void cvTackBarEvents(int pos,void*) {
if (i_threshold_param1 < 3)
i_threshold_param1 = 3;
if (i_threshold_param1 % 2 != 1)
i_threshold_param1++;
if (i_threshold_param2 < 1)
i_threshold_param2 = 1;
threshold_param1 = i_threshold_param1;
threshold_param2 = i_threshold_param2;
marker_dector.setThresholdParams(threshold_param1, threshold_param2);
//recompute
marker_dector.detect(input_image, markers, camera_params);
input_image.copyTo(input_image_copy);
for(unsigned int i=0; i < markers.size(); i++)
markers[i].draw(input_image, Scalar(0, 0, 255), 2);
//draw a 3d cube in each marker if there is 3d info
if (camera_params.isValid())
for(unsigned int i=0; i < markers.size(); i++)
aruco::CvDrawingUtils::draw3dCube(input_image_copy, markers[i], camera_params);
cv::imshow("in", input_image_copy);
cv::imshow("thres", marker_dector.getThresholdedImage());
}
/*!
*
*/
static void cvTrackBarEvents(int ,void*)
{
if (iThresParam1<3)
iThresParam1=3;
if (iThresParam1%2!=1)
iThresParam1++;
if (dThresParam2<1)
dThresParam2=1;
dThresParam1=iThresParam1;
dThresParam2=iThresParam2;
boardDetector.getMarkerDetector().setThresholdParams(dThresParam1,dThresParam2);
//recompute
//Detection of the board
float probDetect=boardDetector.detect( inpImg);
inpImg.copyTo(inpImgCpy);
if (params.isValid() && probDetect>0.2)
aruco::CvDrawingUtils::draw3dAxis(inpImgCpy,boardDetector.getDetectedBoard(),params);
cv::imshow("in",inpImgCpy);
cv::imshow("thres",boardDetector.getMarkerDetector().getThresholdedImage());
}
void image_callback(const sensor_msgs::ImageConstPtr& msg)
{
// double ticksBefore = cv::getTickCount();
static tf::TransformBroadcaster br;
if(cam_info_received)
{
cv_bridge::CvImagePtr cv_ptr;
try
{
cv_ptr = cv_bridge::toCvCopy(msg, sensor_msgs::image_encodings::RGB8);
inImage = cv_ptr->image;
//detection results will go into "markers"
markers.clear();
//Ok, let's detect
mDetector.detect(inImage, markers, camParam, marker_size, false);
//for each marker, draw info and its boundaries in the image
for(size_t i=0; i<markers.size(); ++i)
{
// only publishing the selected marker
if(markers[i].id == marker_id)
{
tf::Transform transform = aruco_ros::arucoMarker2Tf(markers[i]);
tf::StampedTransform stampedTransform(transform, ros::Time::now(),
parent_name, child_name);
br.sendTransform(stampedTransform);
geometry_msgs::PoseStamped poseMsg;
tf::poseTFToMsg(transform, poseMsg.pose);
poseMsg.header.frame_id = parent_name;
poseMsg.header.stamp = ros::Time::now();
pose_pub.publish(poseMsg);
}
// but drawing all the detected markers
markers[i].draw(inImage,Scalar(0,0,255),2);
}
//draw a 3d cube in each marker if there is 3d info
if(camParam.isValid() && marker_size!=-1)
{
for(size_t i=0; i<markers.size(); ++i)
{
//CvDrawingUtils::draw3dCube(inImage, markers[i], camParam);
CvDrawingUtils::draw3dAxis(inImage, markers[i], camParam);
}
}
if(image_pub.getNumSubscribers() > 0)
{
//show input with augmented information
cv_bridge::CvImage out_msg;
out_msg.header.stamp = ros::Time::now();
out_msg.encoding = sensor_msgs::image_encodings::TYPE_8UC3;
out_msg.image = inImage;
image_pub.publish(out_msg.toImageMsg());
}
if(debug_pub.getNumSubscribers() > 0)
{
//show also the internal image resulting from the threshold operation
cv_bridge::CvImage debug_msg;
debug_msg.header.stamp = ros::Time::now();
debug_msg.encoding = sensor_msgs::image_encodings::TYPE_8UC1;
debug_msg.image = mDetector.getThresholdedImage();
debug_pub.publish(debug_msg.toImageMsg());
}
// ROS_INFO("runtime: %f ms",
// 1000*(cv::getTickCount() - ticksBefore)/cv::getTickFrequency());
}
catch (cv_bridge::Exception& e)
{
ROS_ERROR("cv_bridge exception: %s", e.what());
return;
}
}
}
void image_callback(const sensor_msgs::ImageConstPtr& msg)
{
static tf::TransformBroadcaster br;
if(cam_info_received)
{
cv_bridge::CvImagePtr cv_ptr;
try
{
cv_ptr = cv_bridge::toCvCopy(msg, sensor_msgs::image_encodings::RGB8);
inImage = cv_ptr->image;
//detection results will go into "markers"
markers.clear();
//Ok, let's detect
mDetector.detect(inImage, markers, camParam, marker_size, false);
//for each marker, draw info and its boundaries in the image
for(size_t i=0; i<markers.size(); ++i)
{
// only publishing the selected marker
if(markers[i].id == marker_id)
{
tf::Transform transform = aruco_ros::arucoMarker2Tf(markers[i]);
