Search Results for "face"

...It lets users index and retrieve content based on meaning rather than keywords, making it ideal for modern AI-based search applications. CocoIndex leverages vector embeddings and integrates with various models and frameworks, including OpenAI and Hugging Face, to provide high-quality semantic understanding. It’s built for transparency, ease of use, and local control over your search data, distinguishing itself from closed, black-box systems. The tool is suitable for developers working on personal knowledge bases, AI search interfaces, or private LLM applications.

...Actors and Streams let you build systems that scale up, using the resources of a server more efficiently, and out, using multiple servers. Building on the principles of The Reactive Manifesto Akka allows you to write systems that self-heal and stay responsive in the face of failures. Up to 50 million msg/sec on a single machine. Small memory footprint; ~2.5 million actors per GB of heap. Distributed systems without single points of failure. Load balancing and adaptive routing across nodes. Event Sourcing and CQRS with Cluster Sharding. Distributed Data for eventual consistency using CRDTs. Asynchronous non-blocking stream processing with backpressure.

...Sample includes region like Australia, Austria, Belgium, Brazil, Canada, Chile, Czechia, Denmark, Estonia, Europe, Finland, France, Germany, Greece, Hong Kong, Iceland, Indonesia, Ireland, Israel, Italy, Japan, Luxembourg, Macau, Malaysia, Netherlands, Norway, Korea, Philippines, Poland,Portugal,Qatar,Romania,Saudi Arabia,Singapore,Slovenia,Spain,Sweden,Switzerland,Taiwan,Thailand,United Kingdom,United States of America,etc. with various data such as face mask maps, and more.

A topological data structure to handle 2D, surfaces and 3D simplicial meshes. This data structure is implemented in C++ using templates. It is based on Corner-Table and CGAL data structure.

This is meant for manual face comparison for forensic use. Details of the face can be compared with as side-by-side screen and the findings can be given on a digital sheet. All kinds of operations are possible with the face.

Artificial vision library. Objectives are to make an OCR, fingerprint and face identification as some applications through a general purpose learning and pattern relationships algorithm (Currently performs very basic identification).

Program to detect human faces on a digital picture. It uses a MLP neural net that receive relative distances from face distribution clusters of the image space. Written in C++. Requires newmat and libann libraries.