| # Pi0-real-robot |
|
|
| PyTorch `pi0` policy fine-tuned on the local UR5 real-robot LeRobot-format dataset: |
|
|
| - dataset: `ur5_lab_test_tube_camera_shifts` |
| - training config name: `pi0_ur5_real_robot_pytorch_baseline` |
| - base camera view: `observation.images.context_left_rgb` |
| - wrist camera view: `observation.images.wrist_right_rgb` |
| - base model init: `/scratch/yz11445/pi0_base` |
| - included checkpoint steps: `20000`, `25000`, `30000` |
|
|
| ## Included Files |
|
|
| - `config.json`: base Pi0 model config copied from the initialization checkpoint |
| - `model_architecture_config.json`: fine-tuned architecture settings used by this run |
| - `training_config_summary.json`: training/data/run summary for this release |
| - `assets/ur5_lab_test_tube_camera_shifts/norm_stats.json`: normalization statistics |
| - `checkpoints/<step>/`: checkpoint snapshots with `model.safetensors`, `metadata.pt`, and copied assets |
|
|
| ## Inference |
|
|
| Serve any checkpoint with: |
|
|
| ```bash |
| uv run scripts/serve_policy.py policy:checkpoint \ |
| --policy.config=pi0_ur5_real_robot_pytorch_baseline \ |
| --policy.dir=/path/to/Pi0-real-robot/checkpoints/30000 |
| ``` |
|
|
| Replace `30000` with one of `20000`, `25000`, or `30000`. |
|
|
| ## Notes |
|
|
| - The policy loader uses the code-defined training config `pi0_ur5_real_robot_pytorch_baseline` from `src/openpi/training/config.py`. |
| - Normalization stats are loaded from `assets/ur5_lab_test_tube_camera_shifts/norm_stats.json` inside each checkpoint directory. |
| - Tokenizer assets are not bundled in this release directory. In this codebase, the Pi0 tokenizer is loaded at runtime from external sources referenced in `src/openpi/models/tokenizer.py`. |
|
|