tf::StampedTransform cameraToReference;
cameraToReference.setIdentity();
if ( reference_frame != camera_frame )
{
getTransform(reference_frame,
camera_frame,
cameraToReference);
}
transform =
static_cast<tf::Transform>(cameraToReference)
* static_cast<tf::Transform>(rightToLeft)
* transform;
tf::StampedTransform stampedTransform(transform, ros::Time::now(),
reference_frame, marker_frame);
br.sendTransform(stampedTransform);
geometry_msgs::PoseStamped poseMsg;
tf::poseTFToMsg(transform, poseMsg.pose);
poseMsg.header.frame_id = reference_frame;
poseMsg.header.stamp = ros::Time::now();
pose_pub.publish(poseMsg);
geometry_msgs::TransformStamped transformMsg;
tf::transformStampedTFToMsg(stampedTransform, transformMsg);
transform_pub.publish(transformMsg);
geometry_msgs::Vector3Stamped positionMsg;
positionMsg.header = transformMsg.header;
positionMsg.vector = transformMsg.transform.translation;
position_pub.publish(positionMsg);
}
// but drawing all the detected markers
markers[i].draw(inImage,cv::Scalar(0,0,255),2);
}
//draw a 3d cube in each marker if there is 3d info
if(camParam.isValid() && marker_size!=-1)
{
for(size_t i=0; i<markers.size(); ++i)
{
CvDrawingUtils::draw3dAxis(inImage, markers[i], camParam);
}
}
if(image_pub.getNumSubscribers() > 0)
{
//show input with augmented information
cv_bridge::CvImage out_msg;
out_msg.header.stamp = ros::Time::now();
out_msg.encoding = sensor_msgs::image_encodings::RGB8;
out_msg.image = inImage;
image_pub.publish(out_msg.toImageMsg());
}
if(debug_pub.getNumSubscribers() > 0)
{
//show also the internal image resulting from the threshold operation
cv_bridge::CvImage debug_msg;
debug_msg.header.stamp = ros::Time::now();
debug_msg.encoding = sensor_msgs::image_encodings::MONO8;
debug_msg.image = mDetector.getThresholdedImage();
debug_pub.publish(debug_msg.toImageMsg());
}
}
catch (cv_bridge::Exception& e)
{
ROS_ERROR("cv_bridge exception: %s", e.what());
return;
}
}
}
/*!
*
*/
int main(int argc,char **argv)
{
readArguments(argc,argv);
aruco::BoardConfiguration boardConf;
boardConf.readFromFile(boC->sval[0]);
cv::VideoCapture vcapture;
//read from camera or from file
if (strcmp(inp->sval[0], "live")==0)
{
vcapture.open(0);
vcapture.set(CV_CAP_PROP_FRAME_WIDTH, wid->ival[0]);
vcapture.set(CV_CAP_PROP_FRAME_HEIGHT, hei->ival[0]);
int val = CV_FOURCC('M', 'P', 'E', 'G');
vcapture.set(CV_CAP_PROP_FOURCC, val);
}
else
vcapture.open(inp->sval[0]);
//check video is open
if (!vcapture.isOpened())
{
std::cerr<<"Could not open video"<<std::endl;
return -1;
}
//read first image to get the dimensions
vcapture>>inpImg;
//Open outputvideo
cv::VideoWriter vWriter;
if (out->count)
vWriter.open(out->sval[0], CV_FOURCC('M','J','P','G'), fps->ival[0], inpImg.size());
//read camera parameters if passed
if (intr->count)
{
params.readFromXMLFile(intr->sval[0]);
params.resize(inpImg.size());
}
//Create gui
cv::namedWindow("thres", CV_GUI_NORMAL | CV_WINDOW_AUTOSIZE);
cv::namedWindow("in", CV_GUI_NORMAL | CV_WINDOW_AUTOSIZE);
cvMoveWindow("thres", 0, 0);
cvMoveWindow("in", inpImg.cols + 5, 0);
boardDetector.setParams(boardConf,params,msiz->dval[0]);
boardDetector.getMarkerDetector().getThresholdParams( dThresParam1,dThresParam2);
// boardDetector.getMarkerDetector().enableErosion(true);//for chessboards
iThresParam1=dThresParam1;
iThresParam2=dThresParam2;
cv::createTrackbar("ThresParam1", "in",&iThresParam1, 13, cvTrackBarEvents);
cv::createTrackbar("ThresParam2", "in",&iThresParam2, 13, cvTrackBarEvents);
int index=0;
///////////////
// Main Lopp //
///////////////
while(appRunnin)
{
inpImg.copyTo(inpImgCpy);
index++; //number of images captured
double tick = static_cast<double>(cv::getTickCount());//for checking the speed
float probDetect=boardDetector.detect(inpImg); //Detection of the board
tick=(static_cast<double>(cv::getTickCount())-tick)/cv::getTickFrequency();
std::cout<<"Time detection="<<1000*tick<<" milliseconds"<<std::endl;
//print marker borders
for (unsigned int i=0; i<boardDetector.getDetectedMarkers().size(); i++)
boardDetector.getDetectedMarkers()[i].draw(inpImgCpy,cv::Scalar(0,0,255),1);
//print board
if (params.isValid())
{
if ( probDetect>thre->dval[0])
{
aruco::CvDrawingUtils::draw3dAxis( inpImgCpy,boardDetector.getDetectedBoard(),params);
}
}
//DONE! Easy, right?
