fovux

oaslananka/fovux

★ 1 stars Python 💻 Code/Dev Tools Updated 1d ago

Local-first YOLO workbench for edge-AI computer vision: MCP server + VS Code Studio for dataset inspection, training, evaluation, export, and RTSP inference.

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Quick Install

Copy the config for your editor. Some servers may need additional setup — check the README.

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "fovux": {
      "command": "uvx",
      "args": [
        "fovux"
      ]
    }
  }
}

Or install with pip: pip install fovux

README Excerpt

<p align="center"> <strong>Local-first YOLO workbench for edge AI.</strong> </p> Fovux is a local-first vision workbench for YOLO datasets, training, evaluation, export, and edge inference. It seamlessly integrates a powerful Python MCP server (`fovux-mcp`) with a highly interactive VS Code companion (`Fovux Studio`) to streamline your computer vision engineering lifecycle.

Tools (7)

dataset_inspecteval_compareexport_onnxfovuxfovux_doctortrain_starttrain_status

Topics

computer-visiondataset-managementdeep-learningedge-ailocal-firstmachine-learningmcpmcp-servermodel-context-protocolmodel-evaluationmodel-trainingobject-detectiononnxprivacy-firstrtsp

fovux

Quick Install

README Excerpt

Tools (7)

Topics

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