Allied Vision AVT-Prosilica camera controller with PLICO
PYSILICO: Prosilica AVT camera controller for Plico
On the client machine
pip install pysilico
On the server
On the server machine install the proprietary driver for the camera you want to control. Currently only AVT/Prosilica camera are supported through Vimba
For AVT / Prosilica
First install Vimba (that comes with the camera, or download Vimba SDK from AVT website). Check that the Vimba installation is successful and that the camera is accessible by the server using VimbaViewer, the standalone application provided in Vimba SDK. You should be able to see the cameras in the network and stream images.
Then install the Vimba python wrapper. Check that the installation is successfull by running the provided example, like the one below:
(pysilico) lbusoni@argos:~/Downloads/Vimba_5_0/VimbaPython/Examples$ python list_cameras.py ////////////////////////////////////// /// Vimba API List Cameras Example /// ////////////////////////////////////// Cameras found: 1 /// Camera Name : GC1350M /// Model Name : GC1350M (02-2130A) /// Camera ID : DEV_000F3101C686 /// Serial Number : 02-2130A-06774 /// Interface ID : eno2 (pysilico) lbusoni@argos:~/Downloads/Vimba_5_0/VimbaPython/Examples$
As a last step you always have to install the generic pysilico-server
pip install pysilico-server
The pysilico-server package installs also the client package.
Starts the 2 servers that control one device each.
Using the GUI
Using the client module
In a python terminal on the client computer:
In : import pysilico In : cam1= pysilico.camera('192.168.1.18', 7100) In : cam2= pysilico.camera('192.168.1.18', 7110) In : frames= cam1.getFutureFrames(10)
To kill the servers run
Never commit before tests are OK! To run the unittest and integration test suite cd in pysilico source dir
python setup.py test
Creating a Conda environment
Use the Anaconda GUI or in terminal
conda create --name pysilico
To create an environment with a specific python version
conda create --name pysilico python=2.6
It is better to install available packages from conda instead of pip.
conda install --name pysilico matplotlib scipy ipython numpy
Packaging and distributing
To make a source distribution
python setup.py sdist
and the tar.gz is created in ../dist
You can make a universal wheel
python setup.py bdist_wheel
The wheels are created in ../dist. I suppose one can delete pysilico/build now and distribute the files in ../dist
To upload on pip (but do you really want to make it public?)
twine upload ../dist/*
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