Add files using upload-large-folder tool
Browse files- .gitattributes +15 -0
- 221700/.hydra/config.yaml +350 -0
- 221700/.hydra/hydra.yaml +169 -0
- 221700/.hydra/overrides.yaml +3 -0
- 221700/eval_policy.log +15 -0
- 221701/.hydra/config.yaml +350 -0
- 221701/.hydra/hydra.yaml +169 -0
- 221701/.hydra/overrides.yaml +3 -0
- 221701/episode_rosbags/aligned_depth_to_color_K.npy +3 -0
- 221701/episode_rosbags/cam_tf_world.npy +3 -0
- 221701/episode_rosbags/color_K.npy +3 -0
- 221701/episode_rosbags/depth_K.npy +3 -0
- 221701/episode_rosbags/episode_0_2024-12-17-22-17-28.bag +3 -0
- 221701/episode_rosbags/episode_1_2024-12-17-22-18-07.bag +3 -0
- 221701/episode_rosbags/episode_2_2024-12-17-22-18-55.bag +3 -0
- 221701/episode_rosbags/episode_3_2024-12-17-22-19-40.bag +3 -0
- 221701/episode_rosbags/episode_4_2024-12-17-22-20-30.bag +3 -0
- 221701/eval_robot.log +12 -0
- 221701/eval_video/0_eval.mp4 +3 -0
- 221701/eval_video/1_eval.mp4 +3 -0
- 221701/eval_video/2_eval.mp4 +3 -0
- 221701/eval_video/3_eval.mp4 +3 -0
- 221701/eval_video/4_eval.mp4 +3 -0
- 221701/tb/events.out.tfevents.1734491828.leonmkim-ROG-Strix-G15CS-G15CS.84391.0 +3 -0
- 221701/wandb/debug-internal.log +681 -0
- 221701/wandb/debug.log +31 -0
- 221701/wandb/run-20241217_221707-sqbcnf7o/files/code/FISH/eval_robot.py +512 -0
- 221701/wandb/run-20241217_221707-sqbcnf7o/files/config.yaml +891 -0
- 221701/wandb/run-20241217_221707-sqbcnf7o/files/diff.patch +195 -0
- 221701/wandb/run-20241217_221707-sqbcnf7o/files/media/videos/eval/0_eval_0_886132ad98d0c31f9311.mp4 +3 -0
- 221701/wandb/run-20241217_221707-sqbcnf7o/files/media/videos/eval/1_eval_1_c21bfe5dd150e694f7bd.mp4 +3 -0
- 221701/wandb/run-20241217_221707-sqbcnf7o/files/media/videos/eval/2_eval_2_312f8f530abaf399946b.mp4 +3 -0
- 221701/wandb/run-20241217_221707-sqbcnf7o/files/media/videos/eval/3_eval_3_91b538bdbc0a7862dd54.mp4 +3 -0
- 221701/wandb/run-20241217_221707-sqbcnf7o/files/media/videos/eval/4_eval_4_fdb67280e4956e7c7ab4.mp4 +3 -0
- 221701/wandb/run-20241217_221707-sqbcnf7o/files/output.log +223 -0
- 221701/wandb/run-20241217_221707-sqbcnf7o/files/requirements.txt +339 -0
- 221701/wandb/run-20241217_221707-sqbcnf7o/files/wandb-metadata.json +92 -0
- 221701/wandb/run-20241217_221707-sqbcnf7o/files/wandb-summary.json +1 -0
- 221701/wandb/run-20241217_221707-sqbcnf7o/logs/debug-internal.log +681 -0
- 221701/wandb/run-20241217_221707-sqbcnf7o/logs/debug.log +31 -0
- 221701/wandb/run-20241217_221707-sqbcnf7o/run-sqbcnf7o.wandb +0 -0
- config.yaml +546 -0
.gitattributes
CHANGED
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@@ -33,3 +33,18 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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221701/wandb/run-20241217_221707-sqbcnf7o/files/media/videos/eval/1_eval_1_c21bfe5dd150e694f7bd.mp4 filter=lfs diff=lfs merge=lfs -text
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221701/eval_video/1_eval.mp4 filter=lfs diff=lfs merge=lfs -text
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221701/wandb/run-20241217_221707-sqbcnf7o/files/media/videos/eval/0_eval_0_886132ad98d0c31f9311.mp4 filter=lfs diff=lfs merge=lfs -text
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+
221701/wandb/run-20241217_221707-sqbcnf7o/files/media/videos/eval/3_eval_3_91b538bdbc0a7862dd54.mp4 filter=lfs diff=lfs merge=lfs -text
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221701/wandb/run-20241217_221707-sqbcnf7o/files/media/videos/eval/2_eval_2_312f8f530abaf399946b.mp4 filter=lfs diff=lfs merge=lfs -text
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221701/eval_video/3_eval.mp4 filter=lfs diff=lfs merge=lfs -text
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221701/wandb/run-20241217_221707-sqbcnf7o/files/media/videos/eval/4_eval_4_fdb67280e4956e7c7ab4.mp4 filter=lfs diff=lfs merge=lfs -text
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221701/eval_video/4_eval.mp4 filter=lfs diff=lfs merge=lfs -text
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221701/eval_video/0_eval.mp4 filter=lfs diff=lfs merge=lfs -text
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221701/eval_video/2_eval.mp4 filter=lfs diff=lfs merge=lfs -text
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221701/episode_rosbags/episode_1_2024-12-17-22-18-07.bag filter=lfs diff=lfs merge=lfs -text
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221701/episode_rosbags/episode_3_2024-12-17-22-19-40.bag filter=lfs diff=lfs merge=lfs -text
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221701/episode_rosbags/episode_2_2024-12-17-22-18-55.bag filter=lfs diff=lfs merge=lfs -text
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221701/episode_rosbags/episode_0_2024-12-17-22-17-28.bag filter=lfs diff=lfs merge=lfs -text
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221701/episode_rosbags/episode_4_2024-12-17-22-20-30.bag filter=lfs diff=lfs merge=lfs -text
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221700/.hydra/config.yaml
ADDED
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|
| 1 |
+
root_dir: /home/${oc.env:USER}/fish_leon
|
| 2 |
+
nstep: 3
|
| 3 |
+
seed: 41
|
| 4 |
+
dataset_shuffle_seed: ${seed}
|
| 5 |
+
device: cuda
|
| 6 |
+
save_video: true
