Compare commits

..

2 Commits

Author SHA1 Message Date
Oleg Kalachev
efaddd34c8 image: enable USB in Compute Module 4 2021-04-02 10:35:49 +03:00
Oleg Kalachev
5d29453ae0 image: build rtl8812au wi-fi driver 2021-04-02 02:31:34 +03:00
69 changed files with 984 additions and 4852 deletions

View File

@@ -21,7 +21,6 @@
"ROS",
"ROS Kinetic",
"ROS Melodic",
"ROS Noetic",
"OpenCV",
"OpenVPN",
"Gazebo",

View File

@@ -68,14 +68,6 @@ jobs:
- docker pull ${NATIVE_DOCKER}
script:
- docker run --rm -v $(pwd):/root/catkin_ws/src/clover ${NATIVE_DOCKER} /root/catkin_ws/src/clover/builder/standalone-install.sh
- stage: Build
name: "Native Noetic build"
env:
- NATIVE_DOCKER=ros:noetic-ros-base
before_script:
- docker pull ${NATIVE_DOCKER}
script:
- docker run --rm -v $(pwd):/root/catkin_ws/src/clover ${NATIVE_DOCKER} /root/catkin_ws/src/clover/builder/standalone-install.sh
- stage: Build
name: "Documentation"
language: node_js
@@ -85,7 +77,6 @@ jobs:
- sudo sh -c "echo ttf-mscorefonts-installer msttcorefonts/accepted-mscorefonts-eula select true | debconf-set-selections"
- sudo apt update && sudo apt install -y calibre msttcorefonts
- npm install gitbook-cli -g
- gitbook fetch 3.2.3 && npm i npm@3.10.10 --prefix=~/.gitbook/versions/3.2.3/ # fixing https://travis-ci.org/github/CopterExpress/clover/jobs/766541125#L932
- npm install markdownlint-cli -g
- npm install svgexport -g
- gitbook -V

View File

@@ -21,12 +21,11 @@ Clover drone is used on a wide range of educational events, including [Copter Ha
Preconfigured image for Raspberry Pi with installed and configured software, ready to fly, is available [in the Releases section](https://github.com/CopterExpress/clover/releases).
[![Build Status](https://travis-ci.org/CopterExpress/clover.svg?branch=master)](https://travis-ci.org/CopterExpress/clover)
![GitHub all releases](https://img.shields.io/github/downloads/CopterExpress/clover/total)
Image features:
* Raspbian Buster
* [ROS Noetic](http://wiki.ros.org/noetic)
* [ROS Melodic](http://wiki.ros.org/melodic)
* Configured networking
* OpenCV
* [`mavros`](http://wiki.ros.org/mavros)

View File

@@ -22,21 +22,13 @@ find_package(catkin REQUIRED COMPONENTS
dynamic_reconfigure
)
# 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 ${_opencv_version} REQUIRED COMPONENTS core imgproc calib3d)
find_package(OpenCV 3 REQUIRED COMPONENTS core imgproc calib3d)
if ("${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 ${_opencv_version} REQUIRED COMPONENTS aruco)
find_package(OpenCV 3 REQUIRED COMPONENTS aruco)
endif()
message(STATUS "OpenCV include dirs: ${OpenCV_INCLUDE_DIRS}")
message(STATUS "OpenCV libraries: ${OpenCV_LIBRARIES}")
@@ -159,9 +151,6 @@ add_library(aruco_pose
add_dependencies(${PROJECT_NAME} ${PROJECT_NAME}_generate_messages_cpp ${PROJECT_NAME}_gencfg)
# FIXME: hack to fix https://travis-ci.org/github/CopterExpress/clover/jobs/766318908#L6532
string(REPLACE "-lpthreads;" "" catkin_LIBRARIES "${catkin_LIBRARIES}")
## Declare a C++ executable
## With catkin_make all packages are built within a single CMake context
## The recommended prefix ensures that target names across packages don't collide
@@ -183,13 +172,6 @@ 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 ##
#############
@@ -225,10 +207,6 @@ set_property(TARGET aruco_pose
# DESTINATION ${CATKIN_PACKAGE_SHARE_DESTINATION}
# )
catkin_install_python(PROGRAMS src/genmap.py
DESTINATION ${CATKIN_PACKAGE_BIN_DESTINATION}
)
#############
## Testing ##
#############

View File

@@ -111,14 +111,17 @@ public:
image_transport::ImageTransport it(nh_);
image_transport::ImageTransport it_priv(nh_priv_);
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));
map_markers_sub_ = nh_.subscribe("map_markers", 1, &ArucoDetect::mapMarkersCallback, this);
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);
map_markers_sub_ = nh_.subscribe("map_markers", 1, &ArucoDetect::mapMarkersCallback, 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);
NODELET_INFO("ready");
}

