libuca plugin for the Vision Research Phantom high-speed cameras.
Since this is still a private repository, the public documentation for this project is hosted on a separate Github Repository. To view the Documentation source code jump to uca-phantom-doc. Or visit the indepth documentation directly at uca-phantom Documentation!
The acquisition mode determines if the sensor operates in binning, standard and
HS mode. This has a few implications on the operation: first we cannot determine
in which mode the camera is currently operation, therefore you cannot rely on
the value of the acquisition-mode
property. Second, binning changes the
reported maximum sensor resolution, therefore you must update the
region-of-interest when changing the binning. Otherwise, you will read too much
or crash by reading outside the window. You will be on the safe side, if you
just set the acquisition mode and restart any libuca application. Third,
changing modes takes about 15 seconds which might make the application appear to
be frozen.
Due to the way the protocol works, make sure to set the 10Gb network interface
via the network-interface
property and set enable-10ge
to true. Note that
those values are ephemeral and will be gone once you create a new camera object.
Furthermore, you must make sure that your application is able to open raw
sockets. Either run it as root (not recommended) or set the cap_net_raw
capability on the binary:
$ setcap cap_net_raw+ep <executable>
Go to the utils
directory and start the UDP discovery and TCP communication
servers by running the mock
script. The phantom
plugin should be able to
communicate with this replacement.
Here are some information in which this plugin differes from other camera
plugins. The biggest difference is in how data transfers are handled. Unlike
other cameras, this happens through a secondary channel for which we open a
socket on which we listen to connection requests and incoming data. Because we
still need to react on API calls this is handled in a separate thread that runs
accept_img_data
. This thread and the API communicate through two asynchronous
message and return queues. The thread picks up a message and once done places a
result object on the return queue. Messages and results carry type information,
meta and real data.