CaptureServer() :
nh_private("~") {
ROS_INFO("Creating localization");
queue_size_ = 5;
odom_pub = nh_.advertise<nav_msgs::Odometry>("vo", queue_size_);
keyframe_pub = nh_.advertise<rm_localization::Keyframe>("keyframe",
queue_size_);
update_map_service = nh_.advertiseService("update_map",
&CaptureServer::update_map, this);
send_all_keyframes_service = nh_.advertiseService("send_all_keyframes",
&CaptureServer::send_all_keyframes, this);
clear_keyframes_service = nh_.advertiseService("clear_keyframes",
&CaptureServer::clear_keyframes, this);
rgb_sub.subscribe(nh_, "rgb/image_raw", queue_size_);
depth_sub.subscribe(nh_, "depth/image_raw", queue_size_);
info_sub.subscribe(nh_, "rgb/camera_info", queue_size_);
// Synchronize inputs.
sync.reset(
new Synchronizer(SyncPolicy(queue_size_), rgb_sub, depth_sub,
info_sub));
sync->registerCallback(
boost::bind(&CaptureServer::RGBDCallback, this, _1, _2, _3));
}
void subscribe()
{
if (use_indices_) {
sub_input_.subscribe(*pnh_, "input", 1);
sub_indices_.subscribe(*pnh_, "indices", 1);
sync_ = boost::make_shared<message_filters::Synchronizer<SyncPolicy> >(10);
sync_->connectInput(sub_input_, sub_indices_);
if (!not_use_rgb_) {
sync_->registerCallback(boost::bind(&ResizePointsPublisher::filter<pcl::PointXYZRGB>, this, _1, _2));
}
else {
sync_->registerCallback(boost::bind(&ResizePointsPublisher::filter<pcl::PointXYZ>, this, _1, _2));
}
}
else {
if (!not_use_rgb_) {
sub_ = pnh_->subscribe(
"input", 1,
&ResizePointsPublisher::filter<pcl::PointXYZRGB>, this);
}
else {
sub_ = pnh_->subscribe(
"input", 1,
&ResizePointsPublisher::filter<pcl::PointXYZ>, this);
}
}
}
CaptureServer() :
nh_private("~") {
ROS_INFO("Creating localization");
tf_prefix_ = tf::getPrefixParam(nh_private);
odom_frame = tf::resolve(tf_prefix_, "odom_combined");
map_frame = tf::resolve(tf_prefix_, "map");
map_to_odom.setIdentity();
queue_size_ = 1;
rgb_sub.subscribe(nh_, "rgb/image_raw", queue_size_);
depth_sub.subscribe(nh_, "depth/image_raw", queue_size_);
info_sub.subscribe(nh_, "rgb/camera_info", queue_size_);
// Synchronize inputs.
sync.reset(
new Synchronizer(SyncPolicy(queue_size_), rgb_sub, depth_sub,
info_sub));
sync->registerCallback(
boost::bind(&CaptureServer::RGBDCallback, this, _1, _2, _3));
tracked_points.reset(new std::vector<cv::Vec2f>);
}
explicit NegExampleNode(const ros::NodeHandle& nh): node_(nh)
{
disparity_scale_factor_ = 2.0; // hard coded to match roiPlayer
string nn = ros::this_node::getName();
node_.param(nn+"/imageFolderPath",imgFolderPath, std::string("."));
int qs;
if(!node_.getParam(nn + "/Q_Size",qs)){
qs=3;
}
// Subscribe to Messages
sub_image_.subscribe(node_,"Color_Image",qs);
sub_disparity_.subscribe(node_, "Disparity_Image",qs);
sub_rois_.subscribe(node_,"input_rois",qs);
// Sync the Synchronizer
approximate_sync_.reset(new ApproximateSync(ApproximatePolicy(qs),
sub_image_,
sub_disparity_,
sub_rois_));
approximate_sync_->registerCallback(boost::bind(&NegExampleNode::imageCb,
this,
_1,
_2,
_3));
}
ObjectTracker(ros::NodeHandle& nh)
{
camera_sub.subscribe(nh, "image", 1);
saliency_sub.subscribe(nh, "saliency_img", 1);
fg_objects_sub.subscribe(nh, "probability_image", 1);
// ApproximateTime takes a queue size as its constructor argument, hence SyncPolicy(10)
sync = new message_filters::Synchronizer<SyncPolicy>(SyncPolicy(10), camera_sub, fg_objects_sub, saliency_sub);
sync->registerCallback(boost::bind(&ObjectTracker::process_images, this, _1, _2, _3));
}
/**
@brief Конструктор
@details Подписывается на топики с камер, создает объект sync для синхронизации получаемых видео-потоков и регистрирует коллбэк,
который будет вызыватся при получении новых данных с топиков.