//show input with augmented information and the thresholded image
cv::imshow("in",inpImgCpy);
cv::imshow("thres",boardDetector.getMarkerDetector().getThresholdedImage());
// write to video if desired
if (out->count)
{
//create a beautiful composed image showing the thresholded
//first create a small version of the thresholded image
cv::Mat smallThres;
cv::resize(boardDetector.getMarkerDetector().getThresholdedImage(),smallThres,
cv::Size(inpImgCpy.cols/3,inpImgCpy.rows/3));
cv::Mat small3C;
cv::cvtColor(smallThres,small3C,CV_GRAY2BGR);
cv::Mat roi=inpImgCpy(cv::Rect(0,0,inpImgCpy.cols/3,inpImgCpy.rows/3));
small3C.copyTo(roi);
vWriter<<inpImgCpy;
}
processKey(cv::waitKey(waitTime));//wait for key to be pressed
appRunnin &= vcapture.grab();
vcapture.retrieve(inpImg);
}
arg_freetable(argtable,sizeof(argtable)/sizeof(argtable[0]));
return EXIT_SUCCESS;
}
void image_callback(const sensor_msgs::ImageConstPtr& msg)
{
static tf::TransformBroadcaster br;
if(cam_info_received)
{
ros::Time curr_stamp(ros::Time::now());
cv_bridge::CvImagePtr cv_ptr;
try
{
cv_ptr = cv_bridge::toCvCopy(msg, sensor_msgs::image_encodings::RGB8);
inImage = cv_ptr->image;
//detection results will go into "markers"
markers.clear();
//Ok, let's detect
mDetector.detect(inImage, markers, camParam, marker_size, false);
//ROS_INFO("x: %0.3f y: %0.3f z: %0.3f", markers[0].Tvec.at<float>(0,0), markers[0].Tvec.at<float>(0,1), markers[0].Tvec.at<float>(0,2));
//for each marker, draw info and its boundaries in the image
for(size_t i=0; i<markers.size(); ++i)
{
// only publishing the selected marker
//----------------------add all pose messages of markers detected --------------------------------------
//if(markers[i].id == marker_id)
if(markers[i].id == 26 || markers[i].id == 35 || markers[i].id == 58 || markers[i].id == 163 || markers[i].id == 640 || markers[i].id == 512 || markers[i].id == 43 || markers[i].id == 291 || markers[i].id == 355)
{
// by Weiwei
//ROS_INFO("x: %0.3f y: %0.3f z: %0.3f", markers[i].Tvec.at<float>(0,0), markers[i].Tvec.at<float>(0,1), markers[i].Tvec.at<float>(0,2));
//
tf::Transform transform = aruco_ros::arucoMarker2Tf(markers[i]);
tf::StampedTransform cameraToReference;
cameraToReference.setIdentity();
if ( reference_frame != camera_frame )
{
getTransform(reference_frame,
camera_frame,
cameraToReference);
}
transform =
static_cast<tf::Transform>(cameraToReference)
* static_cast<tf::Transform>(rightToLeft)
* transform;
tf::StampedTransform stampedTransform(transform, curr_stamp,
reference_frame, marker_frame);
br.sendTransform(stampedTransform);
geometry_msgs::PoseStamped poseMsg;
tf::poseTFToMsg(transform, poseMsg.pose);
poseMsg.header.frame_id = reference_frame;
poseMsg.header.stamp = curr_stamp;
double aruco_roll_, aruco_pitch_, aruco_yaw_;
tf::Quaternion aruco_quat_;
tf::quaternionMsgToTF(poseMsg.pose.orientation, aruco_quat_);
tf::Matrix3x3(aruco_quat_).getRPY(aruco_roll_, aruco_pitch_, aruco_yaw_);
//ROS_INFO("April Tag RPY: [%0.3f, %0.3f, %0.3f]", aruco_roll_*180/3.1415926, aruco_pitch_*180/3.1415926, aruco_yaw_*180/3.1415926);
//-------------------------unified coordinate systems of pose----------------------------
aruco_yaw_ = aruco_yaw_*180/3.141592;
printf("Original [x, y, yaw] = [%0.3f, %0.3f, %0.3f]\n", poseMsg.pose.position.x, poseMsg.pose.position.y, aruco_yaw_);
if (markers[i].id == 26 || markers[i].id == 58)
{
float PI = 3.1415926;
float ang = PI*3/4;
float x_0 = -0.045;//-0.015;
float y_0 = -0.015;//0.045;
poseMsg.pose.position.x = x_0 + poseMsg.pose.position.x;// + poseMsg.pose.position.x * cos(-ang) - poseMsg.pose.position.y * sin(-ang);
poseMsg.pose.position.y = y_0 + poseMsg.pose.position.y;// + poseMsg.pose.position.x * sin(-ang) + poseMsg.pose.position.y * cos(-ang);