|
| 7 |
+
save_buffer: true
|
| 8 |
+
use_tb: true
|
| 9 |
+
baseline: false
|
| 10 |
+
use_wandb: true
|
| 11 |
+
eval: true
|
| 12 |
+
process_contact_features: ${eval}
|
| 13 |
+
obs_type: pixels
|
| 14 |
+
use_color: true
|
| 15 |
+
use_depth: true
|
| 16 |
+
use_masks: false
|
| 17 |
+
mask_list:
|
| 18 |
+
- EE_obj_mask
|
| 19 |
+
mask_representation: channels
|
| 20 |
+
crop_hw:
|
| 21 |
+
- 144
|
| 22 |
+
- 144
|
| 23 |
+
crop_down_offset: 48
|
| 24 |
+
color_crop_type: null
|
| 25 |
+
depth_crop_type: null
|
| 26 |
+
segmask_crop_type: null
|
| 27 |
+
add_crop_binary_mask: false
|
| 28 |
+
add_coord_conv_map: false
|
| 29 |
+
use_context_color: false
|
| 30 |
+
use_context_depth: false
|
| 31 |
+
use_context_segmask: false
|
| 32 |
+
context_color_crop_type: null
|
| 33 |
+
context_depth_crop_type: null
|
| 34 |
+
context_segmask_crop_type: null
|
| 35 |
+
context_add_crop_binary_mask: false
|
| 36 |
+
context_add_coord_conv_map: false
|
| 37 |
+
use_contact_map: false
|
| 38 |
+
use_sdf_maps: false
|
| 39 |
+
use_normals_maps: false
|
| 40 |
+
which_objects: both
|
| 41 |
+
max_contact_prob: 0.1
|
| 42 |
+
max_depth: 2.0
|
| 43 |
+
grasped_dtc_max_value: 0.105
|
| 44 |
+
env_dtc_max_value: 0.425
|
| 45 |
+
grasped_normals_mask_max_dtc_value: 0.105
|
| 46 |
+
env_normals_mask_max_dtc_value: 0.425
|
| 47 |
+
clamp_dtc: true
|
| 48 |
+
dtc_adaptive_normalization: false
|
| 49 |
+
mask_normals_within_sdf: true
|
| 50 |
+
adaptive_normals_mask: true
|
| 51 |
+
learnable_contact_preprocess_params: false
|
| 52 |
+
contact_model_name: local_multitask_outhd64all_home_crop_h144w144d48_ctxt_seed_183386_epoch_9
|
| 53 |
+
contact_estimation_model_ckpt_path: ~/fish_leon/contact_estimation/artifacts/175604_2/checkpoints/epoch=09-val_loss=0.00.ckpt
|
| 54 |
+
num_eval: 5
|
| 55 |
+
debug_timestamps: false
|
| 56 |
+
open_loop: false
|
| 57 |
+
action_trajectories: true
|
| 58 |
+
stop_after_action: false
|
| 59 |
+
interpolation_frequency: 25
|
| 60 |
+
policy_frequency: 5
|
| 61 |
+
wait_for_new_camera_frames: true
|
| 62 |
+
random_start: false
|
| 63 |
+
eval_starts: ${root_dir}/FISH/eval_starts/${suite.name}_${obs_type}/${task_name}
|
| 64 |
+
train_demo_idxs_list_or_num: null
|
| 65 |
+
num_valid_demos: null
|
| 66 |
+
val_num_groups: 3
|
| 67 |
+
name_of_expert_demo: 112_240x320_all_twodim_left_to_right_annotated_start_idx_5hz_zstd7_EE_pxl_coords_expert_demos_imp_act
|
| 68 |
+
expert_dataset_dirpath: ${root_dir}/FISH/expert_demos/${suite.name}/${task_name}/${name_of_expert_demo}
|
| 69 |
+
expert_dataset: ${expert_dataset_dirpath}/demos.zarr
|
| 70 |
+
action_key: ${oc.if_else:${action_trajectories}, 'action_trajectory_${interpolation_frequency}hz',
|
| 71 |
+
'action'}
|
| 72 |
+
semantic_demo_grouping_name: semantic_demo_grouping.yaml
|
| 73 |
+
semantic_demo_grouping: ${expert_dataset_dirpath}/${semantic_demo_grouping_name}
|
| 74 |
+
expert_dataset_config: ${expert_dataset_dirpath}/demo_config.yaml
|
| 75 |
+
bc_regularize: false
|
| 76 |
+
bc_weight_type: qfilter
|
| 77 |
+
load_checkpoint: ${agent.load_checkpoint}
|
| 78 |
+
wandb_run_id: '511_0'
|
| 79 |
+
true_action_history: false
|
| 80 |
+
wandb_notes: null
|
| 81 |
+
checkpoint_epoch: 12000
|
| 82 |
+
load_residual_weight: false
|
| 83 |
+
checkpoint_root_dir: /home/${oc.env:USER}/fish_leon/FISH
|
| 84 |
+
checkpoint_weight_dir: ${checkpoint_root_dir}/exp_local/${suite.name}_${obs_type}/${task_name}/${wandb_run_id}
|
| 85 |
+
residual_weight: ${root_dir}/FISH/weights/${suite.name}_${obs_type}/${task_name}/weight.pt
|
| 86 |
+
experiment_dir: ./exp_local/${suite.name}_${obs_type}/${task_name}/${wandb_run_id}
|
| 87 |
+
final_experiment_dir: ${experiment_dir}/${now:%H%M%S}
|
| 88 |
+
agent:
|
| 89 |
+
_target_: agent.diffusion_policy.DiffusionPolicyAgent
|
| 90 |
+
name: diffusion_policy
|
| 91 |
+
load_checkpoint: ${eval}
|
| 92 |
+
device: ${device}
|
| 93 |
+
n_obs_steps: ${.config.policy_cfg.n_obs_steps}
|
| 94 |
+
suite_name: ${suite.name}
|
| 95 |
+
obs_type: ${obs_type}
|
| 96 |
+
enable_arm: ${eval}
|
| 97 |
+
enable_camera: ${eval}
|
| 98 |
+
use_tb: ${use_tb}
|
| 99 |
+
desired_image_shape:
|
| 100 |
+
- 13
|
| 101 |
+
- 180
|
| 102 |
+
- 240
|
| 103 |
+
orig_cam_shape:
|
| 104 |
+
- 3
|
| 105 |
+
- 240
|
| 106 |
+
- 320
|
| 107 |
+
config:
|
| 108 |
+
_target_: agent.diffusion_policy.DiffusionPolicyAgentConfig
|
| 109 |
+
compile: false
|
| 110 |
+
device: ${device}
|
| 111 |
+
cam_resize_shape: ${agent.desired_image_shape}
|
| 112 |
+
orig_cam_shape: ${agent.orig_cam_shape}
|
| 113 |
+
policy_frequency: ${policy_frequency}
|
| 114 |
+
interpolation_frequency: ${interpolation_frequency}
|
| 115 |
+
policy_cfg:
|
| 116 |
+
_target_: lerobot.common.policies.diffusion.configuration_diffusion.DiffusionConfig
|
| 117 |
+
n_obs_steps: 1
|
| 118 |
+
horizon: 36
|
| 119 |
+
n_action_steps: ${agent.config.policy_cfg.horizon}
|
| 120 |
+
input_shapes:
|
| 121 |
+
observation.image: ${agent.config.cam_resize_shape}
|
| 122 |
+
context_observation.image: ${agent.config.cam_resize_shape}
|
| 123 |
+
observation.state:
|
| 124 |
+
- 8
|
| 125 |
+
observation.action_history:
|
| 126 |
+
- 7
|
| 127 |
+
output_shapes:
|
| 128 |
+
action:
|
| 129 |
+
- 7
|
| 130 |
+
input_normalization_modes:
