L’interface est localisée ; les présentations et documents des Skills sont traduits automatiquement par IA dans votre langue. Le code, les commandes, chemins et termes techniques restent en version originale, et le document de l’auteur fait foi.
Explorer les Skills
Design et création · SKILL.md

visualization-and-submission

visualization-and-submission

Guide NAVSIM camera, BEV, and LiDAR visualization plus safe two-stage submission pickle preparation and local validation.

Independent GitHub snapshot · Automated classification · Original documentation governs

Documentation de la Skill

GitHub

name: visualization-and-submission description: "Guide NAVSIM camera, BEV, and LiDAR visualization plus safe two-stage submission pickle preparation and local validation." disable-model-invocation: true metadata: disco-role: operating license: Apache 2.0

Visualization and submission

Use this route for NAVSIM scene plots, sensor overlays, GIFs, or a locally validated warmup/challenge submission.pkl.

Read this when

  • the task mentions plot_bev_frame, camera grids, annotations, LiDAR overlays, custom plots, or GIF rendering
  • a user needs the submission pickle schema or metadata checks
  • the workflow is warmup_two_stage or the authorized private private_test_hard_two_stage challenge path

Start here

  1. Read visualization.md for scene loading, plotting entry points, sensor prerequisites, and custom overlays.
  2. Read submission.md before creating a pickle; it defines the stage containers, required metadata, parity rules, and the private-data boundary.
  3. Read troubleshooting.md for dependency, path, Hydra, plotting, and submission failures.
  4. Run the bundled submission metadata validator on a trusted local pickle: python scripts/validate_submission_metadata.py --help, then python scripts/validate_submission_metadata.py path/to/submission.pkl.

Operating rules

  • Visualization needs a loaded Scene, sensor blobs, calibration, and a map API for map layers; API/help checks do not need local data.
  • Submission evaluation receives only AgentInput. The selected agent must have requires_scene=False; a privileged agent that needs Scene or annotations must stop before generation.
  • Validate locally, but do not download data, train, run a benchmark, or upload a Hugging Face model as part of this route. Stop and ask for explicit authorization before any external/private operation.
  • Use the same split and metric-cache path for warmup local evaluation and compare parity only after the local inputs are present. A valid pickle does not prove server acceptance or score parity.

Ownership boundaries

This route owns plotting and pickle preparation/validation. Route installation, data layout, sensor contracts, agent implementation, and EPDMS scoring to the corresponding NAVSIM skills; use the links in the references when composing a larger workflow.

Skills enregistrées