Upload folder using huggingface_hub
Browse files- config.json +79 -0
- experiment_cfg/conf.yaml +101 -0
- experiment_cfg/metadata.json +179 -0
- model.safetensors +3 -0
- optimizer.pt +3 -0
- rng_state_0.pth +3 -0
- rng_state_1.pth +3 -0
- rng_state_2.pth +3 -0
- rng_state_3.pth +3 -0
- rng_state_4.pth +3 -0
- rng_state_5.pth +3 -0
- rng_state_6.pth +3 -0
- rng_state_7.pth +3 -0
- scheduler.pt +3 -0
- trainer_state.json +0 -0
config.json
ADDED
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{
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"action_dim": 32,
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| 3 |
+
"action_head_cfg": {
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| 4 |
+
"_convert_": "object",
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| 5 |
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"_target_": "gr00t.model.action_head.flow_matching_action_head_idm.FlowMatchingActionHeadIDM",
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| 6 |
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"config": {
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| 7 |
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"_recursive_": false,
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| 8 |
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"_target_": "gr00t.model.action_head.flow_matching_action_head_idm.FlowMatchingActionHeadIDMConfig",
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| 9 |
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"action_dim": 32,
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| 10 |
+
"action_horizon": 16,
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| 11 |
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"add_pos_embed": true,
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| 12 |
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"add_seperator_token": true,
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| 13 |
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"add_view_embed": true,
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| 14 |
+
"backbone_features_projector_cfg": null,
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| 15 |
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"diffusion_model_cfg": {
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| 16 |
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"_target_": "gr00t.model.action_head.cross_attention_dit.DiT",
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| 17 |
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"attention_head_dim": 64,
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| 18 |
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"dropout": 0.2,
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| 19 |
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"final_dropout": true,
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"interleave_self_attention": true,
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"norm_type": "ada_norm",
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"num_attention_heads": 16,
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"num_layers": 8,
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"output_dim": 1024,
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"positional_embeddings": null
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},
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"hidden_size": 1024,
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| 28 |
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"max_action_dim": 32,
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"max_num_views": 6,
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| 30 |
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"max_state_dim": 64,
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| 31 |
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"mm_projector_cfg": {
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| 32 |
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"_convert_": "object",
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| 33 |
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"_target_": "gr00t.model.action_head.multimodal_projector.MultimodalProjector",
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| 34 |
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"config": {
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| 35 |
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"_target_": "gr00t.model.action_head.multimodal_projector.MultimodalProjectorConfig",
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| 36 |
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"hidden_size": 1024,
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| 37 |
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"mm_hidden_size": 1024,
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| 38 |
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"mm_projector_type": "mlp_doubledownsample"
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}
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},
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"mm_vision_select_layer": -2,
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| 42 |
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"model_dtype": "float32",
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"noise_beta_alpha": 1.5,
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| 44 |
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"noise_beta_beta": 1.0,
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| 45 |
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"noise_s": 0.999,
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| 46 |
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"num_inference_timesteps": 16,
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| 47 |
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"num_timestep_buckets": 1000,
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| 48 |
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"siglip_hidden_size": 1024,
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| 49 |
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"siglip_model_cfg": {
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| 50 |
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"_convert_": "object",
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| 51 |
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"_target_": "gr00t.model.action_head.siglip.SiglipModel.from_pretrained",
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| 52 |
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"pretrained_model_name_or_path": "google/siglip2-large-patch16-256"
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| 53 |
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},
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| 54 |
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"tune_vision_tower": true,
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| 55 |
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"vl_self_attention_cfg": {
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| 56 |
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"_target_": "gr00t.model.action_head.cross_attention_dit.SelfAttentionTransformer",
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| 57 |
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"attention_head_dim": 64,
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| 58 |
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"dropout": 0.2,
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| 59 |
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"final_dropout": true,
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| 60 |
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"num_attention_heads": 16,
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| 61 |
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"num_layers": 4,
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| 62 |
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"positional_embeddings": null
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| 63 |
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}
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| 64 |
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}
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| 65 |
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},
