Computer Vision on the Edge. This article describes some of the challenges to developing and deploying CV applications, and how to mitigate them.
Developing a Computer Vision (CV) application and bringing it to production requires integrating several pieces of hardware and software. How can we ensure the pieces work seamlessly together? With the right methodologies, we can expedite development and deployment of CV applications. It is essential to find a platform with the goal of helping developers create computer vision applications from scratch quickly and easily with an integrated set of freely available tools. This article describes some of the challenges to developing and deploying CV applications, and how to mitigate them. If you would like more information, you can join this free webinar on deployment challenges with computer vision.
Learn what are the most important API security threats engineering leaders should be aware of and steps you can take to prevent them
The method used for this initial research was to obtain a list of the ASX100 (as of 18 September 2020). Then work through each company looking at the following
Python provides several computer vision libraries and frameworks for developers to help them automate tasks and more. We are listing down 10 best Python libraries that developers can use for Computer Vision.
What is API product management and what can you be doing to be a better API product manager — get aligned with SaaS and enterprise software requirements. This guide lays out what is API product management and some of the things you should be doing to be a good product manager.
APIs are perceived as reliable—more than half of respondents stated that APIs do not break, stop working, or materially change specification often enough to matter.