|
| 131 |
+
observation.image: mean_std
|
| 132 |
+
observation.state: min_max
|
| 133 |
+
observation.action_history: min_max
|
| 134 |
+
output_normalization_modes:
|
| 135 |
+
action: min_max
|
| 136 |
+
vision_backbone: resnet18
|
| 137 |
+
pretrained_backbone_weights: null
|
| 138 |
+
transforms:
|
| 139 |
+
- _target_: torchaug.transforms.RandomAffine
|
| 140 |
+
degrees:
|
| 141 |
+
- -5
|
| 142 |
+
- 5
|
| 143 |
+
translate:
|
| 144 |
+
- 0.05
|
| 145 |
+
- 0.05
|
| 146 |
+
batch_transform: true
|
| 147 |
+
num_chunks: -1
|
| 148 |
+
batch_inplace: true
|
| 149 |
+
- _target_: torchaug.transforms.RandomColorJitter
|
| 150 |
+
brightness: 0.3
|
| 151 |
+
contrast: 0.4
|
| 152 |
+
saturation: 0.5
|
| 153 |
+
hue: 0.08
|
| 154 |
+
batch_transform: true
|
| 155 |
+
num_chunks: -1
|
| 156 |
+
batch_inplace: true
|
| 157 |
+
use_group_norm: true
|
| 158 |
+
spatial_softmax_num_keypoints: 32
|
| 159 |
+
action_history_encoder_config:
|
| 160 |
+
_target_: lerobot.common.policies.diffusion.configuration_diffusion.Unet1dEncoderConfig
|
| 161 |
+
in_channels: 7
|
| 162 |
+
out_channels: 32
|
| 163 |
+
history_length: ${agent.config.policy_cfg.n_action_steps}
|
| 164 |
+
kernel_size: ${agent.config.policy_cfg.kernel_size}
|
| 165 |
+
downsample_kernel_size: 3
|
| 166 |
+
downsample_stride: 2
|
| 167 |
+
downsample_padding: 1
|
| 168 |
+
down_dims:
|
| 169 |
+
- 256
|
| 170 |
+
- 512
|
| 171 |
+
- 1024
|
| 172 |
+
kernel_size: 5
|
| 173 |
+
n_groups: 8
|
| 174 |
+
diffusion_step_embed_dim: 128
|
| 175 |
+
use_film_scale_modulation: true
|
| 176 |
+
noise_scheduler_type: DDIM
|
| 177 |
+
beta_schedule: squaredcos_cap_v2
|
| 178 |
+
beta_start: 0.0001
|
| 179 |
+
beta_end: 0.02
|
| 180 |
+
prediction_type: epsilon
|
| 181 |
+
clip_sample: true
|
| 182 |
+
clip_sample_range: 1.0
|
| 183 |
+
num_train_timesteps: 50
|
| 184 |
+
num_inference_steps: 10
|
| 185 |
+
do_mask_loss_for_padding: false
|
| 186 |
+
train_cfg:
|
| 187 |
+
_target_: utils.TrainConfig
|
| 188 |
+
lr: 0.0001
|
| 189 |
+
lr_scheduler: cosine
|
| 190 |
+
lr_warmup_steps: 500
|
| 191 |
+
adam_betas:
|
| 192 |
+
- 0.95
|
| 193 |
+
- 0.999
|
| 194 |
+
adam_eps: 1.0e-08
|
| 195 |
+
adam_weight_decay: 1.0e-06
|
| 196 |
+
grad_clip_norm: 10
|
| 197 |
+
offline_steps: ${num_train_frames_diffusion}
|
| 198 |
+
use_amp: true
|
| 199 |
+
observation_cfg:
|
| 200 |
+
_target_: agent.encoder.VisualFeatureSet
|
| 201 |
+
use_depth: ${use_depth}
|
| 202 |
+
use_color: ${use_color}
|
| 203 |
+
mask_input_dict:
|
| 204 |
+
_target_: agent.encoder.MaskInputDict
|
| 205 |
+
enable: ${use_masks}
|
| 206 |
+
representation: ${mask_representation}
|
| 207 |
+
mask_list: ${mask_list}
|
| 208 |
+
crop_input_config:
|
| 209 |
+
_target_: agent.encoder.CropInputConfig
|
| 210 |
+
color_crop_type: ${color_crop_type}
|
| 211 |
+
depth_crop_type: ${depth_crop_type}
|
| 212 |
+
segmask_crop_type: ${segmask_crop_type}
|
| 213 |
+
crop_hw: ${crop_hw}
|
| 214 |
+
crop_down_offset: ${crop_down_offset}
|
| 215 |
+
add_crop_binary_mask: ${add_crop_binary_mask}
|
| 216 |
+
add_coord_conv_map: ${add_coord_conv_map}
|
| 217 |
+
context_input_config:
|
| 218 |
+
_target_: agent.encoder.ContextInputConfig
|
| 219 |
+
use_color: ${use_context_color}
|
| 220 |
+
use_depth: ${use_context_depth}
|
| 221 |
+
mask_input_dict:
|
| 222 |
+
_target_: agent.encoder.MaskInputDict
|
| 223 |
+
enable: ${use_context_segmask}
|
| 224 |
+
representation: ${mask_representation}
|
| 225 |
+
mask_list: ${mask_list}
|
| 226 |
+
crop_input_config:
|
| 227 |
+
_target_: agent.encoder.CropInputConfig
|
| 228 |
+
color_crop_type: ${context_color_crop_type}
|
| 229 |
+
depth_crop_type: ${context_depth_crop_type}
|
| 230 |
+
segmask_crop_type: ${context_segmask_crop_type}
|
| 231 |
+
crop_hw: ${crop_hw}
|
| 232 |
+
crop_down_offset: ${crop_down_offset}
|
| 233 |
+
add_crop_binary_mask: ${context_add_crop_binary_mask}
|
| 234 |
+
add_coord_conv_map: ${context_add_coord_conv_map}
|
| 235 |
+
mask_soft_approx_scheduler_config:
|
| 236 |
+
_target_: agent.encoder.MaskSoftApproxSchedulerConfig
|
| 237 |
+
num_steps: 40000
|
| 238 |
+
initial_value: 10.0
|
| 239 |
+
final_value: 1000.0
|
| 240 |
+
interpolation_scheme: constant
|
| 241 |
+
use_contact_map: ${use_contact_map}
|
| 242 |
+
use_sdf_maps: ${use_sdf_maps}
|
| 243 |
+
use_normals_maps: ${use_normals_maps}
|
| 244 |
+
which_objects: ${which_objects}
|
| 245 |
+
grasped_dtc_max_value: ${grasped_dtc_max_value}
|
| 246 |
+
env_dtc_max_value: ${env_dtc_max_value}
|
| 247 |
+
grasped_normals_mask_max_dtc_value: ${grasped_normals_mask_max_dtc_value}
|
| 248 |
+
env_normals_mask_max_dtc_value: ${env_normals_mask_max_dtc_value}
|
| 249 |
+
clamp_dtc: ${clamp_dtc}
|
| 250 |
+
max_contact_prob: ${max_contact_prob}
|
| 251 |
+
mask_normals_within_sdf: ${mask_normals_within_sdf}
|
| 252 |
+
dtc_adaptive_normalization: ${dtc_adaptive_normalization}
|
| 253 |
+
adaptive_normals_mask: ${adaptive_normals_mask}
|
| 254 |
+
max_depth: ${max_depth}
|
| 255 |
+
image_shape: ${agent.desired_image_shape}
|
| 256 |
+
learnable_contact_preprocess_params: ${learnable_contact_preprocess_params}
|
| 257 |
+
learning_rate: ${agent.config.train_cfg.lr}
|
| 258 |
+
weight_decay: 0.0
|
| 259 |
+
contact_model_name: ${contact_model_name}
