VisioGrid is a distributed computing platform developed with Rust, focusing on image recognition. This project aims to establish an efficient distributed system for processing large-scale image data. By parallel processing tasks in a multi-agent environment, VisioGrid improves the efficiency and speed of image processing.

Main Features

Agent Communication: Implements stable communication between agents using TcpStream.
Agent Monitoring: Real-time monitoring of each agent to ensure stable operation.
Task and File Transfer: Efficient transmission of task information and files.
Image Recognition: Supports a variety of image recognition models.

Technology Stack

Rust: Fully leverages the high performance and safety features of Rust.
Actix Web: Provides a user-friendly web management interface.
tokio: Uses Tokio's asynchronous runtime for performance optimization.
tch-rs: Performs deep learning model inference using Torch's Rust bindings.
GStreamer: Used for handling media streams and media content.

Installation and Configuration

Clone the repository: git clone https://github.com/DaLaw2/VisioGrid
From source code compilation:
- Compile the management node (Management) requires installing GStreamer: cargo build --release --package Management
- Compile the agent (Agent) requires installing LibTorch: cargo build --release --package Agent
Running with Docker:
- The Docker containers for the management node (Management) and agent (Agent) include all necessary dependencies, no manual installation required.

How to Use

Compile from source code or use Docker containers to run the management node and agents according to your needs.
When running with Docker containers, the build and run commands are as follows:
- Build the management node container: docker build -t management-image ./Docker/Management
- Run the management node container: docker run management-image
- Build the agent container: docker build -t agent-image ./Docker/Agent
- Run the agent container: docker run agent-image
Containers run without the need for any commands, automatically configuring based on initial settings.

Error Handling and Security

Proactively handles all errors and enhances system stability and security through logging.