Search Results for "python augmented reality"

Cactus is a low-latency, energy-efficient AI inference framework designed specifically for mobile devices and wearables, enabling advanced machine learning capabilities directly on-device. It provides a full-stack architecture composed of an inference engine, a computation graph system, and highly optimized hardware kernels tailored for ARM-based processors. Cactus emphasizes efficient memory usage through techniques such as zero-copy computation graphs and quantized model formats, allowing...

...TDS can be trained using Deep Reinforcement Learning, or using Gradient based optimization (for example LFBGS). In addition, the simulator can be entirely run on CUDA for fast rollouts, in combination with Augmented Random Search. This allows for 1 million simulation steps per second. It is highly recommended to use PyBullet Python bindings for improved support for robotics, reinforcement learning and VR. Use pip install pybullet and checkout the PyBullet Quickstart Guide.

...It supports integration with machine learning models, enabling hybrid workflows that combine traditional computer vision techniques with modern AI approaches. SmartOpenCV is suitable for applications such as robotics, surveillance, augmented reality, and image analysis, where efficient and reliable processing is required. It also includes utilities for handling video streams and real-time processing, making it applicable to dynamic environments.

The OpenSUSE Augmented Reality (OSAR) distribution is the first GNU / Linux appliance created for the exclusive development of applications with augmented reality technology and games with computer vision.

This library contains among other things a set of graphical widgets for video output, performance evaluation and augmented reality. The library also provides classes for several data types usually required by computer vision and image processing applications such as vectors, matrices, quaternions and images. Thanks to a large number of wrapper functions these objects can be used with highly efficient functionality from third party libraries such as OpenCV, GNU Scientific Library, Computational Geometry Algorithms Library, Intel's Math Kernel Library and Integrated Performance Primitives, the Octave library, etc...

This is the RoboCup Mixed Reality Project: a standard research and educational platform integrating cutting edge and low cost watch technology into a miniature multi-robot system which mixes reality and simulation.

OpenCV-AR is a software library used for Augmented Reality development. It is targeted on Linux, though it is also able to work on Windows platform. It is an alternative to ARToolKit for Augmented Reality application development.