View File

@@ -124,11 +124,6 @@ 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);
@@ -136,6 +131,11 @@ 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");
}

View File

@@ -3,11 +3,26 @@
#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) {
@@ -127,194 +142,35 @@ void _drawPlanarBoard(Board *_board, Size outSize, OutputArray _img, int marginS
}
}
/**
* @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)
/* 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)
{
// 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);
// If both points are behind the screen, don't draw anything
if (p1.z <= 0 && p2.z <= 0) {
return;
}
else
{
rmat = rvec_64f.clone();
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;
}
}
// 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?
line(image, p1p, p2p, color, thickness, lineType, shift);
}
void _drawAxis(InputOutputArray _image, InputArray _cameraMatrix, InputArray _distCoeffs,
@@ -330,23 +186,647 @@ 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));
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)
{
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);
}
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())
{
_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)));
}
_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 );
}

View File

@@ -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] [-o <filename>]
genmap.py <length> <x> <y> <dist_x> <dist_y> [<first>] [<x0>] [<y0>] [--top-left | --bottom-left]
genmap.py (-h | --help)
Options:
@@ -27,7 +27,6 @@ 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
@@ -35,8 +34,6 @@ Example:
from __future__ import print_function
import sys
from os import path
from docopt import docopt
@@ -52,19 +49,14 @@ 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
output.write('# id\tlength\tx\ty\tz\trot_z\trot_y\trot_x\n')
print('# id\tlength\tx\ty\tz\trot_z\trot_y\trot_x')
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
output.write('{}\t{}\t{}\t{}\t{}\t{}\t{}\t{}\n'.format(first, length, pos_x, pos_y, 0, 0, 0, 0))
print('{}\t{}\t{}\t{}\t{}\t{}\t{}\t{}'.format(first, length, pos_x, pos_y, 0, 0, 0, 0))
first += 1

View File

@@ -7,7 +7,6 @@ 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
@@ -24,7 +23,7 @@ target_compile_definitions(_opencv_aruco PRIVATE
CV_OVERRIDE=override
)
target_compile_options(_opencv_aruco PRIVATE
-fpic -fPIC -fvisibility=hidden
-fpic -fPIC
)
target_include_directories(_opencv_aruco PUBLIC

View File

@@ -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, pts, sizeof(struct pt) * sz);
memcpy(_tmp_stack.data(), 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_, 0, sizeof(rvalloc_[0]) * rvalloc_.size()); // TODO Add AutoBuffer zero fill
struct remove_vertex *rvalloc = rvalloc_;
memset(rvalloc_.data(), 0, sizeof(rvalloc_[0]) * rvalloc_.size()); // TODO Add AutoBuffer zero fill
struct remove_vertex *rvalloc = rvalloc_.data();
cv::AutoBuffer<struct segment, 0> segs_(std::max(1, sz)); // TODO Add AutoBuffer zero fill
memset(segs_, 0, sizeof(segs_[0]) * segs_.size());
struct segment *segs = segs_;
memset(segs_.data(), 0, sizeof(segs_[0]) * segs_.size());
struct segment *segs = segs_.data();
// 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_, 0, sizeof(lfps_[0]) * lfps_.size()); // TODO Add AutoBuffer zero fill
struct line_fit_pt *lfps = lfps_;
memset(lfps_.data(), 0, sizeof(lfps_[0]) * lfps_.size()); // TODO Add AutoBuffer zero fill
struct line_fit_pt *lfps = lfps_.data();
for (int i = 0; i < sz; i++) {
struct pt *p;

View File

@@ -1,4 +1,4 @@
#!/usr/bin/env python3
#!/usr/bin/env python
from distutils.core import setup

View File

@@ -79,4 +79,10 @@ if ! grep -q "^bcm2835-v4l2" /etc/modules;
then printf "bcm2835-v4l2\n" >> /etc/modules
fi
echo_stamp "#8 End of configure hardware interfaces"
echo_stamp "#8 Check if Compute Module 4"
if grep -q "Compute Module 4" "/proc/device-tree/model"; then
echo_stamp "Enable USB on Compute Module 4"
echo "dtoverlay=dwc2,dr_mode=host" >> /boot/config.txt
fi
echo_stamp "#9 End of configure hardware interfaces"

View File

@@ -1,18 +0,0 @@
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]

View File

@@ -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/noetic/setup.sh; ROS_HOSTNAME=`hostname`.local exec roscore"
ExecStart=/bin/sh -c ". /opt/ros/melodic/setup.sh; ROS_HOSTNAME=`hostname`.local exec roscore"
Restart=on-failure
RestartSec=3