|
| 260 |
+
zero_centered: false
|
| 261 |
+
suite:
|
| 262 |
+
suite: frankagym
|
| 263 |
+
name: frankagym
|
| 264 |
+
frame_stack: ${agent.n_obs_steps}
|
| 265 |
+
action_repeat: 1
|
| 266 |
+
discount: 0.99
|
| 267 |
+
hidden_dim: 1024
|
| 268 |
+
num_train_frames: 2010
|
| 269 |
+
num_seed_frames: 260
|
| 270 |
+
num_train_epochs: 5000
|
| 271 |
+
validate_every_epochs: 100
|
| 272 |
+
validate_diffusion_on_action_loss_every_epochs: 500
|
| 273 |
+
train_eval_diffusion_on_action_loss_every_epochs: 500
|
| 274 |
+
check_topk_every_epochs: 10
|
| 275 |
+
save_snapshot_every_epochs: 5000
|
| 276 |
+
eval_every_frames: 2000
|
| 277 |
+
num_eval_episodes: 5
|
| 278 |
+
save_snapshot: true
|
| 279 |
+
wait_for_user_to_start_episode: true
|
| 280 |
+
task_make_fn:
|
| 281 |
+
_target_: suite.frankagym.make
|
| 282 |
+
name: ${task_name}
|
| 283 |
+
height: 240
|
| 284 |
+
width: 320
|
| 285 |
+
frame_stack: ${suite.frame_stack}
|
| 286 |
+
action_repeat: ${suite.action_repeat}
|
| 287 |
+
seed: ${seed}
|
| 288 |
+
enable_arm: ${agent.enable_arm}
|
| 289 |
+
enable_gripper: ${enable_gripper}
|
| 290 |
+
start_with_gripper_open: ${start_with_gripper_open}
|
| 291 |
+
enable_camera: ${agent.enable_camera}
|
| 292 |
+
path_to_depth_extrinsics: ${path_to_depth_extrinsics}
|
| 293 |
+
contact_estimation_model_ckpt_path: ${contact_estimation_model_ckpt_path}
|
| 294 |
+
x_limit: ${x_limit}
|
| 295 |
+
y_limit: ${y_limit}
|
| 296 |
+
z_limit: ${z_limit}
|
| 297 |
+
device: ${device}
|
| 298 |
+
interpolation_frequency: ${interpolation_frequency}
|
| 299 |
+
policy_frequency: ${policy_frequency}
|
| 300 |
+
debug_timestamps: ${debug_timestamps}
|
| 301 |
+
stop_after_action: ${stop_after_action}
|
| 302 |
+
open_loop: ${open_loop}
|
| 303 |
+
wait_for_new_camera_frames: ${wait_for_new_camera_frames}
|
| 304 |
+
action_key: ${action_key}
|
| 305 |
+
action_trajectory_horizon: ${agent.config.policy_cfg.horizon}
|
| 306 |
+
action_trajectories: ${action_trajectories}
|
| 307 |
+
path_to_zarr_dataset: ${expert_dataset}
|
| 308 |
+
agent_policy_cfg: ???
|
| 309 |
+
true_action_history: ${true_action_history}
|
| 310 |
+
num_train_frames_bc: 50000
|
| 311 |
+
num_train_frames_drq: 1100000
|
| 312 |
+
stddev_schedule_drq: linear(1.0,0.1,100000)
|
| 313 |
+
task_name: FrankaInsertion-v1
|
| 314 |
+
num_train_frames_vinn: 25000
|
| 315 |
+
num_train_frames_diffusion: 1000000
|
| 316 |
+
num_train_epochs_bc: 5000
|
| 317 |
+
num_train_epochs_diffusion: 5000
|
| 318 |
+
validate_every_epochs_bc: 5
|
| 319 |
+
validate_every_epochs_diffusion: 25
|
| 320 |
+
validate_diffusion_on_action_loss_every_epochs: 50
|
| 321 |
+
train_eval_diffusion_on_action_loss_every_epochs: 500
|
| 322 |
+
check_topk_every_epochs: 5
|
| 323 |
+
check_topk_every_epochs_diffusion: ${validate_diffusion_on_action_loss_every_epochs}
|
| 324 |
+
save_snapshot_every_epochs_diffusion: 5000
|
| 325 |
+
x_limit:
|
| 326 |
+
- 0.2
|
| 327 |
+
- 0.7
|
| 328 |
+
y_limit:
|
| 329 |
+
- -0.4
|
| 330 |
+
- 0.4
|
| 331 |
+
z_limit:
|
| 332 |
+
- -0.05
|
| 333 |
+
- 0.55
|
| 334 |
+
home_displacement:
|
| 335 |
+
- 0.55
|
| 336 |
+
- 0.0
|
| 337 |
+
- 0.55
|
| 338 |
+
- 180.0
|
| 339 |
+
- 0.0
|
| 340 |
+
- 0.0
|
| 341 |
+
enable_gripper: true
|
| 342 |
+
start_with_gripper_open: true
|
| 343 |
+
offset_mask:
|
| 344 |
+
- 1
|
| 345 |
+
- 1
|
| 346 |
+
- 1
|
| 347 |
+
- 1
|
| 348 |
+
- 1
|
| 349 |
+
- 1
|
| 350 |
+
path_to_depth_extrinsics: ~/fish_leon/FISH/cfgs/camera_poses/camera_poses_L515/20240904-122305/color_tf_world.npy
|
221700/.hydra/hydra.yaml
ADDED
|
@@ -0,0 +1,169 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
hydra:
|
| 2 |
+
run:
|
| 3 |
+
dir: ${final_experiment_dir}
|
| 4 |
+
sweep:
|
| 5 |
+
dir: ${final_experiment_dir}
|
| 6 |
+
subdir: ${hydra.job.num}
|
| 7 |
+
launcher:
|
| 8 |
+
submitit_folder: ${final_experiment_dir}/.slurm
|
| 9 |
+
timeout_min: 60
|
| 10 |
+
cpus_per_task: null
|
| 11 |
+
gpus_per_node: null
|
| 12 |
+
tasks_per_node: 1
|
| 13 |
+
mem_gb: null
|
| 14 |
+
nodes: 1
|
| 15 |
+
name: ${hydra.job.name}
|
| 16 |
+
stderr_to_stdout: false
|
| 17 |
+
_target_: hydra_plugins.hydra_submitit_launcher.submitit_launcher.LocalLauncher
|
| 18 |
+
sweeper:
|
| 19 |
+
_target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
|
| 20 |
+
max_batch_size: null
|
| 21 |
+
params: null
|
| 22 |
+
help:
|
| 23 |
+
app_name: ${hydra.job.name}
|
| 24 |
+
header: '${hydra.help.app_name} is powered by Hydra.
|
| 25 |
+
|
| 26 |
+
'
|
| 27 |
+
footer: 'Powered by Hydra (https://hydra.cc)
|
| 28 |
+
|
| 29 |
+
Use --hydra-help to view Hydra specific help
|
| 30 |
+
|
| 31 |
+
'
|
| 32 |
+
template: '${hydra.help.header}
|
| 33 |
+
|
| 34 |
+
== Configuration groups ==
|
| 35 |
+
|
| 36 |
+
Compose your configuration from those groups (group=option)
|
| 37 |
+
|
| 38 |
+
|
| 39 |
+
$APP_CONFIG_GROUPS
|
| 40 |
+
|
| 41 |
+
|
| 42 |
+
== Config ==
|
| 43 |
+
|
| 44 |
+
Override anything in the config (foo.bar=value)
|
| 45 |
+
|
| 46 |
+
|
| 47 |
+
$CONFIG
|
| 48 |
+
|
| 49 |
+
|
| 50 |
+
${hydra.help.footer}
|
| 51 |
+
|
| 52 |
+
'
|
| 53 |
+
hydra_help:
|
| 54 |
+
template: 'Hydra (${hydra.runtime.version})
|
| 55 |
+
|
| 56 |
+
See https://hydra.cc for more info.
