + 3*k[7]*r4*dr2dt);
-                    double da1dt = 2*(x*dydt[j] + y*dxdt[j]);
-                    double dmxdt = (dxdt[j]*cdist*icdist2 + x*dcdist_dt*icdist2 + x*cdist*dicdist2_dt +
-                                    k[2]*da1dt + k[3]*(dr2dt + 4*x*dxdt[j]) + k[8]*dr2dt + 2*r2*k[9]*dr2dt);
-                    double dmydt = (dydt[j]*cdist*icdist2 + y*dcdist_dt*icdist2 + y*cdist*dicdist2_dt +
-                                    k[2]*(dr2dt + 4*y*dydt[j]) + k[3]*da1dt + k[10]*dr2dt + 2*r2*k[11]*dr2dt);
-                    dXdYd = dMatTilt*Vec2d(dmxdt, dmydt);
-                    dpdt_p[j] = fx*dXdYd(0);
-                    dpdt_p[dpdt_step+j] = fy*dXdYd(1);
-                }
-                dpdt_p += dpdt_step*2;
-            }
-
-            if( dpdr_p )
-            {
-                double dx0dr[] =
-                        {
-                                X*dRdr[0] + Y*dRdr[1] + Z*dRdr[2],
-                                X*dRdr[9] + Y*dRdr[10] + Z*dRdr[11],
-                                X*dRdr[18] + Y*dRdr[19] + Z*dRdr[20]
-                        };
-                double dy0dr[] =
-                        {
-                                X*dRdr[3] + Y*dRdr[4] + Z*dRdr[5],
-                                X*dRdr[12] + Y*dRdr[13] + Z*dRdr[14],
-                                X*dRdr[21] + Y*dRdr[22] + Z*dRdr[23]
-                        };
-                double dz0dr[] =
-                        {
-                                X*dRdr[6] + Y*dRdr[7] + Z*dRdr[8],
-                                X*dRdr[15] + Y*dRdr[16] + Z*dRdr[17],
-                                X*dRdr[24] + Y*dRdr[25] + Z*dRdr[26]
-                        };
-                for( j = 0; j < 3; j++ )
-                {
-                    double dxdr = z*(dx0dr[j] - x*dz0dr[j]);
-                    double dydr = z*(dy0dr[j] - y*dz0dr[j]);
-                    double dr2dr = 2*x*dxdr + 2*y*dydr;
-                    double dcdist_dr = (k[0] + 2*k[1]*r2 + 3*k[4]*r4)*dr2dr;
-                    double dicdist2_dr = -icdist2*icdist2*(k[5] + 2*k[6]*r2 + 3*k[7]*r4)*dr2dr;
-                    double da1dr = 2*(x*dydr + y*dxdr);
-                    double dmxdr = (dxdr*cdist*icdist2 + x*dcdist_dr*icdist2 + x*cdist*dicdist2_dr +
-                                    k[2]*da1dr + k[3]*(dr2dr + 4*x*dxdr) + (k[8] + 2*r2*k[9])*dr2dr);
-                    double dmydr = (dydr*cdist*icdist2 + y*dcdist_dr*icdist2 + y*cdist*dicdist2_dr +
-                                    k[2]*(dr2dr + 4*y*dydr) + k[3]*da1dr + (k[10] + 2*r2*k[11])*dr2dr);
-                    dXdYd = dMatTilt*Vec2d(dmxdr, dmydr);
-                    dpdr_p[j] = fx*dXdYd(0);
-                    dpdr_p[dpdr_step+j] = fy*dXdYd(1);
-                }
-                dpdr_p += dpdr_step*2;
-            }
-
-            if( dpdo_p )
-            {
-                double dxdo[] = { z * ( R[0] - x * z * z0 * R[6] ),
-                                  z * ( R[1] - x * z * z0 * R[7] ),
-                                  z * ( R[2] - x * z * z0 * R[8] ) };
-                double dydo[] = { z * ( R[3] - y * z * z0 * R[6] ),
-                                  z * ( R[4] - y * z * z0 * R[7] ),
-                                  z * ( R[5] - y * z * z0 * R[8] ) };
-                for( j = 0; j < 3; j++ )
-                {
-                    double dr2do = 2 * x * dxdo[j] + 2 * y * dydo[j];
-                    double dr4do = 2 * r2 * dr2do;
-                    double dr6do = 3 * r4 * dr2do;
-                    double da1do = 2 * y * dxdo[j] + 2 * x * dydo[j];
-                    double da2do = dr2do + 4 * x * dxdo[j];
-                    double da3do = dr2do + 4 * y * dydo[j];
-                    double dcdist_do
-                            = k[0] * dr2do + k[1] * dr4do + k[4] * dr6do;
-                    double dicdist2_do = -icdist2 * icdist2
-                                         * ( k[5] * dr2do + k[6] * dr4do + k[7] * dr6do );
-                    double dxd0_do = cdist * icdist2 * dxdo[j]
-                                     + x * icdist2 * dcdist_do + x * cdist * dicdist2_do
-                                     + k[2] * da1do + k[3] * da2do + k[8] * dr2do
-                                     + k[9] * dr4do;
-                    double dyd0_do = cdist * icdist2 * dydo[j]
-                                     + y * icdist2 * dcdist_do + y * cdist * dicdist2_do
-                                     + k[2] * da3do + k[3] * da1do + k[10] * dr2do
-                                     + k[11] * dr4do;
-                    dXdYd = dMatTilt * Vec2d( dxd0_do, dyd0_do );
-                    dpdo_p[i * 3 + j] = fx * dXdYd( 0 );
-                    dpdo_p[dpdo_step + i * 3 + j] = fy * dXdYd( 1 );
-                }
-                dpdo_p += dpdo_step * 2;
-            }
-        }
-    }
-
-    if( _m != imagePoints )
-        cvConvert( _m, imagePoints );
-
-    if( _dpdr != dpdr )
-        cvConvert( _dpdr, dpdr );
-
-    if( _dpdt != dpdt )
-        cvConvert( _dpdt, dpdt );
-
-    if( _dpdf != dpdf )
-        cvConvert( _dpdf, dpdf );
-
-    if( _dpdc != dpdc )
-        cvConvert( _dpdc, dpdc );
-
-    if( _dpdk != dpdk )
-        cvConvert( _dpdk, dpdk );
-
-    if( _dpdo != dpdo )
-        cvConvert( _dpdo, dpdo );
-}
-
-static void _cvProjectPoints2( const CvMat* objectPoints,
-                        const CvMat* r_vec,
-                        const CvMat* t_vec,
-                        const CvMat* A,
-                        const CvMat* distCoeffs,
-                        CvMat* imagePoints, CvMat* dpdr,
-                        CvMat* dpdt, CvMat* dpdf,
-                        CvMat* dpdc, CvMat* dpdk,
-                        double aspectRatio )
-{
-    _cvProjectPoints2Internal( objectPoints, r_vec, t_vec, A, distCoeffs, imagePoints, dpdr, dpdt,
-                               dpdf, dpdc, dpdk, NULL, aspectRatio );
 }
--- a/aruco_pose/src/genmap.py
+++ b/aruco_pose/src/genmap.py
@@ -13,7 +13,7 @@
 Generate map file for aruco_map nodelet.

 Usage:
-  genmap.py <length> <x> <y> <dist_x> <dist_y> [<first>] [<x0>] [<y0>] [--top-left | --bottom-left]
+  genmap.py <length> <x> <y> <dist_x> <dist_y> [<first>] [<x0>] [<y0>] [--top-left | --bottom-left] [-o <filename>]
  genmap.py (-h | --help)

 Options:
@@ -27,6 +27,7 @@ Options:
  <y0>           Y coordinate for the first marker [default: 0]
  --top-left     First marker is on top-left (default)
  --bottom-left  First marker is on bottom-left
+  -o <filename>  Output map file name in the 'map' subdirectory of aruco_pose package

 Example:
  rosrun aruco_pose genmap.py 0.33 2 4 1 1 0 > $(catkin_find aruco_pose map)/test_map.txt
@@ -34,6 +35,8 @@ Example:

 from __future__ import print_function

+import sys
+from os import path
 from docopt import docopt


@@ -49,14 +52,19 @@ dist_x = float(arguments['<dist_x>'])
 dist_y = float(arguments['<dist_y>'])
 bottom_left = arguments['--bottom-left']

+if arguments['-o'] is None:
+    output = sys.stdout
+else:
+    output = open(path.join(path.dirname(__file__), '..', 'map', arguments['-o']), 'w')
+
 max_y = y0 + (markers_y - 1) * dist_y

-print('# id\tlength\tx\ty\tz\trot_z\trot_y\trot_x')
+output.write('# id\tlength\tx\ty\tz\trot_z\trot_y\trot_x\n')
 for y in range(markers_y):
    for x in range(markers_x):
        pos_x = x0 + x * dist_x
        pos_y = y0 + y * dist_y
        if not bottom_left:
            pos_y = max_y - pos_y
-        print('{}\t{}\t{}\t{}\t{}\t{}\t{}\t{}'.format(first, length, pos_x, pos_y, 0, 0, 0, 0))
+        output.write('{}\t{}\t{}\t{}\t{}\t{}\t{}\t{}\n'.format(first, length, pos_x, pos_y, 0, 0, 0, 0))
        first += 1
--- a/aruco_pose/vendor/VendorOpenCV.cmake
+++ b/aruco_pose/vendor/VendorOpenCV.cmake
@@ -7,6 +7,7 @@ endif()

 message(STATUS "Adding vendored aruco_pose OpenCV module")
 add_library(_opencv_aruco STATIC
+  vendor/aruco/src/apriltag_quad_thresh.cpp
  vendor/aruco/src/aruco.cpp
  vendor/aruco/src/charuco.cpp
  vendor/aruco/src/dictionary.cpp
@@ -23,7 +24,7 @@ target_compile_definitions(_opencv_aruco PRIVATE
  CV_OVERRIDE=override
 )
 target_compile_options(_opencv_aruco PRIVATE
-  -fpic -fPIC
+  -fpic -fPIC -fvisibility=hidden
 )

 target_include_directories(_opencv_aruco PUBLIC
--- a/aruco_pose/vendor/aruco/src/apriltag_quad_thresh.cpp
+++ b/aruco_pose/vendor/aruco/src/apriltag_quad_thresh.cpp
@@ -94,7 +94,7 @@ void ptsort_(struct pt *pts, int sz)

    // Use stack storage if it's not too big.
    cv::AutoBuffer<struct pt, 1024> _tmp_stack(sz);
-    memcpy(_tmp_stack.data(), pts, sizeof(struct pt) * sz);
+    memcpy(_tmp_stack, pts, sizeof(struct pt) * sz);

    int asz = sz/2;
    int bsz = sz - asz;
@@ -470,11 +470,11 @@ int quad_segment_agg(int sz, struct line_fit_pt *lfps, int indices[4]){
    int rvalloc_pos = 0;
    int rvalloc_size = 3*sz;
    cv::AutoBuffer<struct remove_vertex, 0> rvalloc_(std::max(1, rvalloc_size));
-    memset(rvalloc_.data(), 0, sizeof(rvalloc_[0]) * rvalloc_.size()); // TODO Add AutoBuffer zero fill
-    struct remove_vertex *rvalloc = rvalloc_.data();
+    memset(rvalloc_, 0, sizeof(rvalloc_[0]) * rvalloc_.size()); // TODO Add AutoBuffer zero fill
+    struct remove_vertex *rvalloc = rvalloc_;
    cv::AutoBuffer<struct segment, 0> segs_(std::max(1, sz)); // TODO Add AutoBuffer zero fill
-    memset(segs_.data(), 0, sizeof(segs_[0]) * segs_.size());
-    struct segment *segs = segs_.data();
+    memset(segs_, 0, sizeof(segs_[0]) * segs_.size());
+    struct segment *segs = segs_;

    // populate with initial entries
    for (int i = 0; i < sz; i++) {
@@ -753,8 +753,8 @@ int fit_quad(const Ptr<DetectorParameters> &_params, const Mat im, zarray_t *clu
    // efficiently computed for any contiguous range of indices.

    cv::AutoBuffer<struct line_fit_pt, 64> lfps_(sz);
-    memset(lfps_.data(), 0, sizeof(lfps_[0]) * lfps_.size()); // TODO Add AutoBuffer zero fill
-    struct line_fit_pt *lfps = lfps_.data();
+    memset(lfps_, 0, sizeof(lfps_[0]) * lfps_.size()); // TODO Add AutoBuffer zero fill
+    struct line_fit_pt *lfps = lfps_;

    for (int i = 0; i < sz; i++) {
        struct pt *p;
--- a/builder/assets/clever/setup.py
+++ b/builder/assets/clever/setup.py
@@ -1,4 +1,4 @@
-#!/usr/bin/env python
+#!/usr/bin/env python3

 from distutils.core import setup

--- a/builder/assets/noetic-rosdep-clover.yaml
+++ b/builder/assets/noetic-rosdep-clover.yaml
@@ -0,0 +1,18 @@
+async_web_server_cpp:
+  debian:
+    buster: [ros-noetic-async-web-server-cpp]
+led_msgs:
+  debian:
+    buster: [ros-noetic-led-msgs]
+ros_pytest:
+  debian:
+    buster: [ros-noetic-ros-pytest]
+tf2_web_republisher:
+  debian:
+    buster: [ros-noetic-tf2-web-republisher]
+web_video_server:
+  debian:
+    buster: [ros-noetic-web-video-server]
+ws281x:
+  debian:
+    buster: [ros-noetic-ws281x]
--- a/builder/assets/roscore.service
+++ b/builder/assets/roscore.service
@@ -3,7 +3,7 @@ Description=Launcher for the ROS master, parameter server and rosout logging nod

 [Service]
 User=pi
-ExecStart=/bin/sh -c ". /opt/ros/melodic/setup.sh; ROS_HOSTNAME=`hostname`.local exec roscore"
+ExecStart=/bin/sh -c ". /opt/ros/noetic/setup.sh; ROS_HOSTNAME=`hostname`.local exec roscore"
 Restart=on-failure
 RestartSec=3

