face_normalizer_node.cpp

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#ifdef __LINUX__
#include "cob_people_detection/face_normalizer_node.h"
#include "cob_vision_utils/GlobalDefines.h"
#else
#endif

// OpenCV
#include "opencv/cv.h"
#include "opencv/highgui.h"
#include <cv_bridge/cv_bridge.h>
#include <sensor_msgs/image_encodings.h>

// Boost
#include <boost/shared_ptr.hpp>
#include "cob_people_detection/face_normalizer_node.h"
using namespace ipa_PeopleDetector;

// Prevent deleting memory twice, when using smart pointer
void voidDeleter(const sensor_msgs::Image* const )
{
}

FaceNormalizerNode::FaceNormalizerNode(ros::NodeHandle nh) :
        node_handle_(nh)
{
        //node_handle_.param("debug", debug, false);
        //std::cout << "debug = " << debug << "\n";


        // advertise topics
        norm_face_publisher_ = node_handle_.advertise<cob_perception_msgs::ColorDepthImageCropArray>("norm_faces", 1);

        // subscribe to head detection topic
        face_position_subscriber_ = nh.subscribe("face_positions", 1, &FaceNormalizerNode::facePositionsCallback, this);
}

FaceNormalizerNode::~FaceNormalizerNode(void)
{
}

void FaceNormalizerNode::facePositionsCallback(const cob_perception_msgs::ColorDepthImageArray::ConstPtr& face_positions)
{
        // receive head and face positions and recognize faces in the face region, finally publish detected and recognized faces

        // --- convert color image patches of head regions and contained face bounding boxes ---
        cv_bridge::CvImageConstPtr cv_ptr;
        std::vector < cv::Mat > heads_color_images;
        heads_color_images.resize(face_positions->head_detections.size());
        std::vector < cv::Mat > heads_depth_images;
        heads_depth_images.resize(face_positions->head_detections.size());
        std::vector < std::vector<cv::Rect>> face_bounding_boxes;
        face_bounding_boxes.resize(face_positions->head_detections.size());
        std::vector < cv::Rect > head_bounding_boxes;
        head_bounding_boxes.resize(face_positions->head_detections.size());
        for (unsigned int i = 0; i < face_positions->head_detections.size(); i++)
        {
                // color image
                {
                        sensor_msgs::ImageConstPtr msgPtr = boost::shared_ptr<sensor_msgs::Image const>(&(face_positions->head_detections[i].color_image), voidDeleter);
                        try
                        {
                                cv_ptr = cv_bridge::toCvShare(msgPtr, sensor_msgs::image_encodings::BGR8);
                        } catch (cv_bridge::Exception& e)
                        {
                                ROS_ERROR("cv_bridge exception: %s", e.what());
                                return;
                        }
                        heads_color_images[i] = cv_ptr->image;
                }

                // depth image
                sensor_msgs::ImageConstPtr msgPtr = boost::shared_ptr<sensor_msgs::Image const>(&(face_positions->head_detections[i].depth_image), voidDeleter);
                try
                {
                        cv_ptr = cv_bridge::toCvShare(msgPtr, sensor_msgs::image_encodings::TYPE_32FC3);
                } catch (cv_bridge::Exception& e)
                {
                        ROS_ERROR("cv_bridge exception: %s", e.what());
                        return;
                }
                heads_depth_images[i] = cv_ptr->image;

                // face bounding boxes
                face_bounding_boxes[i].resize(face_positions->head_detections[i].face_detections.size());
                for (uint j = 0; j < face_bounding_boxes[i].size(); j++)
                {
                        const cob_perception_msgs::Rect& source_rect = face_positions->head_detections[i].face_detections[j];
                        cv::Rect rect(source_rect.x, source_rect.y, source_rect.width, source_rect.height);
                        face_bounding_boxes[i][j] = rect;
                }

                // head bounding box
                const cob_perception_msgs::Rect& source_rect = face_positions->head_detections[i].head_detection;
                cv::Rect rect(source_rect.x, source_rect.y, source_rect.width, source_rect.height);
                head_bounding_boxes[i] = rect;
        }

        std::vector < cv::Mat > crops;
        for (size_t i = 0; i < heads_depth_images.size(); i++)
        {

                for (size_t j = 0; j < face_bounding_boxes[i].size(); j++)
                {
                        int dim = 160;
                        //  cv::Mat bgr_crop=heads_color_images[i](face_bounding_boxes[i][j]);
                        //  cv::Mat xyz_crop=heads_depth_images[i](face_bounding_boxes[i][j]);
                        cv::Mat bgr_crop, xyz_crop;
                        heads_color_images[i](face_bounding_boxes[i][j]).copyTo(bgr_crop);
                        heads_depth_images[i](face_bounding_boxes[i][j]).copyTo(xyz_crop);
                        cv::Vec2f offset;
                        offset[0] = head_bounding_boxes[i].x + face_bounding_boxes[i][j].x;
                        offset[1] = head_bounding_boxes[i].y + face_bounding_boxes[i][j].y;
                        cv::Size norm_size = cv::Size(160, 160);
                        //face_normalizer_.captureScene(bgr_crop,xyz_crop,offset);
                        face_normalizer_.normalizeFace(bgr_crop, xyz_crop, norm_size, offset);
                        crops.push_back(bgr_crop);

                }
        }

        cob_perception_msgs::ColorDepthImageCropArray image_array;
        image_array.cdia = *face_positions;
        image_array.crops.resize(crops.size());
        for (unsigned int i = 0; i < crops.size(); i++)
        {
                cv_bridge::CvImage cv_ptr;
                cv_ptr.image = crops[i];
                cv_ptr.encoding = sensor_msgs::image_encodings::BGR8;
                image_array.crops[i] = *(cv_ptr.toImageMsg());
        }

        norm_face_publisher_.publish(image_array);
}

//#######################
//#### main programm ####
int main(int argc, char** argv)
{
        // Initialize ROS, specify name of node
        ros::init(argc, argv, "face_normalizer");

        // Create a handle for this node, initialize node
        ros::NodeHandle nh;

        // Create FaceNormalizerNode class instance
        FaceNormalizerNode face_recognizer_node(nh);

        // Create action nodes
        //DetectObjectsAction detect_action_node(object_detection_node, nh);
        //AcquireObjectImageAction acquire_image_node(object_detection_node, nh);
        //TrainObjectAction train_object_node(object_detection_node, nh);

        ros::spin();

        return 0;
}