removed unused code blocks

scripts/marker_generation.py

@@ -46,12 +46,7 @@ def pcl_callback(pcl_msg):
         label = encoder.inverse_transform(prediction)[0]
         detected_objects_labels.append(label)
 
-        #rospy.loginfo(pcl_cloud.data[0])
-
         # Publish a label into RViz
-        #label_pos = list([pcl_cloud.position[0],pcl_cloud.position[1],pcl_cloud.position[2]])
-        #label_pos = list([index,index,index])
-        #label_pos = list(white_cloud[pts_list[0]])
         pcl_pointCloud = ros_to_pcl(pcl_cloud)
         label_pos = list(pcl_pointCloud[0])
         label_pos[2] += .4
@@ -64,7 +59,6 @@ def pcl_callback(pcl_msg):
         detected_objects.append(do)
 
     rospy.loginfo('Detected {} objects: {}'.format(len(detected_objects_labels), detected_objects_labels))
-    #rospy.loginfo('{}'.format(pcl_pointCloud[0]))
 
     # Publish the list of detected objects
     # This is the output you'll need to complete the upcoming project!

src/segmentation.cpp

@@ -161,9 +161,6 @@ void segmentation::cloud_cb (const sensor_msgs::PointCloud2ConstPtr& cloud_msg)
   for (std::vector<pcl::PointIndices>::const_iterator it = cluster_indices.begin (); it != cluster_indices.end (); ++it)
   {
 
-    // create a new clusterData message object
-    //obj_recognition::ClusterData clusterData;
-
 
     // create a pcl object to hold the extracted cluster
     pcl::PointCloud<pcl::PointXYZRGB> *cluster = new pcl::PointCloud<pcl::PointXYZRGB>;
@@ -178,13 +175,6 @@ void segmentation::cloud_cb (const sensor_msgs::PointCloud2ConstPtr& cloud_msg)
         }
 
 
-    // log the position of the cluster
-    //clusterData.position[0] = (*cloudPtr).data[0];
-    //clusterData.position[1] = (*cloudPtr).points.back().y;
-    //clusterData.position[2] = (*cloudPtr).points.back().z;
-    //std::string info_string = string(cloudPtr->points.back().x);
-    //printf(clusterData.position[0]);
-
     // convert to pcl::PCLPointCloud2
     pcl::toPCLPointCloud2( *clusterPtr ,outputPCL);