// topic callback functions
// function will be called when a new message arrives on a topic
void syncCallback(const sensor_msgs::Image::ConstPtr& tof_camera_xyz_data, const sensor_msgs::Image::ConstPtr& tof_camera_grey_data)
{
ROS_DEBUG("convert xyz_image to point_cloud");
sensor_msgs::PointCloud pc_msg;
// create point_cloud message
pc_msg.header.stamp = ros::Time::now();
pc_msg.header.frame_id = "head_tof_camera_link";
c_xyz_image_32F3_ = cv_bridge_0_.imgMsgToCv(tof_camera_xyz_data, "passthrough");
c_grey_image_32F1_ = cv_bridge_1_.imgMsgToCv(tof_camera_grey_data, "passthrough");
cv::Mat cpp_xyz_image_32F3 = c_xyz_image_32F3_;
cv::Mat cpp_grey_image_32F1 = c_grey_image_32F1_;
float* f_ptr = 0;
for (int row = 0; row < cpp_xyz_image_32F3.rows; row++)
{
f_ptr = cpp_xyz_image_32F3.ptr<float>(row);
for (int col = 0; col < cpp_xyz_image_32F3.cols; col++)
{
geometry_msgs::Point32 pt;
pt.x = f_ptr[3*col + 0];
pt.y = f_ptr[3*col + 1];
pt.z = f_ptr[3*col + 2];
pc_msg.points.push_back(pt);
}
}
pc_msg.header.stamp = ros::Time::now();
topicPub_pointCloud_.publish(pc_msg);
}
/// Callback is executed, when shared mode is selected.
/// Left and right is expressed when facing the back of the camera in horitontal orientation.
void sharedModeSrvCallback(const sensor_msgs::ImageConstPtr& right_camera_data,
const sensor_msgs::ImageConstPtr& tof_camera_grey_data)
{
boost::mutex::scoped_lock lock(m_ServiceMutex);
ROS_INFO("[all_camera_viewer] sharedModeSrvCallback");
// Convert ROS image messages to openCV IplImages
try
{
right_color_image_8U3_ = cv_bridge_0_.imgMsgToCv(right_camera_data, "passthrough");
grey_image_32F1_ = cv_bridge_2_.imgMsgToCv(tof_camera_grey_data, "passthrough");
cv::Mat tmp = right_color_image_8U3_;
right_color_mat_8U3_ = tmp.clone();
tmp = grey_image_32F1_;
grey_mat_32F1_ = tmp.clone();
}
catch (sensor_msgs::CvBridgeException& e)
{
ROS_ERROR("[all_camera_viewer] Could not convert images with cv_bridge.");
}
ipa_Utils::ConvertToShowImage(grey_mat_32F1_, grey_mat_8U3_, 1);
cv::imshow("TOF grey data", grey_mat_8U3_);
cv::Mat right_color_8U3;
cv::resize(right_color_mat_8U3_, right_color_8U3, cv::Size(), 0.5, 0.5);
cv::imshow("Right color data", right_color_8U3);
cv::waitKey(1000);
}
void imageCallback (const sensor_msgs::ImageConstPtr & msg_ptr)
{
// Convert ROS Imput Image Message to IplImage
try
{
cv_input_ = bridge_.imgMsgToCv (msg_ptr, "bgr8");
}
catch (sensor_msgs::CvBridgeException error)
{
ROS_ERROR ("CvBridge Input Error");
}
// Convert IplImage to cv::Mat
img_in_ = cv::Mat (cv_input_).clone ();
// Convert Input image from BGR to HSV
cv::cvtColor (img_in_, img_hsv_, CV_BGR2HSV);
// Display HSV Image in HighGUI window
cv::imshow ("hsv", img_hsv_);
// Needed to keep the HighGUI window open
cv::waitKey (3);
// Convert cv::Mat to IplImage
cv_output_ = img_hsv_;
// Convert IplImage to ROS Output Image Message and Publish
try
{
image_pub_.publish (bridge_.cvToImgMsg (&cv_output_, "bgr8"));
}
catch (sensor_msgs::CvBridgeException error)
{
ROS_ERROR ("CvBridge Output error");
}
}
/// Callback is executed, when stereo mode is selected
/// Left and right is expressed when facing the back of the camera in horizontal orientation.
void stereoModeSrvCallback(const sensor_msgs::ImageConstPtr& left_camera_data,
const sensor_msgs::ImageConstPtr& right_camera_data)
{
ROS_INFO("[all_camera_viewer] stereoModeSrvCallback");
boost::mutex::scoped_lock lock(m_ServiceMutex);
// Convert ROS image messages to openCV IplImages
try
{
right_color_image_8U3_ = cv_bridge_0_.imgMsgToCv(right_camera_data, "passthrough");
left_color_image_8U3_ = cv_bridge_1_.imgMsgToCv(left_camera_data, "passthrough");
cv::Mat tmp = right_color_image_8U3_;
right_color_mat_8U3_ = tmp.clone();
tmp = left_color_image_8U3_;
left_color_mat_8U3_ = tmp.clone();
}
catch (sensor_msgs::CvBridgeException& e)
{
ROS_ERROR("[all_camera_viewer] Could not convert stereo images with cv_bridge.");
}
cv::Mat right_color_8U3;
cv::resize(right_color_mat_8U3_, right_color_8U3, cv::Size(), 0.5, 0.5);
cv::imshow("Right color data", right_color_8U3);
cv::Mat left_color_8U3;
cv::resize(left_color_mat_8U3_, left_color_8U3, cv::Size(), 0.5, 0.5);
cv::imshow("Left color data", left_color_8U3);
cv::waitKey(1000);
ROS_INFO("[all_camera_viewer] stereoModeSrvCallback [OK]");
}
bool find_grip_point(image_processor::ProcessBridge::Request &req,
image_processor::ProcessBridge::Response &res )
{
sensor_msgs::Image image = req.image;
sensor_msgs::ImagePtr img_ptr(new sensor_msgs::Image(image));
sensor_msgs::CameraInfo cam_info = req.info;
IplImage *cv_image = NULL;
try
{
cv_image = bridge_.imgMsgToCv(img_ptr, "bgr8");
}
catch (sensor_msgs::CvBridgeException error)
{
ROS_ERROR("error");
return false;
}
//Crop image
cvSetImageROI(cv_image,cvRect(CROP_X,CROP_Y,CROP_WIDTH,CROP_HEIGHT));
IplImage* cropped_image = cvCloneImage(cv_image);
CvPoint2D64f temp_pts[128];
double temp_params[128];
IplImage *output_cv_image;
int num_pts = 0;
int num_params = 0;
ROS_INFO("Ready to call find_grip_point...");
output_cv_image = find_grip_point_process(cropped_image,temp_pts,temp_params,num_pts,num_params);
for( int i = 0; i < num_pts; i++){
res.pts_x.push_back(temp_pts[i].x+CROP_X);
res.pts_y.push_back(temp_pts[i].y+CROP_Y);
}
for ( int i = 0; i < num_params; i++){
res.params.push_back(temp_params[i]);
}
sensor_msgs::ImagePtr output_img_ptr;
sensor_msgs::Image output_img;
try
{
output_img_ptr = bridge_.cvToImgMsg(output_cv_image, "bgr8");
output_img = *output_img_ptr;
}
catch (sensor_msgs::CvBridgeException error)
{
ROS_ERROR("error");
return false;
}
res.image_annotated = output_img;
return true;
}
void ImageNodelet::imageCb(const sensor_msgs::ImageConstPtr& msg)
{
image_mutex_.lock();
// May want to view raw bayer data, which CvBridge doesn't know about
if (msg->encoding.find("bayer") != std::string::npos)
{
last_image_ = cv::Mat(msg->height, msg->width, CV_8UC1,
const_cast<uint8_t*>(&msg->data[0]), msg->step);
}
// We want to scale floating point images so that they display nicely
else if(msg->encoding.find("F") != std::string::npos)
{
cv::Mat float_image_bridge = img_bridge_.imgMsgToCv(msg, "passthrough");
cv::Mat_<float> float_image = float_image_bridge;
float max_val = 0;
for(int i = 0; i < float_image.rows; ++i)
{
for(int j = 0; j < float_image.cols; ++j)
{
max_val = std::max(max_val, float_image(i, j));
}
}
if(max_val > 0)
{
float_image /= max_val;
}
last_image_ = float_image;
}
else
{
// Convert to OpenCV native BGR color
try {
last_image_ = img_bridge_.imgMsgToCv(msg, "bgr8");
}
catch (sensor_msgs::CvBridgeException& e) {
NODELET_ERROR_THROTTLE(30, "Unable to convert '%s' image to bgr8",
msg->encoding.c_str());
}
}
// last_image_ may point to data owned by last_msg_, so we hang onto it for
// the sake of mouseCb.