*/
ImageConverter()
: it_(nh_)
{
ROS_INFO("ImageConverter constructor");
image_sub_left.subscribe(nh_, "/wide_stereo/left/image_rect_color", 1);
image_sub_right.subscribe(nh_, "/wide_stereo/right/image_rect_color", 1);
message_filters::TimeSynchronizer<sensor_msgs::Image, sensor_msgs::Image> sync(image_sub_left, image_sub_right, 1);
sync.registerCallback(boost::bind(ImageConverter::imageCb, _1, _2));
cv::namedWindow(OPENCV_WINDOW);
ros::spin();
}
/**
* Constructor, subscribes to input topics using image transport and registers
* callbacks.
* \param transport The image transport to use
*/
MonoDepthProcessor(const std::string& transport) :
image_received_(0), depth_received_(0), image_info_received_(0), depth_info_received_(0), all_received_(0)
{
// Read local parameters
ros::NodeHandle local_nh("~");
// Resolve topic names
ros::NodeHandle nh;
std::string camera_ns = nh.resolveName("camera");
std::string image_topic = ros::names::clean(camera_ns + "/rgb/image_rect");
std::string depth_topic = ros::names::clean(camera_ns + "/depth_registered/image_rect");
std::string image_info_topic = camera_ns + "/rgb/camera_info";
std::string depth_info_topic = camera_ns + "/depth_registered/camera_info";
// Subscribe to four input topics.
ROS_INFO("Subscribing to:\n\t* %s\n\t* %s\n\t* %s\n\t* %s",
image_topic.c_str(), depth_topic.c_str(),
image_info_topic.c_str(), depth_info_topic.c_str());
image_transport::ImageTransport it(nh);
image_sub_.subscribe(it, image_topic, 1, transport);
depth_sub_.subscribe(it, depth_topic, 1, transport);
image_info_sub_.subscribe(nh, image_info_topic, 1);
depth_info_sub_.subscribe(nh, depth_info_topic, 1);
// Complain every 15s if the topics appear unsynchronized
image_sub_.registerCallback(boost::bind(MonoDepthProcessor::increment, &image_received_));
depth_sub_.registerCallback(boost::bind(MonoDepthProcessor::increment, &depth_received_));
image_info_sub_.registerCallback(boost::bind(MonoDepthProcessor::increment, &image_info_received_));
depth_info_sub_.registerCallback(boost::bind(MonoDepthProcessor::increment, &depth_info_received_));
check_synced_timer_ = nh.createWallTimer(ros::WallDuration(15.0),
boost::bind(&MonoDepthProcessor::checkInputsSynchronized, this));
// Synchronize input topics. Optionally do approximate synchronization.
local_nh.param("queue_size", queue_size_, 5);
bool approx;
local_nh.param("approximate_sync", approx, true);
if (approx)
{
approximate_sync_.reset(new ApproximateSync(ApproximatePolicy(queue_size_),
image_sub_, depth_sub_, image_info_sub_, depth_info_sub_) );
approximate_sync_->registerCallback(boost::bind(&MonoDepthProcessor::dataCb, this, _1, _2, _3, _4));
}
else
{
exact_sync_.reset(new ExactSync(ExactPolicy(queue_size_),
image_sub_, depth_sub_, image_info_sub_, depth_info_sub_) );
exact_sync_->registerCallback(boost::bind(&MonoDepthProcessor::dataCb, this, _1, _2, _3, _4));
}
}
/**
* Constructor, subscribes to input topics using image transport and registers
* callbacks.
* \param transport The image transport to use
*/
StereoProcessor(const std::string& transport) :
left_received_(0), right_received_(0), left_info_received_(0), right_info_received_(0), all_received_(0)
{
// Read local parameters
ros::NodeHandle local_nh("~");
// Resolve topic names
ros::NodeHandle nh;
std::string stereo_ns = nh.resolveName("stereo");
std::string left_topic = ros::names::clean(stereo_ns + "/left/" + nh.resolveName("image"));
std::string right_topic = ros::names::clean(stereo_ns + "/right/" + nh.resolveName("image"));
std::string left_info_topic = stereo_ns + "/left/camera_info";
std::string right_info_topic = stereo_ns + "/right/camera_info";
// Subscribe to four input topics.