--- a/builder/image-build.sh
+++ b/builder/image-build.sh
@@ -15,7 +15,8 @@

 set -e # Exit immidiately on non-zero result

-SOURCE_IMAGE="https://downloads.raspberrypi.org/raspios_lite_armhf/images/raspios_lite_armhf-2021-01-12/2021-01-11-raspios-buster-armhf-lite.zip"
+# https://www.raspberrypi.org/software/operating-systems/#raspberry-pi-os-32-bit
+SOURCE_IMAGE="https://downloads.raspberrypi.org/raspios_lite_armhf/images/raspios_lite_armhf-2021-05-28/2021-05-07-raspios-buster-armhf-lite.zip"

 export DEBIAN_FRONTEND=${DEBIAN_FRONTEND:='noninteractive'}
 export LANG=${LANG:='C.UTF-8'}
@@ -104,8 +105,6 @@ ${BUILDER_DIR}/image-chroot.sh ${IMAGE_PATH} copy ${SCRIPTS_DIR}'/assets/butterf
 ${BUILDER_DIR}/image-chroot.sh ${IMAGE_PATH} copy ${SCRIPTS_DIR}'/assets/monkey.service' '/lib/systemd/system/'
 # software install
 ${BUILDER_DIR}/image-chroot.sh ${IMAGE_PATH} exec ${SCRIPTS_DIR}'/image-software.sh'
-# examples
-${BUILDER_DIR}/image-chroot.sh ${IMAGE_PATH} copy ${SCRIPTS_DIR}'/assets/examples' '/home/pi/'  # TODO: symlink?
 # network setup
 ${BUILDER_DIR}/image-chroot.sh ${IMAGE_PATH} exec ${SCRIPTS_DIR}'/image-network.sh'
 # avahi setup
@@ -116,7 +115,7 @@ ${BUILDER_DIR}/image-chroot.sh ${IMAGE_PATH} copy ${SCRIPTS_DIR}'/assets/avahi-s
 # Clover
 ${BUILDER_DIR}/image-chroot.sh ${IMAGE_PATH} copy ${SCRIPTS_DIR}'/assets/clover.service' '/lib/systemd/system/'
 ${BUILDER_DIR}/image-chroot.sh ${IMAGE_PATH} copy ${SCRIPTS_DIR}'/assets/roscore.service' '/lib/systemd/system/'
-${BUILDER_DIR}/image-chroot.sh ${IMAGE_PATH} copy ${SCRIPTS_DIR}'/assets/melodic-rosdep-clover.yaml' '/etc/ros/rosdep/'
+${BUILDER_DIR}/image-chroot.sh ${IMAGE_PATH} copy ${SCRIPTS_DIR}'/assets/noetic-rosdep-clover.yaml' '/etc/ros/rosdep/'
 ${BUILDER_DIR}/image-chroot.sh ${IMAGE_PATH} copy ${SCRIPTS_DIR}'/assets/ros_python_paths' '/etc/sudoers.d/'
 ${BUILDER_DIR}/image-chroot.sh ${IMAGE_PATH} copy ${SCRIPTS_DIR}'/assets/pigpiod.service' '/lib/systemd/system/'
 ${BUILDER_DIR}/image-chroot.sh ${IMAGE_PATH} copy ${SCRIPTS_DIR}'/assets/launch.nanorc' '/usr/share/nano/'
--- a/builder/image-ros.sh
+++ b/builder/image-ros.sh
@@ -21,6 +21,9 @@ INSTALL_ROS_PACK_SOURCES=$3
 DISCOVER_ROS_PACK=$4
 NUMBER_THREADS=$5

+# Current ROS distribution
+ROS_DISTRO=noetic
+
 echo_stamp() {
  # TEMPLATE: echo_stamp <TEXT> <TYPE>
  # TYPE: SUCCESS, ERROR, INFO
@@ -68,7 +71,8 @@ my_travis_retry() {
 # TODO: 'kinetic-rosdep-clover.yaml' should add only if we use our repo?
 echo_stamp "Init rosdep"
 my_travis_retry rosdep init
-echo "yaml file:///etc/ros/rosdep/melodic-rosdep-clover.yaml" >> /etc/ros/rosdep/sources.list.d/20-default.list
+# FIXME: Re-add this after missing packages are built
+echo "yaml file:///etc/ros/rosdep/${ROS_DISTRO}-rosdep-clover.yaml" >> /etc/ros/rosdep/sources.list.d/20-default.list
 my_travis_retry rosdep update

 echo_stamp "Populate rosdep for ROS user"
@@ -76,22 +80,40 @@ my_travis_retry sudo -u pi rosdep update

 export ROS_IP='127.0.0.1' # needed for running tests

-# echo_stamp "Reconfiguring Clover repository for simplier unshallowing" # TODO: bring back
-# cd /home/pi/catkin_ws/src/clover
-# git config remote.origin.fetch "+refs/heads/*:refs/remotes/origin/*"
-echo_stamp "Remove .git from Clover to reduce the size"
-rm -rf /home/pi/catkin_ws/src/clover/.git # TODO: remove
+# echo_stamp "Reconfiguring Clover repository for simplier unshallowing"
+cd /home/pi/catkin_ws/src/clover
+git config remote.origin.fetch "+refs/heads/*:refs/remotes/origin/*"
+
+# This is sort of a hack to force "custom" packages to be installed - the ones built by COEX, linked against OpenCV 4.2
+# I **wish** OpenCV would not be such a mess, but, well, here we are.
+echo_stamp "Installing OpenCV 4.2-compatible ROS packages"
+apt install -y --no-install-recommends \
+ros-${ROS_DISTRO}-compressed-image-transport=1.14.0-0buster \
+ros-${ROS_DISTRO}-cv-bridge=1.15.0-0buster \
+ros-${ROS_DISTRO}-cv-camera=0.5.0-0buster \
+ros-${ROS_DISTRO}-image-publisher=1.15.3-0buster \
+ros-${ROS_DISTRO}-web-video-server=0.2.1-0buster
+apt-mark hold \
+ros-${ROS_DISTRO}-compressed-image-transport \
+ros-${ROS_DISTRO}-cv-bridge \
+ros-${ROS_DISTRO}-cv-camera \
+ros-${ROS_DISTRO}-image-publisher \
+ros-${ROS_DISTRO}-web-video-server
+
+echo_stamp "Installing libboost-dev" # https://travis-ci.org/github/CopterExpress/clover/jobs/766318908#L6536
+my_travis_retry apt-get install -y --no-install-recommends libboost-dev libboost-all-dev

 echo_stamp "Build and install Clover"
 cd /home/pi/catkin_ws
 # Don't try to install gazebo_ros
-my_travis_retry rosdep install -y --from-paths src --ignore-src --rosdistro melodic --os=debian:buster \
+my_travis_retry rosdep install -y --from-paths src --ignore-src --rosdistro ${ROS_DISTRO} --os=debian:buster \
  --skip-keys=gazebo_ros --skip-keys=gazebo_plugins
-my_travis_retry pip install wheel
-my_travis_retry pip install -r /home/pi/catkin_ws/src/clover/clover/requirements.txt
-source /opt/ros/melodic/setup.bash
+my_travis_retry pip3 install wheel
+my_travis_retry pip3 install -r /home/pi/catkin_ws/src/clover/clover/requirements.txt
+source /opt/ros/${ROS_DISTRO}/setup.bash
 # Don't build simulation plugins for actual drone
-catkin_make -j2 -DCMAKE_BUILD_TYPE=Release -DCATKIN_BLACKLIST_PACKAGES=clover_gazebo_plugins
+catkin_make -j2 -DCMAKE_BUILD_TYPE=RelWithDebInfo -DCATKIN_BLACKLIST_PACKAGES=clover_gazebo_plugins
+source devel/setup.bash

 echo_stamp "Install clever package (for backwards compatibility)"
 cd /home/pi/catkin_ws/src/clover/builder/assets/clever
@@ -108,23 +130,20 @@ touch node_modules/CATKIN_IGNORE docs/CATKIN_IGNORE _book/CATKIN_IGNORE clover/w

 echo_stamp "Installing additional ROS packages"
 my_travis_retry apt-get install -y --no-install-recommends \
-    ros-melodic-dynamic-reconfigure \
-    ros-melodic-compressed-image-transport \
-    ros-melodic-rosbridge-suite \
-    ros-melodic-rosserial \
-    ros-melodic-usb-cam \
-    ros-melodic-vl53l1x \
-    ros-melodic-ws281x \
-    ros-melodic-rosshow
+    ros-${ROS_DISTRO}-dynamic-reconfigure \
+    ros-${ROS_DISTRO}-rosbridge-suite \
+    ros-${ROS_DISTRO}-rosserial \
+    ros-${ROS_DISTRO}-usb-cam \
+    ros-${ROS_DISTRO}-vl53l1x \
+    ros-${ROS_DISTRO}-ws281x \
+    ros-${ROS_DISTRO}-rosshow \
+    ros-${ROS_DISTRO}-cmake-modules \
+    ros-${ROS_DISTRO}-image-view

 # TODO move GeographicLib datasets to Mavros debian package
 echo_stamp "Install GeographicLib datasets (needed for mavros)" \
 && wget -qO- https://raw.githubusercontent.com/mavlink/mavros/master/mavros/scripts/install_geographiclib_datasets.sh | bash

-# FIXME: Buster comes with tornado==5.1.1 but we need tornado==4.2.1 for rosbridge_suite
-# (note that Python 3 will still have a more recent version)
-pip install tornado==4.2.1
-
 echo_stamp "Running tests"
 cd /home/pi/catkin_ws
 # FIXME: Investigate failing tests
@@ -133,7 +152,8 @@ catkin_make run_tests #&& catkin_test_results
 echo_stamp "Change permissions for catkin_ws"
 chown -Rf pi:pi /home/pi/catkin_ws

-echo_stamp "Change permissions for examples"
+echo_stamp "Make \$HOME/examples symlink"
+ln -s "$(catkin_find clover examples --first-only)" /home/pi
 chown -Rf pi:pi /home/pi/examples

 echo_stamp "Setup ROS environment"
@@ -141,7 +161,7 @@ cat << EOF >> /home/pi/.bashrc
 LANG='C.UTF-8'
 LC_ALL='C.UTF-8'
 export ROS_HOSTNAME=\`hostname\`.local
-source /opt/ros/melodic/setup.bash
+source /opt/ros/${ROS_DISTRO}/setup.bash
 source /home/pi/catkin_ws/devel/setup.bash
 EOF

--- a/builder/image-software.sh
+++ b/builder/image-software.sh
@@ -64,15 +64,14 @@ echo "APT::Acquire::Retries \"3\";" > /etc/apt/apt.conf.d/80-retries
 echo_stamp "Install apt keys & repos"

 # TODO: This STDOUT consist 'OK'
-curl http://deb.coex.tech/aptly_repo_signing.key 2> /dev/null | apt-key add -
 apt-get update \
 && apt-get install --no-install-recommends -y dirmngr > /dev/null \
 && apt-key adv --keyserver hkp://keyserver.ubuntu.com:80 --recv-key C1CF6E31E6BADE8868B172B4F42ED6FBAB17C654

 echo "deb http://packages.ros.org/ros/ubuntu buster main" > /etc/apt/sources.list.d/ros-latest.list
-echo "deb http://deb.coex.tech/opencv3 buster main" > /etc/apt/sources.list.d/opencv3.list
-echo "deb http://deb.coex.tech/rpi-ros-melodic buster main" > /etc/apt/sources.list.d/rpi-ros-melodic.list
-echo "deb http://deb.coex.tech/clover buster main" > /etc/apt/sources.list.d/clover.list
+
+wget -O - 'http://packages.coex.tech/key.asc' | apt-key add - 
+echo 'deb http://packages.coex.tech buster main' >> /etc/apt/sources.list

 echo_stamp "Update apt cache"

@@ -99,18 +98,18 @@ tree \
 vim \
 libjpeg8 \
 tcpdump \
-ltrace \
 libpoco-dev \
 libzbar0 \
-python-rosdep \
-python-rosinstall-generator \
-python-wstool \
-python-rosinstall \
+python3-rosdep \
+python3-rosinstall-generator \
+python3-wstool \
+python3-rosinstall \
 build-essential \
 libffi-dev \
 monkey \
 pigpio python-pigpio python3-pigpio \
 i2c-tools \
+espeak espeak-data python-espeak python3-espeak \
 ntpdate \
 python-dev \
 python3-dev \
@@ -144,7 +143,7 @@ my_travis_retry pip3 install butterfly[systemd]
 systemctl enable butterfly.socket

 echo_stamp "Install ws281x library"
-my_travis_retry pip install --prefer-binary rpi_ws281x
+my_travis_retry pip3 install --prefer-binary rpi_ws281x

 echo_stamp "Setup Monkey"
 mv /etc/monkey/sites/default /etc/monkey/sites/default.orig
--- a/builder/image-validate.sh
+++ b/builder/image-validate.sh
@@ -16,16 +16,20 @@ set -ex

 echo "Run image tests"

-export ROS_DISTRO='melodic'
+export ROS_DISTRO='noetic'
 export ROS_IP='127.0.0.1'
-source /opt/ros/melodic/setup.bash
+source /opt/ros/${ROS_DISTRO}/setup.bash
 source /home/pi/catkin_ws/devel/setup.bash
+systemctl start roscore

 cd /home/pi/catkin_ws/src/clover/builder/test/
 ./tests.sh
 ./tests.py
 ./tests_py3.py
+[[ $(./test_qr.py) == "Found QRCODE with data Проверка Unicode with center at x=66.0, y=66.0" ]] 
 [[ $(./tests_clever.py) == "Warning: clever package is renamed to clover" ]]  # test backwards compatibility

+systemctl stop roscore
+
 echo "Move /etc/ld.so.preload back to its original position"
 mv /etc/ld.so.preload.disabled-for-build /etc/ld.so.preload
--- a/builder/standalone-install.sh
+++ b/builder/standalone-install.sh
@@ -6,21 +6,40 @@ set -e
 apt-key adv --keyserver 'hkp://keyserver.ubuntu.com:80' --recv-key C1CF6E31E6BADE8868B172B4F42ED6FBAB17C654 # https://github.com/osrf/docker_images/issues/535
 apt-get update
 apt-get install -y curl
-curl https://bootstrap.pypa.io/pip/2.7/get-pip.py -o get-pip.py
-python ./get-pip.py
+if [ "x${ROS_PYTHON_VERSION}" = "x3" ]; then
+  PYTHON=python3
+  curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py
+else
+  PYTHON=python
+  curl https://bootstrap.pypa.io/pip/2.7/get-pip.py -o get-pip.py
+fi
+${PYTHON} ./get-pip.py

 # Step 1.5: Add deb.coex.tech to apt
 curl http://deb.coex.tech/aptly_repo_signing.key 2> /dev/null | apt-key add -
 echo "deb http://deb.coex.tech/ros xenial main" > /etc/apt/sources.list.d/coex.tech.list
 echo "yaml file:///etc/ros/rosdep/coex.yaml" > /etc/ros/rosdep/sources.list.d/99-coex.list
+CODENAME=$(lsb_release -sc)
+
 cat <<EOF > /etc/ros/rosdep/coex.yaml
 led_msgs:
  ubuntu:
-    xenial: ros-kinetic-led-msgs
-    bionic: ros-melodic-led-msgs
-  debian:
-    stretch: ros-kinetic-led-msgs
-    buster: ros-melodic-led-msgs
+    ${CODENAME}: [ros-${ROS_DISTRO}-led-msgs]
+async_web_server_cpp:
+  ubuntu:
+    ${CODENAME}: [ros-${ROS_DISTRO}-async-web-server-cpp]
+ros_pytest:
+  ubuntu:
+    ${CODENAME}: [ros-${ROS_DISTRO}-ros-pytest]
+tf2_web_republisher:
+  ubuntu:
+    ${CODENAME}: [ros-${ROS_DISTRO}-tf2-web-republisher]
+web_video_server:
+  ubuntu:
+    ${CODENAME}: [ros-${ROS_DISTRO}-web-video-server]
+ws281x:
+  ubuntu:
+    ${CODENAME}: [ros-${ROS_DISTRO}-ws281x]
 EOF
 apt-get update
 rosdep update
@@ -38,7 +57,7 @@ cd /root/catkin_ws
 catkin_make