last_msg_ = msg;
// Must release the mutex before calling cv::imshow, or can deadlock against
// OpenCV's window mutex.
image_mutex_.unlock();
if (!last_image_.empty())
cv::imshow(window_name_, last_image_);
}
bool add_sock_to_match(image_processor::ProcessBridge::Request &req,
image_processor::ProcessBridge::Response &res )
{
sensor_msgs::Image image = req.image;
sensor_msgs::Image image2 = req.image2;
sensor_msgs::ImagePtr img_ptr(new sensor_msgs::Image(image));
IplImage *cv_image;
IplImage *cv_image2;
try
{
cv_image = bridge_.imgMsgToCv(img_ptr, "bgr8");
}
catch (sensor_msgs::CvBridgeException error)
{
ROS_ERROR("error");
return false;
}
CvPoint2D64f temp_pts[128];
double temp_params[128];
//Crop image
cvSetImageROI(cv_image,cvRect(CROP_X,CROP_Y,CROP_WIDTH,CROP_HEIGHT));
IplImage* cropped_image = cvCloneImage(cv_image);
cvSaveImage("/home/stephen/cropped_image1.png",cropped_image);
sensor_msgs::ImagePtr img2_ptr(new sensor_msgs::Image(image2));
try{
cv_image2 = bridge_.imgMsgToCv(img2_ptr, "bgr8");
}
catch (sensor_msgs::CvBridgeException error)
{
ROS_ERROR("error");
return false;
}
cvSetImageROI(cv_image,cvRect(CROP_X,CROP_Y,CROP_WIDTH,CROP_HEIGHT));
IplImage* cropped_image2 = cvCloneImage(cv_image2);
cvSaveImage("/home/stephen/cropped_image2.png",cropped_image2);
cvReleaseImage(&cropped_image);
cvReleaseImage(&cropped_image2);
IplImage* new_cropped_image = cvLoadImage("/home/stephen/cropped_image1.png");
IplImage* new_cropped_image2 = cvLoadImage("/home/stephen/cropped_image2.png");
match_detector->addImageToList(new_cropped_image,new_cropped_image2);
res.image_annotated = req.image;
return true;
}
bool match_socks(image_processor::MatchSocks::Request &req,
image_processor::MatchSocks::Response &res )
{
match_detector = new MatchDetector();
int num_images = req.images1.size();
for (int i = 0; i < num_images; i++){
sensor_msgs::Image image1 = req.images1.at(i);
sensor_msgs::Image image2 = req.images2.at(i);
sensor_msgs::ImagePtr img_ptr1(new sensor_msgs::Image(image1));
sensor_msgs::ImagePtr img_ptr2(new sensor_msgs::Image(image2));
IplImage *cv_image1;
IplImage *cv_image2;
try{
cv_image1 = bridge_.imgMsgToCv(img_ptr1, "bgr8");
cv_image2 = bridge_.imgMsgToCv(img_ptr2, "bgr8");
match_detector->addImageToList(cv_image1,cv_image2);
}
catch (sensor_msgs::CvBridgeException error)
{
ROS_ERROR("error");
return false;
}
}
vector<int> matches = match_detector->process();
for(int i = 0; i < num_images; i++){
res.matches.push_back(matches.at(i));
}
return true;
}
void alpha_image_cb(const sensor_msgs::ImageConstPtr& msg_ptr){
calc_and_publish_BWMask(msg_ptr->header.stamp, msg_ptr->header.frame_id);
IplImage* cam_image = bridge.imgMsgToCv(msg_ptr);
IplImage* cam_alpha_image = cvCreateImage(cvGetSize(cam_image), IPL_DEPTH_8U, 4);
//b
cvSetImageCOI(cam_alpha_image, 1);
cvSetImageCOI(cam_image, 1);
cvCopy(cam_image, cam_alpha_image);
//g
cvSetImageCOI(cam_alpha_image, 2);
cvSetImageCOI(cam_image, 2);
cvCopy(cam_image, cam_alpha_image);
//r
cvSetImageCOI(cam_alpha_image, 3);
cvSetImageCOI(cam_image, 3);
cvCopy(cam_image, cam_alpha_image);
//alpha
cvSetImageCOI(cam_alpha_image, 4);
cvCopy(ipl_maskBW, cam_alpha_image);
cvSetImageCOI(cam_alpha_image, 0);
sensor_msgs::ImagePtr img_msg = sensor_msgs::CvBridge::cvToImgMsg(cam_alpha_image);
img_msg->header = msg_ptr->header;
image_publisher.publish(img_msg);
cvReleaseImage(&cam_alpha_image);
}
/// Callback is executed, when shared mode is selected
/// Left and right is expressed when facing the back of the camera in horizontal orientation.
