Datasets:
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README.md
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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
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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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# Policy Evaluation
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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).
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