|
| 57 |
+
|
| 58 |
+
|
| 59 |
+
== Flags ==
|
| 60 |
+
|
| 61 |
+
$FLAGS_HELP
|
| 62 |
+
|
| 63 |
+
|
| 64 |
+
== Configuration groups ==
|
| 65 |
+
|
| 66 |
+
Compose your configuration from those groups (For example, append hydra/job_logging=disabled
|
| 67 |
+
to command line)
|
| 68 |
+
|
| 69 |
+
|
| 70 |
+
$HYDRA_CONFIG_GROUPS
|
| 71 |
+
|
| 72 |
+
|
| 73 |
+
Use ''--cfg hydra'' to Show the Hydra config.
|
| 74 |
+
|
| 75 |
+
'
|
| 76 |
+
hydra_help: ???
|
| 77 |
+
hydra_logging:
|
| 78 |
+
version: 1
|
| 79 |
+
formatters:
|
| 80 |
+
simple:
|
| 81 |
+
format: '[%(asctime)s][HYDRA] %(message)s'
|
| 82 |
+
handlers:
|
| 83 |
+
console:
|
| 84 |
+
class: logging.StreamHandler
|
| 85 |
+
formatter: simple
|
| 86 |
+
stream: ext://sys.stdout
|
| 87 |
+
root:
|
| 88 |
+
level: INFO
|
| 89 |
+
handlers:
|
| 90 |
+
- console
|
| 91 |
+
loggers:
|
| 92 |
+
logging_example:
|
| 93 |
+
level: DEBUG
|
| 94 |
+
disable_existing_loggers: false
|
| 95 |
+
job_logging:
|
| 96 |
+
version: 1
|
| 97 |
+
formatters:
|
| 98 |
+
simple:
|
| 99 |
+
format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
|
| 100 |
+
handlers:
|
| 101 |
+
console:
|
| 102 |
+
class: logging.StreamHandler
|
| 103 |
+
formatter: simple
|
| 104 |
+
stream: ext://sys.stdout
|
| 105 |
+
file:
|
| 106 |
+
class: logging.FileHandler
|
| 107 |
+
formatter: simple
|
| 108 |
+
filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
|
| 109 |
+
root:
|
| 110 |
+
level: INFO
|
| 111 |
+
handlers:
|
| 112 |
+
- console
|
| 113 |
+
- file
|
| 114 |
+
disable_existing_loggers: false
|
| 115 |
+
env: {}
|
| 116 |
+
mode: RUN
|
| 117 |
+
searchpath: []
|
| 118 |
+
callbacks: {}
|
| 119 |
+
output_subdir: .hydra
|
| 120 |
+
overrides:
|
| 121 |
+
hydra:
|
| 122 |
+
- hydra.mode=RUN
|
| 123 |
+
task:
|
| 124 |
+
- agent=diffusion
|
| 125 |
+
- suite=frankagym
|
| 126 |
+
- suite/frankagym_task@_global_=insertion
|
| 127 |
+
job:
|
| 128 |
+
name: eval_policy
|
| 129 |
+
chdir: true
|
| 130 |
+
override_dirname: agent=diffusion,suite/frankagym_task@_global_=insertion,suite=frankagym
|
| 131 |
+
id: ???
|
| 132 |
+
num: ???
|
| 133 |
+
config_name: config_eval
|
| 134 |
+
env_set: {}
|
| 135 |
+
env_copy: []
|
| 136 |
+
config:
|
| 137 |
+
override_dirname:
|
| 138 |
+
kv_sep: '='
|
| 139 |
+
item_sep: ','
|
| 140 |
+
exclude_keys: []
|
| 141 |
+
runtime:
|
| 142 |
+
version: 1.3.2
|
| 143 |
+
version_base: '1.1'
|
| 144 |
+
cwd: /home/leonmkim/fish_leon/FISH
|
| 145 |
+
config_sources:
|
| 146 |
+
- path: hydra.conf
|
| 147 |
+
schema: pkg
|
| 148 |
+
provider: hydra
|
| 149 |
+
- path: /home/leonmkim/fish_leon/FISH/cfgs
|
| 150 |
+
schema: file
|
| 151 |
+
provider: main
|
| 152 |
+
- path: ''
|
| 153 |
+
schema: structured
|
| 154 |
+
provider: schema
|
| 155 |
+
output_dir: /home/leonmkim/fish_leon/FISH/exp_local/frankagym_pixels/FrankaInsertion-v1/511_0/221700
|
| 156 |
+
choices:
|
| 157 |
+
suite: frankagym
|
| 158 |
+
suite/frankagym_task@_global_: insertion
|
| 159 |
+
agent: diffusion
|
| 160 |
+
hydra/env: default
|
| 161 |
+
hydra/callbacks: null
|
| 162 |
+
hydra/job_logging: default
|
| 163 |
+
hydra/hydra_logging: default
|
| 164 |
+
hydra/hydra_help: default
|
| 165 |
+
hydra/help: default
|
| 166 |
+
hydra/sweeper: basic
|
| 167 |
+
hydra/launcher: submitit_local
|
| 168 |
+
hydra/output: default
|
| 169 |
+
verbose: false
|
221700/.hydra/overrides.yaml
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
- agent=diffusion
|
| 2 |
+
- suite=frankagym
|
| 3 |
+
- suite/frankagym_task@_global_=insertion
|
221700/eval_policy.log
ADDED
|
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
[2024-12-17 22:17:00,365][py.warnings][WARNING] - /home/leonmkim/fish_leon/FISH/eval_policy.py:428: UserWarning:
|
| 2 |
+
The version_base parameter is not specified.
|
| 3 |
+
Please specify a compatability version level, or None.
|
| 4 |
+
Will assume defaults for version 1.1
|
| 5 |
+
@hydra.main(config_path='cfgs', config_name='config_eval')
|
| 6 |
+
|
| 7 |
+
[2024-12-17 22:17:00,368][py.warnings][WARNING] - /home/leonmkim/fish_leon/FISH/eval_policy.py:365: UserWarning:
|
| 8 |
+
The version_base parameter is not specified.
|
| 9 |
+
Please specify a compatability version level, or None.