//printf("[x, y] = [%0.3f, %0.3f]\n",poseMsg.pose.position.x, poseMsg.pose.position.y);
aruco_yaw_ = aruco_yaw_ + ang*180/PI;
printf("[x, y, yaw] = [%0.3f, %0.3f, %0.3f]\n",poseMsg.pose.position.x, poseMsg.pose.position.y, aruco_yaw_);
//printf("-----------unify the coordinate system ---------------------\n");
}
//printf("------------------------------------------------------------------\n-----------------aruco_yaw_ = %0.3f\n", aruco_yaw_);
//printf("------------------------------------------------------------------\n");
double temp_x = poseMsg.pose.position.x;
double temp_y = poseMsg.pose.position.y;
poseMsg.pose.position.x = -temp_y;
poseMsg.pose.position.y = -temp_x;
tf::Quaternion quat = tf::createQuaternionFromRPY(aruco_roll_, aruco_pitch_, aruco_yaw_);
poseMsg.pose.orientation.x = quat.x();
poseMsg.pose.orientation.y = quat.y();
poseMsg.pose.orientation.z = quat.z();
poseMsg.pose.orientation.w = quat.w();
pose_pub.publish(poseMsg);
geometry_msgs::TransformStamped transformMsg;
tf::transformStampedTFToMsg(stampedTransform, transformMsg);
transform_pub.publish(transformMsg);
geometry_msgs::Vector3Stamped positionMsg;
positionMsg.header = transformMsg.header;
positionMsg.vector = transformMsg.transform.translation;
position_pub.publish(positionMsg);
}
// but drawing all the detected markers
markers[i].draw(inImage,cv::Scalar(0,0,255),2);
}
//draw a 3d cube in each marker if there is 3d info
if(camParam.isValid() && marker_size!=-1)
{
for(size_t i=0; i<markers.size(); ++i)
{
CvDrawingUtils::draw3dAxis(inImage, markers[i], camParam);
}
}
if(image_pub.getNumSubscribers() > 0)
{
//show input with augmented information
cv_bridge::CvImage out_msg;
out_msg.header.stamp = curr_stamp;
out_msg.encoding = sensor_msgs::image_encodings::RGB8;
out_msg.image = inImage;
image_pub.publish(out_msg.toImageMsg());
}
if(debug_pub.getNumSubscribers() > 0)
{
//show also the internal image resulting from the threshold operation
cv_bridge::CvImage debug_msg;
debug_msg.header.stamp = curr_stamp;
debug_msg.encoding = sensor_msgs::image_encodings::MONO8;
debug_msg.image = mDetector.getThresholdedImage();
debug_pub.publish(debug_msg.toImageMsg());
}
}
catch (cv_bridge::Exception& e)
{
ROS_ERROR("cv_bridge exception: %s", e.what());
return;
}
}
}
void image_callback(const sensor_msgs::ImageConstPtr& msg)
{
double ticksBefore = cv::getTickCount();
static tf::TransformBroadcaster br;
if(cam_info_received)
{
cv_bridge::CvImagePtr cv_ptr;
try
{
cv_ptr = cv_bridge::toCvCopy(msg, sensor_msgs::image_encodings::RGB8);
inImage = cv_ptr->image;
if(normalizeImageIllumination)
{
cv::Mat inImageNorm;
pal_vision_util::dctNormalization(inImage, inImageNorm, dctComponentsToRemove);
inImage = inImageNorm;
}
//detection results will go into "markers"
markers.clear();
//Ok, let's detect
mDetector.detect(inImage, markers, camParam, marker_size);
//for each marker, draw info and its boundaries in the image
for(unsigned int i=0; i<markers.size(); ++i)
{
// only publishing the selected marker
if ( markers[i].id == marker_id1 )
{
tf::Transform transform = aruco_ros::arucoMarker2Tf(markers[i]);
br.sendTransform(tf::StampedTransform(transform, ros::Time::now(),
parent_name, child_name1));
geometry_msgs::Pose poseMsg;
tf::poseTFToMsg(transform, poseMsg);
pose_pub1.publish(poseMsg);
}
else if ( markers[i].id == marker_id2 )
{
tf::Transform transform = aruco_ros::arucoMarker2Tf(markers[i]);
br.sendTransform(tf::StampedTransform(transform, ros::Time::now(),
parent_name, child_name2));
geometry_msgs::Pose poseMsg;
tf::poseTFToMsg(transform, poseMsg);
pose_pub2.publish(poseMsg);
}
// but drawing all the detected markers
markers[i].draw(inImage,Scalar(0,0,255),2);
}
