ISRWiki - User contributions [en]

Multiple View Tracking

2012-03-07T11:21:57Z

Dario:

'''CAVIAR''' http://homepages.inf.ed.ac.uk/rbf/CAVIAR/
* 2 viewpoints (90º difference), 2 cameras
* Annotated - Bounding box and label

'''VIPeR''' http://vision.soe.ucsc.edu/node/178
* 2 viewpoints
* "Annoteted" - already cropped ped images
* 632 people, 2 images each

'''LRS''' http://lrs.icg.tugraz.at/download.php
* 2 viewpoints
* "Annotated" - already cropped 128x64 images
* 200 people, ~200 images/person/camera (min 5)
* +900 1-view people (for gallery)

'''3DPeS''' http://www.openvisor.org/3dpes.asp http://imagelab.ing.unimore.it/3DPeS/snapshots.rar
* 8 viewpoints
* "Annotated" - already cropped 606 pedestrian images
* 200 people, 606 images total (min 2 images/person)

--

'''ETHZ''' http://www.vision.ee.ethz.ch/~aess/dataset/
* ~1 viewpoint (1 moving camera)
* Annotated - (we already cropped out the pedestrians)
* 146 people, ~8500 images

'''MuHAVi''': Multicamera Human Action Video Data http://dipersec.king.ac.uk/MuHAVi-MAS/
* Images - 8 viewpoints, 8 cameras, 17 actions/video-sequences
* Annotated (silhouettes) - 2 cameras, 2 actors, 2 actions/video-sequences

'''ViHASi''': Virtual Human Action Silhouette Data http://dipersec.king.ac.uk/VIHASI/ username: VIHASI passw: virtual$world
* 20 viewpoints, 9 virtual actors
* NOT annotated (but straight foward with MotionBuilder, it's virtual!)

'''BEHAVE''' Interactions Test Case Scenarios http://groups.inf.ed.ac.uk/vision/BEHAVEDATA/INTERACTIONS/
* 2 viewpoints (90º difference), 2 cameras
* Annotated - Bounding box and label (VIPER style)
* ~ 7 people (min 3, max 8 across sequences)

PETS2009 Dataset S2: People Tracking, Sparse Crowd http://www.cvg.rdg.ac.uk/PETS2010/a.html#s2
* 4 viewpoints, 8 cameras
* Sparse Crowd
* Can't find annotation (but manual annotation was made for evaluation)

ETISEO http://www-sop.inria.fr/orion/ETISEO/download.htm#video_data
* unknown - asked permission for access - '''Got permission, if anyone wants, ask me - Dario'''
* supposedly fully annotated´

UMPM Benchmark http://www.projects.science.uu.nl/umpm/ username: umpmuser password: ahJaka4o
* unknown - asked permissions for access
* fully anotated - markers of body pose/position

[[Category:Vislab]]

Multiple View Tracking

2012-03-01T16:55:00Z

Dario: added LRS

'''MuHAVi''': Multicamera Human Action Video Data http://dipersec.king.ac.uk/MuHAVi-MAS/
* Images - 8 viewpoints, 8 cameras, 17 actions/video-sequences
* Annotated (silhouettes) - 2 cameras, 2 actors, 2 actions/video-sequences

'''ViHASi''': Virtual Human Action Silhouette Data http://dipersec.king.ac.uk/VIHASI/ username: VIHASI passw: virtual$world
* 20 viewpoints, 9 virtual actors
* NOT annotated (but straight foward with MotionBuilder, it's virtual!)

