Allied Vision AVT-Prosilica camera controller with PLICO
Project description
PYSILICO: Prosilica AVT camera controller for Plico
pysilico is an application to control Allied AVT/Prosilica cameras (and possibly other GigE cameras) under the plico environment.
Installation
On client
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). Assuming you have downloaded and unpacked Vimba6 in the Downloads folder on a Linux machine:
cd ~/Downloads/Vimba_6_0/VimbaGigETL/
sudo ./Install.sh
Check that the Vimba installation is successful (you may need to log out and log in) 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 reachable in the network and you should be able to stream images.
cd ~/Downloads/Vimba_6_0/Tools/Viewer/Bin/x86_64bit
./VimbaViewer
Then install the Vimba python wrapper. It is suggested to use a dedicated python virtual environment, like conda (check elsewhere how to install Anaconda and create a virtual environment).
Now you can install the Vimba python wrapper in the
cd ~/Downloads/Vimba_6_0/VimbaPython/
./Install.sh
The script Install.sh
is to date not working with conda virtual envs. If you are using conda and the command above fails, the following should do the work :
cd ~/Downloads/Vimba_6_0/VimbaPython/Source
pip install .
Check that the installation is successfull by running the provided example, like the one below:
cd ~/Downloads/Vimba_6_0/VimbaPython/Examples
python list_cameras.py
The ouput shows that camera(s) has been properly detected.
(pysilico) lbusoni@argos:~/Downloads/Vimba_6_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
Install server
As a last step you always have to install the package pysilico-server
pip install pysilico-server
Usage
Edit config file
The config file location depends on the operating system. In Ubuntu is /home/labot/.config/inaf.arcetri.ao.pysilico_server/pysilico_server.conf
. When the server is started, it prints the config file location on standard output.
Open the file and adapt it to your case.
In this example we want pysilico_server
to control 2 cameras: a Manta 419 whose IP address is 192.168.29.189 used for a SH WFS, and a GC1350 (IP 192.168.29.194) used as PSF monitor. We reduce the streaming rate to 20MB/s in such a way that no packet will be lost during transfer to the server PC.
Every [cameraN]
entry in the config file correspond to a pysilico server; you may add as many as you want. Every [cameraN]
entry must have a camera=
key linking to a [deviceX]
entry that specifies the camera model, IP, etc.
[deviceManta419]
name= AVT Manta G-419B 5CA8
model= avt
ip_address= 192.168.29.189
streambytespersecond= 20000000
binning= 1
[deviceGC1350M]
name= AVT GC 1350M C686
model= avt
ip_address= 192.168.29.194
streambytespersecond= 20000000
binning= 1
[camera1]
name= SH WFS Ibis
log_level= info
camera= deviceManta419
host= localhost
port= 7100
[camera2]
name= PSF Ibis
log_level= info
camera= deviceGC1350M
host= localhost
port= 7110
Starting Servers
Start the servers with
pysilico_start
The servers are logging info in a dedicate log file. The log file name is printed on the standard output when the server is started.
On Ubuntu it can be in /home/labot/.cache/inaf.arcetri.ao.pysilico_server/log/camera1.log
(and camera2.log and so on for the other servers)
Check in the log file that the server is properly running and communicating with the camera; it should periodically dump a line like "Stepping at xx Hz"
Using the client module
We assume that pysilico_server
runs on '192.168.29.132'.
In a python terminal on a client computer on which pysilico
has been installed:
In [1]: import pysilico
In [2]: cam_sh= pysilico.camera('192.168.29.132', 7100)
In [3]: cam_psf= pysilico.camera('192.168.29.132', 7110)
In [4]: frames= cam_sh.getFutureFrames(10)
Using the GUI
Run pysilico_gui
Stopping pysilico
To kill the servers run
pysilico_stop
More hard:
pysilico_kill_all
Administration Tool
For developers.
Testing
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 (you need > 3.7 for Vimba)
conda create --name pysilico python=3.8
It is better to install available packages from conda instead of pip.
conda install --name pysilico matplotlib scipy ipython numpy
Packaging and distributing
- Update the version in version.py and commit
- Create a new release
- If you have the proper rights (see PYPI_API_TOKEN in Settings/Secrets), the Action automatically builds and uploads the wheel on pypi
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file pysilico-0.21.0.tar.gz
.
File metadata
- Download URL: pysilico-0.21.0.tar.gz
- Upload date:
- Size: 30.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.9.19
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | e6f4447f6a97e796f64d3b57cd5f1350bae98b5842bb125b9c51bcb5d2c61b5d |
|
MD5 | 5170c6556410c2db8ba6dd01a10706d0 |
|
BLAKE2b-256 | aff88658b44a14d7fa1ab40d9d8d8c4613d982a87aec1304bdb1d5984f59e880 |
File details
Details for the file pysilico-0.21.0-py3-none-any.whl
.
File metadata
- Download URL: pysilico-0.21.0-py3-none-any.whl
- Upload date:
- Size: 27.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.9.19
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | adf60ba20d052dc6bed764c3be91fdf33f6c0133e85fd6a0e2e293a58b3a179e |
|
MD5 | 86a24248310c67e4afba097bbe93af51 |
|
BLAKE2b-256 | e1215292d629dabb6f1140636d18c6ec819f617b6caf2dccca07034945060b92 |