Instructions to use SieloRobotics/Diffusion_ee_chunk_bottle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use SieloRobotics/Diffusion_ee_chunk_bottle with LeRobot:
- Notebooks
- Google Colab
- Kaggle
File size: 3,014 Bytes
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"type": "diffusion",
"n_obs_steps": 2,
"input_features": {
"observation.state": {
"type": "STATE",
"shape": [
19
]
},
"observation.images.top": {
"type": "VISUAL",
"shape": [
3,
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640
]
},
"observation.images.wrist": {
"type": "VISUAL",
"shape": [
3,
480,
640
]
},
"observation.ee_pose": {
"type": "STATE",
"shape": [
10
]
},
"observation.ee_state": {
"type": "STATE",
"shape": [
19
]
},
"observation.joints": {
"type": "STATE",
"shape": [
7
]
}
},
"output_features": {
"action": {
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"shape": [
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]
},
"action.ee_pose": {
"type": "ACTION",
"shape": [
10
]
},
"action.joints": {
"type": "ACTION",
"shape": [
7
]
}
},
"device": "cuda",
"use_amp": false,
"use_peft": false,
"push_to_hub": true,
"repo_id": "SieloRobotics/Diffusion_ee_chunk_bottle",
"private": null,
"tags": null,
"license": null,
"pretrained_path": null,
"pretrained_revision": null,
"horizon": 8,
"n_action_steps": 1,
"normalization_mapping": {
"VISUAL": "MEAN_STD",
"STATE": "MIN_MAX",
"ACTION": "MIN_MAX"
},
"drop_n_last_frames": 22,
"vision_backbone": "resnet18",
"resize_shape": [
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],
"crop_ratio": 0.95,
"crop_shape": [
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"crop_is_random": true,
"pretrained_backbone_weights": "ResNet18_Weights.IMAGENET1K_V1",
"use_group_norm": false,
"spatial_softmax_num_keypoints": 32,
"use_separate_rgb_encoder_per_camera": true,
"down_dims": [
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"kernel_size": 5,
"n_groups": 8,
"diffusion_step_embed_dim": 128,
"use_film_scale_modulation": true,
"gradient_checkpointing": false,
"noise_scheduler_type": "DDPM",
"num_train_timesteps": 100,
"beta_schedule": "squaredcos_cap_v2",
"beta_start": 0.0001,
"beta_end": 0.02,
"prediction_type": "epsilon",
"clip_sample": true,
"clip_sample_range": 1.5,
"num_inference_steps": null,
"compile_model": true,
"compile_mode": "reduce-overhead",
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"optimizer_lr": 0.0002,
"optimizer_betas": [
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0.999
],
"optimizer_eps": 1e-08,
"optimizer_weight_decay": 1e-06,
"scheduler_name": "cosine",
"scheduler_warmup_steps": 500
} |