'''BEHAVE''' Interactions Test Case Scenarios http://groups.inf.ed.ac.uk/vision/BEHAVEDATA/INTERACTIONS/
* 2 viewpoints (90º difference), 2 cameras
* Annotated - Bounding box and label (VIPER style)
* ~ 7 people (min 3, max 8 across sequences)

'''CAVIAR''' http://homepages.inf.ed.ac.uk/rbf/CAVIAR/
* 2 viewpoints (90º difference), 2 cameras
* Annotated - Bounding box and label

'''LRS''' http://lrs.icg.tugraz.at/download.php
* 2 viewpoints
* "Annotated" - already cropped 128x64 images
* 200 people, ~200 images/person/camera (min 5)
* +900 1-view people (for gallery)

PETS2009 Dataset S2: People Tracking, Sparse Crowd http://www.cvg.rdg.ac.uk/PETS2010/a.html#s2
* 4 viewpoints, 8 cameras
* Sparse Crowd
* Can't find annotation (but manual annotation was made for evaluation)

ETISEO http://www-sop.inria.fr/orion/ETISEO/download.htm#video_data
* unknown - asked permission for access
* supposedly fully annotated´

UMPM Benchmark http://www.projects.science.uu.nl/umpm/ username: umpmuser password: ahJaka4o
* unknown - asked permissions for access
* fully anotated - markers of body pose/position

[[Category:Vislab]]

Multiple View Tracking

2011-12-20T14:00:38Z

Dario:

PETS2009 Dataset S2: People Tracking, Sparse Crowd http://www.cvg.rdg.ac.uk/PETS2010/a.html#s2
* 4 viewpoints, 8 cameras
* Sparse Crowd
* Can't find annotation (but manual annotation was made for evaluation)

'''MuHAVi''': Multicamera Human Action Video Data http://dipersec.king.ac.uk/MuHAVi-MAS/
* Images - 8 viewpoints, 8 cameras, 17 actions/video-sequences
* Annotated (silhouettes) - 2 cameras, 2 actors, 2 actions/video-sequences

'''ViHASi''': Virtual Human Action Silhouette Data http://dipersec.king.ac.uk/VIHASI/ username: VIHASI passw: virtual$world
* 20 viewpoints, 9 virtual actors
* NOT annotated (but straight foward with MotionBuilder, it's virtual!)

'''BEHAVE''' Interactions Test Case Scenarios http://groups.inf.ed.ac.uk/vision/BEHAVEDATA/INTERACTIONS/
* 2 viewpoints (90º difference), 2 cameras
* Annotated - Bounding box and label (VIPER style)
* ~ 7 people (min 3, max 8 across sequences)

'''CAVIAR''' http://homepages.inf.ed.ac.uk/rbf/CAVIAR/
* 2 viewpoints (90º difference), 2 cameras
* Annotated - Bounding box and label

ETISEO http://www-sop.inria.fr/orion/ETISEO/download.htm#video_data
* unknown - asked permission for access
* supposedly fully annotated´

UMPM Benchmark http://www.projects.science.uu.nl/umpm/ username: umpmuser password: ahJaka4o
* unknown - asked permissions for access
* fully anotated - markers of body pose/position

[[Category:Vislab]]

Multiple View Tracking

2011-12-19T17:08:42Z

Dario:

PETS2009 Dataset S2: People Tracking, Sparse Crowd http://www.cvg.rdg.ac.uk/PETS2010/a.html#s2
* 4 viewpoints, 8 cameras
* Sparse Crowd
* Can't find annotation (but manual annotation was made for evaluation)

'''MuHAVi''': Multicamera Human Action Video Data http://dipersec.king.ac.uk/MuHAVi-MAS/
* Images - 8 viewpoints, 8 cameras, 17 actions/video-sequences
* Annotated (silhouettes) - 2 cameras, 2 actors, 2 actions/video-sequences

'''ViHASi''': Virtual Human Action Silhouette Data http://dipersec.king.ac.uk/VIHASI/
* 20 viewpoints, 9 virtual actors
* NOT annotated (but straight foward with MotionBuilder, it's virtual!)