//paint a circle in the center of the image
cv::circle(inImage, cv::Point(inImage.cols/2, inImage.rows/2), 4, cv::Scalar(0,255,0), 1);
if ( markers.size() == 2 )
{
float x[2], y[2], u[2], v[2];
for (unsigned int i = 0; i < 2; ++i)
{
ROS_DEBUG_STREAM("Marker(" << i << ") at camera coordinates = ("
<< markers[i].Tvec.at<float>(0,0) << ", "
<< markers[i].Tvec.at<float>(1,0) << ", "
<< markers[i].Tvec.at<float>(2,0));
//normalized coordinates of the marker
x[i] = markers[i].Tvec.at<float>(0,0)/markers[i].Tvec.at<float>(2,0);
y[i] = markers[i].Tvec.at<float>(1,0)/markers[i].Tvec.at<float>(2,0);
//undistorted pixel
u[i] = x[i]*camParam.CameraMatrix.at<float>(0,0) +
camParam.CameraMatrix.at<float>(0,2);
v[i] = y[i]*camParam.CameraMatrix.at<float>(1,1) +
camParam.CameraMatrix.at<float>(1,2);
}
ROS_DEBUG_STREAM("Mid point between the two markers in the image = ("
<< (x[0]+x[1])/2 << ", " << (y[0]+y[1])/2 << ")");
// //paint a circle in the mid point of the normalized coordinates of both markers
// cv::circle(inImage,
// cv::Point((u[0]+u[1])/2, (v[0]+v[1])/2),
// 3, cv::Scalar(0,0,255), CV_FILLED);
//compute the midpoint in 3D:
float midPoint3D[3]; //3D point
for (unsigned int i = 0; i < 3; ++i )
midPoint3D[i] = ( markers[0].Tvec.at<float>(i,0) +
markers[1].Tvec.at<float>(i,0) ) / 2;
//now project the 3D mid point to normalized coordinates
float midPointNormalized[2];
midPointNormalized[0] = midPoint3D[0]/midPoint3D[2]; //x
midPointNormalized[1] = midPoint3D[1]/midPoint3D[2]; //y
u[0] = midPointNormalized[0]*camParam.CameraMatrix.at<float>(0,0) +
camParam.CameraMatrix.at<float>(0,2);
v[0] = midPointNormalized[1]*camParam.CameraMatrix.at<float>(1,1) +
camParam.CameraMatrix.at<float>(1,2);
ROS_DEBUG_STREAM("3D Mid point between the two markers in undistorted pixel coordinates = ("
<< u[0] << ", " << v[0] << ")");
//paint a circle in the mid point of the normalized coordinates of both markers
cv::circle(inImage,
cv::Point(u[0], v[0]),
3, cv::Scalar(0,0,255), CV_FILLED);
}
//draw a 3d cube in each marker if there is 3d info
if(camParam.isValid() && marker_size!=-1)
{
for(unsigned int i=0; i<markers.size(); ++i)
{
CvDrawingUtils::draw3dCube(inImage, markers[i], camParam);
}
}
if(image_pub.getNumSubscribers() > 0)
{
//show input with augmented information
cv_bridge::CvImage out_msg;
out_msg.header.stamp = ros::Time::now();
out_msg.encoding = sensor_msgs::image_encodings::RGB8;
out_msg.image = inImage;
image_pub.publish(out_msg.toImageMsg());
}
if(debug_pub.getNumSubscribers() > 0)
{
//show also the internal image resulting from the threshold operation
cv_bridge::CvImage debug_msg;
debug_msg.header.stamp = ros::Time::now();
debug_msg.encoding = sensor_msgs::image_encodings::MONO8;
debug_msg.image = mDetector.getThresholdedImage();
debug_pub.publish(debug_msg.toImageMsg());
}
ROS_DEBUG("runtime: %f ms",
1000*(cv::getTickCount() - ticksBefore)/cv::getTickFrequency());
}
catch (cv_bridge::Exception& e)
{
ROS_ERROR("cv_bridge exception: %s", e.what());
return;
}
}
}
void image_callback(const sensor_msgs::ImageConstPtr& msg)
{
static tf::TransformBroadcaster br;
if(cam_info_received_)
{
cv_bridge::CvImagePtr cv_ptr;
try
{
cv_ptr = cv_bridge::toCvCopy(msg, sensor_msgs::image_encodings::RGB8);
inImage_ = cv_ptr->image;
//clear out previous detection results
markers_.clear();
marker_msg_->markers.clear();
//Ok, let's detect
mDetector_.detect(inImage_, markers_, camParam_, marker_size_, false);
marker_msg_->markers.resize(markers_.size());
ros::Time curr_stamp(ros::Time::now());
marker_msg_->header.stamp = curr_stamp;
marker_msg_->header.seq++;
//get the current transform from the camera frame to output ref frame
tf::StampedTransform cameraToReference;
