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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. | |