'''BEHAVE''' Interactions Test Case Scenarios http://groups.inf.ed.ac.uk/vision/BEHAVEDATA/INTERACTIONS/
* 2 viewpoints (90º difference), 2 cameras
* Annotated - Bounding box and label (VIPER style)
* ~ 7 people (min 3, max 8 across sequences)

'''CAVIAR''' http://homepages.inf.ed.ac.uk/rbf/CAVIAR/
* 2 viewpoints (90º difference), 2 cameras
* Annotated - Bounding box and label

ETISEO http://www-sop.inria.fr/orion/ETISEO/download.htm#video_data
* unknown - asked permission for access
* supposedly fully annotated´

UMPM Benchmark http://www.projects.science.uu.nl/umpm/ username: umpmuser password: ahJaka4o
* unknown - asked permissions for access
* fully anotated - markers of body pose/position

[[Category:Vislab]]

Multiple View Tracking

2011-12-19T14:42:42Z

Dario:

PETS2009 Dataset S2: People Tracking, Sparse Crowd http://www.cvg.rdg.ac.uk/PETS2010/a.html#s2
* 4 viewpoints, 8 cameras
* Sparse Crowd
* Can't find annotation (but manual annotation was made for evaluation)

'''MuHAVi''': Multicamera Human Action Video Data http://dipersec.king.ac.uk/MuHAVi-MAS/
* Images - 8 viewpoints, 8 cameras, 17 actions/video-sequences
* Annotated (silhouettes) - 2 cameras, 2 actors, 2 actions/video-sequences

'''ViHASi''': Virtual Human Action Silhouette Data http://dipersec.king.ac.uk/VIHASI/
* 20 viewpoints, 9 virtual actors
* NOT annotated (but straight foward with MotionBuilder, it's virtual!)

'''BEHAVE''' Interactions Test Case Scenarios http://groups.inf.ed.ac.uk/vision/BEHAVEDATA/INTERACTIONS/
* 2 viewpoints (90º difference), 2 cameras
* Annotated - Bounding box and label (VIPER style)
* ~ 7 people (min 3, max 8 across sequences)

'''CAVIAR''' http://homepages.inf.ed.ac.uk/rbf/CAVIAR/
* 2 viewpoints (90º difference), 2 cameras
* Annotated - Bounding box and label

ETISEO http://www-sop.inria.fr/orion/ETISEO/download.htm#video_data username: umpmuser password: ahJaka4o
* unknown - asked permission for access
* supposedly fully annotated´

UMPM Benchmark http://www.projects.science.uu.nl/umpm/
* unknown - asked permissions for access
* fully anotated - markers of body pose/position

[[Category:Vislab]]

Multiple View Tracking

2011-12-19T14:19:58Z

Dario:

PETS2009 Dataset S2: People Tracking, Sparse Crowd http://www.cvg.rdg.ac.uk/PETS2010/a.html#s2
* 4 viewpoints, 8 cameras
* Sparse Crowd
* Can't find annotation (but manual annotation was made for evaluation)

'''MuHAVi''': Multicamera Human Action Video Data http://dipersec.king.ac.uk/MuHAVi-MAS/
* Images - 8 viewpoints, 8 cameras, 17 actions/video-sequences
* Annotated (silhouettes) - 2 cameras, 2 actors, 2 actions/video-sequences

'''ViHASi''': Virtual Human Action Silhouette Data http://dipersec.king.ac.uk/VIHASI/
* 20 viewpoints, 9 virtual actors
* NOT annotated (but straight foward with MotionBuilder, it's virtual!)

'''BEHAVE''' Interactions Test Case Scenarios http://groups.inf.ed.ac.uk/vision/BEHAVEDATA/INTERACTIONS/
* 2 viewpoints (90º difference), 2 cameras
* Annotated - Bounding box and label (VIPER style)
* ~ 7 people (min 3, max 8 across sequences)

'''CAVIAR''' http://homepages.inf.ed.ac.uk/rbf/CAVIAR/
* 2 viewpoints (90º difference), 2 cameras
* Annotated - Bounding box and label

ETISEO http://www-sop.inria.fr/orion/ETISEO/download.htm#video_data
* unknown - asked permission for access
* supposedly fully annotated´

UMPM Benchmark http://www.projects.science.uu.nl/umpm/
* unknown - asked permissions for access
* fully anotated - markers of body pose/position