cameraToReference.setIdentity();
if ( reference_frame_ != camera_frame_ )
{
getTransform(reference_frame_,
camera_frame_,
cameraToReference);
}
//Now find the transform for each detected marker
for(size_t i=0; i < markers_.size(); ++i)
{
tf::Transform transform = aruco_ros::arucoMarker2Tf(markers_[i]);
transform = static_cast<tf::Transform>(cameraToReference) * transform;
//Maybe change this to broadcast separate transforms for each marker?
//tf::StampedTransform stampedTransform(transform, curr_stamp,
//reference_frame_, marker_frame_);
//br.sendTransform(stampedTransform);
aruco_msgs::Marker & marker_i = marker_msg_->markers.at(i);
tf::poseTFToMsg(transform, marker_i.pose.pose);
marker_i.header.frame_id = reference_frame_;
marker_i.header.stamp = curr_stamp;
marker_i.id = markers_.at(i).id;
marker_i.confidence = 1.0;
markers_[i].draw(inImage_,cv::Scalar(0,0,255),2);
}
//publish marker array
if (marker_msg_->markers.size() > 0)
marker_pub_.publish(marker_msg_);
//draw a 3d cube in each marker if there is 3d info
if(camParam_.isValid() && marker_size_!=-1)
{
for(size_t i=0; i<markers_.size(); ++i)
aruco::CvDrawingUtils::draw3dAxis(inImage_, markers_[i], camParam_);
}
if(image_pub_.getNumSubscribers() > 0)
{
//show input with augmented information
cv_bridge::CvImage out_msg;
out_msg.header.stamp = curr_stamp;
out_msg.encoding = sensor_msgs::image_encodings::RGB8;
out_msg.image = inImage_;
image_pub_.publish(out_msg.toImageMsg());
}
if(debug_pub_.getNumSubscribers() > 0)
{
//show also the internal image resulting from the threshold operation
cv_bridge::CvImage debug_msg;
debug_msg.header.stamp = curr_stamp;
debug_msg.encoding = sensor_msgs::image_encodings::MONO8;
debug_msg.image = mDetector_.getThresholdedImage();
debug_pub_.publish(debug_msg.toImageMsg());
}
}
catch (cv_bridge::Exception& e)
{
ROS_ERROR("cv_bridge exception: %s", e.what());
}
}
}
void image_callback(const sensor_msgs::ImageConstPtr& msg)
{
static tf::TransformBroadcaster br;
if(!cam_info_received) return;
cv_bridge::CvImagePtr cv_ptr;
try
{
cv_ptr = cv_bridge::toCvCopy(msg, sensor_msgs::image_encodings::RGB8);
inImage = cv_ptr->image;
resultImg = cv_ptr->image.clone();
//detection results will go into "markers"
markers.clear();
//Ok, let's detect
mDetector.detect(inImage, markers, camParam, marker_size, false);
//Detection of the board
float probDetect=the_board_detector.detect(markers, the_board_config, the_board_detected, camParam, marker_size);
if (probDetect > 0.0)
{
foundBoard = true; //added///////////////////////
tf::Transform transform = ar_sys::getTf(the_board_detected.Rvec, the_board_detected.Tvec);
tf::StampedTransform stampedTransform(transform, msg->header.stamp, msg->header.frame_id, board_frame);
if (publish_tf)
br.sendTransform(stampedTransform);
geometry_msgs::PoseStamped poseMsg;
tf::poseTFToMsg(transform, poseMsg.pose);
poseMsg.header.frame_id = msg->header.frame_id;
poseMsg.header.stamp = msg->header.stamp;
pose_pub.publish(poseMsg);
geometry_msgs::TransformStamped transformMsg;
tf::transformStampedTFToMsg(stampedTransform, transformMsg);
transform_pub.publish(transformMsg);
geometry_msgs::Vector3Stamped positionMsg;
positionMsg.header = transformMsg.header;
positionMsg.vector = transformMsg.transform.translation;
position_pub.publish(positionMsg);
std_msgs::Float32 boardSizeMsg;
boardSizeMsg.data=the_board_detected[0].ssize;
boardSize_pub.publish(boardSizeMsg);
}
//ADDED////////////////////////////////////////////////////////////////////////////
if(rvec_pub.getNumSubscribers() > 0 && foundBoard)
{
cv_bridge::CvImage rvecMsg;
rvecMsg.header.frame_id = msg->header.frame_id;
rvecMsg.header.stamp = msg->header.stamp;
rvecMsg.encoding = sensor_msgs::image_encodings::TYPE_32FC1;
