Difference between revisions of "Talk:Aitana-TFM-kinect-ROS05"

From robotica.unileon.es
Jump to: navigation, search
(→‎Ejecutando Skeleton Tracking)
(→‎Ejecutando Skeleton Tracking)
Line 194: Line 194:
 
<syntaxhighlight>rosrun openni_tracker openni_tracker</syntaxhighlight>
 
<syntaxhighlight>rosrun openni_tracker openni_tracker</syntaxhighlight>
  
−
Una vez que se está ejecutando, nos pondremos enfrente de la kinect en Psi Pose [[File:PsiPose.gif|thumb|left|alt=Posición Psi Pose]], de esta forma nos aparecerán los siguientes mensajes.
+
Una vez que se está ejecutando, nos pondremos enfrente de la kinect en Psi Pose [[File:PsiPose.gif|thumb|left|Posición Psi Pose]], de esta forma nos aparecerán los siguientes mensajes.

Revision as of 19:54, 3 December 2013

OpenNI traker

Intalación

Lo primero que vamos a decir es como configurar el entorno para poder trabajar con la librería skeleton tracking, para ello vamos a trabajar con ROS, la versión fuerte, para instalarlo: 

sudo apt-get install ros-fuerte-desktop-full


Después de eso, para poder trabajar con la kinect, debemos instalar los drivers de openni, recordar que estamos trabajando con la versión fuerte de ros: 

sudo apt-get install ros-fuerte-openni-camera ros-fuerte-openni-launch


La librería skeleton tracking, que es la que vamos a utilizar se encuentra en el paquete NITE, que puedes encontrar en el siguiente enlace: [1], debemos descargarnos la versión 1.5, ya que a partir de la versión 2.0 da problemas de compatibilidad y no conseguiremos hacer funcionar la librería skeleton tracking.

Una vez descargado lo descomprimimos y ejecutamos el fichero install.sh. 

sudo ./install.sh

Debemos obtener lo siguiente: 

Installing NITE
***************

Copying shared libraries... OK
Copying includes... OK
Installing java bindings... OK
Installing module 'Features_1_3_0'...
Registering module 'libXnVFeatures_1_3_0.so'... OK
Installing module 'Features_1_3_1'...
Registering module 'libXnVFeatures_1_3_1.so'... OK
Installing module 'Features_1_4_1'...
Registering module 'libXnVFeatures_1_4_1.so'... OK
Installing module 'Features_1_4_2'...
Registering module 'libXnVFeatures_1_4_2.so'... OK
Installing module 'Features_1_5_2'...
Registering module 'libXnVFeatures_1_5_2.so'... OK
Copying XnVSceneServer... OK
Installing module 'Features_1_5_2'
registering module 'libXnVHandGenerator_1_3_0.so'...OK
Installing module 'Features_1_5_2'
registering module 'libXnVHandGenerator_1_3_1.so'...OK
Installing module 'Features_1_5_2'
registering module 'libXnVHandGenerator_1_4_1.so'...OK
Installing module 'Features_1_5_2'
registering module 'libXnVHandGenerator_1_4_2.so'...OK
Installing module 'Features_1_5_2'
registering module 'libXnVHandGenerator_1_5_2.so'...OK
Adding license.. OK

*** DONE ***

Por último, solo nos falta instalar el paquete en cuestión openni_tracker . 

sudo apt-get install ros-fuerte-openni-tracker


Ejecutando Skeleton Tracking

Debemos abrir 3 terminales diferentes:

  • En el primero, ejecutaremos ROS, para ello escribimos en linea de comandos:
roscore

y nos debe aparecer algo como esto: 

... logging to /home/aitana/.ros/log/f3ff128e-5c2a-11e3-8ee4-0c6076187d47/roslaunch-aitana-laptop-3492.log
Checking log directory for disk usage. This may take awhile.
Press Ctrl-C to interrupt
Done checking log file disk usage. Usage is <1GB.

started roslaunch server http://aitana-laptop:60613/
ros_comm version 1.8.11


SUMMARY
========

PARAMETERS
 * /rosdistro
 * /rosversion

NODES

auto-starting new master
process[master]: started with pid [3508]
ROS_MASTER_URI=http://aitana-laptop:11311/

setting /run_id to f3ff128e-5c2a-11e3-8ee4-0c6076187d47
process[rosout-1]: started with pid [3521]
started core service [/rosout]

Lo dejamos corriendo en segundo plano.