 # Step 4: Run tests
-pip install --upgrade pytest
+${PYTHON} -m pip install --upgrade pytest
 cd /root/catkin_ws
 source devel/setup.bash
 catkin_make run_tests && catkin_test_results
--- a/builder/test/qr.png
+++ b/builder/test/qr.png
--- a/builder/test/test_qr.py
+++ b/builder/test/test_qr.py
@@ -0,0 +1,42 @@
+#!/usr/bin/env python3
+
+# Test QG recognition example
+# Should be synced with the documentation: /docs/en/camera.md, /docs/ru/camera.md
+# TODO: use real ROS topics
+
+import rospy
+from pyzbar import pyzbar
+from cv_bridge import CvBridge
+from sensor_msgs.msg import Image
+
+bridge = CvBridge()
+
+# rospy.init_node('barcode_test')
+
+# Image subscriber callback function
+def image_callback(data):
+    cv_image = bridge.imgmsg_to_cv2(data, 'bgr8')  # OpenCV image
+    barcodes = pyzbar.decode(cv_image)
+    for barcode in barcodes:
+        b_data = barcode.data.decode("utf-8")
+        b_type = barcode.type
+        (x, y, w, h) = barcode.rect
+        xc = x + w/2
+        yc = y + h/2
+        print("Found {} with data {} with center at x={}, y={}".format(b_type, b_data, xc, yc))
+    # rospy.signal_shutdown('done')
+
+# image_sub = rospy.Subscriber('main_camera/image_raw', Image, image_callback, queue_size=1)
+
+# ==============================================================================
+# Publish test image
+# rospy.sleep(2)
+
+import cv2
+img = cv2.imread('qr.png')
+image_callback(bridge.cv2_to_imgmsg(img, 'bgr8'))
+
+# image_pub = rospy.Publisher('/main_camera/image_raw', Image, queue_size=1, latch=True)
+# image_pub.publish(bridge.cv2_to_imgmsg(img, 'bgr8'))
+
+# rospy.spin()
--- a/builder/test/tests.py
+++ b/builder/test/tests.py
@@ -1,21 +1,29 @@
-#!/usr/bin/env python
+#!/usr/bin/env python3

 # validate all required modules installed

 import rospy
 from geometry_msgs.msg import PoseStamped
+from sensor_msgs.msg import Range, BatteryState

 import cv2
 import cv2.aruco
+from sensor_msgs.msg import Image
+from cv_bridge import CvBridge

 import numpy
 import mavros
-from mavros_msgs.msg import State, StatusText, ExtendedState
+from mavros_msgs.msg import State, StatusText, ExtendedState, RCIn, Mavlink
 from mavros_msgs.srv import CommandBool, CommandLong, SetMode

 from std_srvs.srv import Trigger
 from clover.srv import GetTelemetry, Navigate, NavigateGlobal, SetPosition, SetVelocity, \
    SetAttitude, SetRates, SetLEDEffect
+from led_msgs.srv import SetLEDs
+from led_msgs.msg import LEDStateArray, LEDState
+from aruco_pose.msg import Marker, MarkerArray, Point2D
+
+import dynamic_reconfigure.client

 import tf2_ros
 import tf2_geometry_msgs
@@ -28,4 +36,4 @@ import pigpio
 # from espeak import espeak
 from pyzbar import pyzbar

-print cv2.getBuildInformation()
+print(cv2.getBuildInformation())
--- a/builder/test/tests.sh
+++ b/builder/test/tests.sh
@@ -54,6 +54,8 @@ rosversion usb_cam
 rosversion cv_camera
 rosversion web_video_server
 rosversion rosshow
+rosversion nodelet
+rosversion image_view

 # validate examples are present
 [[ $(ls /home/pi/examples/*) ]]
--- a/builder/test/tests_clever.py
+++ b/builder/test/tests_clever.py
@@ -1,4 +1,4 @@
-#!/usr/bin/env python
+#!/usr/bin/env python3

 # test backwards compatibility

--- a/clover/CMakeLists.txt
+++ b/clover/CMakeLists.txt
@@ -1,4 +1,4 @@
-cmake_minimum_required(VERSION 2.8.3)
+cmake_minimum_required(VERSION 3.0)
 project(clover)

 ## Compile as C++11, supported in ROS Kinetic and newer
@@ -30,7 +30,15 @@ list(APPEND CMAKE_MODULE_PATH "${CMAKE_CURRENT_LIST_DIR}/cmake")

 find_package(GeographicLib REQUIRED)

-find_package(OpenCV 3 REQUIRED
+# Workaround for OpenCV 3/4 support
+set(_opencv_version 4)
+find_package(OpenCV ${_opencv_version} QUIET COMPONENTS calib3d imgproc)
+if (NOT OpenCV_FOUND)
+  message(STATUS "Did not find OpenCV 4, searching for OpenCV 3")
+  set(_opencv_version 3)
+endif()
+
+find_package(OpenCV ${_opencv_version} REQUIRED
  COMPONENTS
    calib3d
    imgproc
@@ -233,12 +241,12 @@ target_link_libraries(${PROJECT_NAME}
 #   DESTINATION ${CATKIN_PACKAGE_BIN_DESTINATION}
 # )

-## Mark executables and/or libraries for installation
-# install(TARGETS ${PROJECT_NAME} ${PROJECT_NAME}_node
-#   ARCHIVE DESTINATION ${CATKIN_PACKAGE_LIB_DESTINATION}
-#   LIBRARY DESTINATION ${CATKIN_PACKAGE_LIB_DESTINATION}
-#   RUNTIME DESTINATION ${CATKIN_PACKAGE_BIN_DESTINATION}
-# )
+# Mark executables and/or libraries for installation
+install(TARGETS simple_offboard clover_rc camera_markers vpe_publisher clover_led shell clover
+  ARCHIVE DESTINATION ${CATKIN_PACKAGE_LIB_DESTINATION}
+  LIBRARY DESTINATION ${CATKIN_PACKAGE_LIB_DESTINATION}
+  RUNTIME DESTINATION ${CATKIN_PACKAGE_BIN_DESTINATION}
+)

 ## Mark cpp header files for installation
 # install(DIRECTORY include/${PROJECT_NAME}/
@@ -254,6 +262,16 @@ target_link_libraries(${PROJECT_NAME}
 #   DESTINATION ${CATKIN_PACKAGE_SHARE_DESTINATION}
 # )

+catkin_install_python(PROGRAMS src/selfcheck.py
+  DESTINATION ${CATKIN_PACKAGE_BIN_DESTINATION}
+)
+
+install(DIRECTORY launch DESTINATION ${CATKIN_PACKAGE_SHARE_DESTINATION})
+
+install(DIRECTORY examples DESTINATION ${CATKIN_PACKAGE_SHARE_DESTINATION})
+
+# TODO: install www
+
 # Only install udev rules when building a Debian package
 # FIXME: Other operating systems may have other prefixes
 string(FIND ${CMAKE_INSTALL_PREFIX} "/opt/ros" _PREFIX_INDEX)
--- a/clover/README.md
+++ b/clover/README.md
@@ -4,7 +4,7 @@ A bundle for autonomous navigation and drone control.

 ## Manual installation

-Install ROS Melodic according to the [documentation](http://wiki.ros.org/melodic/Installation), then [create a Catkin workspace](http://wiki.ros.org/catkin/Tutorials/create_a_workspace).
+Install ROS Noetic according to the [documentation](http://wiki.ros.org/noetic/Installation), then [create a Catkin workspace](http://wiki.ros.org/catkin/Tutorials/create_a_workspace).

 Clone this repo to directory `~/catkin_ws/src/clover`:

--- a/builder/assets/examples/flight.py
+++ b/builder/assets/examples/flight.py
--- a/builder/assets/examples/flight_marker.py
+++ b/builder/assets/examples/flight_marker.py
--- a/builder/assets/examples/get_telemetry.py
+++ b/builder/assets/examples/get_telemetry.py
--- a/builder/assets/examples/leds.py
+++ b/builder/assets/examples/leds.py
--- a/builder/assets/examples/navigate_wait.py
+++ b/builder/assets/examples/navigate_wait.py
--- a/clover/launch/aruco.launch
+++ b/clover/launch/aruco.launch
@@ -2,30 +2,37 @@
    <arg name="aruco_detect" default="true"/>
    <arg name="aruco_map" default="false"/>
    <arg name="aruco_vpe" default="false"/>
+    <arg name="placement" default="floor"/> <!-- markers placement: floor, ceiling, unknown -->
+    <arg name="length" default="0.33"/> <!-- not-in-map markers length, m -->
+    <arg name="map" default="map.txt"/> <!-- markers map file name -->

    <!-- For additional help go to https://clover.coex.tech/aruco -->

    <!-- aruco_detect: detect aruco markers, estimate poses -->
-    <node name="aruco_detect" pkg="nodelet" if="$(arg aruco_detect)" type="nodelet" args="load aruco_pose/aruco_detect nodelet_manager" output="screen" clear_params="true">
+    <node name="aruco_detect" pkg="nodelet" if="$(arg aruco_detect)" type="nodelet" args="load aruco_pose/aruco_detect main_camera_nodelet_manager" output="screen" clear_params="true" respawn="true">
        <remap from="image_raw" to="main_camera/image_raw"/>
        <remap from="camera_info" to="main_camera/camera_info"/>
        <remap from="map_markers" to="aruco_map/markers" if="$(arg aruco_map)"/>
        <param name="estimate_poses" value="true"/>
        <param name="send_tf" value="true"/>
-        <param name="known_tilt" value="map"/>
-        <param name="length" value="0.33"/>
+        <param name="known_tilt" value="map" if="$(eval placement == 'floor')"/>
+        <param name="known_tilt" value="map_flipped" if="$(eval placement == 'ceiling')"/>
+        <param name="length" value="$(arg length)"/>
        <!-- aruco detector parameters -->
        <param name="cornerRefinementMethod" value="2"/> <!-- contour refinement -->
        <param name="minMarkerPerimeterRate" value="0.075"/> <!-- 0.075 for 320x240, 0.0375 for 640x480 -->
+        <!-- length override example: -->
+        <!-- <param name="length_override/3" value="0.1"/> -->
    </node>

    <!-- aruco_map: estimate aruco map pose -->
-    <node name="aruco_map" pkg="nodelet" type="nodelet" if="$(arg aruco_map)" args="load aruco_pose/aruco_map nodelet_manager" output="screen" clear_params="true">
+    <node name="aruco_map" pkg="nodelet" type="nodelet" if="$(arg aruco_map)" args="load aruco_pose/aruco_map main_camera_nodelet_manager" output="screen" clear_params="true" respawn="true">
        <remap from="image_raw" to="main_camera/image_raw"/>
        <remap from="camera_info" to="main_camera/camera_info"/>
        <remap from="markers" to="aruco_detect/markers"/>
-        <param name="map" value="$(find aruco_pose)/map/map.txt"/>
-        <param name="known_tilt" value="map"/>
+        <param name="map" value="$(find aruco_pose)/map/$(arg map)"/>
+        <param name="known_tilt" value="map" if="$(eval placement == 'floor')"/>
+        <param name="known_tilt" value="map_flipped" if="$(eval placement == 'ceiling')"/>
        <param name="image_axis" value="true"/>
        <param name="frame_id" value="aruco_map_detected" if="$(arg aruco_vpe)"/>
        <param name="frame_id" value="aruco_map" unless="$(arg aruco_vpe)"/>
--- a/clover/launch/clover.launch
+++ b/clover/launch/clover.launch
@@ -36,18 +36,13 @@
    <include file="$(find clover)/launch/aruco.launch" if="$(arg aruco)"/>

    <!-- optical flow -->
-    <node pkg="nodelet" type="nodelet" name="optical_flow" args="load clover/optical_flow nodelet_manager" if="$(arg optical_flow)" clear_params="true" output="screen">
+    <node pkg="nodelet" type="nodelet" name="optical_flow" args="load clover/optical_flow main_camera_nodelet_manager" if="$(arg optical_flow)" clear_params="true" output="screen" respawn="true">
        <remap from="image_raw" to="main_camera/image_raw"/>
        <remap from="camera_info" to="main_camera/camera_info"/>
        <param name="calc_flow_gyro" value="true"/>
        <param name="roi_rad" value="0.8"/>
    </node>

-    <!-- main nodelet manager -->
-    <node pkg="nodelet" type="nodelet" name="nodelet_manager" args="manager" output="screen" clear_params="true">
-        <param name="num_worker_threads" value="2"/>
-    </node>
-
    <node pkg="tf2_ros" type="static_transform_publisher" name="map_flipped_frame" args="0 0 0 3.1415926 3.1415926 0 map map_flipped"/>

    <!-- simplified offboard control -->
--- a/clover/launch/main_camera.launch
+++ b/clover/launch/main_camera.launch
@@ -3,6 +3,7 @@

    <arg name="direction_z" default="down"/> <!-- direction the camera points: down, up -->
    <arg name="direction_y" default="backward"/> <!-- direction the camera cable points: backward, forward -->
+    <arg name="device" default="/dev/video0"/> <!-- v4l2 device -->
    <arg name="simulator" default="false"/>

    <node if="$(eval direction_z == 'down' and direction_y == 'backward')" pkg="tf2_ros" type="static_transform_publisher" name="main_camera_frame" args="0.05 0 -0.07 -1.5707963 0 3.1415926 base_link main_camera_optical"/>
@@ -17,9 +18,14 @@
    <!-- static_transform_publisher arguments: x y z yaw pitch roll frame_id child_frame_id -->
    <!-- <node pkg="tf2_ros" type="static_transform_publisher" name="main_camera_frame" args="0.05 0 -0.07 -1.5707963 0 3.1415926 base_link main_camera_optical"/> -->

+    <!-- camera nodelet manager -->
+    <node pkg="nodelet" type="nodelet" name="main_camera_nodelet_manager" args="manager" output="screen" clear_params="true" respawn="true">
+        <param name="num_worker_threads" value="2"/>
+    </node>
+
    <!-- camera node -->
-    <node pkg="nodelet" type="nodelet" name="main_camera" args="load cv_camera/CvCameraNodelet nodelet_manager" clear_params="true" unless="$(arg simulator)">
-        <param name="device_path" value="/dev/video0"/> <!-- v4l2 device -->
+    <node pkg="nodelet" type="nodelet" name="main_camera" args="load cv_camera/CvCameraNodelet main_camera_nodelet_manager" launch-prefix="rosrun clover waitfile $(arg device)" clear_params="true" unless="$(arg simulator)" respawn="true">
+        <param name="device_path" value="$(arg device)"/>
        <param name="frame_id" value="main_camera_optical"/>
        <param name="camera_info_url" value="file://$(find clover)/camera_info/fisheye_cam.yaml"/>