View File

@@ -15,8 +15,7 @@
set -e # Exit immidiately on non-zero result
# 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-2021-03-25/2021-03-04-raspios-buster-armhf-lite.zip"
SOURCE_IMAGE="https://downloads.raspberrypi.org/raspios_lite_armhf/images/raspios_lite_armhf-2021-01-12/2021-01-11-raspios-buster-armhf-lite.zip"
export DEBIAN_FRONTEND=${DEBIAN_FRONTEND:='noninteractive'}
export LANG=${LANG:='C.UTF-8'}
@@ -117,7 +116,7 @@ ${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/noetic-rosdep-clover.yaml' '/etc/ros/rosdep/'
${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/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/'

View File

@@ -60,4 +60,25 @@ domain-needed
quiet-dhcp6
EOF
echo_stamp "#4 End of network installation"
echo_stamp "#4 Build the RTL8814AU Wi-Fi adapter driver"
wget http://archive.raspberrypi.org/debian/pool/main/r/raspberrypi-firmware/raspberrypi-kernel-headers_1.20210108-1_armhf.deb
dpkg -i raspberrypi-kernel-headers_1.20210108-1_armhf.deb
cd /home/pi
git clone https://github.com/aircrack-ng/rtl8812au.git --depth=1
cd rtl8812au
echo kernel version: $(uname -r)
echo kernel version from procfs: $(cat /proc/version)
echo version: $(git describe --tags --always)
sed -i 's/CONFIG_PLATFORM_I386_PC = y/CONFIG_PLATFORM_I386_PC = n/g' Makefile # https://github.com/aircrack-ng/rtl8812au#for-raspberry-rpi
sed -i 's/CONFIG_PLATFORM_ARM_RPI = n/CONFIG_PLATFORM_ARM_RPI = y/g' Makefile
# sed -i 's/CONFIG_PLATFORM_ARM64_RPI = n/CONFIG_PLATFORM_ARM64_RPI = y/g' Makefile
apt-cache policy raspberrypi-kernel-headers
# apt-get install -y raspberrypi-kernel-headers=1.20210108 dkms
apt-get install -y dkms
ls /lib/modules
echo make
make KERNEL_VER=5.4.83-v7l+ KVER=5.4.83-v7l+
echo make install
make install KERNEL_VER=5.4.83-v7l+ KVER=5.4.83-v7l+
echo_stamp "#5 End of network installation"

View File

@@ -21,9 +21,6 @@ INSTALL_ROS_PACK_SOURCES=$3
DISCOVER_ROS_PACK=$4
NUMBER_THREADS=$5
# Current ROS distribution
ROS_DISTRO=noetic
echo_stamp() {
# TEMPLATE: echo_stamp <TEXT> <TYPE>
# TYPE: SUCCESS, ERROR, INFO
@@ -71,8 +68,7 @@ my_travis_retry() {
# TODO: 'kinetic-rosdep-clover.yaml' should add only if we use our repo?
echo_stamp "Init rosdep"
my_travis_retry rosdep init
# FIXME: Re-add this after missing packages are built
echo "yaml file:///etc/ros/rosdep/${ROS_DISTRO}-rosdep-clover.yaml" >> /etc/ros/rosdep/sources.list.d/20-default.list
echo "yaml file:///etc/ros/rosdep/melodic-rosdep-clover.yaml" >> /etc/ros/rosdep/sources.list.d/20-default.list
my_travis_retry rosdep update
echo_stamp "Populate rosdep for ROS user"
@@ -80,39 +76,22 @@ 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"
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 "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 "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 ${ROS_DISTRO} --os=debian:buster \
my_travis_retry rosdep install -y --from-paths src --ignore-src --rosdistro melodic --os=debian:buster \
--skip-keys=gazebo_ros --skip-keys=gazebo_plugins
my_travis_retry pip3 install wheel
my_travis_retry pip3 install -r /home/pi/catkin_ws/src/clover/clover/requirements.txt
source /opt/ros/${ROS_DISTRO}/setup.bash
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
# Don't build simulation plugins for actual drone
catkin_make -j2 -DCMAKE_BUILD_TYPE=RelWithDebInfo -DCATKIN_BLACKLIST_PACKAGES=clover_gazebo_plugins
catkin_make -j2 -DCMAKE_BUILD_TYPE=Release -DCATKIN_BLACKLIST_PACKAGES=clover_gazebo_plugins
echo_stamp "Install clever package (for backwards compatibility)"
cd /home/pi/catkin_ws/src/clover/builder/assets/clever
@@ -122,25 +101,29 @@ rm -rf build # remove build artifacts
echo_stamp "Build Clover documentation"
cd /home/pi/catkin_ws/src/clover
NPM_CONFIG_UNSAFE_PERM=true npm install gitbook-cli -g
NPM_CONFIG_UNSAFE_PERM=true gitbook fetch 3.2.3 && npm i npm@3.10.10 --prefix=~/.gitbook/versions/3.2.3/ # fixing https://travis-ci.org/github/CopterExpress/clover/jobs/766541125#L932
NPM_CONFIG_UNSAFE_PERM=true gitbook install
gitbook build
touch node_modules/CATKIN_IGNORE docs/CATKIN_IGNORE _book/CATKIN_IGNORE clover/www/CATKIN_IGNORE apps/CATKIN_IGNORE # ignore documentation files by catkin
echo_stamp "Installing additional ROS packages"
my_travis_retry apt-get install -y --no-install-recommends \
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-${ROS_DISTRO}-rosshow
ros-melodic-dynamic-reconfigure \
ros-melodic-compressed-image-transport \
ros-melodic-rosbridge-suite \
ros-melodic-rosserial \
ros-melodic-usb-cam \
ros-melodic-vl53l1x \
ros-melodic-ws281x \
ros-melodic-rosshow
# TODO move GeographicLib datasets to Mavros debian package
echo_stamp "Install GeographicLib datasets (needed for mavros)" \
&& wget -qO- https://raw.githubusercontent.com/mavlink/mavros/master/mavros/scripts/install_geographiclib_datasets.sh | bash
# FIXME: Buster comes with tornado==5.1.1 but we need tornado==4.2.1 for rosbridge_suite
# (note that Python 3 will still have a more recent version)
pip install tornado==4.2.1
echo_stamp "Running tests"
cd /home/pi/catkin_ws
# FIXME: Investigate failing tests
@@ -157,7 +140,7 @@ cat << EOF >> /home/pi/.bashrc
LANG='C.UTF-8'
LC_ALL='C.UTF-8'
export ROS_HOSTNAME=\`hostname\`.local
source /opt/ros/${ROS_DISTRO}/setup.bash
source /opt/ros/melodic/setup.bash
source /home/pi/catkin_ws/devel/setup.bash
EOF