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| 66 |
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"action_horizon": 16,
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| 67 |
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"architectures": [
|
| 68 |
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"IDM"
|
| 69 |
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],
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| 70 |
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"backbone_cfg": {
|
| 71 |
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"_target_": "gr00t.model.backbone.IdentityBackbone"
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| 72 |
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},
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| 73 |
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"compute_dtype": "bfloat16",
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| 74 |
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"hidden_size": 0,
|
| 75 |
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"model_dtype": "float32",
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| 76 |
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"model_type": "idm",
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| 77 |
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"torch_dtype": "float32",
|
| 78 |
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"transformers_version": "4.51.3"
|
| 79 |
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}
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experiment_cfg/conf.yaml
ADDED
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@@ -0,0 +1,101 @@
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| 1 |
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modality_configs:
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| 2 |
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idm_data:
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| 3 |
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video:
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| 4 |
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_target_: gr00t.data.dataset.ModalityConfig
|
| 5 |
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delta_indices:
|
| 6 |
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- 0
|
| 7 |
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- 16
|
| 8 |
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modality_keys:
|
| 9 |
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- video.top_view
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| 10 |
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state:
|
| 11 |
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_target_: gr00t.data.dataset.ModalityConfig
|
| 12 |
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delta_indices:
|
| 13 |
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- 0
|
| 14 |
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- 16
|
| 15 |
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modality_keys:
|
| 16 |
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- state.lerobot
|
| 17 |
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action:
|
| 18 |
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_target_: gr00t.data.dataset.ModalityConfig
|
| 19 |
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delta_indices:
|
| 20 |
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- 0
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| 21 |
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- 1
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| 22 |
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- 2
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| 23 |
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- 3
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| 24 |
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- 4
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- 5
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| 26 |
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- 6
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- 7
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| 28 |
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- 8
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- 9
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- 10
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| 31 |
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- 11
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| 32 |
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- 12
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| 33 |
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- 13
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| 34 |
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- 14
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| 35 |
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- 15
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| 36 |
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modality_keys:
|
| 37 |
+
- action.lerobot
|
| 38 |
+
language:
|
| 39 |
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_target_: gr00t.data.dataset.ModalityConfig
|
| 40 |
+
delta_indices:
|
| 41 |
+
- 0
|
| 42 |
+
- 16
|
| 43 |
+
modality_keys:
|
| 44 |
+
- annotation.human.action.task_description
|
| 45 |
+
|
| 46 |
+
all_transforms:
|
| 47 |
+
idm_data:
|
| 48 |
+
_target_: gr00t.data.transform.base.ComposedModalityTransform
|
| 49 |
+
transforms:
|
| 50 |
+
- _target_: gr00t.data.transform.video.VideoToTensor
|
| 51 |
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apply_to:
|
| 52 |
+
- video.top_view
|
| 53 |
+
- _target_: gr00t.data.transform.video.VideoCrop
|
| 54 |
+
apply_to:
|
| 55 |
+
- video.top_view
|
| 56 |
+
scale: 0.95
|
| 57 |
+
- _target_: gr00t.data.transform.video.VideoResize
|
| 58 |
+
apply_to:
|
| 59 |
+
- video.top_view
|
| 60 |
+
height: 480
|
| 61 |
+
width: 640
|
| 62 |
+
interpolation: linear
|
| 63 |
+
- _target_: gr00t.data.transform.video.VideoColorJitter
|
| 64 |
+
apply_to:
|
| 65 |
+
- video.top_view
|
| 66 |
+
brightness: 0.3
|
| 67 |
+
contrast: 0.4
|
| 68 |
+
saturation: 0.5
|
| 69 |
+
hue: 0.08
|
| 70 |
+
- _target_: gr00t.data.transform.video.VideoToNumpy
|
| 71 |
+
apply_to:
|
| 72 |
+
- video.top_view
|
| 73 |
+
- _target_: gr00t.data.transform.state_action.StateActionToTensor
|
| 74 |
+
apply_to:
|
| 75 |
+
- state.lerobot
|
| 76 |
+
- _target_: gr00t.data.transform.state_action.StateActionSinCosTransform
|
| 77 |
+
apply_to:
|
| 78 |
+
- state.lerobot
|
| 79 |
+
- _target_: gr00t.data.transform.state_action.StateActionToTensor
|
| 80 |
+
apply_to:
|
| 81 |
+
- action.lerobot
|
| 82 |
+
- _target_: gr00t.data.transform.state_action.StateActionTransform
|
| 83 |
+
apply_to:
|
| 84 |
+
- action.lerobot
|
| 85 |
+
normalization_modes:
|
| 86 |
+
action.lerobot: min_max
|
| 87 |
+
- _target_: gr00t.data.transform.concat.ConcatTransform
|
| 88 |
+
video_concat_order:
|
| 89 |
+
- video.top_view
|
| 90 |
+
state_concat_order:
|
| 91 |
+
- state.lerobot
|
| 92 |
+
action_concat_order:
|
| 93 |
+
- action.lerobot
|
| 94 |
+
- _target_: gr00t.model.transforms_idm.GR00TIDMTransform
|
| 95 |
+
state_horizon: 2
|
| 96 |
+
action_horizon: 16
|
| 97 |
+
max_state_dim: 64
|
| 98 |
+
max_action_dim: 32
|
| 99 |
+
|
| 100 |
+
metadata_versions:
|
| 101 |
+
idm_data: v2.1
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experiment_cfg/metadata.json
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|
| 1 |
+
{
|
| 2 |
+
"new_embodiment": {
|
| 3 |
+
"statistics": {
|
| 4 |
+
"state": {
|
| 5 |
+
"lerobot": {
|
| 6 |
+
"max": [
|
| 7 |
+
0.0,
|
| 8 |
+
0.0,
|
| 9 |
+
0.0,
|
| 10 |
+
0.0,
|
| 11 |
+
0.0,
|
| 12 |
+
0.0,
|
| 13 |
+
0.0,
|
| 14 |
+
0.0,
|
| 15 |
+
0.0
|
| 16 |
+
],
|
| 17 |
+
"min": [
|
| 18 |
+
0.0,
|
| 19 |
+
0.0,
|
| 20 |
+
0.0,
|
| 21 |
+
0.0,
|
| 22 |
+
0.0,
|
| 23 |
+
0.0,
|
| 24 |
+
0.0,
|
| 25 |
+
0.0,
|
| 26 |
+
0.0
|
| 27 |
+
],
|
| 28 |
+
"mean": [
|
| 29 |
+
0.0,
|
| 30 |
+
0.0,
|
| 31 |
+
0.0,
|
| 32 |
+
0.0,
|
| 33 |
+
0.0,
|
| 34 |
+
0.0,
|
| 35 |
+
0.0,
|
| 36 |
+
0.0,
|
| 37 |
+
0.0
|
| 38 |
+
],
|
| 39 |
+
"std": [
|
| 40 |
+
0.0,
|
| 41 |
+
0.0,
|
| 42 |
+
0.0,
|
| 43 |
+
0.0,
|
| 44 |
+
0.0,
|
| 45 |
+
0.0,
|
| 46 |
+
0.0,
|
| 47 |
+
0.0,
|
| 48 |
+
0.0
|
| 49 |
+
],
|
| 50 |
+
"q01": [
|
| 51 |
+
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