--- a/clover/package.xml
+++ b/clover/package.xml
@@ -1,5 +1,5 @@
 <?xml version="1.0"?>
-<package format="2">
+<package format="3">
  <name>clover</name>
  <version>0.21.1</version>
  <description>The Clover package</description>
@@ -37,7 +37,8 @@
  <depend>rosbridge_server</depend>
  <depend>web_video_server</depend>
  <depend>tf2_web_republisher</depend>
-  <depend>python-lxml</depend>
+  <depend condition="$ROS_PYTHON_VERSION == 2">python-lxml</depend>
+  <depend condition="$ROS_PYTHON_VERSION == 3">python3-lxml</depend>
  <exec_depend>python-pymavlink</exec_depend>
  <!-- Use test_depend for packages you need only for testing: -->
  <!--   <test_depend>gtest</test_depend> -->
--- a/clover/src/optical_flow.cpp
+++ b/clover/src/optical_flow.cpp
@@ -70,7 +70,6 @@ private:
 		roi_rad_ = nh_priv.param("roi_rad", 0.0);
 		calc_flow_gyro_ = nh_priv.param("calc_flow_gyro", false);

-		img_sub_ = it.subscribeCamera("image_raw", 1, &OpticalFlow::flow, this);
 		img_pub_ = it_priv.advertise("debug", 1);
 		flow_pub_ = nh.advertise<mavros_msgs::OpticalFlowRad>("mavros/px4flow/raw/send", 1);
 		velo_pub_ = nh_priv.advertise<geometry_msgs::TwistStamped>("angular_velocity", 1);
@@ -83,6 +82,8 @@ private:
 		flow_.distance = -1; // no distance sensor available
 		flow_.temperature = 0;

+		img_sub_ = it.subscribeCamera("image_raw", 1, &OpticalFlow::flow, this);
+
 		NODELET_INFO("Optical Flow initialized");
 	}

--- a/clover/src/selfcheck.py
+++ b/clover/src/selfcheck.py
@@ -138,7 +138,7 @@ def mavlink_exec(cmd, timeout=3.0):
        timeout=3,
        baudrate=0,
        count=len(cmd),
-        data=map(ord, cmd.ljust(70, '\0')))
+        data=[ord(c) for c in cmd.ljust(70, '\0')])
    msg.pack(link)
    ros_msg = mavlink.convert_to_rosmsg(msg)
    mavlink_pub.publish(ros_msg)
@@ -609,7 +609,7 @@ def check_rangefinder():

@check('Boot duration')
 def check_boot_duration():
-    output = subprocess.check_output('systemd-analyze')
+    output = subprocess.check_output('systemd-analyze').decode()
    r = re.compile(r'([\d\.]+)s\s*$', flags=re.MULTILINE)
    duration = float(r.search(output).groups()[0])
    if duration > 15:
@@ -620,7 +620,7 @@ def check_boot_duration():
 def check_cpu_usage():
    WHITELIST = 'nodelet',
    CMD = "top -n 1 -b -i | tail -n +8 | awk '{ printf(\"%-8s\\t%-8s\\t%-8s\\n\", $1, $9, $12); }'"
-    output = subprocess.check_output(CMD, shell=True)
+    output = subprocess.check_output(CMD, shell=True).decode()
    processes = output.split('\n')
    for process in processes:
        if not process:
@@ -636,7 +636,7 @@ def check_cpu_usage():
 def check_clover_service():
    try:
        output = subprocess.check_output('systemctl show -p ActiveState --value clover.service'.split(),
-                                         stderr=subprocess.STDOUT)
+                                         stderr=subprocess.STDOUT).decode()
    except subprocess.CalledProcessError as e:
        failure('systemctl returned %s: %s', e.returncode, e.output)
        return
@@ -751,7 +751,7 @@ def check_rpi_health():
        # <parameter>=<value>
        # In case of `get_throttled`, <value> is a hexadecimal number
        # with some of the FLAGs OR'ed together
-        output = subprocess.check_output(['vcgencmd', 'get_throttled'])
+        output = subprocess.check_output(['vcgencmd', 'get_throttled']).decode()
    except OSError:
        failure('could not call vcgencmd binary; not a Raspberry Pi?')
        return
--- a/clover/test/basic.py
+++ b/clover/test/basic.py
@@ -26,5 +26,10 @@ def test_simple_offboard_services_available():
    rospy.wait_for_service('land', timeout=5)

 def test_web_video_server(node):
-    import urllib2
-    urllib2.urlopen("http://localhost:8080").read()
+    try:
+        # Python 2
+        import urllib2 as urllib
+    except ModuleNotFoundError:
+        # Python 3
+        import urllib.request as urllib
+    urllib.urlopen("http://localhost:8080").read()
--- a/clover_blocks/CMakeLists.txt
+++ b/clover_blocks/CMakeLists.txt
@@ -73,6 +73,11 @@ catkin_install_python(PROGRAMS src/clover_blocks
  DESTINATION ${CATKIN_PACKAGE_BIN_DESTINATION}
 )

+# TODO: store programs in home directory?
+install(DIRECTORY programs
+  DESTINATION ${CATKIN_PACKAGE_SHARE_DESTINATION}
+)
+
 #############
 ## Testing ##
 #############
--- a/clover_blocks/src/clover_blocks
+++ b/clover_blocks/src/clover_blocks
@@ -112,7 +112,7 @@ def run(req):
                'print': _print,
                'raw_input': _input}
            try:
-                exec req.code in g
+                exec(req.code, g)
            except Stop:
                rospy.loginfo('Program forced to stop')
            except Exception as e:
@@ -146,6 +146,7 @@ def stop(req):
    return {'success': True}


+# TODO: find dir in installed package
 programs_path = rospy.get_param('~programs_dir', os.path.dirname(os.path.abspath(__file__)) + '/../programs')


--- a/clover_blocks/www/python.js
+++ b/clover_blocks/www/python.js
@@ -391,7 +391,7 @@ Blockly.Python.set_led = function(block) {

 	if (/^'(.*)'$/.test(colorCode)) { // is simple string
 		let color = parseColor(colorCode);
-		return `set_leds([LEDState(index=${index}, r=${color.r}, g=${color.g}, b=${color.b})])\n`;
+		return `set_leds([LEDState(index=int(${index}), r=${color.r}, g=${color.g}, b=${color.b})])\n`; // TODO: check for simple int
 	} else {
 		let parseColor = Blockly.Python.provideFunction_('parse_color', [PARSE_COLOR]);
 		return `set_leds([LEDState(index=${index}, **${parseColor}(${colorCode}))])\n`;
--- a/clover_simulation/src/clover_simulation/init.py
+++ b/clover_simulation/src/clover_simulation/init.py
@@ -88,6 +88,6 @@ def aruco_gen():
                    off_x + marker.x, off_y + marker.y, off_z + marker.z,
                    marker.roll, marker.pitch, marker.yaw)

-        output = open(source_world, 'w') if inplace else stdout
+        output = open(source_world, 'wb') if inplace else stdout

        save_world(world_tree, output)
--- a/docs/assets/copterhack2022.svg
+++ b/docs/assets/copterhack2022.svg
@@ -0,0 +1,43 @@
+<?xml version="1.0" encoding="utf-8"?>
+<!-- Generator: Adobe Illustrator 23.0.1, SVG Export Plug-In . SVG Version: 6.00 Build 0)  -->
+<svg version="1.1" id="Слой_1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
+	 viewBox="0 0 566.93 226.77" style="enable-background:new 0 0 566.93 226.77;" xml:space="preserve">
+<style type="text/css">
+	.st0{fill:#3679BC;}
+	.st1{fill:#27B4AA;}
+</style>
+<g>
+	<polygon class="st0" points="356.5,37.35 287.97,37.35 287.97,56.03 312.9,56.03 312.9,105.92 331.58,105.92 331.58,56.03 
+		356.5,56.03 	"/>
+	<polygon class="st0" points="434.54,56.03 434.54,37.35 366,37.35 366,37.39 365.97,37.39 365.97,105.92 366,105.92 384.65,105.92 
+		434.54,105.92 434.54,87.24 384.65,87.24 384.65,80.99 415.89,80.99 415.89,62.31 384.65,62.31 384.65,56.03 	"/>
+	<polygon class="st0" points="356.55,134.06 356.52,120.82 343.35,120.86 318.39,145.81 306.6,145.81 306.6,120.86 287.92,120.86 
+		287.92,189.39 306.6,189.39 306.6,164.49 318.45,164.49 343.35,189.39 356.52,189.42 356.55,176.18 335.5,155.12 	"/>
+	<path class="st0" d="M88.62,56.3h34.3V37.35h-34.3c-18.94,0-34.3,15.36-34.3,34.3s15.36,34.3,34.3,34.3h34.3V87h-34.3
+		c-8.48,0-15.35-6.87-15.35-15.35C73.28,63.17,80.15,56.3,88.62,56.3z"/>
+	<path class="st0" d="M181.76,155.12v34.3h18.95v-34.3c0-18.94-15.36-34.3-34.3-34.3s-34.3,15.36-34.3,34.3v34.3h18.95v-34.3
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+	<path class="st0" d="M244.21,139.78h34.3v-18.95h-34.3c-18.94,0-34.3,15.36-34.3,34.3s15.36,34.3,34.3,34.3h34.3v-18.95h-34.3
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+	<path class="st1" d="M453.24,145.34c-0.23-13.68-11.67-24.52-25.35-24.52h-24.53v18.68h24.77c3.37,0,6.27,2.59,6.43,5.96
+		c0.17,3.6-2.7,6.56-6.25,6.56h-6.26c-10.32,0-18.68,8.36-18.68,18.68v0v18.65h49.88v-18.65H428.3
+		C442.22,170.71,453.47,159.31,453.24,145.34z"/>
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+	
+		<rect x="375.22" y="120.82" transform="matrix(-1 -1.224647e-16 1.224647e-16 -1 769.1138 266.6382)" class="st1" width="18.68" height="24.99"/>
+	<path class="st0" d="M253.7,37.39v-0.04h-33.19v0.04h-10.61v68.53h18.68V87h25.11c13.7,0,24.81-11.11,24.81-24.81
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+		C259.83,67.37,255.74,71.46,250.69,71.46z"/>
+	<path class="st0" d="M512.61,62.19c0-13.7-11.11-24.81-24.81-24.81v-0.04h-33.19v0.01h-10.61v68.6h18.68V87h17.79l18.92,18.92
+		l13.17,0.03l0.04-13.24l-10.36-10.36C508.52,77.85,512.61,70.5,512.61,62.19z M484.79,71.46
+		C484.79,71.46,484.79,71.46,484.79,71.46h-22.1V53.17h22.1v0.01c0,0,0,0,0,0c5.05,0,9.14,4.09,9.14,9.14
+		C493.92,67.37,489.83,71.46,484.79,71.46z"/>
+</g>
+</svg>
--- a/docs/assets/github_application/create_new_file.png
+++ b/docs/assets/github_application/create_new_file.png
--- a/docs/assets/github_application/github-fork.png
+++ b/docs/assets/github_application/github-fork.png
--- a/docs/assets/github_application/github-pull-request-create.png
+++ b/docs/assets/github_application/github-pull-request-create.png
--- a/docs/assets/github_application/new_article.png
+++ b/docs/assets/github_application/new_article.png
--- a/docs/assets/github_application/propose_new_file.png
+++ b/docs/assets/github_application/propose_new_file.png
--- a/docs/assets/noetic.png
+++ b/docs/assets/noetic.png
--- a/docs/assets/ssid.png
+++ b/docs/assets/ssid.png
--- a/docs/assets/web.png
+++ b/docs/assets/web.png
--- a/docs/assets/wifi-pass.png
+++ b/docs/assets/wifi-pass.png
--- a/docs/assets/wifi-ssid.png
+++ b/docs/assets/wifi-ssid.png
--- a/docs/en/SUMMARY.md
+++ b/docs/en/SUMMARY.md
@@ -91,8 +91,11 @@
  * [Soldering safety](tb.md)
  * [LED strip (legacy)](leds_old.md)
  * [Contribution Guidelines](contributing.md)
+  * [COEX packages repository](packages.md)
  * [Migration to v0.20](migrate20.md)
+  * [Migration to v0.22](migrate22.md)
 * [Events](events.md)
+  * [CopterHack-2022](copterhack2022.md)
  * [CopterHack-2021](copterhack2021.md)
  * [CopterHack-2019](copterhack2019.md)
  * [CopterHack-2018](copterhack2018.md)
--- a/docs/en/aruco_map.md
+++ b/docs/en/aruco_map.md
@@ -1,5 +1,9 @@
 # Map-based navigation with ArUco markers

+> **Note** The following applies to [image versions](image.md) **0.22** and up. Older documentation is still available for [for version **0.20**](https://github.com/CopterExpress/clover/blob/v0.20/docs/en/aruco_map.md).
+
+<!-- -->
+
 > **Info** Marker detection requires the camera module to be correctly plugged in and [configured](camera_setup.md).

 <!-- -->
@@ -39,18 +43,19 @@ marker_id marker_size x y z z_angle y_angle x_angle

 `N_angle` is the angle of rotation along the `N` axis in radians.

-Map path is defined in the `map` parameter:
+Файлы карт располагаются в каталоге `~/catkin_ws/src/clover/aruco_pose/map`. Название файла с картой задается в аргументе `map`:
+Map files are located at the `~/catkin_ws/src/clover/aruco_pose/map` directory. Map file name is defined in the `map` argument:

 ```xml
-<param name="map" value="$(find aruco_pose)/map/map.txt"/>
+<arg name="map" default="map.txt"/>
 ```

-Some map examples are provided in [`~/catkin_ws/src/clover/aruco_pose/map`](https://github.com/CopterExpress/clover/tree/master/aruco_pose/map).
+Some map examples are provided in [the directory](https://github.com/CopterExpress/clover/tree/master/aruco_pose/map).

 Grid maps may be generated using the `genmap.py` script:

 ```bash
-rosrun aruco_pose genmap.py length x y dist_x dist_y first > ~/catkin_ws/src/clover/aruco_pose/map/test_map.txt
+rosrun aruco_pose genmap.py length x y dist_x dist_y first -o test_map.txt
 ```

 `length` is the size of each marker, `x` is the marker count along the *x* axis, `y` is the marker count along the *y* axis, `dist_x` is the distance between the centers of adjacent markers along the *x* axis, `dist_y` is the distance between the centers of the *y* axis, `first` is the ID of the first marker (top left marker, unless `--bottom-left` is specified), `test_map.txt` is the name of the generated map file. The optional `--bottom-left` parameter changes the numbering of markers, making the bottom left marker the first one.
@@ -58,7 +63,7 @@ rosrun aruco_pose genmap.py length x y dist_x dist_y first > ~/catkin_ws/src/clo
 Usage example:

 ```bash
-rosrun aruco_pose genmap.py 0.33 2 4 1 1 0 > ~/catkin_ws/src/clover/aruco_pose/map/test_map.txt
+rosrun aruco_pose genmap.py 0.33 2 4 1 1 0 -o test_map.txt
 ```

 Additional information on the utility can be obtained using `-h` key: `rosrun aruco_pose genmap.py -h`.
@@ -152,10 +157,10 @@ If the drone's altitude is not stable, try increasing the `MPC_Z_VEL_P` paramete

 In order to navigate using markers on the ceiling, mount the onboard camera so that it points up and [adjust the camera frame accordingly](camera_setup.md).