[[Category:Vislab]]

Chico2 desktop machine configuration

2009-04-24T09:30:04Z

Dario:

Ubuntu 8.04

{| border="1"
|+ Hard disk partitioning
! size !! mountpoint !! filesystem
|-
|498GB || / || ext3
|-
|2GB || || swap
|-
|}

machine name: chico2
user name: vislab

operations performed after the standard installation
* system update
* enabled nvidia drivers
* removed the package network-manager-gnome.
* manually configured the internet connection (/etc/network/interfaces):
auto lo
iface lo inet loopback

auto eth1
iface eth1 inet static
address 10.10.1.52
netmask 255.255.255.0
network 10.10.1.0
broadcast 10.10.1.255
gateway 10.10.1.254

* install some required packages:
sudo apt-get install libncurses5-dev libace-dev cmake libgsl0-dev libgtk2.0-dev libgtkmm-2.4-dev libglademm-2.4-dev cvs g++ subversion

* install YARP
mkdir ~/YARP
cd ~/YARP
cvs -d:pserver:anonymous@yarp0.cvs.sourceforge.net:/cvsroot/yarp0 login
cvs -z3 -d:pserver:anonymous@yarp0.cvs.sourceforge.net:/cvsroot/yarp0 co -P yarp2
cd yarp2
cmake . (or ccmake .)
make
make test
add these lines to /etc/bash.bashrc:
PATH=$PATH:/home/vislab/YARP/yarp2/bin/
YARP_DIR=/home/vislab/YARP/yarp2/

* install OpenCV
mkdir ~opencv
cd ~opencv
svn co https://opencvlibrary.svn.sourceforge.net/svnroot/opencvlibrary/tags/latest_tested_snapshot
ccmake .
make '''''--- ERRORE!!!'''''

* Checkout iCub repository
in /usr/local/src :
sudo cvs -d vislab@cvs.robotcub.org:/cvsroot/robotcub co iCub
in .bashrc add :
export ICUB_DIR=/usr/local/src/iCub

Chico2 desktop machine configuration

2009-04-24T09:29:19Z

Dario:

Ubuntu 8.04

{| border="1"
|+ Hard disk partitioning
! size !! mountpoint !! filesystem
|-
|498GB || / || ext3
|-
|2GB || || swap
|-
|}

machine name: chico2
user name: vislab

operations performed after the standard installation
* system update
* enabled nvidia drivers
* removed the package network-manager-gnome.
* manually configured the internet connection (/etc/network/interfaces):
auto lo
iface lo inet loopback

auto eth1
iface eth1 inet static
address 10.10.1.52
netmask 255.255.255.0
network 10.10.1.0
broadcast 10.10.1.255
gateway 10.10.1.254

* install some required packages:
sudo apt-get install libncurses5-dev libace-dev cmake libgsl0-dev libgtk2.0-dev libgtkmm-2.4-dev libglademm-2.4-dev cvs g++ subversion

* install YARP
mkdir ~/YARP
cd ~/YARP
cvs -d:pserver:anonymous@yarp0.cvs.sourceforge.net:/cvsroot/yarp0 login
cvs -z3 -d:pserver:anonymous@yarp0.cvs.sourceforge.net:/cvsroot/yarp0 co -P yarp2
cd yarp2
cmake . (or ccmake .)
make
make test
add these lines to /etc/bash.bashrc:
PATH=$PATH:/home/vislab/YARP/yarp2/bin/
YARP_DIR=/home/vislab/YARP/yarp2/

* install OpenCV
mkdir ~opencv
cd ~opencv
svn co https://opencvlibrary.svn.sourceforge.net/svnroot/opencvlibrary/tags/latest_tested_snapshot
ccmake .
make --- ERRORE!!!