View File

@@ -64,14 +64,15 @@ 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
wget -O - 'http://packages.coex.tech/key.asc' | apt-key add -
echo 'deb http://packages.coex.tech buster main' >> /etc/apt/sources.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
echo_stamp "Update apt cache"
@@ -98,18 +99,18 @@ tree \
vim \
libjpeg8 \
tcpdump \
ltrace \
libpoco-dev \
libzbar0 \
python3-rosdep \
python3-rosinstall-generator \
python3-wstool \
python3-rosinstall \
python-rosdep \
python-rosinstall-generator \
python-wstool \
python-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 \
@@ -143,7 +144,7 @@ my_travis_retry pip3 install butterfly[systemd]
systemctl enable butterfly.socket
echo_stamp "Install ws281x library"
my_travis_retry pip3 install --prefer-binary rpi_ws281x
my_travis_retry pip install --prefer-binary rpi_ws281x
echo_stamp "Setup Monkey"
mv /etc/monkey/sites/default /etc/monkey/sites/default.orig

View File

@@ -16,9 +16,9 @@ set -ex
echo "Run image tests"
export ROS_DISTRO='noetic'
export ROS_DISTRO='melodic'
export ROS_IP='127.0.0.1'
source /opt/ros/${ROS_DISTRO}/setup.bash
source /opt/ros/melodic/setup.bash
source /home/pi/catkin_ws/devel/setup.bash
cd /home/pi/catkin_ws/src/clover/builder/test/

View File

@@ -5,34 +5,21 @@ set -e
# Step 1: Install pip
apt update
apt install -y curl
curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py
python3 ./get-pip.py
curl https://bootstrap.pypa.io/pip/2.7/get-pip.py -o get-pip.py
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:
${CODENAME}: [ros-${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]
xenial: ros-kinetic-led-msgs
bionic: ros-melodic-led-msgs
debian:
stretch: ros-kinetic-led-msgs
buster: ros-melodic-led-msgs
EOF
apt update
rosdep update
@@ -50,7 +37,7 @@ cd /root/catkin_ws
catkin_make
# Step 4: Run tests
python3 -m pip install --upgrade pytest # TODO: https://github.com/CopterExpress/clover/commit/5b970d51970cfa6f46e5c0b34acb7889d36b89c8
pip install --upgrade pytest
cd /root/catkin_ws
source devel/setup.bash
catkin_make run_tests && catkin_test_results

View File

@@ -1,4 +1,4 @@
#!/usr/bin/env python3
#!/usr/bin/env python
# validate all required modules installed
@@ -28,4 +28,4 @@ import pigpio
# from espeak import espeak
from pyzbar import pyzbar
print(cv2.getBuildInformation())
print cv2.getBuildInformation()