ROS_INFO("Subscribing to:\n\t* %s\n\t* %s\n\t* %s\n\t* %s",
left_topic.c_str(), right_topic.c_str(),
left_info_topic.c_str(), right_info_topic.c_str());
image_transport::ImageTransport it(nh);
left_sub_.subscribe(it, left_topic, 1, transport);
right_sub_.subscribe(it, right_topic, 1, transport);
left_info_sub_.subscribe(nh, left_info_topic, 1);
right_info_sub_.subscribe(nh, right_info_topic, 1);
// Complain every 15s if the topics appear unsynchronized
left_sub_.registerCallback(boost::bind(StereoProcessor::increment, &left_received_));
right_sub_.registerCallback(boost::bind(StereoProcessor::increment, &right_received_));
left_info_sub_.registerCallback(boost::bind(StereoProcessor::increment, &left_info_received_));
right_info_sub_.registerCallback(boost::bind(StereoProcessor::increment, &right_info_received_));
check_synced_timer_ = nh.createWallTimer(ros::WallDuration(15.0),
boost::bind(&StereoProcessor::checkInputsSynchronized, this));
// Synchronize input topics. Optionally do approximate synchronization.
local_nh.param("queue_size", queue_size_, 5);
bool approx;
local_nh.param("approximate_sync", approx, false);
if (approx)
{
approximate_sync_.reset(new ApproximateSync(ApproximatePolicy(queue_size_),
left_sub_, right_sub_, left_info_sub_, right_info_sub_) );
approximate_sync_->registerCallback(boost::bind(&StereoProcessor::dataCb, this, _1, _2, _3, _4));
}
else
{
exact_sync_.reset(new ExactSync(ExactPolicy(queue_size_),
left_sub_, right_sub_, left_info_sub_, right_info_sub_) );
exact_sync_->registerCallback(boost::bind(&StereoProcessor::dataCb, this, _1, _2, _3, _4));
}
}
explicit HaarAdaNode(const ros::NodeHandle& nh):
node_(nh)
{
num_class1 = 0;
num_class0 = 0;
num_TP_class1 = 0;
num_FP_class1 = 0;
num_TP_class0 = 0;
num_FP_class0 = 0;
string nn = ros::this_node::getName();
int qs;
if(!node_.getParam(nn + "/Q_Size",qs)){
qs=3;
}
int NS;
if(!node_.getParam(nn + "/num_Training_Samples",NS)){
NS = 350; // default sets asside very little for training
node_.setParam(nn + "/num_Training_Samples",NS);
}
HAC_.setMaxSamples(NS);
if(!node_.getParam(nn + "/RemoveOverlappingRois",remove_overlapping_rois_)){
remove_overlapping_rois_ = false;
}
// Published Messages
pub_rois_ = node_.advertise<Rois>("HaarAdaOutputRois",qs);
pub_Color_Image_ = node_.advertise<Image>("HaarAdaColorImage",qs);
pub_Disparity_Image_= node_.advertise<DisparityImage>("HaarAdaDisparityImage",qs);
// Subscribe to Messages
sub_image_.subscribe(node_,"Color_Image",qs);
sub_disparity_.subscribe(node_, "Disparity_Image",qs);
sub_rois_.subscribe(node_,"input_rois",qs);
// Sync the Synchronizer
approximate_sync_.reset(new ApproximateSync(ApproximatePolicy(qs),
sub_image_,
sub_disparity_,
sub_rois_));
approximate_sync_->registerCallback(boost::bind(&HaarAdaNode::imageCb,
this,
_1,
_2,
_3));
}
explicit roiViewerNode(const ros::NodeHandle& nh):
node_(nh)
{
label = 0;
show_confidence = false;
//Read mode from launch file
std::string mode="";
node_.param(ros::this_node::getName() + "/mode", mode, std::string("none"));
ROS_INFO("Selected mode: %s",mode.c_str());
if(mode.compare("roi_display")==0) {
ROS_INFO("MODE: %s",mode.c_str());
node_.param(ros::this_node::getName()+"/vertical",vertical,false);
//Get the image width and height
node_.param(ros::this_node::getName()+"/label",label,0);
//Read parameter for showing roi confidence
node_.param(ros::this_node::getName()+"/show_confidence",show_confidence,false);
//Read parameter stating if the image is grayscale or with colors
node_.param(ros::this_node::getName()+"/color_image", color_image, true);