|
| 10 |
+
Will assume defaults for version 1.1
|
| 11 |
+
hydra.initialize(
|
| 12 |
+
|
| 13 |
+
[2024-12-17 22:17:03,038][py.warnings][WARNING] - /home/leonmkim/fish_leon/FISH/eval_policy.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
|
| 14 |
+
payload = torch.load(f)
|
| 15 |
+
|
221701/.hydra/config.yaml
ADDED
|
@@ -0,0 +1,350 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
root_dir: /home/${oc.env:USER}/fish_leon
|
| 2 |
+
nstep: 3
|
| 3 |
+
seed: 41
|
| 4 |
+
dataset_shuffle_seed: ${seed}
|
| 5 |
+
device: cuda
|
| 6 |
+
save_video: true
|
| 7 |
+
save_buffer: true
|
| 8 |
+
use_tb: true
|
| 9 |
+
baseline: false
|
| 10 |
+
use_wandb: true
|
| 11 |
+
eval: true
|
| 12 |
+
process_contact_features: ${eval}
|
| 13 |
+
obs_type: pixels
|
| 14 |
+
use_color: true
|
| 15 |
+
use_depth: true
|
| 16 |
+
use_masks: false
|
| 17 |
+
mask_list:
|
| 18 |
+
- EE_obj_mask
|
| 19 |
+
mask_representation: channels
|
| 20 |
+
crop_hw:
|
| 21 |
+
- 144
|
| 22 |
+
- 144
|
| 23 |
+
crop_down_offset: 48
|
| 24 |
+
color_crop_type: null
|
| 25 |
+
depth_crop_type: null
|
| 26 |
+
segmask_crop_type: null
|
| 27 |
+
add_crop_binary_mask: false
|
| 28 |
+
add_coord_conv_map: false
|
| 29 |
+
use_context_color: false
|
| 30 |
+
use_context_depth: false
|
| 31 |
+
use_context_segmask: false
|
| 32 |
+
context_color_crop_type: null
|
| 33 |
+
context_depth_crop_type: null
|
| 34 |
+
context_segmask_crop_type: null
|
| 35 |
+
context_add_crop_binary_mask: false
|
| 36 |
+
context_add_coord_conv_map: false
|
| 37 |
+
use_contact_map: false
|
| 38 |
+
use_sdf_maps: false
|
| 39 |
+
use_normals_maps: false
|
| 40 |
+
which_objects: both
|
| 41 |
+
max_contact_prob: 0.1
|
| 42 |
+
max_depth: 2.0
|
| 43 |
+
grasped_dtc_max_value: 0.105
|
| 44 |
+
env_dtc_max_value: 0.425
|
| 45 |
+
grasped_normals_mask_max_dtc_value: 0.105
|
| 46 |
+
env_normals_mask_max_dtc_value: 0.425
|
| 47 |
+
clamp_dtc: true
|
| 48 |
+
dtc_adaptive_normalization: false
|
| 49 |
+
mask_normals_within_sdf: true
|
| 50 |
+
adaptive_normals_mask: true
|
| 51 |
+
learnable_contact_preprocess_params: false
|
| 52 |
+
contact_model_name: local_multitask_outhd64all_home_crop_h144w144d48_ctxt_seed_183386_epoch_9
|
| 53 |
+
contact_estimation_model_ckpt_path: ~/fish_leon/contact_estimation/artifacts/175604_2/checkpoints/epoch=09-val_loss=0.00.ckpt
|
| 54 |
+
num_eval: 5
|
| 55 |
+
debug_timestamps: false
|
| 56 |
+
open_loop: false
|
| 57 |
+
action_trajectories: true
|
| 58 |
+
stop_after_action: false
|
| 59 |
+
interpolation_frequency: 25
|
| 60 |
+
policy_frequency: 5
|
| 61 |
+
wait_for_new_camera_frames: true
|
| 62 |
+
random_start: false
|
| 63 |
+
eval_starts: ${root_dir}/FISH/eval_starts/${suite.name}_${obs_type}/${task_name}
|
| 64 |
+
train_demo_idxs_list_or_num: null
|
| 65 |
+
num_valid_demos: null
|
| 66 |
+
val_num_groups: 3
|
| 67 |
+
name_of_expert_demo: 112_240x320_all_twodim_left_to_right_annotated_start_idx_5hz_zstd7_EE_pxl_coords_expert_demos_imp_act
|
| 68 |
+
expert_dataset_dirpath: ${root_dir}/FISH/expert_demos/${suite.name}/${task_name}/${name_of_expert_demo}
|
| 69 |
+
expert_dataset: ${expert_dataset_dirpath}/demos.zarr
|
| 70 |
+
action_key: ${oc.if_else:${action_trajectories}, 'action_trajectory_${interpolation_frequency}hz',
|
| 71 |
+
'action'}
|
| 72 |
+
semantic_demo_grouping_name: semantic_demo_grouping.yaml
|
| 73 |
+
semantic_demo_grouping: ${expert_dataset_dirpath}/${semantic_demo_grouping_name}
|
| 74 |
+
expert_dataset_config: ${expert_dataset_dirpath}/demo_config.yaml
|
| 75 |
+
bc_regularize: false
|
| 76 |
+
bc_weight_type: qfilter
|
| 77 |
+
load_checkpoint: ${agent.load_checkpoint}
|
| 78 |
+
wandb_run_id: '511_0'
|
| 79 |
+
true_action_history: false
|
| 80 |
+
wandb_notes: null
|
| 81 |
+
checkpoint_epoch: 12000
|
| 82 |
+
load_residual_weight: false
|
| 83 |
+
checkpoint_root_dir: /home/${oc.env:USER}/fish_leon/FISH
|
| 84 |
+
checkpoint_weight_dir: ${checkpoint_root_dir}/exp_local/${suite.name}_${obs_type}/${task_name}/${wandb_run_id}
|
| 85 |
+
residual_weight: ${root_dir}/FISH/weights/${suite.name}_${obs_type}/${task_name}/weight.pt
|
| 86 |
+
experiment_dir: ./exp_local/${suite.name}_${obs_type}/${task_name}/${wandb_run_id}
|
| 87 |
+
final_experiment_dir: ${experiment_dir}/${now:%H%M%S}
|
| 88 |
+
agent:
|
| 89 |
+
_target_: agent.diffusion_policy.DiffusionPolicyAgent
|
| 90 |
+
name: diffusion_policy
|
| 91 |
+
load_checkpoint: ${eval}
|
| 92 |
+
device: ${device}
|
| 93 |
+
n_obs_steps: ${.config.policy_cfg.n_obs_steps}
|
| 94 |
+
suite_name: ${suite.name}
|
| 95 |
+
obs_type: ${obs_type}
|
| 96 |
+
enable_arm: ${eval}
|
| 97 |
+
enable_camera: ${eval}
|
| 98 |
+
use_tb: ${use_tb}
|
| 99 |
+
desired_image_shape:
|
| 100 |
+
- 13
|
| 101 |
+
- 180
|
| 102 |
+
- 240
|
| 103 |
+
orig_cam_shape:
|
| 104 |
+
- 3
|
| 105 |
+
- 240
|
| 106 |
+
- 320
|
| 107 |
+
config:
|
| 108 |
+
_target_: agent.diffusion_policy.DiffusionPolicyAgentConfig
|
| 109 |
+
compile: false
|
| 110 |
+
device: ${device}
|
| 111 |
+
cam_resize_shape: ${agent.desired_image_shape}
|
| 112 |
+
orig_cam_shape: ${agent.orig_cam_shape}
|
| 113 |
+
policy_frequency: ${policy_frequency}
|
| 114 |
+
interpolation_frequency: ${interpolation_frequency}
|
| 115 |
+
policy_cfg:
|
| 116 |
+
_target_: lerobot.common.policies.diffusion.configuration_diffusion.DiffusionConfig