View File

@@ -1,4 +1,4 @@
#!/usr/bin/env python3
#!/usr/bin/env python
# test backwards compatibility

View File

@@ -1,4 +1,4 @@
cmake_minimum_required(VERSION 3.0)
cmake_minimum_required(VERSION 2.8.3)
project(clover)
## Compile as C++11, supported in ROS Kinetic and newer
@@ -30,15 +30,7 @@ list(APPEND CMAKE_MODULE_PATH "${CMAKE_CURRENT_LIST_DIR}/cmake")
find_package(GeographicLib 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 ${_opencv_version} REQUIRED
find_package(OpenCV 3 REQUIRED
COMPONENTS
calib3d
imgproc
@@ -185,9 +177,6 @@ add_executable(clover_led src/led.cpp)
add_executable(shell src/shell.cpp)
# FIXME: hack to fix https://travis-ci.org/github/CopterExpress/clover/jobs/766318908#L6532
string(REPLACE "-lpthreads;" "" catkin_LIBRARIES "${catkin_LIBRARIES}")
target_link_libraries(simple_offboard
${catkin_LIBRARIES}
${GeographicLib_LIBRARIES}
@@ -265,10 +254,6 @@ target_link_libraries(${PROJECT_NAME}
# DESTINATION ${CATKIN_PACKAGE_SHARE_DESTINATION}
# )
catkin_install_python(PROGRAMS src/selfcheck.py
DESTINATION ${CATKIN_PACKAGE_BIN_DESTINATION}
)
# 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)

View File

@@ -4,7 +4,7 @@ A bundle for autonomous navigation and drone control.
## Manual installation
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).
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).
Clone this repo to directory `~/catkin_ws/src/clover`:

View File

@@ -2,37 +2,30 @@
<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="$(arg aruco_detect)" type="nodelet" args="load aruco_pose/aruco_detect nodelet_manager" output="screen" clear_params="true" respawn="true">
<node name="aruco_detect" pkg="nodelet" if="$(arg aruco_detect)" type="nodelet" args="load aruco_pose/aruco_detect nodelet_manager" output="screen" clear_params="true">
<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="$(arg aruco_map)"/>
<param name="estimate_poses" value="true"/>
<param name="send_tf" value="true"/>
<param name="known_tilt" value="map" if="$(eval placement == 'floor')"/>
<param name="known_tilt" value="map_flipped" if="$(eval placement == 'ceiling')"/>
<param name="length" value="$(arg length)"/>
<param name="known_tilt" value="map"/>
<param name="length" value="0.33"/>
<!-- 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="$(arg aruco_map)" args="load aruco_pose/aruco_map nodelet_manager" output="screen" clear_params="true" respawn="true">
<node name="aruco_map" pkg="nodelet" type="nodelet" if="$(arg aruco_map)" args="load aruco_pose/aruco_map nodelet_manager" output="screen" clear_params="true">
<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="$(find aruco_pose)/map/$(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="map" value="$(find aruco_pose)/map/map.txt"/>
<param name="known_tilt" value="map"/>
<param name="image_axis" value="true"/>
<param name="frame_id" value="aruco_map_detected" if="$(arg aruco_vpe)"/>
<param name="frame_id" value="aruco_map" unless="$(arg aruco_vpe)"/>

View File

@@ -37,7 +37,7 @@
<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="$(arg optical_flow)" clear_params="true" output="screen" respawn="true">
<node pkg="nodelet" type="nodelet" name="optical_flow" args="load clover/optical_flow nodelet_manager" if="$(arg optical_flow)" clear_params="true" output="screen">
<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"/>
@@ -45,7 +45,7 @@
</node>
<!-- main nodelet manager -->
<node pkg="nodelet" type="nodelet" name="nodelet_manager" args="manager" output="screen" clear_params="true" respawn="true">
<node pkg="nodelet" type="nodelet" name="nodelet_manager" args="manager" output="screen" clear_params="true">
<param name="num_worker_threads" value="2"/>
</node>

View File

@@ -18,7 +18,7 @@
<!-- <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 node -->
<node pkg="nodelet" type="nodelet" name="main_camera" args="load cv_camera/CvCameraNodelet nodelet_manager" clear_params="true" unless="$(arg simulator)" respawn="true">
<node pkg="nodelet" type="nodelet" name="main_camera" args="load cv_camera/CvCameraNodelet nodelet_manager" clear_params="true" unless="$(arg simulator)">
<param name="device_path" value="/dev/video0"/> <!-- v4l2 device -->
<param name="frame_id" value="main_camera_optical"/>
<param name="camera_info_url" value="file://$(find clover)/camera_info/fisheye_cam.yaml"/>