* Checkout iCub repository
in /usr/local/src :
sudo cvs -d vislab@cvs.robotcub.org:/cvsroot/robotcub co iCub
in .bashrc add :
export ICUB_DIR=/usr/local/src/iCub

Chico

2009-04-16T15:12:58Z

Dario: /* Running a demo */

= Chico Instructions =

== Preliminaries ==

ICub has a PC104 with a flash disk configured to 10.10.1.50
It mounts the repositories that are on the laptop 10.10.1.51 (icub icub)
There is a support machine called chico2 (10.10.1.51) for running the yarp server, launching scripts and visualization.

The laptop has 2 repositories
/export/code_64 for the laptop (compiled for 32bit)
/export/code_pc104 for the robot (compiled for 64bit)
They are anonymous, so changes are not commitable (DO NOT CHANGE)

Everything running with /icub namespace

== Running a demo ==

1 - Turn on chico2

set the namespace to /icub
"yarp namespace /icub"

run the yarp server
"yarp server"

run the yarp run server
"yarp run --server /chico2"

2 - Turn on the laptop

'''not needed'''
set the namespace to /icub
"yarp namespace /icub"

'''not needed'''
make sure the name server is visible
"yarp where" should detect the name server (10.10.1.???)

'''not needed'''
run the yarp run server
"yarp run --server /icubsrv"

2- Turn on the robot (it will mount the repository that is stored on the laptop)

switch on the power supply units (grey boxes under the table)

switch on the cpu and motors of the iCub (green switches behind the iCub)

log in to pc104
ssh icub@10.10.1.50

set the namespace to /icub
"yarp namespace /icub"

make sure the name server is visible
"yarp where" should detect the name server (10.10.1.???)

run the yarp run server
"yarp run --server /pc104"

3- (Skip this for now) Start yarp run

cd /iCub/app/default/scripts/
./icub-cluster.sh run
./icub-cluster.sh check
there must be 3 ok messages

if some problem
./icub-cluster.sh check
./icub-cluster.sh stop
killall yarp

killall yarp on pc104

./icub-cluster.sh run

4- turn on cameras

On chico2 do:

cd $ICUB_DIR/app/default/scripts
./cameras start

sometimes connections must be established manually
"yarp connect /icub/cam/right /icub/view/right"
"yarp connect /icub/cam/left /icub/view/left"

To turn off the cameras do:
./cameras stop

To change the size of the images edit file:
$ICUB_DIR/app/default/scripts/config.sh

5- Run iCubInterface (hardware except cameras)

UNLOCK THE RED BUTTON SWITCH
open a pc104 console
iCubInterface --config $ICUB_ROOT/app/iCubLisboa01/conf/icubSafe.ini
wait for all boards to answer ( < 1 min )
control^C to cancel

6- Run YOGA demo

iCubDemoY3 --config /app/demoy3/fullBody.txt

7- Start facial expressions driver

Open a pc104 console:
cd $ICUB_DIR/app/faceExpressions/scripts
./emotions.sh $ICUB_DIR/app/iCubLisboa01/conf

8 - Start facial expresions demo

In any machine:
$ICUB_DIR/app/faceExpressions/scripts/cycle.sh

or

yarp rpc /icub/face/emotions/in
set all hap // full face happy
set all sad // full face sad
set all ang // full face angry
set all neu // full face neutral
set mou sur // mouth surprised
set eli evi // eyelids evil
set leb shy // left eyebrow shy
set reb cun // right eyebrow cunning
set all ta1 // mouth talking position 1 (mouth closed)
set all ta2 // mouth talking position 2 (mouth open)

9 - Run the ball following demo

[[ballFollowingDemo]]

10 - Run the SIFT Object detection and tracking demo

In any machine:
$ICUB_DIR/app/iCubLisboa01/scripts/controlGazeManual.sh
$ICUB_DIR/app/iCubLisboa01/scripts/attentionObjects/noEgoSetup/CalibBothStart.sh

In any other machine (requires lots of processing power):
$ICUB_DIR/app/iCubLisboa01/scripts/attentionObjects/noEgoSetup/startSiftObjectRepresentation.sh

To change configuration:
$ICUB_DIR/app/iCubLisboa01/conf/icubEyes.ini

[[Category:Robots]][[Category:Vislab]]

Chico

2009-04-15T17:42:31Z

Dario: /* Running a demo */

= Chico Instructions =

== Preliminaries ==

ICub has a PC104 with a flash disk configured to 10.10.1.50
It mounts the repositories that are on the laptop 10.10.1.51 (icub icub)
There is a support machine called chico2 (10.10.1.51) for running the yarp server, launching scripts and visualization.

