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Renamed act_to_openvino.ipynb to lerobot-act.ipynb
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notebooks/lerobot_act/README.md

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# ACT Policy → OpenVINO IR Conversion (Notebook Guide)
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This README documents the current workflow implemented in `act_to_openvino.ipynb` for converting a LeRobot ACT (Action Chunking Transformer) PyTorch checkpoint into an OpenVINO IR (XML/BIN) model. The notebook presently performs FP32 export (Model Optimizer invoked with FP16 compression flag but output standardized to `act_model_fp32.xml/bin`).
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This README documents the current workflow implemented in `lerobot-act.ipynb` for converting a LeRobot ACT (Action Chunking Transformer) PyTorch checkpoint into an OpenVINO IR (XML/BIN) model. The notebook presently performs FP32 export (Model Optimizer invoked with FP16 compression flag but output standardized to `act_model_fp32.xml/bin`).
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## Required Checkpoint Files (`act_checkpoint/`)
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conda create -n unitree_lerobot python=3.10 -y
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conda activate unitree_lerobot
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# Launch notebook with correct kernel
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jupyter lab act_to_openvino.ipynb --NotebookApp.kernel_name=unitree_lerobot
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jupyter lerobot-act.ipynb --NotebookApp.kernel_name=unitree_lerobot
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```
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If you skip creating a dedicated environment, the dependency cell will install core packages (torch, openvino, nncf, etc.) into the current kernel. You MUST still install `lerobot` manually; the notebook will not auto‑install it.
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## Directory Layout (Example After Conversion, FP16 & INT8 Quantization)
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```
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act_to_openvino.ipynb
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lerobot-act.ipynb
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act_checkpoint/
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model.safetensors
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config.json

notebooks/lerobot_act/setup_unitree_lerobot_env.sh

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sanity_check
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log "Setup complete. Launch notebook with:"
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echo " conda activate ${ENV_NAME}"
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echo " jupyter lab notebooks/lerobot_act/act_to_openvino.ipynb --NotebookApp.kernel_name=${ENV_NAME}"
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echo " jupyter lab notebooks/lerobot_act/lerobot-act.ipynb --NotebookApp.kernel_name=${ENV_NAME}"
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}
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