Lay a foundation for success with Tested Reference Architectures developed by Fortinet’s experts. Learn more in this white paper.
Moving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
Download Now
Full-stack observability with actually useful AI | Grafana Cloud
Our generous forever free tier includes the full platform, including the AI Assistant, for 3 users with 10k metrics, 50GB logs, and 50GB traces.
Built on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
Shape recognition for video games using fast algorithms (heuristics).
This project is a really small software that can be used as a demonstration of my own shape recognition algorithms.
There are a process during the shape drawing and a post-processing when it is done. Finally the shape recognition is launched.
All the algorithms are done for real time gaming. So they are heuristics and do not give the optimal solution. Yet the given solution is generally a good one.
In this demonstration, few shapes can be recognized:
* circles
* triangles
* lines...
This system provides printed and cursive handwriting recognition service as a shared library on GNU/Linux/Unix systems.
Until someone writes another client, try the S/HIP:
https://sourceforge.net/projects/ship-project/
Obsolete for most. Use the Ink2Text project instead - no Windows needed! A Linux/Unix library providing full cursive & printed handwriting recognition by connecting to a Windows XP Tablet back end. Need Service & client files.
Qt Handwriting Recognizing it's a simple Qt GUI interface of a artificial neural network to provide handwrite recognition. This project use FANN (Fast Artificial Neural Network) on first approach.
Generate interest, access liquidity without selling, and execute trades seamlessly. All in one platform.
Geographic restrictions, eligibility, and terms apply.
Neuroph OCR - Handwriting Recognition is developed to recognize hand written letter and characters. It's engine derived's from the Java Neural Network Framework - Neuroph and as such it can be used as a standalone project or a Neuroph plug in.