void colorImageCallback(const sensor_msgs::ImageConstPtr& color_camera_data,
const sensor_msgs::CameraInfoConstPtr& color_camera_info)
{
{
boost::mutex::scoped_lock lock( mutexQ_ );
ROS_DEBUG("[fiducials] color image callback");
if (camera_matrix_initialized_ == false)
{
camera_matrix_ = cv::Mat::zeros(3,3,CV_64FC1);
camera_matrix_.at<double>(0,0) = color_camera_info->K[0];
camera_matrix_.at<double>(0,2) = color_camera_info->K[2];
camera_matrix_.at<double>(1,1) = color_camera_info->K[4];
camera_matrix_.at<double>(1,2) = color_camera_info->K[5];
camera_matrix_.at<double>(2,2) = 1;
ROS_INFO("[fiducials] Initializing fiducial detector with camera matrix");
if (m_pi_tag->Init(camera_matrix_, model_directory_ + model_filename_) & ipa_Utils::RET_FAILED)
{
ROS_ERROR("[fiducials] Initializing fiducial detector with camera matrix [FAILED]");
return;
}
camera_matrix_initialized_ = true;
}
// Receive
color_image_8U3_ = cv_bridge_0_.imgMsgToCv(color_camera_data, "bgr8");
received_timestamp_ = color_camera_data->header.stamp;
received_frame_id_ = color_camera_data->header.frame_id;
cv::Mat tmp = color_image_8U3_;
color_mat_8U3_ = tmp.clone();
if (ros_node_mode_ == MODE_TOPIC || ros_node_mode_ == MODE_TOPIC_AND_SERVICE)
{
cob_object_detection_msgs::DetectionArray detection_array;
detectFiducials(detection_array, color_mat_8U3_);
// Publish
detect_fiducials_pub_.publish(detection_array);
cv_bridge::CvImage cv_ptr;
cv_ptr.image = color_mat_8U3_;
cv_ptr.encoding = CobFiducialsNode::color_image_encoding_;
img2D_pub_.publish(cv_ptr.toImageMsg());
}
synchronizer_received_ = true;
// Notify waiting thread
}
condQ_.notify_one();
}
void process_images(const sensor_msgs::ImageConstPtr& camera_msg, const sensor_msgs::ImageConstPtr& fg_objects_msg, const sensor_msgs::ImageConstPtr& saliency_msg)
{
ROS_INFO_STREAM("Raw image time: " << camera_msg->header.stamp);
ROS_INFO_STREAM("Foreground objects time: " << fg_objects_msg->header.stamp);
ROS_INFO_STREAM("Saliency time: " << saliency_msg->header.stamp);
cv::Mat camera_img(camera_bridge.imgMsgToCv(camera_msg));
cv::Mat fg_objects_img(fg_objects_bridge.imgMsgToCv(fg_objects_msg));
cv::Mat saliency_img(saliency_bridge.imgMsgToCv(saliency_msg));
double w = -1/5.0, b = 4.0;
cv::Mat fg_prob_img = fg_objects_img;
fg_prob_img.convertTo(fg_prob_img, fg_prob_img.type(), w, b);
cv::exp(fg_prob_img, fg_prob_img);
fg_prob_img.convertTo(fg_prob_img, fg_prob_img.type(), 1, 1);
cv::divide(1.0, fg_prob_img, fg_prob_img);
cv::namedWindow("fg_prob_img");
cv::imshow("fg_prob_img", fg_prob_img);
double sum = cv::sum(fg_prob_img)[0];
}
void image_cb(const sensor_msgs::ImageConstPtr &msg)
{
//ROS_INFO("checking for pancakes");
IplImage *cv_image = NULL;
try
{
cv_image = bridge.imgMsgToCv(msg, "mono8");
}
catch (sensor_msgs::CvBridgeException error)
{
ROS_ERROR("bridge error");
return;
}
detector.process_image(cv_image);
}
void imageCallback(const sensor_msgs::ImageConstPtr& msg)
{
cvZero(edges);
IplImage *img_base = bridge.imgMsgToCv(msg, "mono8"),
*eigI = cvCreateImage(cvSize(640,480), 32, 1),
*tempI = cvCreateImage(cvSize(640,480), 32, 1);
cvGoodFeaturesToTrack(img_base, eigI,tempI, corners,&corner_count, quality_level,min_distance);
for(i=0; i<max; i++)
{
cvCircle(img_base, cvPoint((int)corners[i].x,(int)corners[i].y), 4,cvScalar(255),1);
}
//send_array();
cvShowImage("Lines",img_base);
cvReleaseImage(&eigI); cvReleaseImage(&tempI);
}
void createRequest(re_vision::SearchFor &srv, const cv::Mat &image)
{
//IplImage *img = cvCloneImage(&IplImage(image));
IplImage img(image);
try{
sensor_msgs::Image::Ptr ros_img_ptr = m_bridge.cvToImgMsg(&img, "passthrough");
srv.request.Image = sensor_msgs::Image(*ros_img_ptr);
}catch (sensor_msgs::CvBridgeException error){
ROS_ERROR("error in createRequest");
}
srv.request.Objects.clear();
for(unsigned int j = 0; j < m_object_list.size(); ++j)
srv.request.Objects.push_back(m_object_list[j]);
srv.request.MaxPointsPerObject = 3;
}
// This is called whenever the node gets a new image from the camera
void DemoNode::imageCallback(const sensor_msgs::ImageConstPtr& msg)
{
// Convert image from ROS format to OpenCV format
static sensor_msgs::CvBridge bridge;
static bool init = false;
static vector<Point2f> viewCorners,foundPoints;
cv::Mat image;
try
{
image = cv::Mat(bridge.imgMsgToCv(msg, "bgr8"));
if(!init){
// Store the corners of the image for transformation purposes
viewCorners.push_back(Point2f(0,0));
viewCorners.push_back(Point2f(0,image.size().width-1));
viewCorners.push_back(Point2f(image.size().height-1,image.size().width-1));
viewCorners.push_back(Point2f(image.size().height-1,0));
}
transformPoints(viewCorners,viewCloud);
pub_view_pts.publish(viewCloud);
// Detect orange points in the image
foundPoints.clear();
findPoints(image,foundPoints);
if(foundPoints.size() > 1){
// Transform and publish points if you got any
transformPoints(foundPoints,pointCloud);
pub_nav_pts.publish(pointCloud);
}
else{
//ROS_INFO("Camera: nothing detected");
}
}
catch (sensor_msgs::CvBridgeException& e)
{
ROS_ERROR("Could not convert from '%s' to 'bgr8'. E was %s", msg->encoding.c_str(), e.what());
}
}
/// Topic callback functions.
/// Function will be called when a new message arrives on a topic.
/// @param grey_image_msg The gray values of point cloud, saved in a 32bit, 1 channel OpenCV IplImage
void greyImageCallback(const sensor_msgs::ImageConstPtr& grey_image_msg)
{
/// Do not release <code>m_GrayImage32F3</code>
/// Image allocation is managed by Cv_Bridge object
try
{
grey_image_32F1_ = cv_bridge_0_.imgMsgToCv(grey_image_msg, "passthrough");
if (grey_image_8U3_ == 0)
{
grey_image_8U3_ = cvCreateImage(cvGetSize(grey_image_32F1_), IPL_DEPTH_8U, 3);
}
ipa_Utils::ConvertToShowImage(grey_image_32F1_, grey_image_8U3_, 1, 0, 700);
cvShowImage("gray data", grey_image_8U3_);
}
catch (sensor_msgs::CvBridgeException& e)
{
ROS_ERROR("[tof_camera_viewer] Could not convert from '%s' to '32FC1'.", grey_image_msg->encoding.c_str());
}
}
/// Topic callback functions.
/// Function will be called when a new message arrives on a topic.