-You should also set the `known_tilt` parameter to `map_flipped` in both `aruco_detect` and `aruco_map` sections of `~/catkin_ws/src/clover/clover/launch/aruco.launch`:
+You should also set the `placement` parameter to `ceilin` in `~/catkin_ws/src/clover/clover/launch/aruco.launch`:

 ```xml
-<param name="known_tilt" value="map_flipped"/>
+<arg name="placement" default="ceiling"/>
 ```

 This will flip the `aruco_map` frame (making its **<font color=blue>z</font>** axis point downward). Thus, in order to fly 2 metres below ceiling, the `z` argument for the `navigate` service should be set to 2:
--- a/docs/en/aruco_marker.md
+++ b/docs/en/aruco_marker.md
@@ -1,5 +1,9 @@
 # ArUco marker detection

+> **Note** The following applies to [image versions](image.md) **0.22** and up. Older documentation is still available for [for version **0.20**](https://github.com/CopterExpress/clover/blob/v0.20/docs/en/aruco_marker.md).
+
+<!-- -->
+
 > **Info** Marker detection requires the camera module to be correctly plugged in and [configured](camera.md).

 `aruco_detect` module detects ArUco markers and publishes their positions in ROS topics and as [TF frames](frames.md).
@@ -22,22 +26,20 @@ For enabling detection set the `aruco_detect` argument in `~/catkin_ws/src/clove
 <arg name="aruco_detect" default="true"/>
 ```

-For the module to work correctly the following parameters should be set:
+For the module to work correctly the following arguments should also be set:

 ```xml
-<param name="length" value="0.32"/>          <!-- length of a single marker, in meters (excluding the white border) -->
-<param name="estimate_poses" value="true"/>  <!-- position estimation for single markers -->
-<param name="send_tf" value="true"/>         <!-- TF frame creation for markers -->
-<param name="known_tilt" value="map"/>       <!-- Marker tilt, explained below -->
+<arg name="placement" default="floor"/> <!-- markers' placement, explained below  -->
+<arg name="length" default="0.33"/>     <!-- length of a single marker, in meters (excluding the white border) -->
 ```

-`known_tilt` should be set to:
+`placement` argument should be set to:

-* `map` if *all* markers are on the ground;
-* `map_flipped` if *all* markers are on the ceiling;
+* `floor` if *all* markers are on the ground;
+* `ceiling` if *all* markers are on the ceiling;
 * an empty string otherwise.

-You may specify length for each marker individually by using the `length_override` parameter:
+You may specify length for each marker individually by using the `length_override` parameter of the node `aruco_detect`:

 ```xml
 <param name="length_override/3" value="0.1"/>    <!-- marker with id=3 has a side of 0.1m -->
@@ -98,9 +100,9 @@ rospy.init_node('my_node')
 # ...

 def markers_callback(msg):
-    print 'Detected markers:':
+    print('Detected markers:'):
    for marker in msg.markers:
-        print 'Marker: %s' % marker
+        print('Marker: %s' % marker)

 # Create a Subscription object. Each time a message is posted in aruco_detect/markers, the markers_callback function is called with this message as its argument.
 rospy.Subscriber('aruco_detect/markers', MarkerArray, markers_callback)
--- a/docs/en/auto_setup.md
+++ b/docs/en/auto_setup.md
@@ -126,7 +126,7 @@ Ctrl+C
 Start a program `myprogram.py` using Python:

 ```bash
-python myprogram.py
+python3 myprogram.py
 ```

 Journal of the events related to `clover` package. Scroll the list by pressing Enter or Ctrl+V (scrolls faster):
@@ -411,7 +411,7 @@ The easiest way to send the program is to copy the content of the program, creat
 - Run the program:

  ```bash
-  python my_program.py
+  python3 my_program.py
  ```

  > **Warning** After completion of the program , the drone can land incorrectly and continue to fly over the floor. In this case, you need to intercept control.
--- a/docs/en/camera.md
+++ b/docs/en/camera.md
@@ -133,12 +133,12 @@ def image_callback(data):
    cv_image = bridge.imgmsg_to_cv2(data, 'bgr8')  # OpenCV image
    barcodes = pyzbar.decode(cv_image)
    for barcode in barcodes:
-        b_data = barcode.data.encode("utf-8")
+        b_data = barcode.data.decode("utf-8")
        b_type = barcode.type
        (x, y, w, h) = barcode.rect
        xc = x + w/2
        yc = y + h/2
-        print ("Found {} with data {} with center at x={}, y={}".format(b_type, b_data, xc, yc))
+        print("Found {} with data {} with center at x={}, y={}".format(b_type, b_data, xc, yc))

 image_sub = rospy.Subscriber('main_camera/image_raw', Image, image_callback, queue_size=1)

@@ -153,3 +153,13 @@ The script will take up to 100% CPU capacity. To slow down the script artificial
 ```

 The topic for the subscriber in this case should be changed for `main_camera/image_raw_throttled`.
+
+## Video recording
+
+To record a video you can use [`video_recorder`](http://wiki.ros.org/image_view#image_view.2Fdiamondback.video_recorder) node from `image_view` package:
+
+```bash
+rosrun image_view video_recorder image:=/main_camera/image_raw
+```
+
+The video file will be saved to a file `output.avi`. The `image` argument contains the name of the topic to record.
--- a/docs/en/cli.md
+++ b/docs/en/cli.md
@@ -39,7 +39,7 @@ cat file.py
 Run `file.py` as a Python script:

 ```bash
-python file.py
+python3 file.py
 ```

 Reboot Raspberry Pi:
--- a/docs/en/contributing.md
+++ b/docs/en/contributing.md
@@ -96,3 +96,7 @@ Prepare your article and send it as a pull request to the [Clover repository](ht
 ## Easy way

 If the above instructions are too difficult for you, send your fixes and new articles by e-mail (<a href="mailto:okalachev@gmail.com">okalachev@gmail.com</a>) or in Telegram messenger (user <a href="tg://resolve?domain=okalachev">@okalachev</a>).
+
+## Publishing packages
+
+You also can publish a package, that extends Clover functionality, into the official [COEX Debian repository](packages.md).
--- a/docs/en/copterhack2022.md
+++ b/docs/en/copterhack2022.md
@@ -0,0 +1,136 @@
+# CopterHack 2022
+
+<img src="../assets/copterhack2022.svg" width=300 align=right>
+
+CopterHack 2022 is an international open-source projects competition on aerial robotics. The mainstream of the CopterHack 2022 is team competition with a free choice of the project topic. In addition, this year we organized a second category, company cases. The competition’s main language is English.
+
+You can see the articles of the CopterHack 2021 finalist teams by the link [CopterHack 2021](copterhack2021.md).
+
+The proposed projects have to be open-source and be compatible with the Clover quadcopter platform. Teams will work on their projects throughout the competition, bringing them closer to the state of the finished product. Industry experts will assist the participants through lectures and regular feedback.
+
+## Company case competition
+
+Teams are welcome to dive into the development of the following company cases:
+
+1. To make a modification of the PX4 firmware version v1.12.0 for Clover.
+2. To develop the PX4v4 flight controller board with the dimensions 55x40 mm and the compatibility of a Raspberry Pi CM 4 installation.
+
+The list of cases will be further expand.
+
+## CopterHack 2022 stages
+
+The qualifying and project development stages are to be held in an online format. The final round is to be made in a hybrid mode (offline + online). The competition involves monthly updates from the teams with regular feedback from the Jury. All teams have to prepare a final video and presentation about the project's results to participate in the final stage.
+
+1. Qualifying stage. Applications are wilcome due October 31, 2021.
+2. Projects development stage. This stage includes monthly updates and mentorship of participants, starts at June 10, 2021, and continuous until February 28, 2022.
+3. All participating teams should shoot the final video to proceed to the final round. Final videos have to be submitted from March 1 up to March 31, 2022.
+4. The final round. Projects presentation at April 9–10, 2022.
+
+## Conditions and criteria for evaluating the final result
+
+General project requirements:
+
+1. Open-source.
+2. Compatibility with the Clover platform.
+
+Criteria for judging the jury at the final:
+
+1. Readiness and the article (max. 10 points): the degree of readiness of the project; an accessible and understandable description of the project in the article; a link to the code with comments, diagrams, drawings. According to the article, it should be possible to reproduce the project and get the result.
+2. Amount of work has been done (max. 6 points): the amount of work has been done by the team in the framework of CopterHack 2022, its complexity, and the technical level.
+3. Usefulness for Clover (max. 6 points): the relevance of the Clover and PX4 platform application in practice, the potential level of demand from other Clover users.
+4. Presentation at the final (max. 3 points): quality and entertainment of the final presentation; completeness of the project coverage; demonstration; answers to the jury's questions.
+
+## Prize fund
+
+The mainstream of the CopterHack 2022 involves the following prizes from COEX based on the results of the jury's evaluation of projects at the final round:
+
+* 1st place: $3000 (USD).
+* 2nd place: $2000 (USD).
+* 3rd place: $1000 (USD).
+* 4th place: $500 (USD).
+* 5th place: $500 (USD).
+
+The competition partners can reward the teams according to additional criteria identified due to the evaluation of projects during the final round.
+
+The company case competition provides a prize of $2500 (USD) from COEX for further project development for the best teams in each cases.
+
+## How to apply?
+
+> **Note** To apply, you should have an account on [GitHub](https://github.com).
+
+Prepare your application and send it as a Draft Pull Request to [Clover repository](https://github.com/CopterExpress/clover)
+
+1. Fork the Clover repository:
+
+    <img src="../assets/github_application/github-fork.png" alt="GitHub Fork">
+
+2. On the web page of your fork, go to the `docs/en ' section and create a new file in the [Markdown] format(http://ru.wikipedia.org/wiki/Markdown):
+
+    <img src="../assets/github_application/create_new_file.png" alt="GitHub Create New File">
+
+3. Enter the title of your article. For example, `new-article.md`
+
+    <img src="../assets/github_application/new_article.png" alt="GitHub New Article">
+
+4. Fill out your application by the recommended template:
+
+    ```markdown
+    # Project name
+
+    [CopterHack-2022](copterhack2022.md), team **Team name**.
+    
+    ## Team information
+
+   The list of team members: 
+    
+    (Describe the team: full name, contacts (e-mail/Telegram username), role in the team).
+
+      * Alexander Sokolov, @aleksandrsokolov111, teamlead;
+      * Elena Smirnova, @elenasmirnova111, Full-stack developer.
+
+    ##  Project description
+
+    ### Project idea
+
+    Briefly describe the idea and stage of the project.
+
+    ### The potential outcomes
+
+    Describe how you see the project result.
+
+    ### Using Clover platform
+
+    Describe how the Clover platform will be used in your project.
+   
+    #### Additional information at the request of participants
+
+    For example, information about the team's experience working on projects, attach a link to articles, videos.
+    ```
+
+5. Go to the bottom of the page and create a new branch with the title of your article:
+
+    <img src="../assets/github_application/propose_new_file.png" alt="GitHub Propose New File">
+
+6. If necessary, place additional visual assets in the `docs/assets` folder and add them to your article.
+
+7. Send a Draft Pull Request from your branch to Clover:
+
+    <img src="../assets/github_application/github-pull-request-create.png" alt="GitHub Create Pull">
+
+8. In the Pull Request comments, you will be given feedback on the application. On the contest page, in the section "Projects of the contest participants", a link to your application in your fork will be published.
+
+9. During the contest, you will work on this document, bringing it closer to the state of the finished article. By the end of the contest, you will publish your article, which will be the result of your work in CopterHack 2022.
+
+As soon as the link to the application is added to this page in the section "Projects of the contest's participants", your team has become an official participant of the CopterHack 2022!
+
+Contest participants will be added to the special Telegram group, where one can send the project's updates and get feedback from the Jury. For the all participating teams, COEX will provide a 50% discount on the Clover drone kit.
+
+> **Info** There are no restrictions on the age, education, and number of people in the team.
+
+## Projects of the contest's participants
+
+Applications will be published as they will become available.
+
+---
+
+For all questions: [CopterHack 2022](https://t.me/CopterHack).
--- a/docs/en/image.md
+++ b/docs/en/image.md
@@ -4,6 +4,8 @@ The RPi image for Clover contains all the necessary software for working with Cl

 ## Usage

+> **Info** Starting from version v0.22, the image is based on ROS Noetic and using Python 3. If you want to use ROS Melodic and Python 2, use version [v0.21.2](https://github.com/CopterExpress/clover/releases/download/v0.21.2/clover_v0.21.2.img.zip).
+
 1. Download the latest stable release of the image – **<a class="latest-image" href="https://github.com/CopterExpress/clover/releases">download</a>**.
 2. Download and install [Etcher](https://www.balena.io/etcher/), the software for flashing images (available for Windows/Linux/macOS).
 3. Put the MicroSD-card into your computer (use an adapter if necessary).
--- a/docs/en/laser.md
+++ b/docs/en/laser.md
@@ -59,7 +59,7 @@ rospy.init_node('flight')

 def range_callback(msg):
    # Process data from the rangefinder
-    print 'Rangefinder distance:', msg.range
+    print('Rangefinder distance:', msg.range)

 rospy.Subscriber('rangefinder/range', Range, range_callback)

--- a/docs/en/migrate20.md
+++ b/docs/en/migrate20.md
@@ -70,56 +70,6 @@ The `~/catkin_ws/src/clever/` directory is renamed to `~/catkin_ws/src/clover`.

 For example, `~/catkin_ws/src/clever/clever/launch/clever.launch` file is now `~/catkin_ws/src/clover/clover/launch/clover.launch`.

-<!--
-## Python 3 transition
-
-Python 2 is depracated since, January 1st, 2020. The Clover platform moves to Python 3.
-
-For running flight script instead of `python` command:
-
-```bash
-python flight.py
-```
-
-use `python3` command:
-
-```bash
-python3 flight.py
-```
-
-Python 3 has certain syntax differences in comparison with the old version. Instead of `print` *operator*:
-
-```python
-print 'Clover is the best'
-```
-
-use `print` *function*:
-
-```python
-print('Clover is the best')
-```
-
-The division operator operates floating points by default (instead of integer). Python 2:
-
-```python
->>> 10 / 4
-2
-```
-
-Python 3:
-
-```python
->>> 10 / 4
-2.5
-```
-
-For strings `unicode` type is used by default (instead of `str` type).
-
-Encoding specification (`# coding: utf8`) is not necessary any more.
-
-More details on all the language changes see in [appropriate article](https://sebastianraschka.com/Articles/2014_python_2_3_key_diff.html).
-->
-
 ## Wi-Fi network configuration

 Wi-Fi networks' SSID is changed to `clover-XXXX` (where X is a random number), password is changed to `cloverwifi`.
--- a/docs/en/migrate22.md
+++ b/docs/en/migrate22.md
@@ -0,0 +1,59 @@
+# Migration to version 0.22
+
+## Python 3 transition
+
+Python 2 is [deprecated](https://www.python.org/doc/sunset-python-2/) since January 1st, 2020. The Clover platform moves to Python 3.
+
+For running flight script instead of `python` command:
+
+```bash
+python flight.py
+```
+
+use `python3` command:
+
+```bash
+python3 flight.py
+```
+
+Python 3 has certain syntax differences in comparison with the old version. Instead of `print` *operator*:
+
+```python
+print 'Clover is the best'  # this won't work
+```
+
+use `print` *function*:
+
+```python
+print('Clover is the best')
+```
+
+The division operator operates floating points by default (instead of integer). Python 2:
+
+```python
+>>> 10 / 4
+2
+```
+
+Python 3:
+
+```python
+>>> 10 / 4
+2.5
+```
+
+For strings `unicode` type is used by default (instead of `str` type).
+
+Encoding specification (`# coding: utf8`) is not necessary any more.
+
+More details on all the language changes see in [appropriate article](https://sebastianraschka.com/Articles/2014_python_2_3_key_diff.html).
+
+## Move to ROS Noetic
+
+<img src="../assets/noetic.png" width=200>
+
+ROS Melodic version was updated to ROS Noetic. See the full list of changes in the [ROS official documentation](http://wiki.ros.org/noetic/Migration).
+
+## Changes in launch-files
+
+Configuration of ArUco-markers navigation is simplified. See details in [markers navigation](aruco_marker.md) and [markers map navigation](aruco_map.md) articles.
--- a/docs/en/packages.md
+++ b/docs/en/packages.md
@@ -0,0 +1,27 @@
+# COEX packages repository
+
+COEX provides an open [Debian-repository](https://wiki.debian.org/DebianRepository) with ROS Noetic related prebuilt binary pacakges for `armhf` architecture.
+
+> **Info** Repository URL: http://packages.coex.tech.
+
+The repository is already addedd in [RPi image](image.md) and may be used for simple installation of additional ROS packages.
+
+## Packages publishing
+
+You can make a Pull Request in a [git repository with packages](https://github.com/CopterExpress/packages), adding or updating your package (a file with `.deb` extension), that relates to Clover or ROS. After merging your package will be available for installation with `apt` utility:
+
+```bash
+sudo apt install ros-noetic-clover-some-feature
+```
+
+Packages, that extend Clover functionality are recommended to be named with `clover_` prefix, e. g. `clover_some_feature`.
+
+## Using on a normal Raspberry Pi OS
+
+On a normal Raspberry Pi OS, the repository may be added to the sources list, this way:
+
+```bash
+wget -O - 'http://packages.coex.tech/key.asc' | apt-key add - 
+echo 'deb http://packages.coex.tech buster main' >> /etc/apt/sources.list
+sudo apt update
+```
--- a/docs/en/programming.md
+++ b/docs/en/programming.md
@@ -42,10 +42,10 @@ Before the first flight it's recommended to check the Clover's configuration wit
 rosrun clover selfcheck.py
 ```

