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37abeda | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 | # 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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