/// @param grey_image_msg The gray values of point cloud, saved in a 32bit, 1 channel OpenCV IplImage
void greyImageCallback(const sensor_msgs::ImageConstPtr& grey_image_msg)
{
/// Do not release <code>m_GrayImage32F3</code>
/// Image allocation is managed by Cv_Bridge object
ROS_INFO("Grey Image Callback");
try
{
grey_image_32F1_ = cv_bridge_0_.imgMsgToCv(grey_image_msg, "passthrough");
if (grey_image_8U3_ == 0)
{
grey_image_8U3_ = cvCreateImage(cvGetSize(grey_image_32F1_), IPL_DEPTH_8U, 3);
}
ipa_Utils::ConvertToShowImage(grey_image_32F1_, grey_image_8U3_, 1, 0, 800);
cvShowImage("grey data", grey_image_8U3_);
usleep(100);
int c = cvWaitKey(50);
if (c=='s' || c==536871027)
{
std::stringstream ss;
char counterBuffer [50];
sprintf(counterBuffer, "%04d", grey_image_counter_);
ss << "greyImage8U3_";
ss << counterBuffer;
ss << ".bmp";
cvSaveImage(ss.str().c_str(),grey_image_8U3_);
std::cout << "Image " << grey_image_counter_ << " saved." << std::endl;
grey_image_counter_++;
}
}
catch (sensor_msgs::CvBridgeException& e)
{
ROS_ERROR("[tof_camera_viewer] Could not convert from '%s' to '32FC1'.", grey_image_msg->encoding.c_str());
}
ROS_INFO("Image Processed");
}
/// Topic callback functions.
/// Function will be called when a new message arrives on a topic.
/// @param xyz_image_msg The point cloud, saved in a 32bit, 3 channel OpenCV IplImage
void xyzImageCallback(const sensor_msgs::ImageConstPtr& xyz_image_msg)
{
/// Do not release <code>xyz_image_32F3_</code>
/// Image allocation is managed by Cv_Bridge object
try
{
xyz_image_32F3_ = cv_bridge_1_.imgMsgToCv(xyz_image_msg, "passthrough");
if (xyz_image_8U3_ == 0)
{
xyz_image_8U3_ = cvCreateImage(cvGetSize(xyz_image_32F3_), IPL_DEPTH_8U, 3);
}
ipa_Utils::ConvertToShowImage(xyz_image_32F3_, xyz_image_8U3_, 3);
cvShowImage("z data", xyz_image_8U3_);
}
catch (sensor_msgs::CvBridgeException& e)
{
ROS_ERROR("[tof_camera_viewer] Could not convert from '%s' to '32FC1'.", xyz_image_msg->encoding.c_str());
}
}
void ImageGrabber::topicImageRawGot(const sensor_msgs::Image::ConstPtr& msg)
{
ROS_WARN("/image_raw got");
static int i = -1;
i++;
re_vision::SearchFor srv;
IplImage * img_ipl =
m_bridge.imgMsgToCv(msg, "passthrough");
cv::Mat image = cv::Mat(img_ipl).clone();
createRequest(srv, image);
stringstream ss;
for(unsigned int k = 0; k < srv.request.Objects.size(); ++k)
{
ss << srv.request.Objects[k] << " ";
}
ROS_INFO("Sending request to find object(s): %s", ss.str().c_str());
if (m_client.call(srv))
{
ROS_INFO("Request %d made ok", i);
showResponse(srv);
//if(srv.response.state.state == re_msgs::State::READY){
storeResponse(srv, image, i);
//}
}else{
ROS_ERROR("Failed to call service re_vision::SearchFor (%d)", i);
}
}
void MapMaker::image_callback(const sensor_msgs::ImageConstPtr& msg) {
// printf("callback called\n");
try
{
// if you want to work with color images, change from mono8 to bgr8
if(input_image==NULL){
input_image = cvCloneImage(bridge.imgMsgToCv(msg, "mono8"));
rotationImage=cvCloneImage(input_image);
// printf("cloned image\n");
}
else{
cvCopy(bridge.imgMsgToCv(msg, "mono8"),input_image);
// printf("copied image\n");
}
}
catch (sensor_msgs::CvBridgeException& e)
{
ROS_ERROR("Could not convert from '%s' to 'mono8'.", msg->encoding.c_str());
return;
}
if(input_image!=NULL) {
//get tf transform here and put in map
ros::Time acquisition_time = msg->header.stamp;
geometry_msgs::PoseStamped basePose;
geometry_msgs::PoseStamped mapPose;
basePose.pose.orientation.w=1.0;
ros::Duration timeout(3);
basePose.header.frame_id="/base_link";
mapPose.header.frame_id="/map";
try {
tf_listener_.waitForTransform("/base_link", "/map", acquisition_time, timeout);
tf_listener_.transformPose("/map", acquisition_time,basePose,"/base_link",mapPose);
printf("pose #%d %f %f %f\n",pic_number,mapPose.pose.position.x, mapPose.pose.position.y, tf::getYaw(mapPose.pose.orientation));
/*
char buffer [50];
sprintf (buffer, "/tmp/test%02d.jpg", pic_number);
if(!cvSaveImage(buffer,input_image,0)) printf("Could not save: %s\n",buffer);
else printf("picture taken!!!\n");
pic_number++;
*/
cv::Point_<double> center;
center.x=input_image->width/2;
center.y=input_image->height/2;
double tranlation_arr[2][3];
CvMat translation;
cvInitMatHeader(&translation,2,3,CV_64F,tranlation_arr);
cvSetZero(&translation);
cv2DRotationMatrix(center, (tf::getYaw(mapPose.pose.orientation)*180/3.14159) -90,1.0,&translation);
cvSetZero(rotationImage);
cvWarpAffine(input_image,rotationImage,&translation,CV_INTER_LINEAR+CV_WARP_FILL_OUTLIERS,cvScalarAll(0));
CvRect roi;
roi.width=rotationImage->width;
roi.height=rotationImage->height;
if(init_zero_x==0){
init_zero_x=(int)(mapPose.pose.position.x*(1.0/map_meters_per_pixel));
init_zero_y=(int)(mapPose.pose.position.y*(-1.0/map_meters_per_pixel));
}
roi.x=(int)(mapPose.pose.position.x*(1.0/map_meters_per_pixel))-init_zero_x+map_zero_x-roi.width/2;
roi.y=(int)(mapPose.pose.position.y*(-1.0/map_meters_per_pixel))-init_zero_y+map_zero_y-roi.height/2;
printf("x %d, y %d, rot %f\n",roi.x,roi.y, (tf::getYaw(mapPose.pose.orientation)*180/3.14159) -90);
cvSetImageROI(map,roi);
cvMax(map,rotationImage,map);
cvResetImageROI(map);
cvShowImage("map image",map);
}
catch (tf::TransformException& ex) {
ROS_WARN("[map_maker] TF exception:\n%s", ex.what());
printf("[map_maker] TF exception:\n%s", ex.what());
return;
}
catch(...){
printf("opencv shit itself cause our roi is bad\n");
}
}
}
void imageCb(const sensor_msgs::ImageConstPtr& l_image,
const sensor_msgs::CameraInfoConstPtr& l_cam_info,
const sensor_msgs::ImageConstPtr& r_image,
const sensor_msgs::CameraInfoConstPtr& r_cam_info)
{
ROS_INFO("In callback, seq = %u", l_cam_info->header.seq);
// Convert ROS messages for use with OpenCV
cv::Mat left, right;
try {
left = l_bridge_.imgMsgToCv(l_image, "mono8");
right = r_bridge_.imgMsgToCv(r_image, "mono8");
}
catch (sensor_msgs::CvBridgeException& e) {
ROS_ERROR("Conversion error: %s", e.what());
return;
}
cam_model_.fromCameraInfo(l_cam_info, r_cam_info);
frame_common::CamParams cam_params;
cam_params.fx = cam_model_.left().fx();
cam_params.fy = cam_model_.left().fy();
cam_params.cx = cam_model_.left().cx();
cam_params.cy = cam_model_.left().cy();
cam_params.tx = cam_model_.baseline();
if (vslam_system_.addFrame(cam_params, left, right)) {
/// @todo Not rely on broken encapsulation of VslamSystem here
int size = vslam_system_.sba_.nodes.size();
if (size % 2 == 0) {
// publish markers
sba::drawGraph(vslam_system_.sba_, cam_marker_pub_, point_marker_pub_);
}
// Publish VO tracks
if (vo_tracks_pub_.getNumSubscribers() > 0) {
frame_common::drawVOtracks(left, vslam_system_.vo_.frames, vo_display_);
IplImage ipl = vo_display_;
sensor_msgs::ImagePtr msg = sensor_msgs::CvBridge::cvToImgMsg(&ipl);
msg->header = l_cam_info->header;
vo_tracks_pub_.publish(msg, l_cam_info);
}
// Refine large-scale SBA.
