Python Framework for Programming Basler FPGAs
Our Python framework provides simple FPGA programming using Python to develop your vision solution. The image processing solution is described with Python on Basler FPGAs and then executed on our frame grabbers and cameras. By outsourcing the algorithm, higher bandwidths and lower latencies can be achieved. The framework contains common image processing functions and enables image processing to be simulated on the hardware before deployment.
Python-based programming for FPGAs
One code for all platforms such as camera or frame grabberComplete simulation before deployment
Integration of Python libraries as a programming aidImage processing on the hardware with 0% CPU load
Minimized latency, maximized bandwidthPre-fabricated image processing functions
Pre-developed functions as with well-known image processing frameworks
What are the advantages?
Easy FPGA development in Python thanks to ready-made image processing functions
Simulation before deployment
High bandwidths and low latencies
Save on hardware resources, such as expensive vision PCs or embedded hardware
One code for frame grabbers, cameras, and co.
No efficiency loss compared to compiled Python code for FPGAs
What does innovation project mean?
As a project in the innovation phase, we are focused on using our customers' experiences to see how well the Python framework can be used in real-world applications.
To do this, we want to understand the specific needs and challenges of your application. Based on your feedback, we can move our project forward!
We look forward to you becoming part of the development project!
What information do we need?
Your contact details
What is the aim of your application?
Camera or frame grabber application?
Low-code or rather no-code?
Is Python the right language?
Curious? Questions? Suggestions?
I look forward to hearing from you so we can continue to develop our Python framework.
Kevin Höfle - Application Engineer
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