rvecMsg.image = the_board_detected[0].Rvec;
rvec_pub.publish(rvecMsg.toImageMsg());
}
if(tvec_pub.getNumSubscribers() > 0 && foundBoard)
{
cv_bridge::CvImage tvecMsg;
tvecMsg.header.frame_id = msg->header.frame_id;
tvecMsg.header.stamp = msg->header.stamp;
tvecMsg.encoding = sensor_msgs::image_encodings::TYPE_32FC1;
tvecMsg.image = the_board_detected[0].Tvec;
tvec_pub.publish(tvecMsg.toImageMsg());
}
///////////////////////////////////////////////////////////////////////////////
//for each marker, draw info and its boundaries in the image
for(size_t i=0; draw_markers && i < markers.size(); ++i)
{
markers[i].draw(resultImg,cv::Scalar(0,0,255),2);
}
if(camParam.isValid() && marker_size != -1)
{
//draw a 3d cube in each marker if there is 3d info
for(size_t i=0; i<markers.size(); ++i)
{
if (draw_markers_cube) CvDrawingUtils::draw3dCube(resultImg, markers[i], camParam);
if (draw_markers_axis) CvDrawingUtils::draw3dAxis(resultImg, markers[i], camParam);
}
//draw board axis
if (probDetect > 0.0)
{
CvDrawingUtils::draw3dAxis(resultImg, the_board_detected, camParam);
}
}
if(image_pub.getNumSubscribers() > 0)
{
//show input with augmented information
cv_bridge::CvImage out_msg;
out_msg.header.frame_id = msg->header.frame_id;
out_msg.header.stamp = msg->header.stamp;
out_msg.encoding = sensor_msgs::image_encodings::RGB8;
out_msg.image = resultImg;
image_pub.publish(out_msg.toImageMsg());
}
if(debug_pub.getNumSubscribers() > 0)
{
//show also the internal image resulting from the threshold operation
cv_bridge::CvImage debug_msg;
debug_msg.header.frame_id = msg->header.frame_id;
debug_msg.header.stamp = msg->header.stamp;
debug_msg.encoding = sensor_msgs::image_encodings::MONO8;
debug_msg.image = mDetector.getThresholdedImage();
debug_pub.publish(debug_msg.toImageMsg());
}
}
catch (cv_bridge::Exception& e)
{
ROS_ERROR("cv_bridge exception: %s", e.what());
return;
}
}
void image_callback(const sensor_msgs::ImageConstPtr& msg)
{
if(!cam_info_received) return;
cv_bridge::CvImagePtr cv_ptr;
try
{
cv_ptr = cv_bridge::toCvCopy(msg, sensor_msgs::image_encodings::RGB8);
inImage = cv_ptr->image;
resultImg = cv_ptr->image.clone();
//detection results will go into "markers"
markers.clear();
//Ok, let's detect
double min_size = boards[0].marker_size;
for (int board_index = 1; board_index < boards.size(); board_index++)
if (min_size > boards[board_index].marker_size) min_size = boards[board_index].marker_size;
mDetector.detect(inImage, markers, camParam, min_size, false);
for (int board_index = 0; board_index < boards.size(); board_index++)
{
Board board_detected;
//Detection of the board
float probDetect = the_board_detector.detect(markers, boards[board_index].config, board_detected, camParam, boards[board_index].marker_size);
if (probDetect > 0.0)
{
tf::Transform transform = ar_sys::getTf(board_detected.Rvec, board_detected.Tvec);
tf::StampedTransform stampedTransform(transform, ros::Time::now(), "apollon_cam_right", boards[board_index].name +"_right");
//_tfBraodcaster.sendTransform(stampedTransform); // from phillip
/*geometry_msgs::PoseStamped poseMsg;
tf::poseTFToMsg(transform, poseMsg.pose);
poseMsg.header.frame_id = msg->header.frame_id;
poseMsg.header.stamp = msg->header.stamp;
pose_pub.publish(poseMsg);*/
geometry_msgs::TransformStamped transformMsg;
tf::transformStampedTFToMsg(stampedTransform, transformMsg);
transform_pub.publish(transformMsg);
/*geometry_msgs::Vector3Stamped positionMsg;
positionMsg.header = transformMsg.header;
positionMsg.vector = transformMsg.transform.translation;
position_pub.publish(positionMsg);*/
if(camParam.isValid())
{
//draw board axis
CvDrawingUtils::draw3dAxis(resultImg, board_detected, camParam);
}
}
}