View File

@@ -1,5 +1,5 @@
<?xml version="1.0"?>
<package format="3">
<package format="2">
<name>clover</name>
<version>0.21.1</version>
<description>The Clover package</description>
@@ -37,8 +37,7 @@
<depend>rosbridge_server</depend>
<depend>web_video_server</depend>
<depend>tf2_web_republisher</depend>
<depend condition="$ROS_PYTHON_VERSION == 2">python-lxml</depend>
<depend condition="$ROS_PYTHON_VERSION == 3">python3-lxml</depend>
<depend>python-lxml</depend>
<exec_depend>python-pymavlink</exec_depend>
<!-- Use test_depend for packages you need only for testing: -->
<!-- <test_depend>gtest</test_depend> -->

View File

@@ -70,6 +70,7 @@ 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);
@@ -82,8 +83,6 @@ 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");
}

View File

@@ -138,7 +138,7 @@ def mavlink_exec(cmd, timeout=3.0):
timeout=3,
baudrate=0,
count=len(cmd),
data=[ord(c) for c in cmd.ljust(70, '\0')])
data=map(ord, 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').decode()
output = subprocess.check_output('systemd-analyze')
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).decode()
output = subprocess.check_output(CMD, shell=True)
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).decode()
stderr=subprocess.STDOUT)
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']).decode()
output = subprocess.check_output(['vcgencmd', 'get_throttled'])
except OSError:
failure('could not call vcgencmd binary; not a Raspberry Pi?')
return

View File

@@ -26,13 +26,8 @@ def test_simple_offboard_services_available():
rospy.wait_for_service('land', timeout=5)
def test_web_video_server(node):
try:
# Python 2
import urllib2 as urllib
except ModuleNotFoundError:
# Python 3
import urllib.request as urllib
urllib.urlopen("http://localhost:8080").read()
import urllib2
urllib2.urlopen("http://localhost:8080").read()
def test_shell(node):
execute = rospy.ServiceProxy('exec', srv.Execute)

View File

@@ -111,7 +111,7 @@ def run(req):
'print': _print,
'raw_input': _input}
try:
exec(req.code, g)
exec req.code in g
except Stop:
rospy.loginfo('Program forced to stop')
except Exception as e:

View File

@@ -391,7 +391,7 @@ Blockly.Python.set_led = function(block) {
if (/^'(.*)'$/.test(colorCode)) { // is simple string
let color = parseColor(colorCode);
return `set_leds([LEDState(index=int(${index}), r=${color.r}, g=${color.g}, b=${color.b})])\n`; // TODO: check for simple int
return `set_leds([LEDState(index=${index}, r=${color.r}, g=${color.g}, b=${color.b})])\n`;
} else {
let parseColor = Blockly.Python.provideFunction_('parse_color', [PARSE_COLOR]);
return `set_leds([LEDState(index=${index}, **${parseColor}(${colorCode}))])\n`;

View File

@@ -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, 'wb') if inplace else stdout
output = open(source_world, 'w') if inplace else stdout
save_world(world_tree, output)

Binary file not shown.

Before

Width:  |  Height:  |  Size: 46 KiB

After

Width:  |  Height:  |  Size: 415 KiB

File diff suppressed because it is too large Load Diff

Binary file not shown.

Before

Width:  |  Height:  |  Size: 8.7 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 48 KiB

View File

@@ -92,7 +92,6 @@
* [LED strip (legacy)](leds_old.md)
* [Contribution Guidelines](contributing.md)
* [Migration to v0.20](migrate20.md)
* [Migration to v0.22](migrate22.md)
* [Events](events.md)
* [CopterHack-2021](copterhack2021.md)
* [CopterHack-2019](copterhack2019.md)

View File

@@ -1,9 +1,5 @@
# 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).
<!-- -->
@@ -43,19 +39,18 @@ 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.
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:
Map path is defined in the `map` parameter:
```xml
<arg name="map" default="map.txt"/>
<param name="map" value="$(find aruco_pose)/map/map.txt"/>
```
Some map examples are provided in [the directory](https://github.com/CopterExpress/clover/tree/master/aruco_pose/map).
Some map examples are provided in [`~/catkin_ws/src/clover/aruco_pose/map`](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 -o test_map.txt
rosrun aruco_pose genmap.py length x y dist_x dist_y first > ~/catkin_ws/src/clover/aruco_pose/map/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.
@@ -63,7 +58,7 @@ rosrun aruco_pose genmap.py length x y dist_x dist_y first -o test_map.txt
Usage example:
```bash
rosrun aruco_pose genmap.py 0.33 2 4 1 1 0 -o test_map.txt
rosrun aruco_pose genmap.py 0.33 2 4 1 1 0 > ~/catkin_ws/src/clover/aruco_pose/map/test_map.txt
```
Additional information on the utility can be obtained using `-h` key: `rosrun aruco_pose genmap.py -h`.
@@ -157,10 +152,10 @@ 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 `placement` parameter to `ceilin` in `~/catkin_ws/src/clover/clover/launch/aruco.launch`:
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`:
```xml
<arg name="placement" default="ceiling"/>
<param name="known_tilt" value="map_flipped"/>
```
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:

View File

@@ -1,9 +1,5 @@
# 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).
@@ -26,20 +22,22 @@ 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 arguments should also be set:
For the module to work correctly the following parameters should be set:
```xml
<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) -->
<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 -->
```
`placement` argument should be set to:
`known_tilt` should be set to:
* `floor` if *all* markers are on the ground;
* `ceiling` if *all* markers are on the ceiling;
* `map` if *all* markers are on the ground;
* `map_flipped` 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 of the node `aruco_detect`:
You may specify length for each marker individually by using the `length_override` parameter:
```xml
<param name="length_override/3" value="0.1"/> <!-- marker with id=3 has a side of 0.1m -->
@@ -100,9 +98,9 @@ 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)

View File

@@ -126,7 +126,7 @@ Ctrl+C
Start a program `myprogram.py` using Python:
```bash
python3 myprogram.py
python 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
python3 my_program.py
python 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.

View File

@@ -138,7 +138,7 @@ def image_callback(data):
(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)

View File

@@ -39,7 +39,7 @@ cat file.py
Run `file.py` as a Python script:
```bash
python3 file.py
python file.py
```
Reboot Raspberry Pi:

View File

@@ -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)

View File

@@ -70,6 +70,56 @@ 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`.

View File

@@ -1,59 +0,0 @@
# 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.

View File

@@ -96,16 +96,6 @@ This page contains models and drawings of some of the drone parts. They can be u
</td>
<td><a href="https://github.com/CopterExpress/clover/raw/master/docs/assets/dxf/4.2/big_leg.dxf"><code>big_leg.dxf</code></a></td>
</tr>
<tr>
<td><img src="../assets/dxf/4.2/grip_spacer.png"></td>
<td>
<b>Grip spacer</b>.<br>
Function: spacer for the gripper plates.<br>
Material: monolithic polycarbonate 2mm.<br>
Quantity: 1 pcs.
</td>
<td><a href="https://github.com/CopterExpress/clover/raw/master/docs/assets/dxf/4.2/grip_spacer.dxf"><code>grip_spacer.dxf</code></a></td>
</tr>
</table>
## Clover 4

View File

@@ -34,10 +34,10 @@ Read more in the [GPS connection](gps.md) article.
> **Info** For studying Python programming language, see [tutorial](https://www.learnpython.org/en/Welcome).
After you've configured your positioning system, you can start writing programs for autonomous flights. Use the [SSH connection to the Raspberry Pi](ssh.md) to run your scripts. In order to run a Python script use the `python3` command:
After you've configured your positioning system, you can start writing programs for autonomous flights. Use the [SSH connection to the Raspberry Pi](ssh.md) to run your scripts. In order to run a Python script use the `python` command:
```bash
python3 flight.py
python flight.py
```
Below is a complete flight program that performs a takeoff, flies forward and lands:

View File

@@ -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)