-In order to run a Python script use the `python` command:
+In order to run a Python script use the `python3` command:

 ```bash
-python flight.py
+python3 flight.py
 ```

 Below is a complete flight program that performs a takeoff, flies forward and lands:
--- a/docs/en/ros.md
+++ b/docs/en/ros.md
@@ -63,7 +63,7 @@ An example of subscription to topic `/foo`:

 ```python
 def foo_callback(msg):
-    print msg.data
+    print(msg.data)

 # Subscribing. When a message is received in topic /foo, function foo_callback will be invoked.
 rospy.Subscriber('/foo', String, foo_callback)
--- a/docs/en/simple_offboard.md
+++ b/docs/en/simple_offboard.md
@@ -75,14 +75,14 @@ Displaying drone coordinates `x`, `y` and `z` in the local system of coordinates

 ```python
 telemetry = get_telemetry()
-print telemetry.x, telemetry.y, telemetry.z
+print(telemetry.x, telemetry.y, telemetry.z)
 ```

 Displaying drone altitude relative to [the ArUco map](aruco.md):

 ```python
 telemetry = get_telemetry(frame_id='aruco_map')
-print telemetry.z
+print(telemetry.z)
 ```

 Checking global position availability:
@@ -90,9 +90,9 @@ Checking global position availability:
 ```python
 import math
 if not math.isnan(get_telemetry().lat):
-    print 'Global position is available'
+    print('Global position is available')
 else:
-    print 'No global position'
+    print('No global position')
 ```

 Output of current telemetry (command line):
@@ -303,7 +303,7 @@ Landing the drone:
 res = land()

 if res.success:
-    print 'drone is landing'
+    print('drone is landing')
 ```

 Landing the drone (command line):
--- a/docs/en/snippets.md
+++ b/docs/en/snippets.md
@@ -319,7 +319,7 @@ def flip():
    rospy.loginfo('finish flip')
    set_position(x=start.x, y=start.y, z=start.z, yaw=start.yaw)  # finish flip

-print navigate(z=2, speed=1, frame_id='body', auto_arm=True)  # take off
+print(navigate(z=2, speed=1, frame_id='body', auto_arm=True))  # take off
 rospy.sleep(10)

 rospy.loginfo('flip')
--- a/docs/en/sonar.md
+++ b/docs/en/sonar.md
@@ -83,7 +83,7 @@ pi.callback(ECHO, pigpio.FALLING_EDGE, fall)

 while True:
    # Reading the distance:
-    print read_distance()
+    print(read_distance())

 ```

@@ -104,7 +104,7 @@ def read_distance_filtered():
    return numpy.median(history)

 while True:
-    print read_distance_filtered()
+    print(read_distance_filtered())
 ```

 An example of charts of initial and filtered data:
--- a/docs/en/ssh.md
+++ b/docs/en/ssh.md
@@ -13,7 +13,7 @@ ssh pi@192.168.11.1

 Password: `raspberry`.

-For SSH access from Windows, you may use [PuTTY] (https://www.chiark.greenend.org.uk/~sgtatham/putty/latest.html).
+For SSH access from Windows, you may use [PuTTY](https://www.chiark.greenend.org.uk/~sgtatham/putty/latest.html).

 You can also gain SSH access from your smart-phone using the [Termius](https://www.termius.com) app.

--- a/docs/en/wifi.md
+++ b/docs/en/wifi.md
@@ -7,7 +7,10 @@ Connecting to Clover via Wi-Fi

 Connect to this Wi-Fi using the password `cloverwifi`.

-<img src="../assets/ssid.png" width="300px" alt="Wi-Fi SSID">
+<div class="image-group">
+    <img src="../assets/wifi-ssid.png" width=300 class="zoom">
+    <img src="../assets/wifi-pass.png" width=300 class="zoom">
+</div>

 To edit Wi-Fi settings, or to obtain more detailed information about the network device on Raspberry Pi, read this [article](network.md).

--- a/docs/ru/SUMMARY.md
+++ b/docs/ru/SUMMARY.md
@@ -97,10 +97,13 @@
  * [Подключение регулятора 4 в 1](4in1.md)
  * [Светодиодная лента (legacy)](leds_old.md)
  * [Вклад в Клевер](contributing.md)
+  * [Репозиторий пакетов COEX](packages.md)
  * [Переход на версию 0.20](migrate20.md)
+  * [Переход на версию 0.22](migrate22.md)
  * [COEX DuoCam](duocam.md)
    * [Виртуальная MAVLink-камера](duocam_mavlink.md)
 * [Мероприятия](events.md)
+  * [CopterHack-2022](copterhack2022.md)
  * [CopterHack-2021](copterhack2021.md)
  * [CopterHack-2019](copterhack2019.md)
  * [Олимпиада НТИ 2019](nti2019.md)
--- a/docs/ru/aruco_map.md
+++ b/docs/ru/aruco_map.md
@@ -1,5 +1,9 @@
 # Навигация по картам ArUco-маркеров

+> **Note** Документация для версий [образа](image.md), начиная с версии **0.22**. Для более ранних версий см. [документацию для версии **0.20**](https://github.com/CopterExpress/clover/blob/v0.20/docs/ru/aruco_map.md).
+
+<!-- -->
+
 > **Info** Для распознавания маркеров модуль камеры должен быть корректно подключен и [сконфигурирован](camera.md).

 <!-- -->
@@ -39,18 +43,18 @@ id_маркера размер_маркера x y z угол_z угол_y уго

 Где `угол_N` – это угол поворота маркера вокруг оси N в радианах.

-Путь к файлу с картой задается в параметре `map`:
+Файлы карт располагаются в каталоге `~/catkin_ws/src/clover/aruco_pose/map`. Название файла с картой задается в аргументе `map`:

 ```xml
-<param name="map" value="$(find aruco_pose)/map/map.txt"/>
+<arg name="map" default="map.txt"/>
 ```

-Смотрите примеры карт маркеров в каталоге [`~/catkin_ws/src/clover/aruco_pose/map`](https://github.com/CopterExpress/clover/tree/master/aruco_pose/map).
+Смотрите примеры карт маркеров в [`вышеуказанном каталоге`](https://github.com/CopterExpress/clover/tree/master/aruco_pose/map).

 Файл карты может быть сгенерирован с помощью инструмента `genmap.py`:

 ```bash
-rosrun aruco_pose genmap.py length x y dist_x dist_y first > ~/catkin_ws/src/clover/aruco_pose/map/test_map.txt
+rosrun aruco_pose genmap.py length x y dist_x dist_y first -o test_map.txt
 ```

 Где `length` – размер маркера, `x` – количество маркеров по оси *x*, `y` - количество маркеров по оси *y*, `dist_x` – расстояние между центрами маркеров по оси *x*, `y` – расстояние между центрами маркеров по оси *y*, `first` – ID первого (левого нижнего) маркера, `test_map.txt` – название файла с картой. Дополнительный ключ `--bottom-left` позволяет нумеровать маркеры с левого нижнего угла.
@@ -58,7 +62,7 @@ rosrun aruco_pose genmap.py length x y dist_x dist_y first > ~/catkin_ws/src/clo
 Пример:

 ```bash
-rosrun aruco_pose genmap.py 0.33 2 4 1 1 0 > ~/catkin_ws/src/clover/aruco_pose/map/test_map.txt
+rosrun aruco_pose genmap.py 0.33 2 4 1 1 0 -o test_map.txt
 ```

 Дополнительную информацию по утилите можно получить по ключу `-h`: `rosrun aruco_pose genmap.py -h`.
@@ -154,10 +158,10 @@ navigate(frame_id='aruco_5', x=0, y=0, z=1)

 Для навигации по маркерам, расположенным на потолке, необходимо поставить основную камеру так, чтобы она смотрела вверх и [установить соответствующий фрейм камеры](camera_setup.md#frame).

-Также в файле `~/catkin_ws/src/clover/clover/launch/aruco.launch` необходимо установить параметр `known_tilt` в секциях `aruco_detect` и `aruco_map` в значение `map_flipped`:
+Также в файле `~/catkin_ws/src/clover/clover/launch/aruco.launch` необходимо выставить аргумент `placement` в значение `ceiling`:

 ```xml
-<param name="known_tilt" value="map_flipped"/>
+<arg name="placement" default="ceiling"/>
 ```

 При такой конфигурации фрейм `aruco_map` также окажется перевернутым. Таким образом, для полета на высоту 2 метра ниже потолка, аргумент `z` нужно устанавливать в 2:
--- a/docs/ru/aruco_marker.md
+++ b/docs/ru/aruco_marker.md
@@ -1,5 +1,9 @@
 # Распознавание ArUco-маркеров

+> **Note** Документация для версий [образа](image.md), начиная с версии **0.22**. Для более ранних версий см. [документацию для версии **0.20**](https://github.com/CopterExpress/clover/blob/v0.20/docs/ru/aruco_marker.md).
+
+<!-- -->
+
 > **Info** Для распознавания маркеров модуль камеры должен быть корректно подключен и [сконфигурирован](camera_setup.md).

 Модуль `aruco_detect` распознает ArUco-маркеры и публикует их позиции в ROS-топики и в [TF](frames.md).
@@ -22,22 +26,20 @@
 <arg name="aruco_detect" default="true"/>
 ```

-Для правильной работы в этом же файле в секции `aruco_detect` должны быть выставлены параметры:
+Для правильной работы в этом же файле также должны быть выставлены аргументы:

 ```xml
-<param name="length" value="0.32"/>          <!-- размер маркеров в метрах (не включая белую рамку) -->
-<param name="estimate_poses" value="true"/>  <!-- включение вычисления позиций маркеров -->
-<param name="send_tf" value="true"/>         <!-- отправлять позиции маркеров в виде TF-фреймов -->
-<param name="known_tilt" value="map"/>       <!-- наклон маркеров, см. далее -->
+<arg name="placement" default="floor"/> <!-- расположение маркеров, см. далее -->
+<arg name="length" default="0.33"/>     <!-- размер маркеров в метрах (не включая белую рамку) -->
 ```

-Значение параметра `known_tilt` следует выставлять следующим образом:
+Значение аргумента `placement` следует выставлять следующим образом:

-* если *все* маркеры наклеены на полу (земле), выставить значение `map`;
-* если *все* маркеры наклеены на потолке, выставить значение `map_flipped`;
+* если *все* маркеры наклеены на полу (земле), выставить значение `floor`;
+* если *все* маркеры наклеены на потолке, выставить значение `ceiling`;
 * в противном случае удалить строку с параметром.

-Если некоторые маркеры имеют размер, отличный значения `length`, их размер может быть переопределен с помощью параметра `length_override`:
+Если некоторые маркеры имеют размер, отличный значения `length`, их размер может быть переопределен с помощью параметра `length_override` ноды `aruco_detect`:

 ```xml
 <param name="length_override/3" value="0.1"/>    <!-- маркер c id 3 имеет размер 10 см -->
@@ -110,9 +112,9 @@ rospy.init_node('my_node')
 # ...

 def markers_callback(msg):
-    print 'Detected markers:':
+    print('Detected markers:'):
    for marker in msg.markers:
-        print 'Marker: %s' % marker
+        print('Marker: %s' % marker)

 # Подписываемся. При получении сообщения в топик aruco_detect/markers будет вызвана функция markers_callback.
 rospy.Subscriber('aruco_detect/markers', MarkerArray, markers_callback)
--- a/docs/ru/auto_setup.md
+++ b/docs/ru/auto_setup.md
@@ -126,7 +126,7 @@ Ctrl+C
 Запустить программу myprogram.py на Питоне:

 ```bash
-python myprogram.py
+python3 myprogram.py
 ```

 Журнал событий процессов Клевера. Пролистывать список можно нажатием Enter или сочетанием клавиш Ctrl+V (пролистывает быстрее):
@@ -406,7 +406,7 @@ sudo nano /etc/sudoers
 - Запустите программу. Для этого выполните команду:

  ```bash
-  python my_program.py
+  python3 my_program.py
  ```

