linhma/visualrfs repository overview

This Docker image was built using a "Headless Ubuntu/Xfce container with VNC/noVNC and Chromium Browser." It supports Python 3.8 and has already compiled all Python and C++ libraries required to run the visual GLMB/LMB with re-identification codes, VisualRFS⁠.

The Docker image also includes detection files from FairMOT⁠ with 256D re-identification, as well as files from GSDT⁠. The MOT16⁠ dataset is included as well.

⁠HOW TO USE?

1. Running Docker
   • docker run -d -p "36901:6901" --name quick --hostname quick linhma/visualrfs
   • Demo: https://www.youtube.com/watch?v=CXcblLIM520⁠
2. Opening Browser
   • Navigate to http://localhost:36901/vnc.html?password=headless => or http://localhost:36901 choose 'noVNC Full Client' => password 'headless'
   • Run the Tracking Demo, Navigate to the /app/VisualRFS/src/, joint_glmb or joint_lmb and run python run_joint_glmb.py OR python run_joint_lmb.py.
3. Refer to the documentation https://accetto.github.io/user-guide-g3/quick-start/⁠