const int LARGE_SBA_INTERVAL = 10;
if (size > 4 && size % LARGE_SBA_INTERVAL == 0) {
ROS_INFO("Running large SBA on %d nodes", size);
vslam_system_.refine();
}
if (pointcloud_pub_.getNumSubscribers() > 0 && size % 2 == 0)
publishRegisteredPointclouds(vslam_system_.sba_, vslam_system_.frames_, pointcloud_pub_);
// Publish odometry data to tf.
if (0) // TODO: Change this to parameter.
{
ros::Time stamp = l_cam_info->header.stamp;
std::string image_frame = l_cam_info->header.frame_id;
Eigen::Vector4d trans = -vslam_system_.sba_.nodes.back().trans;
Eigen::Quaterniond rot = vslam_system_.sba_.nodes.back().qrot.conjugate();
trans.head<3>() = rot.toRotationMatrix()*trans.head<3>();
tf_transform_.setOrigin(tf::Vector3(trans(0), trans(1), trans(2)));
tf_transform_.setRotation(tf::Quaternion(rot.x(), rot.y(), rot.z(), rot.w()) );
tf::Transform simple_transform;
simple_transform.setOrigin(tf::Vector3(0, 0, 0));
simple_transform.setRotation(tf::Quaternion(.5, -.5, .5, .5));
tf_broadcast_.sendTransform(tf::StampedTransform(tf_transform_, stamp, image_frame, "visual_odom"));
tf_broadcast_.sendTransform(tf::StampedTransform(simple_transform, stamp, "visual_odom", "pgraph"));
// Publish odometry data on topic.
if (odom_pub_.getNumSubscribers() > 0)
{
tf::StampedTransform base_to_image;
tf::Transform base_to_visodom;
try
{
tf_listener_.lookupTransform(image_frame, "/base_footprint",
stamp, base_to_image);
}
catch (tf::TransformException ex)
{
ROS_WARN("%s",ex.what());
return;
}
base_to_visodom = tf_transform_.inverse() * base_to_image;
geometry_msgs::PoseStamped pose;
nav_msgs::Odometry odom;
pose.header.frame_id = "/visual_odom";
pose.pose.position.x = base_to_visodom.getOrigin().x();
pose.pose.position.y = base_to_visodom.getOrigin().y();
pose.pose.position.z = base_to_visodom.getOrigin().z();
pose.pose.orientation.x = base_to_visodom.getRotation().x();
pose.pose.orientation.y = base_to_visodom.getRotation().y();
pose.pose.orientation.z = base_to_visodom.getRotation().z();
pose.pose.orientation.w = base_to_visodom.getRotation().w();
odom.header.stamp = stamp;
odom.header.frame_id = "/visual_odom";
odom.child_frame_id = "/base_footprint";
odom.pose.pose = pose.pose;
/* odom.pose.covariance[0] = 1;
odom.pose.covariance[7] = 1;
odom.pose.covariance[14] = 1;
odom.pose.covariance[21] = 1;
odom.pose.covariance[28] = 1;
odom.pose.covariance[35] = 1; */
odom_pub_.publish(odom);
}
}
}
}
/////////////////////////////////////////////////////////////////////
// Image callback
void imageCBAll(const sensor_msgs::Image::ConstPtr &left, const sensor_msgs::CameraInfo::ConstPtr &left_info, const sensor_msgs::Image::ConstPtr &disp, const sensor_msgs::CameraInfo::ConstPtr &right_info)
{
// Convert the image to OpenCV
IplImage *cv_image_left = NULL;
try
{
cv_image_left = lbridge_.imgMsgToCv(left,"mono8");
}
catch(sensor_msgs::CvBridgeException error)
{
ROS_ERROR("CvBridge: Error converting image");
}
IplImage *cv_image_disp = NULL;
try
{
cv_image_disp = dbridge_.imgMsgToCv(disp,"mono16");
}
catch(sensor_msgs::CvBridgeException error)
{
ROS_ERROR("CvBridge: Error converting disparity");
}
// TODO: Finish this function
// TODO: Preprocess the image for the detector
cv::Mat img(cv_image_left,false);
cv::Mat *small_img;
std::vector<cv::Rect> found;
if (!use_depth_) {
// Timing
struct timeval timeofday;
gettimeofday(&timeofday,NULL);
ros::Time startt = ros::Time().fromNSec(1e9*timeofday.tv_sec + 1e3*timeofday.tv_usec);
// Run the HOG detector. Similar to samples/peopledetect.cpp.
hog_.detectMultiScale(img, found, hit_threshold_, cv::Size(8,8), cv::Size(24,16), 1.05, group_threshold_);
small_img = &img;
// Timing
gettimeofday(&timeofday,NULL);
ros::Time endt = ros::Time().fromNSec(1e9*timeofday.tv_sec + 1e3*timeofday.tv_usec);
ros::Duration diff = endt-startt;
ROS_DEBUG_STREAM_NAMED("pedestrian_detector","No depth, duration " << diff.toSec() );
}
else {
ROS_ERROR("Height-based context for the pedestrian detector is not currently available.");
#if 0
// Convert the stereo calibration into a camera model. Only done once.
if (!cam_model_) {
double Fx = right_info->P[0];
double Fy = right_info->P[5];
double Clx = right_info->P[2];
double Crx = Clx;
double Cy = right_info->P[6];
double Tx = -right_info->P[3]/Fx;
cam_model_ = new CvStereoCamModel(Fx,Fy,Tx,Clx,Crx,Cy,1.0/16.0);
}
// Timing
struct timeval timeofday;
gettimeofday(&timeofday,NULL);
ros::Time startt = ros::Time().fromNSec(1e9*timeofday.tv_sec + 1e3*timeofday.tv_usec);
////////////////////////////////
// Get a 3d point for each pixel
CvMat *uvd = cvCreateMat(img.cols*img.rows,3,CV_32FC1);
CvMat *xyz = cvCreateMat(img.cols*img.rows,3,CV_32FC1);
// Convert image uvd to world xyz.
