Requirements

Server

Operating system

Windows 11 or Ubuntu 24.04 (64 bit)

Storage

Disk space for the images and annotation files. The database (accounts, history, notes) must be on a local disk of the server, not on a network share. The project folders may be on a share.

Network

One TCP port for the browsers, default 8080. HTTPS by default (self-signed certificate, your own certificate or a reverse proxy such as nginx or IIS).

Optional

Access to the company directory (LDAP/LDAPS) or to an OpenID Connect provider for sign-in; access to an S3 store for projects in buckets.

Users

  • A current version of Google Chrome, Microsoft Edge or Mozilla Firefox.

  • Recommended: a screen of 1280 × 800 pixels or more and a mouse with a wheel. On smaller screens the panels are stacked.

  • Nothing to install.

Box suggestion service (optional)

Operating system

Ubuntu 24.04, Windows 11 or macOS

Software

Python 3.12 (the installers set up everything else)

Hardware

An NVIDIA GPU (CUDA 11.8 or 12) is recommended. On Windows any DirectX 12 GPU works for your ONNX networks; Apple Silicon works on macOS. A CPU works too, but suggestions then take seconds per image.

Networks

Your trained networks as exported by LumiScan Training (network.onnx and network_description.json)

See Box Suggestion Service.

Licence

This version of LumiScan Annotation Web runs without a LumiScan Key. For licensing questions, contact HD Vision Systems.