Pixet SDK

Pixet SDK

Overview

We provide SDK for our products. Currently it has binary and python API.
Each API contain 3 groups of using type:

Basic measuring and settings

• Settings of the device
• Getting information about the device
• Single frame measurement
• Multi-frame measurement
• Data-driven (pixel mode) measurement

Cluster processing

• Searching for clusters in saved data
• Measuring with online searching for clusters
• Getting informations about clusters - Time of arrival, energy, size, ...

Spectral imaging

• Cluster processing with convert each cluster to pixel and create image
• Getting spectrum information from whole chip or from selected area

Binary (C) APIs

This APIs contains binary libraries, DLLs for Windows and SOs for Linux.
It is intended to be easily used from C/C++, but it is also possible to use it from many other languages, e.g. C#, kotlin, ... and can be imported to the LabView.
This API was created as simplified, for ease of use, for example in industry, so it is not object-oriented, for example.
Binary libraries are available in 32 and 64 bit versions for PCs and for ARMs and can be used on PC, RPi and some Android phones

The binary API has parts:

Core/basic API

With the pxcore library, allowing basic measurements and device settings.
Files:

• pxcapi.h API header file
• pxcore.dll or pxcore.so binary libraries for Windows or Linux
• pxcore.lib static linging file for easier using on Windows (compile time only)

See Binary core API

Clustering API

With the pxproc library, designed for searching and processing clusters. Processing is possible online during measurement, or offline by processing data from files.
Files:

• clusteringapi.h API header file
• pxproc.dll or pxproc.so binary libraries for Windows or Linux
• pxproc.lib static linging file for easier using on Windows (compile time only)

See Binary Clustering API

Spectral Imaging API

Also with the pxproc library, which, after cluster processing, additionally creates frames, where a single pixel is created from each cluster. And energy spectrum graphs can also be easilly generated. From the entire surface or a selected section.
Files:

• spectraimgapi.h API header file
• pxproc.dll or pxproc.so binary libraries for Windows or Linux
• pxproc.lib static linging file for easier using on Windows (compile time only)

See Binary Spectral Imaging API

Python API

The Python API was created primarily for scientific purposes, so it is quite extensive and fully object-oriented. It can be used either directly using Python installed on the computer or from a small IDE integrated in the Pixet program.
API files list:

• pypixet.pyd - Basic API file for all basic device functions like as settings, measuring and get status information.
• pypxproc.pyd - Pixel processing, used by Clustering and Spectral imaging objects.
• pypixetgui.pyd - API for using the Pixet GUI. programmer can create windows, dialogs, graphs, ... (Usable only if started from the IDE integrated in the Pixet program)

This API also using the pxcore and pxproc libraries.

See Python API

Auxilliary files

If you want using some our API, you need an auxilliary files:

• The pixet.ini file located in the program starting directory.
• hwlib file(s) listed in the pixet.ini.
• Drivers for some devices properly installed on the computer.
• Additional files required for some devices. Typically FPGA firmwares. Located in the program starting directory.
• Device factory configuration XML file(s) for individual device. Located by pixet.ini settings, default is the "factory" subdirectory of the program starting directory.
• Location for saving the current configuration, with write enabled. Located by pixet.ini settings, default is the "configs" subdirectory of the program starting directory.
• Location for storing log files, with write enabled. Located by pixet.ini settings, default is the "logs" subdirectory of the program starting directory.