GeoYolo-SLAM/MaskRCNN_ROS/include/maskrcnn_ros/maskrcnn_client.h

142 lines
4.7 KiB
C++
Executable File

// OpenCV
#include <cv_bridge/cv_bridge.h>
#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
// ROS
#include <actionlib/client/simple_action_client.h>
#include <image_transport/image_transport.h>
// maskrcnn
#include <maskrcnn_ros/batchAction.h> // Note: "Action" is appended
#include <ros/ros.h>
//log
#include <glog/logging.h>
namespace maskrcnn_ros {
typedef actionlib::SimpleActionClient<maskrcnn_ros::batchAction> Client;
class MaskRCNN_Client_Batch {
public:
typedef std::shared_ptr<MaskRCNN_Client_Batch> Ptr;
batchResultConstPtr mResult;
MaskRCNN_Client_Batch(const std::string& t_name, const bool t_spin)
: ac(t_name, t_spin)
{
LOG(INFO) << "Waiting for action server to start.";
std::cout << "Waiting for action server to start." << std::endl;
ac.waitForServer();
LOG(INFO) << "Action server ready";
factory_id_ = -1;
}
// void Segment(const std::vector<cv::Mat>& in_images, std::vector<cv::Mat>& out_label, std::vector<cv::Mat>& out_score, int out_object_num)
void Segment(const std::vector<cv::Mat>& in_images, std::vector<cv::Mat>& out_label)
{
std::cout << "-----------------" << std::endl;
int batch_size = in_images.size();
if (batch_size <= 0) {
LOG(ERROR) << "No image data";
return;
}
batchGoal goal;
goal.id = ++factory_id_;
for (size_t i = 0; i < batch_size; i++) {
cv_bridge::CvImage cvImage(std_msgs::Header(), sensor_msgs::image_encodings::BGR8, in_images[i]);
// smImages[i] = *(cvImage.toImageMsg());
goal.image.push_back(*(cvImage.toImageMsg()));
}
// goal.image = smImages;
std::cout << "Sending request: " << goal.id << std::endl;
LOG(INFO) << "Sending request: " << goal.id;
// std::cout << "batch size: " << goal.batch_size << std::endl;
// Need boost::bind to pass in the 'this' pointer
ac.sendGoal(goal);
std::cout << "Request ID: " << goal.id << std::endl;
//wait for the action to return
bool finished_before_timeout = ac.waitForResult(ros::Duration(30.0));
if (finished_before_timeout) {
actionlib::SimpleClientGoalState state = ac.getState();
ROS_INFO("Action finished: %s", state.toString().c_str());
} else {
ROS_INFO("Action did not finish before the time out.");
}
mResult = ac.getResult();
// out_object_num = mResult->object_num;
for (size_t i = 0; i < batch_size; i++) {
cv::Mat label = cv_bridge::toCvCopy(mResult->label[i])->image;
// cv::Mat score = cv_bridge::toCvCopy(mResult->score[i])->image;
out_label.push_back(label);
// out_score.push_back(score);
}
}
void RequestSegmentation(const std::vector<cv::Mat>& inBatchImages)
{
std::cout << "-----------------" << std::endl;
int batch_size = inBatchImages.size();
if (batch_size <= 0) {
LOG(ERROR) << "No image data";
std::cout << "No image data" << std::endl;
return;
}
batchGoal goal;
goal.id = ++factory_id_;
// goal.batch_size = batch_size;
for (size_t i = 0; i < batch_size; i++) {
cv_bridge::CvImage cvImage(std_msgs::Header(), sensor_msgs::image_encodings::BGR8, inBatchImages[i]);
// smImages[i] = *(cvImage.toImageMsg());
goal.image.push_back(*(cvImage.toImageMsg()));
}
// goal.image = smImages;
std::cout << "Sending request: " << goal.id << std::endl;
// std::cout << "batch size: " << goal.batch_size << std::endl;
// Need boost::bind to pass in the 'this' pointer
ac.sendGoal(goal,
boost::bind(&MaskRCNN_Client_Batch::doneCb, this, _1, _2),
Client::SimpleActiveCallback(),
Client::SimpleFeedbackCallback());
std::cout << "Request ID: " << goal.id << std::endl;
//wait for the action to return
bool finished_before_timeout = ac.waitForResult(ros::Duration(30.0));
if (finished_before_timeout) {
actionlib::SimpleClientGoalState state = ac.getState();
ROS_INFO("Action finished: %s", state.toString().c_str());
} else {
ROS_INFO("Action did not finish before the time out.");
}
}
void doneCb(const actionlib::SimpleClientGoalState& state,
const batchResultConstPtr& result)
{
ROS_INFO("Finished in state [%s]", state.toString().c_str());
ROS_INFO("Answer: %i", result->id);
// ros::shutdown();
}
private:
Client ac;
long int factory_id_;
};
}