// Subscribe to Messages
sub_image_.subscribe(node_,"input_image",20);
sub_detections_.subscribe(node_,"input_detections",20);
// Sync the Synchronizer
approximate_sync_.reset(new ApproximateSync(ApproximatePolicy(20),
sub_image_,
sub_detections_));
approximate_sync_->registerCallback(boost::bind(&roiViewerNode::imageCb,
this,
_1,
_2));
} else {
ROS_INFO("Unknown mode:%s Please set to {roi_display} in roiViewer.launch",mode.c_str());
}
// Visualization
cv::namedWindow("Detections", WINDOW_AUTOSIZE );
cv::startWindowThread();
}
void onInit()
{
nh = getMTNodeHandle();
nh_priv = getMTPrivateNodeHandle();
// Parameters
nh_priv.param("use_backup_estimator_alt", use_backup_estimator_alt, use_backup_estimator_alt);
nh_priv.param("imu_to_kinect_offset", imu_to_kinect_offset, imu_to_kinect_offset);
nh_priv.param("max_est_kinect_delta_alt", max_est_kinect_delta_alt, max_est_kinect_delta_alt);
nh_priv.param("obstacle_height_threshold", obstacle_height_threshold, obstacle_height_threshold);
nh_priv.param("debug_throttle_rate", debug_throttle_rate, debug_throttle_rate);
nh_priv.param("z_vel_filt_a", z_vel_filt_a, z_vel_filt_a);
nh_priv.param("z_vel_filt_b", z_vel_filt_b, z_vel_filt_b);
// Publishers
odom_pub = nh_priv.advertise<nav_msgs::Odometry> ("output", 10);
obstacle_pub = nh_priv.advertise<starmac_kinect::Obstacle> ("obstacle", 10);
debug_pub = nh_priv.advertise<starmac_kinect::Debug> ("debug", 10);
marker_pub = nh_priv.advertise<visualization_msgs::Marker> ("marker", 10);
mask_indices_pub = nh.advertise<pcl::PointIndices> ("mask_indices", 10);
findplane_indices_pub = nh.advertise<pcl::PointIndices> ("findplane_indices", 10, true);
// Subscribers
sub_input_filter.subscribe(nh_priv, "input", max_queue_size);
sub_indices_filter.subscribe(nh_priv, "indices", max_queue_size);
sub_model_filter.subscribe(nh_priv, "model", max_queue_size);
sync_input_indices_e
= make_shared<Synchronizer<ExactTime<PointCloud2, PointIndices, ModelCoefficients> > > (max_queue_size);
sync_input_indices_e->connectInput(sub_input_filter, sub_indices_filter, sub_model_filter);
sync_input_indices_e->registerCallback(bind(&KinectEstimator::cloudIndicesModelCallback, this, _1, _2, _3));
// Fill out most of the output Odometry message (we'll only be filling in the z pose value)
odom_msg_output.child_frame_id = "imu";
odom_msg_output.header.frame_id = "ned";
odom_msg_output.pose.pose.orientation.x = 0;
odom_msg_output.pose.pose.orientation.y = 0;
odom_msg_output.pose.pose.orientation.z = 0;
odom_msg_output.pose.pose.orientation.w = 1;
odom_msg_output.pose.pose.position.x = 0;
odom_msg_output.pose.pose.position.y = 0;
if (use_backup_estimator_alt)
{
est_odom_sub = nh.subscribe("estimator/output", 1, &KinectEstimator::estOdomCallback, this,
ros::TransportHints().tcpNoDelay());
}
updateMask(); // force once to start things
}
/////////////////////////////////////////////////////////////////
// Constructor
PedestrianDetectorHOG(ros::NodeHandle nh):
nh_(nh),
local_nh_("~"),
it_(nh_),
stereo_sync_(4),
// cam_model_(NULL),
counter(0)
{
hog_.setSVMDetector(cv::HOGDescriptor::getDefaultPeopleDetector());
// Get parameters from the server
local_nh_.param("hit_threshold",hit_threshold_,0.0);
local_nh_.param("group_threshold",group_threshold_,2);
local_nh_.param("use_depth", use_depth_, true);
local_nh_.param("use_height",use_height_,true);
local_nh_.param("max_height_m",max_height_m_,2.2);
local_nh_.param("ground_frame",ground_frame_,std::string("base_link"));
local_nh_.param("do_display", do_display_, true);
// Advertise a 3d position measurement for each head.
