Industrial Cameras for digital imaging and visualization (USB,GigE).
home site: http://www.ids-imaging.com/
Installation & Module configuration¶
First, you have to install the Ueye SDK. See the sdk README provide in the ueye module
Then, follow the generic instructions in Build and Install. If using CMake directly, add the following flag:
For the Tango server installation, refers to PyTango Device Server.
Initialisation and Capabilities¶
Implementing a new plugin for new detector is driven by the LIMA framework but the developer has some freedoms to choose which standard and specific features will be made available. This section is supposed to give you the correct information regarding how the camera is exported within the LIMA framework.
The camera will be initialized by creating a
Ueye::Camera object. The contructor sets the camera with default parameters, only the video address (e.g. 0) of the camera is mandatory.
This plugin has been implement in respect of the mandatory capabilites but with some limitations which are due to the camera and SDK features. Only restriction on capabilites are documented here.
getCurrImageType/getDefImageType(): it can change if the video mode change (see HwVideo capability).
setCurrImageType(): It only supports Bpp8 and Bpp16.
get/setTrigMode(): the only supported mode are IntTrig, IntTrigMult ExtTrigSingle and ExtTrigMult.
In addition to the standard capabilities, we make the choice to implement some optional capabilities which are supported by the SDK. Video and Binning are available.
The prosilica cameras are pure video device, so video format for image are supported:
- For color cameras ONLY
- Color and Monochrome cameras
Use get/setMode() methods of the video object (i.e. CtControl::video()) to read or set the format.
There is no restriction for the binning up to the maximum size.
See the SDK
How to use¶
A python code example for testing your camera:
from Lima import Ueye from lima import Core #-----------------+ # | # v the video address cam = Ueye.Camera(0) hwint = Ueye.Interface(cam) ct = Core.CtControl(hwint) acq = ct.acquisition() # set video and test video, supposing we have a color camera !! # video=ct.video() video.setMode(Core.YUV422) video.setExposure(0.1) video.startLive() video.stopLive() video_img = video.getLastImage() # set and test acquisition # # setting new file parameters and autosaving mode saving=ct.saving() pars=saving.getParameters() pars.directory='/buffer/lcb18012/opisg/test_lima' pars.prefix='test1_' pars.suffix='.edf' pars.fileFormat=Core.CtSaving.TIFF pars.savingMode=Core.CtSaving.AutoFrame saving.setParameters(pars) acq.setAcqExpoTime(0.1) acq.setNbImages(10) ct.prepareAcq() ct.startAcq() # wait for last image (#9) ready lastimg = ct.getStatus().ImageCounters.LastImageReady while lastimg !=9: time.sleep(0.1) lastimg = ct.getStatus().ImageCounters.LastImageReady # read the first image im0 = ct.ReadImage(0)