float *fptr = (float*)(uvd->data.ptr);
ushort *cptr;
for (int v =0; v < img.rows; ++v) {
cptr = (ushort*)(cv_image_disp->imageData+v*cv_image_disp->widthStep);
for (int u=0; u<img.cols; ++u) {
(*fptr) = (float)u; ++fptr;
(*fptr) = (float)v; ++fptr;
(*fptr) = (float)(*cptr); ++fptr; ++cptr;
}
}
cam_model_->dispToCart(uvd,xyz);
//CvMat *y = cvCreateMat(img.cols*img.rows,1,CV_32FC1);
//CvMat *z = cvCreateMat(img.cols*img.rows,1,CV_32FC1);
//cvSplit(xyz, NULL, y, z, NULL);
cv::Mat xyzmat(xyz,false);
//cv::Mat zmap(z,false);
if (use_height_) {
// Remove the ceiling
int top_row;
removeCeiling(img, xyzmat, left->header.frame_id, left->header.stamp, max_height_m_, top_row);
small_img = new cv::Mat(img, cv::Rect(cv::Point(0, top_row), cv::Size(img.cols, img.rows-top_row)));
}
else {
small_img = &img;
}
hog_.detectMultiScale(*small_img, found, hit_threshold_, cv::Size(8,8), cv::Size(24,16), 1.05, group_threshold_);
// cvReleaseMat(&z);
cvReleaseMat(&uvd);
cvReleaseMat(&xyz);
// Timing
gettimeofday(&timeofday,NULL);
ros::Time endt = ros::Time().fromNSec(1e9*timeofday.tv_sec + 1e3*timeofday.tv_usec);
ros::Duration diff = endt-startt;
ROS_DEBUG_STREAM_NAMED("pedestrian_detector","Remove ceiling, duration " << diff.toSec() );
#endif
}
// TODO: Publish the found people.
for( int i = 0; i < (int)found.size(); i++ )
{
cv::Rect r = found[i];
cv::rectangle(*small_img, r.tl(), r.br(), cv::Scalar(0,255,0), 1);
}
ostringstream fname;
fname << "/tmp/left_HOG_OpenCV_results2/" << setfill('0') << setw(6) << counter << "L.jpg";
counter ++;
cv::imwrite(fname.str(), *small_img);
//cv::imshow("people detector", img);
//cv::waitKey(3);
// TODO: Release the sequence and related memory.
}
void getCapCallback (const sensor_msgs::ImageConstPtr & image_msg)
{
if(init){
CvSize sz_ = cvSize (cam->x_res, cam->y_res);
capture_ = cvCreateImage (sz_, IPL_DEPTH_8U, 4);
init = false;
}
//If we've already gotten the cam info, then go ahead
if(cam->getCamInfo_){
try{
tf::StampedTransform CamToOutput;
try{
tf_listener->waitForTransform(output_frame, image_msg->header.frame_id, image_msg->header.stamp, ros::Duration(1.0));
tf_listener->lookupTransform(output_frame, image_msg->header.frame_id, image_msg->header.stamp, CamToOutput);
}
catch (tf::TransformException ex){
ROS_ERROR("%s",ex.what());
}
capture_ = bridge_.imgMsgToCv (image_msg, "rgb8");
marker_detector.Detect(capture_, cam, true, false, max_new_marker_error, max_track_error, CVSEQ, true);
arPoseMarkers_.markers.clear ();
for (size_t i=0; i<marker_detector.markers->size(); i++)
{
//Get the pose relative to the camera
int id = (*(marker_detector.markers))[i].GetId();
Pose p = (*(marker_detector.markers))[i].pose;
double px = p.translation[0]/100.0;
double py = p.translation[1]/100.0;
double pz = p.translation[2]/100.0;
double qx = p.quaternion[1];
double qy = p.quaternion[2];
double qz = p.quaternion[3];
double qw = p.quaternion[0];
tf::Quaternion rotation (qx,qy,qz,qw);
tf::Vector3 origin (px,py,pz);
tf::Transform t (rotation, origin);
tf::Vector3 markerOrigin (0, 0, 0);
tf::Transform m (tf::Quaternion::getIdentity (), markerOrigin);
tf::Transform markerPose = t * m; // marker pose in the camera frame
//Publish the transform from the camera to the marker
std::string markerFrame = "ar_marker_";
std::stringstream out;
out << id;
std::string id_string = out.str();
markerFrame += id_string;
tf::StampedTransform camToMarker (t, image_msg->header.stamp, image_msg->header.frame_id, markerFrame.c_str());
tf_broadcaster->sendTransform(camToMarker);
//Create the rviz visualization messages
tf::poseTFToMsg (markerPose, rvizMarker_.pose);
rvizMarker_.header.frame_id = image_msg->header.frame_id;
rvizMarker_.header.stamp = image_msg->header.stamp;
rvizMarker_.id = id;
rvizMarker_.scale.x = 1.0 * marker_size/100.0;
rvizMarker_.scale.y = 1.0 * marker_size/100.0;
rvizMarker_.scale.z = 0.2 * marker_size/100.0;
rvizMarker_.ns = "basic_shapes";
rvizMarker_.type = visualization_msgs::Marker::CUBE;
rvizMarker_.action = visualization_msgs::Marker::ADD;
switch (id)
{
case 0:
rvizMarker_.color.r = 0.0f;
rvizMarker_.color.g = 0.0f;
rvizMarker_.color.b = 1.0f;
rvizMarker_.color.a = 1.0;
break;
case 1:
rvizMarker_.color.r = 1.0f;
rvizMarker_.color.g = 0.0f;
rvizMarker_.color.b = 0.0f;
rvizMarker_.color.a = 1.0;
break;
case 2:
rvizMarker_.color.r = 0.0f;
rvizMarker_.color.g = 1.0f;
rvizMarker_.color.b = 0.0f;
rvizMarker_.color.a = 1.0;
break;
case 3:
rvizMarker_.color.r = 0.0f;
rvizMarker_.color.g = 0.5f;
rvizMarker_.color.b = 0.5f;
rvizMarker_.color.a = 1.0;
break;
case 4:
rvizMarker_.color.r = 0.5f;
rvizMarker_.color.g = 0.5f;
rvizMarker_.color.b = 0.0;
rvizMarker_.color.a = 1.0;
break;
default:
rvizMarker_.color.r = 0.5f;
rvizMarker_.color.g = 0.0f;
rvizMarker_.color.b = 0.5f;
rvizMarker_.color.a = 1.0;
break;
}
rvizMarker_.lifetime = ros::Duration (1.0);
rvizMarkerPub_.publish (rvizMarker_);
//Get the pose of the tag in the camera frame, then the output frame (usually torso)
tf::Transform tagPoseOutput = CamToOutput * markerPose;
//Create the pose marker messages
ar_track_alvar::AlvarMarker ar_pose_marker;
tf::poseTFToMsg (tagPoseOutput, ar_pose_marker.pose.pose);
ar_pose_marker.header.frame_id = output_frame;
ar_pose_marker.header.stamp = image_msg->header.stamp;
ar_pose_marker.id = id;
arPoseMarkers_.markers.push_back (ar_pose_marker);
}
arMarkerPub_.publish (arPoseMarkers_);
}
catch (sensor_msgs::CvBridgeException & e){
ROS_ERROR ("Could not convert from '%s' to 'rgb8'.", image_msg->encoding.c_str ());
}
}
}
void image_callback (const sensor_msgs::ImageConstPtr& received_image)
{
//if image is not de-bayered yet do it (needed for Prosilica image on PR2 robot)
if (received_image->encoding.find("bayer") != std::string::npos)
{
cv::Mat tmpImage;
const std::string& raw_encoding = received_image->encoding;
int raw_type = CV_8UC1;
if (raw_encoding == sensor_msgs::image_encodings::BGR8 || raw_encoding == sensor_msgs::image_encodings::RGB8)