  > **Warning** После выполнения программы дрон может некорректно приземлиться и продолжать лететь над полом. В таком случае нужно перехватить управление.
--- a/docs/ru/camera.md
+++ b/docs/ru/camera.md
@@ -135,12 +135,12 @@ def image_callback(data):
    cv_image = bridge.imgmsg_to_cv2(data, 'bgr8')  # OpenCV image
    barcodes = pyzbar.decode(cv_image)
    for barcode in barcodes:
-        b_data = barcode.data.encode("utf-8")
+        b_data = barcode.data.decode("utf-8")
        b_type = barcode.type
        (x, y, w, h) = barcode.rect
        xc = x + w/2
        yc = y + h/2
-        print ("Found {} with data {} with center at x={}, y={}".format(b_type, b_data, xc, yc))
+        print("Found {} with data {} with center at x={}, y={}".format(b_type, b_data, xc, yc))

 image_sub = rospy.Subscriber('main_camera/image_raw', Image, image_callback, queue_size=1)

@@ -155,3 +155,13 @@ rospy.spin()
 ```

 Топик для подписчика в этом случае необходимо поменять на `main_camera/image_raw_throttled`.
+
+## Запись видео
+
+Для записи видео может использована нода [`video_recorder`](http://wiki.ros.org/image_view#image_view.2Fdiamondback.video_recorder) из пакета `image_view`:
+
+```bash
+rosrun image_view video_recorder image:=/main_camera/image_raw
+```
+
+Видео будет сохранено в файл `output.avi`. В аргументе `image` указывается название топика для записи видео.
--- a/docs/ru/cli.md
+++ b/docs/ru/cli.md
@@ -39,7 +39,7 @@ cat file.py
 Запустить Python-скрипт `file.py`:

 ```bash
-python file.py
+python3 file.py
 ```

 Перезагрузить Raspberry Pi:
--- a/docs/ru/contributing.md
+++ b/docs/ru/contributing.md
@@ -96,3 +96,7 @@
 ## Простой способ

 Если вышеприведенные инструкции для вас оказываются слишком сложными, отправляйте правки или новые статьи по e-mail (<a href="mailto:okalachev@gmail.com">okalachev@gmail.com</a>) или в Telegram (пользователь <a href="tg://resolve?domain=okalachev">@okalachev</a>).
+
+## Публикация пакетов
+
+Вы также можете опубликовать собственный пакет, расширяющий функциональность Клевера, в [Debian-репозитории COEX](packages.md).
--- a/docs/ru/copterhack2022.md
+++ b/docs/ru/copterhack2022.md
@@ -0,0 +1,136 @@
+# CopterHack 2022
+
+<img src="../assets/copterhack2022.svg" width=300 align=right>
+
+CopterHack 2022 — это международный конкурс по разработке проектов по летающей робототехнике с открытым исходным кодом. CopterHack 2022 имеет основное направление со свободным выбором темы проекта, а также отдельную номинацию "кейсы компании". Основным языком конкурса является английский.
+
+Ознакомиться со статьями команд-финалистов предыдущего года можно в статье о [CopterHack 2021](copterhack2021.md).
+
+На конкурс принимаются проекты с открытым исходным кодом и совместимые с платформой квадрокоптера "Клевер". На протяжении конкурса команды работают на собственными идеями и разработками, приближая их к состоянию готового продукта. В этом участникам помогают эксперты отрасли через лекции и регулярную обратную связь.
+
+## Направление "кейс компании"
+
+Команды приглашаются принять участие в работе над следующими кейсами компании:
+
+1. Модификация прошивки PX4 версии v1.12.0 под Клевер.
+2. Разработка платы полетного контроллера PX4 v.4 на основе COEX Pix размером 55*40 мм и возможностью установки Raspberry Pi CM4.
+
+Список кейсов может быть расширен.
+
+## Этапы CopterHack 2022
+
+Отборочный и проектный этапы конкурса проходят в онлайн-формате, формат проведения финала – гибридный (оффлайн + онлайн). Конкурс подразумевает ежемесячные апдейты от команд с получением регулярной обратной связи от жюри. Для участия в заключительном этапе необходимо подготовить финальное видео и презентацию о результатах проекта.
+
+1. Отборочный этап. Подача заявок (10 июня — 31 октября 2021).
+2. Проектный этап. Менторство проектов (10 июня 2021 — 28 февраля 2022).
+3. Подготовка финального видео (1 — 31 марта 2022).
+4. Заключительный этап. Финальная защита проектов на английском языке (9 — 10 апреля 2022).
+
+## Условия и критерии оценки
+
+Условия, предъявляемые к проектам:
+
+1. Открытый исходный код/модели/схемы/чертежи.
+2. Совместимость с платформой "Клевер".
+
+Критерии оценивания жюри в финале:
+
+1. Готовность и статья (макс. 10 баллов): степень готовности проекта; доступное и понятное описание проекта в статье; прикреплены код с комментариями, схемы, чертежи. По статье должно быть возможно повторить проект, получить результат.
+2. Объем проделанной работы (макс. 6 баллов): объем проделанной командой работы в рамках CopterHack 2022, ее сложность и технический уровень.
+3. Полезность для Клевера (макс. 6 баллов): актуальность применения на практике в платформе Клевер и PX4, потенциальный уровень спроса на разработку со стороны других пользователей Клевера.
+4. Презентация на финале (макс. 3 балла): качество и зрелищность финальной презентации; полнота освещения проекта; демонстрация; ответы на вопросы жюри.
+
+## Призовой фонд
+
+Основное направление конкурса предполагает следующие призы от компании COEX по результатам оценивания жюри на финале:
+
+* I место: $3000.
+* II место: $2000.
+* III место: $1000.
+* IV место: $500.
+* V место: $500.
+
+Партнеры конкурса могут поощрить команды по дополнительным критериям, выявленным в результате оценки проектов в ходе финала.
+
+Номинация "кейс компании" предоставляет приз от компании COEX для дальнейшего развития проекта в размере $2500 для команды с лучшим результатом по каждому из кейсов.
+
+## Как подать заявку?
+
+> **Note** Для подачи заявки необходимо иметь аккаунт на [GitHub](https://github.com).
+
+Подготовьте вашу заявку и пришлите ее в виде Draft Pull Request в [репозиторий Клевера](https://github.com/CopterExpress/clover).
+
+1. Сделайте форк репозитория Клевера:
+
+    <img src="../assets/github_application/github-fork.png" alt="GitHub Fork">
+
+2. На web странице вашего форка зайдите в раздел `docs/ru` и создайте новый файл в формате [Markdown](https://ru.wikipedia.org/wiki/Markdown):
+
+    <img src="../assets/github_application/create_new_file.png" alt="GitHub Create New File">
+
+3. Введите название вашей статьи. Например, `new-article.md`
+
+    <img src="../assets/github_application/new_article.png" alt="GitHub New Article">
+
+4. Оформите вашу заявку в соответствии с рекомендуемым шаблоном:
+
+    ```markdown
+    # Название проекта
+
+    [CopterHack-2022](copterhack2022.md), команда **Название команды**.
+    
+    ## Информация о команде
+
+    Состав команды: 
+    
+    (Опишите состав команды: имя и фамилия, контакты (e-mail/имя пользователя в Telegram), роль в команде).
+
+      * Александр Соколов, @aleksandrsokolov111, тимлид;
+      * Елена Смирнова, @elenasmirnova111, Full-stack разработчик.
+
+    ## Описание проекта
+
+    ### Идея проекта
+
+    Опишите кратко идею и стадию проекта. 
+
+    ### Планируемые результаты
+
+    Опишите как вы видите результат проекта.
+
+    ### Использование платформы "Клевер"
+
+    Опишите как в вашем проекте будет использоваться платформа "Клевер". 
+   
+    #### Дополнительная информация по желанию участников
+
+    Например, информация об опыте работы команды над проектами, прикрепить ссылку на статьи, видео.
+    ```
+
+5. Перейдите вниз страницы и создайте новую ветку с названием вашей статьи:
+
+    <img src="../assets/github_application/propose_new_file.png" alt="GitHub Propose New File">
+
+6. При необходимости поместите дополнительные визуальные материалы в папку `docs/assets` и оформите на них ссылки в вашей статье.
+
+7. Сделайте Draft Pull Request вашей ветки в master Клевера:
+
+    <img src="../assets/github_application/github-pull-request-create.png" alt="GitHub Create Pull">
+
+8. В комментариях Pull Request вам будет дана обратная связь по заявке. На страничке конкурса в разделе "Проекты участников конкурса" будет опубликована ссылка на вашу заявку в вашем форке.
+
+9. На протяжении конкурса вы будете работать над этим документом, приближая его к состоянию статьи. В документе будет видна история разработки и ежемесячные апдейты. К финалу конкурса вы сможете опубликовать вашу статью, это и будет результат вашей работы в CopterHack.
+
+Как только ссылка на заявку будет добавлена на эту страничку в раздел "Проекты участников конкурса", ваша команда стала официальным участником CopterHack 2022!
+
+Участники конкурса будут добавлены в Telegram-группу, куда можно отправлять первый апдейт и получить обратную связь от Жюри. Для команд-участников предусмотрена скидка 50% на конструктор программируемого квадрокоптера "Клевер".
+
+> **Info** Ограничения по возрасту, образованию и количеству человек в команде отсутствуют.
+
+## Проекты участников конкурса
+
+Заявки будут публиковаться по мере поступления.
+
+---
+
+По всем вопросам: [CopterHack 2022](https://t.me/CopterHack).
--- a/docs/ru/image.md
+++ b/docs/ru/image.md
@@ -4,6 +4,8 @@

 ## Использование

+> **Info** Начиная с версии v0.22, образ основан на ROS Noetic и использует Python 3. Если вы хотите использовать ROS Melodic и Python 2, используйте версию [v0.21.2](https://github.com/CopterExpress/clover/releases/download/v0.21.2/clover_v0.21.2.img.zip).
+
 1. Скачайте последний стабильный релиз образа — **<a class="latest-image" href="https://github.com/CopterExpress/clover/releases">скачать</a>**.
 2. Скачайте и установите [программу для записи образов Etcher](https://www.balena.io/etcher/) (доступна для Windows/Linux/macOS).
 3. Установите MicroSD-карту в компьютер (используйте адаптер при необходимости).
--- a/docs/ru/laser.md
+++ b/docs/ru/laser.md
@@ -59,7 +59,7 @@ rospy.init_node('flight')

 def range_callback(msg):
    # Обработка новых данных с дальномера
-    print 'Rangefinder distance:', msg.range
+    print('Rangefinder distance:', msg.range)

 rospy.Subscriber('rangefinder/range', Range, range_callback)

--- a/docs/ru/leds.md
+++ b/docs/ru/leds.md
@@ -17,7 +17,7 @@
 ## Высокоуровневое управление лентой {#set_effect}

 1. Для работы с лентой подключите ее к питанию +5v – 5v, земле GND – GND и сигнальному порту DIN – GPIO21. Обратитесь [к инструкции по сборке](assemble_4_2.md#установка-led-ленты) для подробностей.
-2. Включите поддержку LED-ленты в файле `~/catkin_ws/src/clever/clever/launch/clever.launch`:
+2. Включите поддержку LED-ленты в файле `~/catkin_ws/src/clever/clever/launch/clover.launch`:

    ```xml
    <arg name="led" default="true"/>
--- a/docs/ru/migrate20.md
+++ b/docs/ru/migrate20.md
@@ -72,56 +72,6 @@ sudo systemctl restart clover

 Например, файл `~/catkin_ws/src/clever/clever/launch/clever.launch` теперь называется `~/catkin_ws/src/clover/clover/launch/clover.launch`.

-<!--
-## Переход на Python 3
-
-Python 2 был признан [устаревшим](https://www.python.org/doc/sunset-python-2/), начиная с 1 января 2020 года. Платформа Клевера переходит на использование Python 3.
-
-Для запуска полетных скриптов вместо команды `python`:
-
-```bash
-python flight.py
-```
-
-теперь следует использовать команду `python3`:
-
-```bash
-python3 flight.py
-```
-
-Синтаксис языка Python 3 имеет определенные изменения по сравнения со второй версией. Вместо *оператора* `print`:
-
-```python
-print 'Clover is the best'
-```
-
-теперь используется *функция* `print`:
-
-```python
-print('Clover is the best')
-```
-
-Оператор деления по умолчанию выполняет деление с плавающей точкой (вместо целочисленного). Python 2:
-
-```python
->>> 10 / 4
-2
-```
-
-Python 3:
-
-```python
->>> 10 / 4
-2.5
-```
-
-Для строк по умолчанию теперь используется тип `unicode` (вместо типа `str`).
-
-Указание кодировки файла (`# coding: utf8`) перестало быть необходимым.
-
-Полное описание всех изменений языка смотрите в [соответствующей статье](https://pythonworld.ru/osnovy/python2-vs-python3-razlichiya-sintaksisa.html).
-->
-
 ## Настройки Wi-Fi сети

 SSID Wi-Fi сети изменен на `clover-XXXX` (где X – случайная цифра), пароль изменен на `cloverwifi`.
--- a/docs/ru/migrate22.md
+++ b/docs/ru/migrate22.md
@@ -0,0 +1,59 @@
+# Переход на версию 0.22
+
+## Переход на Python 3
+
+Python 2 был признан [устаревшим](https://www.python.org/doc/sunset-python-2/), начиная с 1 января 2020 года. Платформа Клевера переходит на использование Python 3.
+
+Для запуска полетных скриптов вместо команды `python`:
+
+```bash
+python flight.py
+```
+
+теперь следует использовать команду `python3`:
+
+```bash
+python3 flight.py
+```
+
+Синтаксис языка Python 3 имеет определенные изменения по сравнения со второй версией. Вместо *оператора* `print`:
+
+```python
+print 'Clover is the best'  # this won't work
+```
+
+теперь используется *функция* `print`:
+
+```python
+print('Clover is the best')
+```
+
+Оператор деления по умолчанию выполняет деление с плавающей точкой (вместо целочисленного). Python 2:
+
+```python
+>>> 10 / 4
+2
+```
+
+Python 3:
+
+```python
+>>> 10 / 4
+2.5
+```
+
+Для строк по умолчанию теперь используется тип `unicode` (вместо типа `str`).
+
+Указание кодировки файла (`# coding: utf8`) перестало быть необходимым.
+
+Полное описание всех изменений языка смотрите в [соответствующей статье](https://pythonworld.ru/osnovy/python2-vs-python3-razlichiya-sintaksisa.html).
+
+## Переход на ROS Noetic
+
+<img src="../assets/noetic.png" width=200>
+
+Версия ROS Melodic обновлена до ROS Noetic. Смотрите полный список изменений в [официальной документации ROS](http://wiki.ros.org/noetic/Migration).
+
+## Изменения в launch-файлах
+
+Упрощено конфигурирование навигации с использованием ArUco-маркеров. Подробнее в статьях по [навигации по маркерам](aruco_marker.md) и [навигации по картам маркеров](aruco_map.md).
--- a/docs/ru/packages.md
+++ b/docs/ru/packages.md
@@ -0,0 +1,27 @@
+# Репозиторий пакетов COEX
+
+COEX предоставляет открытый [Debian-репозиторий](https://wiki.debian.org/ru/SourcesList) с предсобранными пакетами, относящимися к ROS Noetic, для архитектуры `armhf`.
+
+> **Info** Адрес репозитория: http://packages.coex.tech.
+
+Репозиторий подключен в [образе для RPi](image.md) и может быть использован для легкой установки дополнительных ROS-пакетов.
+
+## Публикация пакетов
+
+Вы можете прислать Pull Request в [git-репозиторий с пакетами](https://github.com/CopterExpress/packages), добавляющий или обновляющий ваш пакет (файл с расширением `.deb`), относящийся с Клеверу или ROS. После принятия ваш пакет будет доступен для установки с помощью утилиты `apt`:
+
+```bash
+sudo apt install ros-noetic-clover-some-feature
+```
+
+Пакеты, расширяющие функциональность Клевера, рекомендуется называть с префиксом `clover_`, например `clover_some_feature`.
+
+## Использование на обычной Raspberry Pi OS
+
+На обычной Raspberry Pi OS репозиторий может быть добавлен в список источников пакетов следующими командами:
+
+```bash
+wget -O - 'http://packages.coex.tech/key.asc' | apt-key add - 
+echo 'deb http://packages.coex.tech buster main' >> /etc/apt/sources.list
+sudo apt update
+```
--- a/docs/ru/programming.md
+++ b/docs/ru/programming.md
@@ -42,10 +42,10 @@
 rosrun clover selfcheck.py
 ```