people_pub_ = nh_.advertise<people_msgs::PositionMeasurement>("people_tracker_measurements",1);
// Subscribe to tf & the images
if (use_depth_) {
tf_.setExtrapolationLimit(ros::Duration().fromSec(0.01));
std::string left_topic = nh_.resolveName("stereo") + "/left/image";
std::string disp_topic = nh_.resolveName("stereo") + "/disparity";
std::string left_info_topic = nh_.resolveName("stereo") + "/left/camera_info";
std::string right_info_topic = nh_.resolveName("stereo") + "/right/camera_info";
left_sub_.subscribe(it_, left_topic, 10);
disp_sub_.subscribe(it_, disp_topic, 10);
left_info_sub_.subscribe(nh_, left_info_topic, 10);
right_info_sub_.subscribe(nh_, right_info_topic, 10);
stereo_sync_.connectInput(left_sub_, left_info_sub_, disp_sub_, right_info_sub_);
stereo_sync_.registerCallback(boost::bind(&PedestrianDetectorHOG::imageCBAll, this, _1, _2, _3, _4));
}
else {
std::string topic = nh_.resolveName("image");
image_sub_ = it_.subscribe("image",10,&PedestrianDetectorHOG::imageCB,this);
}
}
bool
PointCloudProjector::enable(platform_motion_msgs::Enable::Request& req, platform_motion_msgs::Enable::Response& resp)
{
ros::NodeHandle nh;
if(req.state && !enabled_)
{
pointcloud_sub.subscribe(nh, "pointcloud", 1);
patch_sub.subscribe(nh, "patches", 1);
}
else if(enabled_)
{
pointcloud_sub.unsubscribe();
patch_sub.unsubscribe();
}
enabled_ = req.state;
resp.state = enabled_;
return true;
}
void connectCb()
{
num_subs++;
if(num_subs > 0)
{
color_image_sub_.subscribe(image_transport_,"image_color", 1);
pc_sub_.subscribe(n_, "point_cloud2", 1);
}
}
void connectCb()
{
num_subs++;
if(num_subs > 0)
{
color_image_sub_.subscribe(image_transport_,"/camera/rgb/image_raw", 1);
pc_sub_.subscribe(n_, "/camera/depth/points", 1);
}
}
// Connection callback that unsubscribes from the tracker if no one is subscribed.
void connectCallback(message_filters::Subscriber<CameraInfo> &sub_cam,
message_filters::Subscriber<GroundPlane> &sub_gp,
image_transport::SubscriberFilter &sub_col,
image_transport::SubscriberFilter &sub_dep,
image_transport::ImageTransport &it) {
if(!pub_message.getNumSubscribers() && !pub_result_image.getNumSubscribers() && !pub_centres.getNumSubscribers() && !pub_detected_persons.getNumSubscribers()) {
ROS_DEBUG("Upper Body Detector: No subscribers. Unsubscribing.");
sub_cam.unsubscribe();
sub_gp.unsubscribe();
sub_col.unsubscribe();
sub_dep.unsubscribe();
} else {
ROS_DEBUG("Upper Body Detector: New subscribers. Subscribing.");
sub_cam.subscribe();
sub_gp.subscribe();
sub_col.subscribe(it,sub_col.getTopic().c_str(),1);
sub_dep.subscribe(it,sub_dep.getTopic().c_str(),1);
}
}
unsigned long init()
{
color_camera_image_sub_.subscribe(*it_, "colorimage", 1);
point_cloud_sub_.subscribe(node_handle_, "pointcloud", 1);
sync_pointcloud_->connectInput(point_cloud_sub_, color_camera_image_sub_);
sync_pointcloud_callback_connection_ = sync_pointcloud_->registerCallback(boost::bind(&CobKinectImageFlipNodelet::inputCallback, this, _1, _2));
return ipa_Utils::RET_OK;
}
void initNode()
{
pc_sync_ = boost::shared_ptr<message_filters::Synchronizer<SyncPolicy> >(new message_filters::Synchronizer<SyncPolicy>(SyncPolicy(3)));
pc_pub_ = n_.advertise<sensor_msgs::PointCloud2>("colored_point_cloud2", 1);
color_image_sub_.subscribe(image_transport_,"image_color", 1);
pc_sub_.subscribe(n_, "point_cloud2", 1);
pc_sync_->connectInput(color_image_sub_, pc_sub_);