raw_type = CV_8UC3;
const cv::Mat raw(received_image->height, received_image->width, raw_type,
const_cast<uint8_t*>(&received_image->data[0]), received_image->step);
// Convert to color BGR
int code = 0;
if (received_image->encoding == sensor_msgs::image_encodings::BAYER_RGGB8)
code = CV_BayerBG2BGR;
else if (received_image->encoding == sensor_msgs::image_encodings::BAYER_BGGR8)
code = CV_BayerRG2BGR;
else if (received_image->encoding == sensor_msgs::image_encodings::BAYER_GBRG8)
code = CV_BayerGR2BGR;
else if (received_image->encoding == sensor_msgs::image_encodings::BAYER_GRBG8)
code = CV_BayerGB2BGR;
else
{
ROS_ERROR("[image_proc] Unsupported encoding '%s'", received_image->encoding.c_str());
return;
}
cv::cvtColor(raw, tmpImage, code);
cv::Mat tmp2;
cv::cvtColor(tmpImage, tmp2, CV_BGR2GRAY);
camera_image = cvCreateImage(cvSize(800, 600), IPL_DEPTH_8U, 1);
IplImage ti;
ti = tmp2;
cvSetImageROI(&ti, cvRect(300, 300, 1848, 1450));
cvResize(&ti, camera_image);
}
else
{
camera_image = bridge.imgMsgToCv(received_image, "mono8");
}
printf("\n\n");
ROS_INFO("Image received!");
//call main processing function
if (camera_image->width == 2)
{
//if (visualization_mode_ == SEQUENCES && sequence_buffer.size() == 0)
//return;
ROS_INFO("Special image for end of sequence detected! Switching to SEQUENCE mode!\n");
visualization_mode_ = SEQUENCES;
//std::sort(sequence_buffer.begin(), sequence_buffer.end());
visualize(camera_image, NULL, NULL);
clear_sequence_buffer();
return;
}
std::string result = process_image(camera_image);
//image_pub_.publish(bridge.cvToImgMsg(image_roi));
image_pub_.publish(bridge.cvToImgMsg(camera_image));
ROS_INFO("[ODUFinder:] image published to %s", output_image_topic_.c_str());
if (image_roi != NULL)
cvReleaseImage(&image_roi);
//msg.data = name.substr(0, name.find_last_of('.')).c_str();
//publish the result to http://www.ros.org/wiki/cop
if (result.length() > 0)
{
vision_msgs::cop_answer msg;
vision_msgs::cop_descriptor cop_descriptor;
vision_msgs::aposteriori_position aposteriori_position;
msg.found_poses.push_back(aposteriori_position);
msg.found_poses[0].models.push_back(cop_descriptor);
//TODO: only one needed probably, ask Moritz
msg.found_poses[0].models[0].type = "ODUFinder";
msg.found_poses[0].models[0].sem_class = result;
msg.found_poses[0].models[0].object_id = ++object_id;
msg.found_poses[0].position = 0;
template_publisher.publish(msg);
}
}
//Callback to handle getting video frames and processing them
void getCapCallback (const sensor_msgs::ImageConstPtr & image_msg)
{
if(init){
CvSize sz_ = cvSize (cam->x_res, cam->y_res);
capture_ = cvCreateImage (sz_, IPL_DEPTH_8U, 4);
init = false;
}
//If we've already gotten the cam info, then go ahead
if(cam->getCamInfo_){
try{
//Get the transformation from the Camera to the output frame for this image capture
tf::StampedTransform CamToOutput;
try{
tf_listener->waitForTransform(output_frame, image_msg->header.frame_id, image_msg->header.stamp, ros::Duration(1.0));
tf_listener->lookupTransform(output_frame, image_msg->header.frame_id, image_msg->header.stamp, CamToOutput);
}
catch (tf::TransformException ex){
ROS_ERROR("%s",ex.what());
}
visualization_msgs::Marker rvizMarker;
ar_track_alvar::AlvarMarker ar_pose_marker;
arPoseMarkers_.markers.clear ();
//Convert the image
capture_ = bridge_.imgMsgToCv (image_msg, "rgb8");
//Get the estimated pose of the main markers by using all the markers in each bundle
GetMultiMarkerPoses(capture_);
//Draw the observed markers that are visible and note which bundles have at least 1 marker seen
for(int i=0; i<n_bundles; i++)
bundles_seen[i] = false;
for (size_t i=0; i<marker_detector.markers->size(); i++)
{
int id = (*(marker_detector.markers))[i].GetId();
// Draw if id is valid
if(id >= 0){
//Mark the bundle that marker belongs to as "seen"
for(int j=0; j<n_bundles; j++){
for(int k=0; k<bundle_indices[j].size(); k++){
if(bundle_indices[j][k] == id){
bundles_seen[j] = true;
break;
}
}
}
// Don't draw if it is a master tag...we do this later, a bit differently
bool should_draw = true;
for(int i=0; i<n_bundles; i++){
if(id == master_id[i]) should_draw = false;
}
if(should_draw){
Pose p = (*(marker_detector.markers))[i].pose;
makeMarkerMsgs(VISIBLE_MARKER, id, p, image_msg, CamToOutput, &rvizMarker, &ar_pose_marker);
rvizMarkerPub_.publish (rvizMarker);
}
}
}
//Draw the main markers, whether they are visible or not -- but only if at least 1 marker from their bundle is currently seen
for(int i=0; i<n_bundles; i++)
{
if(bundles_seen[i] == true){
makeMarkerMsgs(MAIN_MARKER, master_id[i], bundlePoses[i], image_msg, CamToOutput, &rvizMarker, &ar_pose_marker);
rvizMarkerPub_.publish (rvizMarker);
arPoseMarkers_.markers.push_back (ar_pose_marker);
}
}
//Publish the marker messages
arMarkerPub_.publish (arPoseMarkers_);
}
catch (sensor_msgs::CvBridgeException & e){
ROS_ERROR ("Could not convert from '%s' to 'rgb8'.", image_msg->encoding.c_str ());
}
}
}
void FeatureTracker::image_callback(const sensor_msgs::ImageConstPtr& msg, const sensor_msgs::CameraInfoConstPtr& info_msg) {
//need pose data for each picture, need to publish a camera pose
ros::Time acquisition_time = msg->header.stamp;
geometry_msgs::PoseStamped basePose;
geometry_msgs::PoseStamped mapPose;
basePose.pose.orientation.w=1.0;
ros::Duration timeout(3);
basePose.header.frame_id="/base_link";
mapPose.header.frame_id="/map";
try {
tf_listener_.waitForTransform("/camera_1_link", "/map", acquisition_time, timeout);
tf_listener_.transformPose("/map", acquisition_time,basePose,"/camera_1_link",mapPose);
printf("pose #%d %f %f %f\n",pic_number++,mapPose.pose.position.x, mapPose.pose.position.y, tf::getYaw(mapPose.pose.orientation));
}
catch (tf::TransformException& ex) {
ROS_WARN("[map_maker] TF exception:\n%s", ex.what());
printf("[map_maker] TF exception:\n%s", ex.what());
return;