|
| 117 |
+
n_obs_steps: 1
|
| 118 |
+
horizon: 36
|
| 119 |
+
n_action_steps: ${agent.config.policy_cfg.horizon}
|
| 120 |
+
input_shapes:
|
| 121 |
+
observation.image: ${agent.config.cam_resize_shape}
|
| 122 |
+
context_observation.image: ${agent.config.cam_resize_shape}
|
| 123 |
+
observation.state:
|
| 124 |
+
- 8
|
| 125 |
+
observation.action_history:
|
| 126 |
+
- 7
|
| 127 |
+
output_shapes:
|
| 128 |
+
action:
|
| 129 |
+
- 7
|
| 130 |
+
input_normalization_modes:
|
| 131 |
+
observation.image: mean_std
|
| 132 |
+
observation.state: min_max
|
| 133 |
+
observation.action_history: min_max
|
| 134 |
+
output_normalization_modes:
|
| 135 |
+
action: min_max
|
| 136 |
+
vision_backbone: resnet18
|
| 137 |
+
pretrained_backbone_weights: null
|
| 138 |
+
transforms:
|
| 139 |
+
- _target_: torchaug.transforms.RandomAffine
|
| 140 |
+
degrees:
|
| 141 |
+
- -5
|
| 142 |
+
- 5
|
| 143 |
+
translate:
|
| 144 |
+
- 0.05
|
| 145 |
+
- 0.05
|
| 146 |
+
batch_transform: true
|
| 147 |
+
num_chunks: -1
|
| 148 |
+
batch_inplace: true
|
| 149 |
+
- _target_: torchaug.transforms.RandomColorJitter
|
| 150 |
+
brightness: 0.3
|
| 151 |
+
contrast: 0.4
|
| 152 |
+
saturation: 0.5
|
| 153 |
+
hue: 0.08
|
| 154 |
+
batch_transform: true
|
| 155 |
+
num_chunks: -1
|
| 156 |
+
batch_inplace: true
|
| 157 |
+
use_group_norm: true
|
| 158 |
+
spatial_softmax_num_keypoints: 32
|
| 159 |
+
action_history_encoder_config:
|
| 160 |
+
_target_: lerobot.common.policies.diffusion.configuration_diffusion.Unet1dEncoderConfig
|
| 161 |
+
in_channels: 7
|
| 162 |
+
out_channels: 32
|
| 163 |
+
history_length: ${agent.config.policy_cfg.n_action_steps}
|
| 164 |
+
kernel_size: ${agent.config.policy_cfg.kernel_size}
|
| 165 |
+
downsample_kernel_size: 3
|
| 166 |
+
downsample_stride: 2
|
| 167 |
+
downsample_padding: 1
|
| 168 |
+
down_dims:
|
| 169 |
+
- 256
|
| 170 |
+
- 512
|
| 171 |
+
- 1024
|
| 172 |
+
kernel_size: 5
|
| 173 |
+
n_groups: 8
|
| 174 |
+
diffusion_step_embed_dim: 128
|
| 175 |
+
use_film_scale_modulation: true
|
| 176 |
+
noise_scheduler_type: DDIM
|
| 177 |
+
beta_schedule: squaredcos_cap_v2
|
| 178 |
+
beta_start: 0.0001
|
| 179 |
+
beta_end: 0.02
|
| 180 |
+
prediction_type: epsilon
|
| 181 |
+
clip_sample: true
|
| 182 |
+
clip_sample_range: 1.0
|
| 183 |
+
num_train_timesteps: 50
|
| 184 |
+
num_inference_steps: 10
|
| 185 |
+
do_mask_loss_for_padding: false
|
| 186 |
+
train_cfg:
|
| 187 |
+
_target_: utils.TrainConfig
|
| 188 |
+
lr: 0.0001
|
| 189 |
+
lr_scheduler: cosine
|
| 190 |
+
lr_warmup_steps: 500
|
| 191 |
+
adam_betas:
|
| 192 |
+
- 0.95
|
| 193 |
+
- 0.999
|
| 194 |
+
adam_eps: 1.0e-08
|
| 195 |
+
adam_weight_decay: 1.0e-06
|
| 196 |
+
grad_clip_norm: 10
|
| 197 |
+
offline_steps: ${num_train_frames_diffusion}
|
| 198 |
+
use_amp: true
|
| 199 |
+
observation_cfg:
|
| 200 |
+
_target_: agent.encoder.VisualFeatureSet
|
| 201 |
+
use_depth: ${use_depth}
|
| 202 |
+
use_color: ${use_color}
|
| 203 |
+
mask_input_dict:
|
| 204 |
+
_target_: agent.encoder.MaskInputDict
|
| 205 |
+
enable: ${use_masks}
|
| 206 |
+
representation: ${mask_representation}
|
| 207 |
+
mask_list: ${mask_list}
|
| 208 |
+
crop_input_config:
|
| 209 |
+
_target_: agent.encoder.CropInputConfig
|
| 210 |
+
color_crop_type: ${color_crop_type}
|
| 211 |
+
depth_crop_type: ${depth_crop_type}
|
| 212 |
+
segmask_crop_type: ${segmask_crop_type}
|
| 213 |
+
crop_hw: ${crop_hw}
|
| 214 |
+
crop_down_offset: ${crop_down_offset}
|
| 215 |
+
add_crop_binary_mask: ${add_crop_binary_mask}
|
| 216 |
+
add_coord_conv_map: ${add_coord_conv_map}
|
| 217 |
+
context_input_config:
|
| 218 |
+
_target_: agent.encoder.ContextInputConfig
|
| 219 |
+
use_color: ${use_context_color}
|
| 220 |
+
use_depth: ${use_context_depth}
|
| 221 |
+
mask_input_dict:
|
| 222 |
+
_target_: agent.encoder.MaskInputDict
|
| 223 |
+
enable: ${use_context_segmask}
|
| 224 |
+
representation: ${mask_representation}
|
| 225 |
+
mask_list: ${mask_list}
|
| 226 |
+
crop_input_config:
|
| 227 |
+
_target_: agent.encoder.CropInputConfig
|
| 228 |
+
color_crop_type: ${context_color_crop_type}
|
| 229 |
+
depth_crop_type: ${context_depth_crop_type}
|
| 230 |
+
segmask_crop_type: ${context_segmask_crop_type}
|
| 231 |
+
crop_hw: ${crop_hw}
|
| 232 |
+
crop_down_offset: ${crop_down_offset}
|
| 233 |
+
add_crop_binary_mask: ${context_add_crop_binary_mask}
|
| 234 |
+
add_coord_conv_map: ${context_add_coord_conv_map}
|
| 235 |
+
mask_soft_approx_scheduler_config:
|
| 236 |
+
_target_: agent.encoder.MaskSoftApproxSchedulerConfig
|
| 237 |
+
num_steps: 40000
|
| 238 |
+
initial_value: 10.0
|
| 239 |
+
final_value: 1000.0
|
| 240 |
+
interpolation_scheme: constant
|
| 241 |
+
use_contact_map: ${use_contact_map}
|
| 242 |
+
use_sdf_maps: ${use_sdf_maps}
|
| 243 |
+
use_normals_maps: ${use_normals_maps}
|
| 244 |
+
which_objects: ${which_objects}
|
| 245 |
+
grasped_dtc_max_value: ${grasped_dtc_max_value}
|
| 246 |
+
env_dtc_max_value: ${env_dtc_max_value}
|
| 247 |
+
grasped_normals_mask_max_dtc_value: ${grasped_normals_mask_max_dtc_value}
|
| 248 |
+
env_normals_mask_max_dtc_value: ${env_normals_mask_max_dtc_value}
|
| 249 |
+
clamp_dtc: ${clamp_dtc}
|
| 250 |
+
max_contact_prob: ${max_contact_prob}
|
| 251 |
+
mask_normals_within_sdf: ${mask_normals_within_sdf}
|
| 252 |
+
