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@@ -3,6 +3,9 @@ task_categories:
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  - robotics
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  tags:
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  - LeRobot
 
 
 
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  ---
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  # 2024 RoboGrasp Dataset
@@ -118,7 +121,19 @@ Terminated training too early? No worries! you can resume training from a previo
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  ```
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  Where `OUTPUT_PATH` is the path to the checkpoint folder. It should look something like `outputs/train/2024-10-23/18-38-31_aloha_MODELTYPE_default`
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-
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- This dataset was created using [🤗 LeRobot](https://github.com/huggingface/lerobot).
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  - robotics
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  tags:
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  - LeRobot
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+ - RoboGrasp2024
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+ - Virtual
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+ pretty_name: RoboGrasp 2024 Hackathon Dataset
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  ---
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  # 2024 RoboGrasp Dataset
 
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  ```
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  Where `OUTPUT_PATH` is the path to the checkpoint folder. It should look something like `outputs/train/2024-10-23/18-38-31_aloha_MODELTYPE_default`
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+ ## Upload trained policy checkpoint
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+ After training the model you can upload it to Huggingface with:
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+ ```bash
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+ huggingface-cli upload $hf_username/$repo_name PATH_TO_CHECKPOINT
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+ ```
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+ where PATH_TO_CHECKPOINT is the folder containing the checkpoints of your training. it should look like `outputs/train/2024-10-23/23-02-55_aloha_diffusion_default/checkpoints/015000`.
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+
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+ # Policy Evaluation
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+
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+
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+ ```
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+ python hackathon/evaluate_pretrained_policy_hackathon.py --device cuda --pretrained-policy-name-or-path HumanoidTeam/hackathon_sim_aloha --num-videos 5 --num-rollouts 10
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+ ```
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+ This dataset was created using [🤗 LeRobot](https://github.com/huggingface/lerobot).