🚜 AnyTraverse Studio β€” Live Evaluation & HITL Dashboard

A live Gradio dashboard for evaluating the AnyTraverse zero-shot off-road traversability framework (paper, PyPI).

Workflow

  1. Upload a video of an off-road scene.
  2. Set the traversability preferences (Ο„), scene-similarity threshold, ROI-uncertainty threshold, ROI bounds and the VLM inference frame skip.
  3. Press ▢️ Go / Reset.
  4. Watch per frame:
    • raw image + ROI box Β· traversability map Β· uncertainty map Β· ROI crop
    • attention maps for all prompts (live, not in the exported video)
    • live dual-metric ROI traversability + uncertainty line plot
    • horizontal 0–1 gauge bars for the two ROI scores
    • the traversal state (ok / unknown_scene / unknown_object)
  5. The run halts whenever traversal_state != OK. Provide an operator update like mud: -0.7; gravel: 0.6 (or just ok) and press Resume.

Thresholds and ROI bounds can be edited live during a run β€” they are applied directly to the running pipeline.

Notes

  • The VLM weights (CLIPSeg + CLIP) download on first run and are cached.
  • The composed analysis video is exported as an H.264 .mp4 (bundled imageio-ffmpeg, no system ffmpeg required).
  • GPU is recommended; the space is configured for a T4 accelerator.
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Paper for sattwik21/anytraverse-studio