Search Results for "state-thread"

...The system can reuse an agent’s existing tools, MCP servers, skills, configuration, and authentication through ACP-based integrations. Interfaces include a browser UI, terminal UI, and a macOS desktop orb with an integrated local gateway. Local profile, memory, and task-state files preserve continuity across sessions while configured audio and backend services handle model processing.

This is YOLO-v3 and v2 for Windows and Linux. YOLO (You only look once) is a state-of-the-art, real-time object detection system of Darknet, an open source neural network framework in C. YOLO is extremely fast and accurate. It uses a single neural network to divide a full image into regions, and then predicts bounding boxes and probabilities for each region. This project is a fork of the original Darknet project.

...PyMesh is written with both C++ and Python, where computational intensive functionalities are realized in C++, and Python is used for creating minimalistic and easy-to-use interfaces. PyMesh is a rapid prototyping platform focused on geometry processing. It provides a set of common mesh processing functionalities and interfaces with a number of state-of-the-art open-source packages to combine their power seamlessly under a single developing environment. Mesh process should be simple in python. PyMesh promotes human-readable, minimalistic interface and works with native python data structures such as numpy.ndarray.

...The OpenFace toolkit is capable of performing several complex facial analysis tasks, including facial landmark detection, eye-gaze estimation, head pose estimation and facial action unit recognition. OpenFace is able to deliver state-of-the-art results in all of these mentioned tasks. OpenFace is available for Windows, Ubuntu and macOS installations. It is capable of real-time performance and does not need to run on any specialist hardware, a simple webcam will suffice.

MplayerXP is branch of well known mplayer (http://mplayerhq.hu) which is based on new (thread based) core. Main goal of this project is to achieve smoothness of video playback due monotonous CPU loading.

A gathering of state-of-the-art tools for GPU based image processing. They are the sourcecode for related research articles, and provide the basis for own experimentation. All are being implemented forNVidia GPUs in Linux, hence the name "nvision" ;)