The laptop has 2 repositories
/export/code_64 for the laptop (compiled for 32bit)
/export/code_pc104 for the robot (compiled for 64bit)
They are anonymous, so changes are not commitable (DO NOT CHANGE)

Everything running with /icub namespace

== Running a demo ==

1 - Turn on chico2

set the namespace to /icub
"yarp namespace /icub"

run the yarp server
"yarp server"

run the yarp run server
"yarp run --server /chico2"

2 - Turn on the laptop

'''not needed'''
set the namespace to /icub
"yarp namespace /icub"

'''not needed'''
make sure the name server is visible
"yarp where" should detect the name server (10.10.1.???)

'''not needed'''
run the yarp run server
"yarp run --server /icubsrv"

2- Turn on the robot (it will mount the repository that is stored on the laptop)

switch on the power supply units (grey boxes under the table)

switch on the cpu and motors of the iCub (green switches behind the iCub)

log in to pc104
ssh icub@10.10.1.50

set the namespace to /icub
"yarp namespace /icub"

make sure the name server is visible
"yarp where" should detect the name server (10.10.1.???)

run the yarp run server
"yarp run --server /pc104"

3- (Skip this for now) Start yarp run

cd /iCub/app/default/scripts/
./icub-cluster.sh run
./icub-cluster.sh check
there must be 3 ok messages

if some problem
./icub-cluster.sh check
./icub-cluster.sh stop
killall yarp

killall yarp on pc104

./icub-cluster.sh run

4- turn on cameras

On chico2 do:

cd $ICUB_DIR/app/default/scripts
./cameras start

sometimes connections must be established manually
"yarp connect /icub/cam/right /icub/view/right"
"yarp connect /icub/cam/left /icub/view/left"

To turn off the cameras do:
./cameras stop

To change the size of the images edit file:
$ICUB_DIR/app/default/scripts/config.sh

5- Run iCubInterface (hardware except cameras)

UNLOCK THE RED BUTTON SWITCH
open a pc104 console
iCubInterface --config $ICUB_ROOT/app/iCubLisboa01/conf/icubSafe.ini
wait for all boards to answer ( < 1 min )
control^C to cancel

6- Run YOGA demo

iCubDemoY3 --config /app/demoy3/fullBody.txt

7- Start facial expressions driver

Open a pc104 console:
cd $ICUB_DIR/app/faceExpressions/scripts
./emotions.sh $ICUB_DIR/app/iCubLisboa01/conf

8 - Start facial expresions demo

In any machine:
$ICUB_DIR/app/faceExpressions/scripts/cycle.sh

or

yarp rpc /icub/face/emotions/in
set all hap // full face happy
set all sad // full face sad
set all ang // full face angry
set all neu // full face neutral
set mou sur // mouth surprised
set eli evi // eyelids evil
set leb shy // left eyebrow shy
set reb cun // right eyebrow cunning
set all ta1 // mouth talking position 1 (mouth closed)
set all ta2 // mouth talking position 2 (mouth open)

9 - Run the ball following demo

[[ballFollowingDemo]]

10 - Run the SIFT Object detection and tracking demo

NOT ACTUAL, NEEDS CORRECTION

In a fast machine:
$ICUB_DIR/app/attentionDistributed/scripts/controlGazeManual.sh

In any machine:
$ICUB_DIR/app/attention_objects/audio_visual_setup/CalibBothStart.sh
$ICUB_DIR/app/attention_objects/audio_visual_setup/startSiftObjectRepresentation.sh

To change configuration:
$ICUB_DIR/app/attention_objects/conf/icubEyes.ini

[[Category:Robots]][[Category:Vislab]]

Chico

2009-04-15T15:53:58Z

Dario: /* Running a demo */

= Chico Instructions =

== Preliminaries ==

ICub has a PC104 with a flash disk configured to 10.10.1.50
It mounts the repositories that are on the laptop 10.10.1.51 (icub icub)
There is a support machine called chico2 (10.10.1.51) for running the yarp server, launching scripts and visualization.