pc_sync_->registerCallback(boost::bind(&CreateColoredPointCloud::syncCallback, this, _1, _2));
}
PointCloudCapturer(ros::NodeHandle &n)
: nh_(n), synchronizer_( MySyncPolicy(1), cloud_sub_, camera_sub_)
{
nh_.param("input_cloud_topic", input_cloud_topic_, std::string("/kinect_head/camera/rgb/points"));
nh_.param("input_image_topic", input_image_topic_, std::string("/kinect_head/camera/rgb/image_color"));
nh_.param("input_camera_info_topic", input_camera_info_topic_, std::string("/kinect_head/camera/rgb/camera_info"));
// cloud_sub_= nh_.subscribe (input_cloud_topic_, 10, &PointCloudCapturer::cloud_cb, this);
camera_sub_.subscribe( nh_, input_image_topic_, 1000 );
cloud_sub_.subscribe( nh_, input_cloud_topic_, 1000 );
sync_connection_ = synchronizer_.registerCallback( &PointCloudCapturer::callback, this );
ROS_INFO("[PointCloudColorizer:] Subscribing to cloud topic %s", input_cloud_topic_.c_str());
point_head_client_ = new PointHeadClient("/head_traj_controller/point_head_action", true);
//wait for head controller action server to come up
while(!point_head_client_->waitForServer(ros::Duration(5.0)) && ros::ok())
{
ROS_INFO("Waiting for the point_head_action server to come up");
}
cloud_and_image_received_ = false;
nh_.param("move_offset_y_min", move_offset_y_min_, -1.5);
nh_.param("move_offset_y_max", move_offset_y_max_, 1.5);
nh_.param("step_y", step_y_, 0.3);
nh_.param("move_offset_z_min", move_offset_z_min_, 0.3);
nh_.param("move_offset_z_max", move_offset_z_max_, 1.5);
nh_.param("step_z", step_z_, 0.3);
nh_.param("move_offset_x", move_offset_x_, 1.0);
nh_.param("bag_name", bag_name_, std::string("bosch_kitchen_tr.bag"));
nh_.param("to_frame", to_frame_, std::string("base_link"));
nh_.param("rate", rate_, 1.0);
current_position_x_ = move_offset_x_;
current_position_y_ = move_offset_y_min_;
current_position_z_ = move_offset_z_min_;
move_head("base_link", current_position_x_, current_position_y_, current_position_z_);
EPS = 1e-5;
//thread ROS spinner
spin_thread_ = boost::thread (boost::bind (&ros::spin));
bag_.open(bag_name_, rosbag::bagmode::Write);
}
PlanarCoordinator () {
ROS_DEBUG("Instantiating a PlanarCoordinator Class");
// define subscribers, synchronizer, and the corresponding
// callback:
robot_kinect_sub.subscribe(node_, "robot_kinect_position", 10);
mass_kinect_sub.subscribe(node_, "object1_position", 10);
sync = new message_filters::TimeSynchronizer<PointPlus, PointPlus>
(robot_kinect_sub, mass_kinect_sub, 10);
sync->registerCallback(boost::bind(
&PlanarCoordinator::callback, this, _1, _2));
// define publisher
config_pub = node_.advertise<PlanarSystemConfig> ("meas_config", 100);
// wait for service, and get the starting config:
ROS_INFO("Waiting for get_ref_config service:");
ROS_INFO("Will not continue until available...");
if(ros::service::waitForService("get_ref_config"))
{
// service available:
PlanarSystemService::Request req;
PlanarSystemService::Response resp;
req.index = 0; //initial config:
ros::service::call("get_ref_config", req, resp);
q0 = resp.config;
ROS_DEBUG("Initial config:");
ROS_DEBUG("xm=%f, ym=%f, xr=%f, r=%f\r\n",q0.xm,q0.ym,q0.xr,q0.r);
}
else
{
ROS_ERROR("Could not get service, shutting down");
ros::shutdown();
}
// set all default variables:
calibrated_flag = false;
calibrate_count = 0;
return;
}
/// Subscribe to camera topics if not already done.