View File

@@ -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):
@@ -309,7 +309,7 @@ Landing the drone:
res = land()
if res.success:
print('drone is landing')
print 'drone is landing'
```
Landing the drone (command line):

View File

@@ -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')

View File

@@ -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:

View File

@@ -97,7 +97,6 @@
* [Светодиодная лента (legacy)](leds_old.md)
* [Вклад в Клевер](contributing.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)

View File

@@ -1,9 +1,5 @@
# 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).
<!-- -->
@@ -43,18 +39,18 @@ id_маркера размераркера x y z угол_z угол_y уго
Где `угол_N` – это угол поворота маркера вокруг оси N в радианах.
Файлы карт располагаются в каталоге `~/catkin_ws/src/clover/aruco_pose/map`. Название файла с картой задается в аргументе `map`:
Путь к файлу с картой задается в параметре `map`:
```xml
<arg name="map" default="map.txt"/>
<param name="map" value="$(find aruco_pose)/map/map.txt"/>
```
Смотрите примеры карт маркеров в [`вышеуказанном каталоге`](https://github.com/CopterExpress/clover/tree/master/aruco_pose/map).
Смотрите примеры карт маркеров в каталоге [`~/catkin_ws/src/clover/aruco_pose/map`](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 -o test_map.txt
rosrun aruco_pose genmap.py length x y dist_x dist_y first > ~/catkin_ws/src/clover/aruco_pose/map/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.
@@ -62,7 +58,7 @@ rosrun aruco_pose genmap.py length x y dist_x dist_y first -o test_map.txt
Пример:
```bash
rosrun aruco_pose genmap.py 0.33 2 4 1 1 0 -o test_map.txt
rosrun aruco_pose genmap.py 0.33 2 4 1 1 0 > ~/catkin_ws/src/clover/aruco_pose/map/test_map.txt
```
Дополнительную информацию по утилите можно получить по ключу `-h`: `rosrun aruco_pose genmap.py -h`.
@@ -158,10 +154,10 @@ 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 выставить аргумент `placement` в значение `ceiling`:
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`:
```xml
<arg name="placement" default="ceiling"/>
<param name="known_tilt" value="map_flipped"/>
```
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:

View File

@@ -1,9 +1,5 @@
# 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).
@@ -26,20 +22,22 @@
<arg name="aruco_detect" default="true"/>
```
Для правильной работы в этом же файле также должны быть выставлены аргументы:
Для правильной работы в этом же файле в секции `aruco_detect` должны быть выставлены параметры:
```xml
<arg name="placement" default="floor"/> <!-- расположение маркеров, см. далее -->
<arg name="length" default="0.33"/> <!-- размер маркеров в метрах (не включая белую рамку) -->
<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 -->
```
Значение аргумента `placement` следует выставлять следующим образом:
Значение параметра `known_tilt` следует выставлять следующим образом:
* если *все* маркеры наклеены на полу (земле), выставить значение `floor`;
* если *все* маркеры наклеены на потолке, выставить значение `ceiling`;
* если *все* маркеры наклеены на полу (земле), выставить значение `map`;
* если *все* маркеры наклеены на потолке, выставить значение `map_flipped`;
* 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` ноды `aruco_detect`:
Если некоторые маркеры имеют размер, отличный значения `length`, их размер может быть переопределен с помощью параметра `length_override`:
```xml
<param name="length_override/3" value="0.1"/> <!-- маркер c id 3 имеет размер 10 см -->
@@ -112,9 +110,9 @@ 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)

View File

@@ -126,7 +126,7 @@ Ctrl+C
Запустить программу myprogram.py на Питоне:
```bash
python3 myprogram.py
python 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
python3 my_program.py
python my_program.py
```
> **Warning** После выполнения программы дрон может некорректно приземлиться и продолжать лететь над полом. В таком случае нужно перехватить управление.

View File

@@ -140,7 +140,7 @@ def image_callback(data):
(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)

View File

@@ -39,7 +39,7 @@ cat file.py
Запустить Python-скрипт `file.py`:
```bash
python3 file.py
python file.py
```
Перезагрузить Raspberry Pi:

View File

@@ -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)

View File

@@ -72,6 +72,56 @@ 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`.

View File

@@ -1,59 +0,0 @@
# 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).

View File

@@ -96,16 +96,6 @@
</td>
<td><a href="https://github.com/CopterExpress/clover/raw/master/docs/assets/dxf/4.2/big_leg.dxf"><code>big_leg.dxf</code></a></td>
</tr>
<tr>
<td><img src="../assets/dxf/4.2/grip_spacer.png"></td>
<td>
<b>Проставка для захвата</b>.<br>
Функция: Опорный элемент для механического захвата.<br>
Материал: Монолитный поликарбонат 2мм.<br>
Количество: 1 шт.
</td>
<td><a href="https://github.com/CopterExpress/clover/raw/master/docs/assets/dxf/4.2/grip_spacer.dxf"><code>grip_spacer.dxf</code></a></td>
</tr>
</table>
## Клевер 4

View File

@@ -34,10 +34,10 @@
> **Info** Для изучения языка программирования Python обращайтесь к [самоучителю](https://pythonworld.ru/samouchitel-python).
После настройки системы позиционирования становится возможным написание скриптов для автономных полетов. Для выполнения скриптов [подключитесь в Raspberry Pi по SSH](ssh.md). Для того, чтобы запустить Python-скрипт, используйте команду `python3`:
После настройки системы позиционирования становится возможным написание скриптов для автономных полетов. Для выполнения скриптов [подключитесь в Raspberry Pi по SSH](ssh.md). Для того, чтобы запустить Python-скрипт, используйте команду `python`:
```bash
python3 flight.py
python flight.py
```
Пример программы для полета (взлет, пролет вперед, посадка):

View File

@@ -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)

View File

@@ -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):
@@ -309,7 +309,7 @@ set_velocity(vx=0.4, vy=0.0, vz=0, yaw=float('nan'), yaw_rate=0.4, frame_id='bod
res = land()
if res.success:
print('Copter is landing')
print 'Copter is landing'
```
Посадка коптера (командная строка):

View File

@@ -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')

View File

@@ -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:

View File

@@ -6,7 +6,3 @@ 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}
)