Download config/task/aloha.yaml from ducido/diffusion_policy_gbc: direct link, hf CLI and curl.
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https://huggingface.co/ducido/diffusion_policy_gbc/resolve/main/config/task/aloha.yaml
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1.58 kB
| name: aloha | |
| shape_meta: | |
| # acceptable types: rgb, low_dim | |
| obs: | |
| high_images: | |
| shape: [3, 480, 640] | |
| type: rgb | |
| wrist_images: | |
| shape: [3, 480, 640] | |
| type: rgb | |
| states: | |
| shape: [13] | |
| action: | |
| shape: [13] | |
| task_name: &task_name aloha | |
| dataset_type: &dataset_type mh | |
| dataset_path: &dataset_path data/aloha/placing_drawer_demo/placing_drawer_demo.hdf5 | |
| # abs_action: &abs_action True | |
| env_runner: | |
| _target_: diffusion_policy.env_runner.robomimic_image_runner.RobomimicImageRunner | |
| dataset_path: | |
| shape_meta: | |
| n_train: 6 | |
| n_train_vis: 0 | |
| train_start_idx: 0 | |
| n_test: 50 | |
| n_test_vis: 0 | |
| test_start_seed: 100000 | |
| # use python's eval function as resolver, single-quoted string as argument | |
| max_steps: ${eval:'500 if "${task.dataset_type}" == "mh" else 400'} | |
| n_obs_steps: ${n_obs_steps} | |
| n_action_steps: ${n_action_steps} | |
| render_obs_key: 'agentview_image' | |
| fps: 10 | |
| crf: 22 | |
| past_action: ${past_action_visible} | |
| # abs_action: *abs_action | |
| tqdm_interval_sec: 1.0 | |
| n_envs: 25 | |
| # evaluation at this config requires a 16 core 64GB instance. | |
| dataset: | |
| _target_: diffusion_policy.dataset.aloha_replay_image_dataset.AlohaReplayImageDataset | |
| shape_meta: | |
| dataset_path: | |
| horizon: ${horizon} | |
| pad_before: ${eval:'${n_obs_steps}-1+${n_latency_steps}'} | |
| pad_after: ${eval:'${n_action_steps}-1'} | |
| n_obs_steps: ${dataset_obs_steps} | |
| # abs_action: *abs_action | |
| # rotation_rep: 'rotation_6d' | |
| # use_legacy_normalizer: False | |
| use_cache: True | |
| seed: 42 | |
| val_ratio: 0.02 | |