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Axis cameras
https://github.com/clearpathrobotics/axis_camera
https://github.com/jack-oquin/camera_info_manager_py/tree/fuerte
NOTE: The camera info manager drivers must be pulled from the fuerte branch at this time
- Plug the axis camera in. If the ethernet port is not POE (power over ethernet), you must provide additional power through the provided cable
- Download avahi to find the camera on the network
sudo apt-get install avahi-discover
- Run avahi
avahi-discover
- Search for an axis camera on the network, and select it
- From the address line at the bottom, copy the address (not the IP) and navigate to the page in a browser. From here you may use the settings to edit user accounts, which will be used later for connection.
admin username: root password: BWI account password
secondary username: fri password: fri account password
- If above username and passwords do not work, reset the camera to create these two accounts.
- To reset, completely power down the camera, and hold the button on the back down while plugging back in. Continue to hold until the front LEDs blink amber, then release.
- On first power up, a root password must be supplied. Enter in the BWI password.
- Once logged in, navigate to settings, then system settings.
- Create a new account, with admin privileges. username: fri: fri password
- Launch roscore
roscore
- set the current terminal to a new namespace (allows for multiple cameras to be active at the same time; each running camera must have a unique namespace name)
export ROS_NAMESPACE=
- Launch the axis_camera node
rosrun axis_camera axis.py _hostname:= _username:= _password:=
NOTE: for multiple cameras, each terminal window must contain a different namespace, and all unique windows corresponding to a camera run both commands.
If a camera needs to be calibrated, run the following commands. These must be run for each individual camera to be calibrated.
- In another terminal, republish the compressed images in raw format:
ROS_NAMESPACE= rosrun image_transport republish compressed in:=image_raw raw out:=image_raw
- in another terminal, run camera calibration
rosrun camera_calibration cameracalibrator.py --size 8x6 --square 0.108 image:=//image_raw camera:=/
rosrun image_view image_view image:=//image_raw _image_transport:=compressed