void connectCallback()
{
if (sub_counter_ == 0)
{
sub_counter_++;
ROS_DEBUG("[all_camera_viewer] Subscribing to camera topics");
if (use_right_color_camera_)
{
right_color_camera_image_sub_.subscribe(image_transport_, "right/image_color", 1);
right_camera_info_sub_.subscribe(node_handle_, "right/camera_info", 1);
}
if (use_left_color_camera_)
{
left_color_camera_image_sub_.subscribe(image_transport_, "left/image_color", 1);
left_camera_info_sub_.subscribe(node_handle_, "left/camera_info", 1);
}
if (use_tof_camera_)
{
tof_camera_grey_image_sub_.subscribe(image_transport_, "image_grey", 1);
}
}
}
/// Subscribe to camera topics if not already done.
void connectCallback()
{
ROS_INFO("[fiducials] Subscribing to camera topics");
color_camera_image_sub_.subscribe(*image_transport_0_, "image_color", 1);
color_camera_info_sub_.subscribe(node_handle_, "camera_info", 1);
color_image_sub_sync_ = boost::shared_ptr<message_filters::Synchronizer<ColorImageSyncPolicy> >(new message_filters::Synchronizer<ColorImageSyncPolicy>(ColorImageSyncPolicy(3)));
color_image_sub_sync_->connectInput(color_camera_image_sub_, color_camera_info_sub_);
color_image_sub_sync_->registerCallback(boost::bind(&CobFiducialsNode::colorImageCallback, this, _1, _2));
sub_counter_++;
ROS_INFO("[fiducials] %i subscribers on camera topics [OK]", sub_counter_);
}
// Handles (un)subscribing when clients (un)subscribe
void PointCloud2Nodelet::connectCb()
{
boost::lock_guard<boost::mutex> lock(connect_mutex_);
if (pub_points2_.getNumSubscribers() == 0)
{
sub_l_image_ .unsubscribe();
sub_l_info_ .unsubscribe();
sub_r_info_ .unsubscribe();
sub_disparity_.unsubscribe();
}
else if (!sub_l_image_.getSubscriber())
{
ros::NodeHandle &nh = getNodeHandle();
// Queue size 1 should be OK; the one that matters is the synchronizer queue size.
sub_l_image_ .subscribe(*it_, "left/image_rect_color", 1);
sub_l_info_ .subscribe(nh, "left/camera_info", 1);
sub_r_info_ .subscribe(nh, "right/camera_info", 1);
sub_disparity_.subscribe(nh, "disparity", 1);
}
}
//Nodelet initialization
virtual void onInit()
{
ros::NodeHandle& nh = getNodeHandle();
ros::NodeHandle& private_nh = getPrivateNodeHandle();
private_nh.getParam("min_height", min_height_);
private_nh.getParam("max_height", max_height_);
private_nh.getParam("base_frame", baseFrame);
private_nh.getParam("laser_frame", laserFrame);
NODELET_INFO("CloudToScanHoriz min_height: %f, max_height: %f", min_height_, max_height_);
NODELET_INFO("CloudToScanHoriz baseFrame: %s, laserFrame: %s", baseFrame.c_str(), laserFrame.c_str());
//Set up to process new pointCloud and tf data together
cloudSubscriber.subscribe(nh, "cloud_in", 5);
tfFilter = new tf::MessageFilter<PointCloud>(cloudSubscriber, tfListener, laserFrame, 1);
tfFilter->registerCallback(boost::bind(&CloudToScanHoriz::callback, this, _1));
tfFilter->setTolerance(ros::Duration(0.05));
laserPublisher = nh.advertise<sensor_msgs::LaserScan>("laserScanHoriz", 10);
};
HeadTransformer() : tf_(), target_frame_("head") {
point_sub_.subscribe(n_, "/head/pose", 10);
tf_filter_ = new tf::MessageFilter<geometry_msgs::PoseStamped>(point_sub_, tf_, target_frame_, 10);
tf_filter_->registerCallback( boost::bind( &HeadTransformer::msgCallback, this, _1) );
} ;