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ScenePilot release bundle

This archive is a compact snapshot of the ScenePilot training, inference, and evaluation code used for the reported experiments. It intentionally excludes datasets, generated videos, experiment logs, temporary runtime scripts, caches, and intermediate checkpoints.

Included checkpoints

  • checkpoints/scenepilot_step60500.ckpt: primary checkpoint used for the final ScenePilot camera, scene-time, joint-control, and memory evaluations.
  • checkpoints/scenepilot_step49500.ckpt: frequently used 40K+ checkpoint for the AD-heavy qualitative evaluations.

The checkpoints are PyTorch zip-format files. Their SHA-256 hashes are listed in SHA256SUMS.

Base-model dependency

The Wan2.2 TI2V 5B base-model assets are not duplicated in this archive. The training and inference launchers expect a separately downloaded Wan2.2-TI2V-5B directory containing the DiT shards, VAE, UMT5 encoder, and tokenizer. Set WAN22_ROOT to that directory before running the launchers.

Main entry points

  • Stage-1 training: code/train_recammaster_stage_0_bidir_varhist_df_wan22_ti2v5b.py
  • Stage-2 memory training: code/train_recammaster_stage_0_bidir_varhist_memory_static3drope_df_wan22_ti2v5b.py
  • Stage-2 launcher: code/run_stage0_bidir_varhist_memory_static3drope_df_wan22_ti2v5b.sh
  • Camera and scene-time evaluation: code/inference/static_cam_time_eval/
  • Joint camera-time evaluation: code/inference/joint_camera_time_eval/
  • Final evaluation launcher: code/tools/run_scenepilot_step60500_full_eval_2gpu_20260721.sh

Provenance

  • Source working tree: /home/hongbo.liu2/recam-helios
  • Git commit at packaging time: cbe6d9c
  • Branch: hongbo/dfhelios-cleanup-0520
  • Packaging date: 2026-08-03

The bundle captures the current working-tree files, including local changes that were used during training and evaluation.

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