//for each marker, draw info and its boundaries in the image
for(size_t i=0; draw_markers && i < markers.size(); ++i)
{
markers[i].draw(resultImg,cv::Scalar(0,0,255),2);
}
if(camParam.isValid())
{
//draw a 3d cube in each marker if there is 3d info
for(size_t i=0; i<markers.size(); ++i)
{
if (draw_markers_cube) CvDrawingUtils::draw3dCube(resultImg, markers[i], camParam);
if (draw_markers_axis) CvDrawingUtils::draw3dAxis(resultImg, markers[i], camParam);
}
}
if(image_pub.getNumSubscribers() > 0)
{
//show input with augmented information
cv_bridge::CvImage out_msg;
out_msg.header.frame_id = msg->header.frame_id;
out_msg.header.stamp = msg->header.stamp;
out_msg.encoding = sensor_msgs::image_encodings::RGB8;
out_msg.image = resultImg;
image_pub.publish(out_msg.toImageMsg());
}
if(debug_pub.getNumSubscribers() > 0)
{
//show also the internal image resulting from the threshold operation
cv_bridge::CvImage debug_msg;
debug_msg.header.frame_id = msg->header.frame_id;
debug_msg.header.stamp = msg->header.stamp;
debug_msg.encoding = sensor_msgs::image_encodings::MONO8;
debug_msg.image = mDetector.getThresholdedImage();
debug_pub.publish(debug_msg.toImageMsg());
}
}
catch (cv_bridge::Exception& e)
{
ROS_ERROR("cv_bridge exception: %s", e.what());
return;
}
}
void Marker::calculateExtrinsics(float markerSize,const aruco::CameraParameters &CP)throw(cv::Exception)
{
if (!CP.isValid()) throw cv::Exception(9004,"!CP.isValid(): invalid camera parameters. It is not possible to calculate extrinsics","calculateExtrinsics",__FILE__,__LINE__);
calculateExtrinsics( markerSize,CP.CameraMatrix,CP.Distorsion);
}
int main() {
// 打开摄像头
video_capture.open(0);
if (!video_capture.isOpened()){
std::cerr << "Could not open video" << endl;
return -1;
}
// 获取第一张图像，用于这设置参数
video_capture >> input_image;
// 读取摄像机参数
camera_params.readFromXMLFile("camera.yml");
camera_params.resize(input_image.size());
// 注册窗口
cv::namedWindow("thres",1);
cv::namedWindow("in",1);
marker_dector.getThresholdParams(threshold_param1, threshold_param2);
i_threshold_param1 = threshold_param1;
i_threshold_param2 = threshold_param2;
cv::createTrackbar("ThresParam1", "in",&i_threshold_param1, 13, cvTackBarEvents);
cv::createTrackbar("ThresParam2", "in",&i_threshold_param2, 13, cvTackBarEvents);
char key=0;
int index=0;
//capture until press ESC or until the end of the video
while( key!=27 && video_capture.grab())
{
//copy image
video_capture.retrieve(input_image);
//number of images captured
index++;
//for checking the speed
double tick = (double)cv::getTickCount();
//Detection of markers in the image passed
marker_dector.detect(input_image, markers, camera_params, marker_size);
//chekc the speed by calculating the mean speed of all iterations
average_time.first += ((double)cv::getTickCount() - tick) / cv::getTickFrequency();
average_time.second++;
std::cout << "Time detection=" << 1000 * average_time.first / average_time.second << " milliseconds" << endl;
//print marker info and draw the markers in image
input_image.copyTo(input_image_copy);
for(unsigned int i = 0; i < markers.size(); i++){
std::cout << markers[i] << std::endl;
markers[i].draw(input_image, Scalar(0, 0, 255), 2);
}
//draw a 3d cube in each marker if there is 3d info
if ( camera_params.isValid())
for(unsigned int i = 0; i < markers.size(); i++){
aruco::CvDrawingUtils::draw3dCube(input_image, markers[i], camera_params);
aruco::CvDrawingUtils::draw3dAxis(input_image, markers[i], camera_params);
}
//DONE! Easy, right?
cout << endl << endl << endl;
//show input with augmented information and the thresholded image
cv::imshow("in", input_image);
cv::imshow("thres", marker_dector.getThresholdedImage());
key=cv::waitKey(0);//wait for key to be pressed
}
return 0;
}