The laptop has 2 repositories
/export/code_64 for the laptop (compiled for 32bit)
/export/code_pc104 for the robot (compiled for 64bit)
They are anonymous, so changes are not commitable (DO NOT CHANGE)

Everything running with /icub namespace

== Running a demo ==

1 - Turn on chico2

set the namespace to /icub
"yarp namespace /icub"

run the yarp server
"yarp server"

run the yarp run server
"yarp run --server /chico2"

2 - Turn on the laptop

'''not needed'''
set the namespace to /icub
"yarp namespace /icub"

'''not needed'''
make sure the name server is visible
"yarp where" should detect the name server (10.10.1.???)

'''not needed'''
run the yarp run server
"yarp run --server /icubsrv"

2- Turn on the robot (it will mount the repository that is stored on the laptop)

switch on the power supply units (grey boxes under the table)

switch on the cpu and motors of the iCub (green switches behind the iCub)

log in to pc104
ssh icub@10.10.1.50

set the namespace to /icub
"yarp namespace /icub"

make sure the name server is visible
"yarp where" should detect the name server (10.10.1.???)

run the yarp run server
"yarp run --server /pc104"

3- (Skip this for now) Start yarp run

cd /iCub/app/default/scripts/
./icub-cluster.sh run
./icub-cluster.sh check
there must be 3 ok messages

if some problem
./icub-cluster.sh check
./icub-cluster.sh stop
killall yarp

killall yarp on pc104

./icub-cluster.sh run

4- turn on cameras

On chico2 do:

cd $ICUB_DIR/app/default/scripts
./cameras start

sometimes connections must be established manually
"yarp connect /icub/cam/right /icub/view/right"
"yarp connect /icub/cam/left /icub/view/left"

To turn off the cameras do:
./cameras stop

To change the size of the images edit file:
$ICUB_DIR/app/default/scripts/config.sh

5- Run iCubInterface (hardware except cameras)

UNLOCK THE RED BUTTON SWITCH
open a pc104 console
iCubInterface --config $ICUB_ROOT/app/iCubLisboa01/conf/icubSafe.ini
wait for all boards to answer ( < 1 min )
control^C to cancel

6- Run YOGA demo

iCubDemoY3 --config /app/demoy3/fullBody.txt

7- Start facial expressions driver

Open a pc104 console:
cd $ICUB_DIR/app/faceExpressions/scripts
./emotions.sh $ICUB_DIR/app/iCubLisboa01/conf

8 - Start facial expresions demo

In any machine:
$ICUB_DIR/app/faceExpressions/scripts/cycle.sh

or

yarp rpc /icub/face/emotions/in
set all hap // full face happy
set all sad // full face sad
set all ang // full face angry
set all neu // full face neutral
set mou sur // mouth surprised
set eli evi // eyelids evil
set leb shy // left eyebrow shy
set reb cun // right eyebrow cunning
set all ta1 // mouth talking position 1 (mouth closed)
set all ta2 // mouth talking position 2 (mouth open)

9 - Run the ball following demo

[[ballFollowingDemo]]

10 - Run the SIFT Object detection and tracking demo

In a fast machine:
$ICUB_DIR/app/attentionDistributed/scripts/controlGazeManual.sh

In any machine:
$ICUB_DIR/app/attention_objects/audio_visual_setup/CalibBothStart.sh
$ICUB_DIR/app/attention_objects/audio_visual_setup/startSiftObjectRepresentation.sh

To change configuration:
$ICUB_DIR/app/attention_objects/conf/icubEyes.ini

[[Category:Robots]][[Category:Vislab]]