-Для того, чтобы запустить Python-скрипт, используйте команду `python`:
+Для того, чтобы запустить Python-скрипт, используйте команду `python3`:

 ```bash
-python flight.py
+python3 flight.py
 ```

 Пример программы для полета (взлет, пролет вперед, посадка):
--- a/docs/ru/ros.md
+++ b/docs/ru/ros.md
@@ -63,7 +63,7 @@ foo_pub.publish(data='Hello, world!')  # публикуем сообщение

 ```python
 def foo_callback(msg):
-    print msg.data
+    print(msg.data)

 # Подписываемся. При получении сообщения в топик /foo будет вызвана функция foo_callback.
 rospy.Subscriber('/foo', String, foo_callback)
--- a/docs/ru/simple_offboard.md
+++ b/docs/ru/simple_offboard.md
@@ -75,14 +75,14 @@ land = rospy.ServiceProxy('land', Trigger)

 ```python
 telemetry = get_telemetry()
-print telemetry.x, telemetry.y, telemetry.z
+print(telemetry.x, telemetry.y, telemetry.z)
 ```

 Вывод высоты коптера относительно [карты ArUco-меток](aruco.md):

 ```python
 telemetry = get_telemetry(frame_id='aruco_map')
-print telemetry.z
+print(telemetry.z)
 ```

 Проверка доступности глобальной позиции:
@@ -90,9 +90,9 @@ print telemetry.z
 ```python
 import math
 if not math.isnan(get_telemetry().lat):
-    print 'Global position is available'
+    print('Global position is available')
 else:
-    print 'No global position'
+    print('No global position')
 ```

 Вывод текущей телеметрии (командная строка):
@@ -303,7 +303,7 @@ set_velocity(vx=1, vy=0.0, vz=0, frame_id='body')
 res = land()

 if res.success:
-    print 'Copter is landing'
+    print('Copter is landing')
 ```

 Посадка коптера (командная строка):
--- a/docs/ru/snippets.md
+++ b/docs/ru/snippets.md
@@ -337,7 +337,7 @@ def flip():
    rospy.loginfo('finish flip')
    set_position(x=start.x, y=start.y, z=start.z, yaw=start.yaw)  # finish flip

-print navigate(z=2, speed=1, frame_id='body', auto_arm=True)  # take off
+print(navigate(z=2, speed=1, frame_id='body', auto_arm=True))  # take off
 rospy.sleep(10)

 rospy.loginfo('flip')
--- a/docs/ru/sonar.md
+++ b/docs/ru/sonar.md
@@ -83,7 +83,7 @@ pi.callback(ECHO, pigpio.FALLING_EDGE, fall)

 while True:
    # Читаем дистанцию:
-    print read_distance()
+    print(read_distance())

 ```

@@ -104,7 +104,7 @@ def read_distance_filtered():
    return numpy.median(history)

 while True:
-    print read_distance_filtered()
+    print(read_distance_filtered())
 ```

 Пример графиков исходных и отфильтрованных данных:
--- a/docs/ru/wifi.md
+++ b/docs/ru/wifi.md
@@ -6,7 +6,10 @@

 Подключитесь к Wi-Fi, используя пароль `cloverwifi`.

-<img src="../assets/ssid.png" width="300px" alt="Подключение по Wi-Fi">
+<div class="image-group">
+    <img src="../assets/wifi-ssid.png" width=300 class="zoom">
+    <img src="../assets/wifi-pass.png" width=300 class="zoom">
+</div>

 Для изменения настроек Wi-Fi или получения более детальной информации о устройстве сети на Raspberry Pi прочитайте статью "[Настройка Wi-Fi](network.md)".

--- a/roswww_static/CMakeLists.txt
+++ b/roswww_static/CMakeLists.txt
@@ -6,3 +6,7 @@ find_package(catkin REQUIRED)
 catkin_package()

 install(DIRECTORY launch DESTINATION ${CATKIN_PACKAGE_SHARE_DESTINATION})
+
+catkin_install_python(PROGRAMS main.py
+    DESTINATION ${CATKIN_PACKAGE_BIN_DESTINATION}
+)
Author	SHA1	Message	Date
Oleg Kalachev	0666bfdf33	Shrink install lines	2021-06-09 13:43:58 +03:00
Oleg Kalachev	7c57581c33	blocks: install programs directory	2021-06-09 13:40:58 +03:00
Oleg Kalachev	881daaa389	aruco_pose: install library file	2021-06-09 13:34:09 +03:00
Oleg Kalachev	0dcf16de6b	aruco_pose: install launch and map directories	2021-06-09 13:28:49 +03:00
Oleg Kalachev	8abb40249c	Fix	2021-06-09 13:27:16 +03:00
Oleg Kalachev	3ab73edb74	clover: fix installation rc and led	2021-06-09 01:36:50 +03:00
Oleg Kalachev	aeb1c8ac11	builder: source catkin_ws/devel/setup.bash on build	2021-06-09 01:35:12 +03:00
Oleg Kalachev	2d3df6a94e	clover: install nodes and libraries	2021-06-09 01:31:02 +03:00
Oleg Kalachev	0249d01ca7	clover: install launch files and examples	2021-06-09 01:13:15 +03:00
Oleg Kalachev	71100a9545	image: move examples to clover package	2021-06-08 23:06:58 +03:00
Oleg Kalachev	118b4573fe	docs: add link to packages repo	2021-06-08 20:28:38 +03:00
Oleg Kalachev	f77843f4a5	Move ROS Noetic (#327 ) * builder: Use 64-bit Raspberry Pi OS * travis: Use 64-bit builder * builder: Don't try to install Melodic packages on Noetic * clover: Use package version 3, update dependencies * travis: Enable Noetic build * standalone_install: Auto-select Python, ROS distro * builder: Use variable substitution for ROS_DISTRO * builder: Add Noetic package definitions * builder: Use variable substitution for validation * aruco_pose, clover: Allow compiling against OpenCV 3 and 4 * builder: Add proper Noetic repository * builder: Don't force Tornado version Assume rosbridge_suite depends on the right one. * builder: Install packages for Python 3 * builder/test: Use Python3 interpreter for ROS tests TODO (?): add tests for Python2? * builder: Use Python 3 syntax for Python 3 tests * builder: Install rpi_ws281x for Python3 * standalone_install: Use proper Python for pytest * builder: Install espeak for python3 * builder: Use proper path for roscore * builder: Install rosdep, etc. for python3 * builder: Run Clever/Clover test with Python3 * builder: Use Python3 for Clever compat layer * builder: Enable OpenCV 4.2 repository * builder: Force versions for ROS packages that use OpenCV Also, hold their versions so that they don't get updated for no reason. * aruco_pose/draw: Replace OpenCV projection code with a rewrite * builder: Don't try to install compressed_transport twice * clover: Fix importing urllib for Python3 * aruco_pose, clover: Expose Python scripts through CMake * clover/selfcheck: Be more python3-compatible This is basically commit `a01d199890` from buster-python3, not sure if it aged well. * roswww_static: Add python script installation * clover_blocks: Use Python3 syntax for exec * aruco_pose: Remove unused code * Melodic => Noetic in some docs * docs: add 0.22 migration article * docs: remove unneeded comment * docs: python 3 updates * docs: python 3 update in auto_setup article * docs: add ROS Noetic transition note * aruco.launch: add placement, length and map arguments * genmap.py: add -o argument for output file name * docs: use -o argument of genmap.py * simple_offboard: correctly check manual control timeout, separate it from kill switch check * blocks: force led_leds index to int * docs: update and fix 0.22 migration articles * blocks: fix set_leds with color-typed argument * aruco_gen: Open file in binary mode for Python3 compatibility * clover: Use proper variable in aruco.launch * led: change default number of leds to 72 * aruco_pose: Make sure there are no undefined symbols Also, compile in apriltag_quad_thresh.cpp - it contains some of the functions referenced in aruco.cpp, which would otherwise be undefined. * aruco_pose: Make vendored library compatible with older OpenCVs * aruco_pose, clover: Reduce the amount of OpenCV libs requested * aruco_pose, clover: Move subscriptions to the end of init * aruco_pose: Don't expose vendored library symbols * aruco_pose: Simplify dynamic parameter callback setting * builder: Build with debug symbols * clover: Attempt to respawn dying nodelets * Change Raspberry Pi OS to latest armhf, use packages.coex.tech as a source * Add CRYPTOGRAPHY_DONT_BUILD_RUST=1 * Fix Node.js installation * image: use older CMake (3.13.4-1) Fixing https://travis-ci.org/github/CopterExpress/clover/jobs/764367665#L6984 * image: update Raspberry Pi OS to 2021-03-04 * image: bring back moving ld.so.preload out of the way while building * Fix pthreads ld error * Try to fix pthreads ld error * Another attempt to fix pthreads ld error * Yet another attempt to fix pthreads ld error * Try to fix * Be verbose * Temporarily disable rc and camera_markers building * Fix standalone-install * Revert "Temporarily disable rc and camera_markers building" This reverts commit `e119220e91`. * Try to fix * Try to fix * Revert "image: use older CMake (3.13.4-1)" This reverts commit `df28da0060`. * Revert "Revert "image: use older CMake (3.13.4-1)"" This reverts commit `a28c774e8f`. * Verbosity * Debugging * More debugging * Display all CMake variables * Try to fix * Another try to fix * Revert "Another try to fix" This reverts commit `5a4c3a0da7`. * Another try to fix * And another * And yet another * Continue... * Cleanup * Sources lists cleanup * More cleanup * Restore .git directory in clover repo * Fix building documentation * Fix documentation building in image * Trigger build to update ws281x package * Test * Disable unneeded hack * Disable hack * image: add cmake-modules package * www: add viewing clover.err file from web interface * Remove hacks * Show nodelet version * docs: add packages article * image: add image-view package for recording video from topics * Minor fix * CI: add Docker authentication on image build * CI: fix Bash syntax * CI: fix authentication in Docker * CI: move Melodic build and editorconfig-lint to GitHub Actions (#331) * Create main.yml * Update main.yml * Disable native Melodic build in Travis * Run editorconfig-lint in Actions * Let wget be less verbose * Test * Test ok * Disable editorconfig-lint in Travis * docs: add links to hardware sources * CI: move image building to GitHub actions (#335) * Start working on building image in GitHub actions * Trigger GitHub on push to any branch * Fix TRAVIS_TAG * Add compress image step * Disable image build in Travis * Add upload image step * Fix compress image * Fix * Fix * Minor fix * Trigger build on tag * Show images sizes not in human format * Upload only built image * Make prerelease * Upload assets on release not on tags * readme: change build badge to GitHub Actions * readme: add support chat badge * CI: move documentation building to GitHub Actions (#337) * CI: change docs target branch to actions * CI: change docs target branch to master * CI: use gh-pages target branch for docs * CI: split up to several workflows * CI: remove .travis.yml * CI: change apt to apt-get * CI: push documentation site to the main repo * builder: less verbosity * CI: add new key for apt Fixing https://github.com/CopterExpress/clover/runs/2700356960#step:3:74 * Add Noetic building to CI * Add test for QR recognition * Fix * Move QR recognition test to a separate file * Fix QR recognition code for Python 3 * Import SetLEDs, LEDStateArray, LEDState in tests * Add more imports to tests (from documentation) * Fix permissions * Fix standalone-install for Python 2 * Fix QR recognition test * Don’t use ROS for QR recognition test * docs: remove non-working example * Make v4l2 device file an argument in main_camera.launch * Wait for v4l2 device before launching the camera driver * Use exec in waitfile * Transfer main camera nodelet manager to main_camera.launch * Update cv_camera version to 0.5.1 * docs: minor fix * Revert cv_camera to 0.5.0 * Update Raspberry Pi OS to 2021-05-07 * docs: add link to the last ROS Melodic version. Co-authored-by: Alexey Rogachevskiy <sfalexrog@gmail.com>	2021-06-08 20:13:46 +03:00
Oleg Kalachev	5f62a8639a	docs: use -o argument of genmap.py	2021-06-08 19:28:17 +03:00
Oleg Kalachev	fa1db1d90b	genmap.py: add -o argument for output file name	2021-06-08 19:28:09 +03:00
Alexey Rogachevskiy	1a2e87bb6a	aruco_pose, clover: Move subscriptions to the end of init	2021-06-08 19:23:39 +03:00
Oleg Kalachev	7dbd983ec5	Update Raspberry Pi OS to 2021-05-07	2021-06-08 19:10:30 +03:00
Oleg Kalachev	d2d395f1fc	docs: add copterhack-2022 logo	2021-06-08 14:27:37 +03:00
oponfil	ff93f79c0a	docs: some changes to copterhack2022 (#345 ) Have made some changes in text	2021-06-07 19:39:18 +03:00
SeliverstovaE	5deb09eb45	docs: changed the dates for copterhack2022 (#344 )	2021-06-07 19:38:39 +03:00
SeliverstovaE	70b8be5c5d	docs: copterhack 2022 (en) (#343 ) * Create copterhack2022.md * Fixes Co-authored-by: Oleg Kalachev <okalachev@gmail.com>	2021-06-07 12:32:32 +03:00
Oleg Kalachev	2a08e20b47	docs: minor fix	2021-06-07 12:17:24 +03:00
SeliverstovaE	3328d8f4ac	docs: update copterhack 2022 (#341 )	2021-06-05 16:56:00 +03:00
oponfil	f7fb814894	docs: update copterhack 2022(#340 ) Fixed some text phrases	2021-06-05 16:54:54 +03:00
SeliverstovaE	3a3b0bbd80	docs: Copterhack2022 (ru) (#336 ) * Add new article for Clover * Edit article * Optimize images * Remove unused asset Co-authored-by: Oleg Kalachev <okalachev@gmail.com>	2021-06-05 12:06:42 +03:00
Oleg Kalachev	ca095f3f16	docs: update wi-fi screenshots	2021-06-04 09:14:56 +03:00
Oleg Kalachev	baf2467939	docs: minor fix	2021-06-03 17:53:55 +03:00