  • En el segundo terminal, debemos lanzar los drivers openni para la kinect
roslaunch openni_launch openni.launch

Y una vez más, nos debe aparecer algo como lo que se muestra a continuación: 

... logging to /home/aitana/.ros/log/f3ff128e-5c2a-11e3-8ee4-0c6076187d47/roslaunch-aitana-laptop-3614.log
Checking log directory for disk usage. This may take awhile.
Press Ctrl-C to interrupt
Done checking log file disk usage. Usage is <1GB.

started roslaunch server http://aitana-laptop:58367/

SUMMARY
========

PARAMETERS
 * /camera/depth/rectify_depth/interpolation
 * /camera/depth_registered/rectify_depth/interpolation
 * /camera/disparity_depth/max_range
 * /camera/disparity_depth/min_range
 * /camera/disparity_depth_registered/max_range
 * /camera/disparity_depth_registered/min_range
 * /camera/driver/depth_camera_info_url
 * /camera/driver/depth_frame_id
 * /camera/driver/depth_registration
 * /camera/driver/device_id
 * /camera/driver/rgb_camera_info_url
 * /camera/driver/rgb_frame_id
 * /rosdistro
 * /rosversion

NODES
  /camera/depth/
    metric (nodelet/nodelet)
    metric_rect (nodelet/nodelet)
    points (nodelet/nodelet)
    rectify_depth (nodelet/nodelet)
  /camera/rgb/
    debayer (nodelet/nodelet)
    rectify_color (nodelet/nodelet)
    rectify_mono (nodelet/nodelet)
  /
    camera_base_link (tf/static_transform_publisher)
    camera_base_link1 (tf/static_transform_publisher)
    camera_base_link2 (tf/static_transform_publisher)
    camera_base_link3 (tf/static_transform_publisher)
    camera_nodelet_manager (nodelet/nodelet)
  /camera/
    disparity_depth (nodelet/nodelet)
    disparity_depth_registered (nodelet/nodelet)
    driver (nodelet/nodelet)
    points_xyzrgb_depth_rgb (nodelet/nodelet)
    register_depth_rgb (nodelet/nodelet)
  /camera/ir/
    rectify_ir (nodelet/nodelet)
  /camera/depth_registered/
    metric (nodelet/nodelet)
    metric_rect (nodelet/nodelet)
    rectify_depth (nodelet/nodelet)

ROS_MASTER_URI=http://localhost:11311

core service [/rosout] found
process[camera_nodelet_manager-1]: started with pid [3634]
process[camera/driver-2]: started with pid [3635]
process[camera/rgb/debayer-3]: started with pid [3636]
process[camera/rgb/rectify_mono-4]: started with pid [3637]
process[camera/rgb/rectify_color-5]: started with pid [3677]
process[camera/ir/rectify_ir-6]: started with pid [3700]
process[camera/depth/rectify_depth-7]: started with pid [3726]
process[camera/depth/metric_rect-8]: started with pid [3754]
process[camera/depth/metric-9]: started with pid [3793]
process[camera/depth/points-10]: started with pid [3830]
process[camera/register_depth_rgb-11]: started with pid [3868]
process[camera/depth_registered/rectify_depth-12]: started with pid [3913]
process[camera/depth_registered/metric_rect-13]: started with pid [3953]
process[camera/depth_registered/metric-14]: started with pid [4002]
process[camera/points_xyzrgb_depth_rgb-15]: started with pid [4055]
process[camera/disparity_depth-16]: started with pid [4106]
process[camera/disparity_depth_registered-17]: started with pid [4151]
process[camera_base_link-18]: started with pid [4281]
process[camera_base_link1-19]: started with pid [4344]
process[camera_base_link2-20]: started with pid [4396]
process[camera_base_link3-21]: started with pid [4434]
[ INFO] [1386082671.833888617]: Initializing nodelet with 2 worker threads.
[ERROR] [1386082676.174882681]: Tried to advertise a service that is already advertised in this node [/camera/depth_registered/image_rect_raw/compressedDepth/set_parameters]
[ERROR] [1386082676.193015430]: Tried to advertise a service that is already advertised in this node [/camera/depth_registered/image_rect_raw/compressed/set_parameters]
[ERROR] [1386082676.216452698]: Tried to advertise a service that is already advertised in this node [/camera/depth_registered/image_rect_raw/theora/set_parameters]
[ INFO] [1386082676.733259757]: No devices connected.... waiting for devices to be connected
[ INFO] [1386082679.743069110]: No devices connected.... waiting for devices to be connected
[ INFO] [1386082682.752573950]: No devices connected.... waiting for devices to be connected
[ INFO] [1386082685.762060351]: No devices connected.... waiting for devices to be connected

Y que no cunda en pánico, que el error es normal.

  • Por último, abrimos un nuevo terminal y en este ejecutamos por fin:
rosrun openni_tracker openni_tracker
Una vez que se está ejecutando, nos pondremos enfrente de la kinect en Psi Pose
Posición Psi Pose
, de esta forma nos aparecerán los siguientes mensajes.
Retrieved from "https://robotica.unileon.es/index.php?title=Talk:Aitana-TFM-kinect-ROS05&oldid=2435"