}
cam_model.fromCameraInfo(info_msg);
// printf("callback called\n");
try
{
// if you want to work with color images, change from mono8 to bgr8
if(image_rect==NULL){
image_rect = cvCloneImage(bridge.imgMsgToCv(msg, "mono8"));
last_image= cvCloneImage(bridge.imgMsgToCv(msg, "mono8"));
pyrA=cvCreateImage(cvSize(last_image->width+8,last_image->height/3.0), IPL_DEPTH_32F, 1);
pyrB=cvCloneImage(pyrA);
// printf("cloned image\n");
}
else{
//save the last image
cvCopy(image_rect,last_image);
cvCopy(bridge.imgMsgToCv(msg, "mono8"),image_rect);
// printf("copied image\n");
}
if(output_image==NULL){
output_image =cvCloneImage(image_rect);
}
if(eigImage==NULL){
eigImage =cvCloneImage(image_rect);
}
if(tempImage==NULL){
tempImage =cvCloneImage(image_rect);
}
}
catch (sensor_msgs::CvBridgeException& e)
{
ROS_ERROR("Could not convert from '%s' to 'mono8'.", msg->encoding.c_str());
return;
}
if(image_rect!=NULL) {
cvCopy(image_rect,output_image);
printf("got image\n");
track_features(mapPose);
//draw features on the image
for(int i=0;i<last_feature_count;i++){
CvPoint center=cvPoint((int)features[i].x,(int)features[i].y);
cvCircle(output_image,center,10,cvScalar(150),2);
char strbuf [10];
int n=sprintf(strbuf,"%d",current_feature_id[ i] );
std::string text=std::string(strbuf,n);
CvFont font;
cvInitFont(&font,CV_FONT_HERSHEY_SIMPLEX,1,1);
cvPutText(output_image,text.c_str(),cvPoint(center.x,center.y+20),&font,cvScalar(255));
cv::Point3d tempRay;
cv::Point2d tempPoint=cv::Point2d(features[i]);
cam_model.projectPixelTo3dRay(tempPoint,tempRay);
// printf("%f x %f y %f z\n",tempRay.x,tempRay.y,tempRay.z);
}
// featureList[0].print();
//determine error gradient
int min_features=10;
// printf("ypr %f %f %f\n",yaw,pitch,roll);
cv::Point3d error_sum=calc_error(min_features,0, 0, 0);
printf("total error is : %f\n",error_sum.x);
for(int i=0;i<featureList.size();i++){
if(min_features<featureList[i].numFeatures()){
printf("\n\n\nfeature %d\n",i);
printf("mean: %f %f %f\n",featureList[i].currentMean.x, featureList[i].currentMean.y, featureList[i].currentMean.z);
}
}
// double error_up= calc_error(min_features,yalpha, 0, 0);
// printf("total up yaw error is : %f\n",error_up);
// double error_down= calc_error(min_features,-yalpha, 0, 0);
// printf("total down yaw error is : %f\n",error_down);
/*
double yaw_change=0;
if(error_up<error_sum && error_up<error_down){
yaw_change=yalpha;
}else if(error_down<error_sum && error_down<error_up){
yaw_change=-yalpha;
}else if(error_down!=error_sum&&error_sum!=error_up){
yalpha/=2;
}
error_up= calc_error(min_features,0,palpha, 0);
// printf("total up pitch error is : %f\n",error_up);
error_down= calc_error(min_features,0,-palpha, 0);
// printf("total down pitch error is : %f\n",error_down);
double pitch_change=0;
if(error_up<error_sum && error_up<error_down){
pitch_change=palpha;
}else if(error_down<error_sum && error_down<error_up){
pitch_change=-palpha;
}else if(error_down!=error_sum&&error_sum!=error_up){
//palpha/=2;
}
error_up= calc_error(min_features,0,0,ralpha);
// printf("total up roll error is : %f\n",error_up);
error_down= calc_error(min_features,0,0,-ralpha);
// printf("total down roll error is : %f\n",error_down);
double roll_change=0;
if(error_up<error_sum && error_up<error_down){
roll_change=ralpha;
}else if(error_down<error_sum && error_down<error_up){
roll_change=-ralpha;
}else if(error_down!=error_sum&&error_sum!=error_up){
ralpha/=2;
}
// yaw+=yaw_change;
// pitch+=pitch_change;
// roll+=roll_change;
*/
try{
sensor_msgs::Image output_image_cvim =*bridge.cvToImgMsg(output_image, "mono8");
output_image_cvim.header.stamp=msg->header.stamp;
analyzed_pub_.publish(output_image_cvim);
}
catch (sensor_msgs::CvBridgeException& e){
ROS_ERROR("Could not convert from '%s' to 'mono8'.", msg->encoding.c_str());
return;
}
// printf("displaying image\n");
}else{
// printf("null image_rect\n");
}
}
bool is_thick(image_processor::ProcessBridge::Request &req,
image_processor::ProcessBridge::Response &res )
{
sensor_msgs::Image image = req.image;
sensor_msgs::Image image2 = req.image2;
sensor_msgs::ImagePtr img_ptr(new sensor_msgs::Image(image));
sensor_msgs::CameraInfo cam_info = req.info;
IplImage *cv_image;
IplImage *cv_image2;
try
{
cv_image = bridge_.imgMsgToCv(img_ptr, "bgr8");
}
catch (sensor_msgs::CvBridgeException error)
{
ROS_ERROR("error");
return false;
}
CvPoint2D64f temp_pts[128];
double temp_params[128];
//Crop image
cvSetImageROI(cv_image,cvRect(CROP_X,CROP_Y,CROP_WIDTH,CROP_HEIGHT));
IplImage* cropped_image = cvCloneImage(cv_image);
cvSaveImage("/home/stephen/cropped_image1.png",cropped_image);
sensor_msgs::ImagePtr img2_ptr(new sensor_msgs::Image(image2));
try{
cv_image2 = bridge_.imgMsgToCv(img2_ptr, "bgr8");
}
catch (sensor_msgs::CvBridgeException error)
{
ROS_ERROR("error");
return false;
}
cvSetImageROI(cv_image,cvRect(CROP_X,CROP_Y,CROP_WIDTH,CROP_HEIGHT));
IplImage* cropped_image2 = cvCloneImage(cv_image2);
cvSaveImage("/home/stephen/cropped_image2.png",cropped_image2);
cvReleaseImage(&cropped_image);
cvReleaseImage(&cropped_image2);
IplImage* new_cropped_image = cvLoadImage("/home/stephen/cropped_image1.png");
IplImage* new_cropped_image2 = cvLoadImage("/home/stephen/cropped_image2.png");
IplImage *output_cv_image;
int num_pts = 0;
int num_params = 0;
output_cv_image = is_thick_process(new_cropped_image,temp_pts,temp_params,num_pts,num_params,new_cropped_image2);
for( int i = 0; i < num_pts; i++){
res.pts_x.push_back(temp_pts[i].x);
res.pts_y.push_back(temp_pts[i].y);
}
for ( int i = 0; i < num_params; i++){
res.params.push_back(temp_params[i]);
}
sensor_msgs::ImagePtr output_img_ptr;
sensor_msgs::Image output_img;
try
{
output_img_ptr = bridge_.cvToImgMsg(output_cv_image, "bgr8");
output_img = *output_img_ptr;
}
catch (sensor_msgs::CvBridgeException error)
{
ROS_ERROR("error");
return false;
}
res.image_annotated = output_img;
return true;
}