dtc_adaptive_normalization: ${dtc_adaptive_normalization}
|
| 253 |
+
adaptive_normals_mask: ${adaptive_normals_mask}
|
| 254 |
+
max_depth: ${max_depth}
|
| 255 |
+
image_shape: ${agent.desired_image_shape}
|
| 256 |
+
learnable_contact_preprocess_params: ${learnable_contact_preprocess_params}
|
| 257 |
+
learning_rate: ${agent.config.train_cfg.lr}
|
| 258 |
+
weight_decay: 0.0
|
| 259 |
+
contact_model_name: ${contact_model_name}
|
| 260 |
+
zero_centered: false
|
| 261 |
+
suite:
|
| 262 |
+
suite: frankagym
|
| 263 |
+
name: frankagym
|
| 264 |
+
frame_stack: ${agent.n_obs_steps}
|
| 265 |
+
action_repeat: 1
|
| 266 |
+
discount: 0.99
|
| 267 |
+
hidden_dim: 1024
|
| 268 |
+
num_train_frames: 2010
|
| 269 |
+
num_seed_frames: 260
|
| 270 |
+
num_train_epochs: 5000
|
| 271 |
+
validate_every_epochs: 100
|
| 272 |
+
validate_diffusion_on_action_loss_every_epochs: 500
|
| 273 |
+
train_eval_diffusion_on_action_loss_every_epochs: 500
|
| 274 |
+
check_topk_every_epochs: 10
|
| 275 |
+
save_snapshot_every_epochs: 5000
|
| 276 |
+
eval_every_frames: 2000
|
| 277 |
+
num_eval_episodes: 5
|
| 278 |
+
save_snapshot: true
|
| 279 |
+
wait_for_user_to_start_episode: true
|
| 280 |
+
task_make_fn:
|
| 281 |
+
_target_: suite.frankagym.make
|
| 282 |
+
name: ${task_name}
|
| 283 |
+
height: 240
|
| 284 |
+
width: 320
|
| 285 |
+
frame_stack: ${suite.frame_stack}
|
| 286 |
+
action_repeat: ${suite.action_repeat}
|
| 287 |
+
seed: ${seed}
|
| 288 |
+
enable_arm: ${agent.enable_arm}
|
| 289 |
+
enable_gripper: ${enable_gripper}
|
| 290 |
+
start_with_gripper_open: ${start_with_gripper_open}
|
| 291 |
+
enable_camera: ${agent.enable_camera}
|
| 292 |
+
path_to_depth_extrinsics: ${path_to_depth_extrinsics}
|
| 293 |
+
contact_estimation_model_ckpt_path: ${contact_estimation_model_ckpt_path}
|
| 294 |
+
x_limit: ${x_limit}
|
| 295 |
+
y_limit: ${y_limit}
|
| 296 |
+
z_limit: ${z_limit}
|
| 297 |
+
device: ${device}
|
| 298 |
+
interpolation_frequency: ${interpolation_frequency}
|
| 299 |
+
policy_frequency: ${policy_frequency}
|
| 300 |
+
debug_timestamps: ${debug_timestamps}
|
| 301 |
+
stop_after_action: ${stop_after_action}
|
| 302 |
+
open_loop: ${open_loop}
|
| 303 |
+
wait_for_new_camera_frames: ${wait_for_new_camera_frames}
|
| 304 |
+
action_key: ${action_key}
|
| 305 |
+
action_trajectory_horizon: ${agent.config.policy_cfg.horizon}
|
| 306 |
+
action_trajectories: ${action_trajectories}
|
| 307 |
+
path_to_zarr_dataset: ${expert_dataset}
|
| 308 |
+
agent_policy_cfg: ???
|
| 309 |
+
true_action_history: ${true_action_history}
|
| 310 |
+
num_train_frames_bc: 50000
|
| 311 |
+
num_train_frames_drq: 1100000
|
| 312 |
+
stddev_schedule_drq: linear(1.0,0.1,100000)
|
| 313 |
+
task_name: FrankaInsertion-v1
|
| 314 |
+
num_train_frames_vinn: 25000
|
| 315 |
+
num_train_frames_diffusion: 1000000
|
| 316 |
+
num_train_epochs_bc: 5000
|
| 317 |
+
num_train_epochs_diffusion: 5000
|
| 318 |
+
validate_every_epochs_bc: 5
|
| 319 |
+
validate_every_epochs_diffusion: 25
|
| 320 |
+
validate_diffusion_on_action_loss_every_epochs: 50
|
| 321 |
+
train_eval_diffusion_on_action_loss_every_epochs: 500
|
| 322 |
+
check_topk_every_epochs: 5
|
| 323 |
+
check_topk_every_epochs_diffusion: ${validate_diffusion_on_action_loss_every_epochs}
|
| 324 |
+
save_snapshot_every_epochs_diffusion: 5000
|
| 325 |
+
x_limit:
|
| 326 |
+
- 0.2
|
| 327 |
+
- 0.7
|
| 328 |
+
y_limit:
|
| 329 |
+
- -0.4
|
| 330 |
+
- 0.4
|
| 331 |
+
z_limit:
|
| 332 |
+
- -0.05
|
| 333 |
+
- 0.55
|
| 334 |
+
home_displacement:
|
| 335 |
+
- 0.55
|
| 336 |
+
- 0.0
|
| 337 |
+
- 0.55
|
| 338 |
+
- 180.0
|
| 339 |
+
- 0.0
|
| 340 |
+
- 0.0
|
| 341 |
+
enable_gripper: true
|
| 342 |
+
start_with_gripper_open: true
|
| 343 |
+
offset_mask:
|
| 344 |
+
- 1
|
| 345 |
+
- 1
|
| 346 |
+
- 1
|
| 347 |
+
- 1
|
| 348 |
+
- 1
|
| 349 |
+
- 1
|
| 350 |
+
path_to_depth_extrinsics: ~/fish_leon/FISH/cfgs/camera_poses/camera_poses_L515/20240904-122305/color_tf_world.npy
|
221701/.hydra/hydra.yaml
ADDED
|
@@ -0,0 +1,169 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
hydra:
|
| 2 |
+
run:
|
| 3 |
+
dir: ${final_experiment_dir}
|
| 4 |
+
sweep:
|
| 5 |
+
dir: ${final_experiment_dir}
|
| 6 |
+
subdir: ${hydra.job.num}
|
| 7 |
+
launcher:
|
| 8 |
+
submitit_folder: ${final_experiment_dir}/.slurm
|
| 9 |
+
timeout_min: 60
|
| 10 |
+
cpus_per_task: null
|
| 11 |
+
gpus_per_node: null
|
| 12 |
+
tasks_per_node: 1
|
| 13 |
+
mem_gb: null
|
| 14 |
+
nodes: 1
|
| 15 |
+
name: ${hydra.job.name}
|
| 16 |
+
stderr_to_stdout: false
|
| 17 |
+
_target_: hydra_plugins.hydra_submitit_launcher.submitit_launcher.LocalLauncher
|
| 18 |
+
sweeper:
|
| 19 |
+
_target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
|
| 20 |
+
max_batch_size: null
|
| 21 |
+
params: null
|
| 22 |
+
help:
|
| 23 |
+
app_name: ${hydra.job.name}
|
| 24 |
+
header: '${hydra.help.app_name} is powered by Hydra.
|
| 25 |
+
|
| 26 |
+
'
|
| 27 |
+
footer: 'Powered by Hydra (https://hydra.cc)
|
| 28 |
+
|
| 29 |
+
Use --hydra-help to view Hydra specific help
|
| 30 |
+
|
| 31 |
+
'
|
| 32 |
+
template: '${hydra.help.header}
|
| 33 |
+
|
| 34 |
+
== Configuration groups ==
|
| 35 |
+
|
| 36 |
+
Compose your configuration from those groups (group=option)
|
| 37 |
+
|
| 38 |
+
|
| 39 |
+
$APP_CONFIG_GROUPS
|
| 40 |
+
|
| 41 |
+
|
| 42 |
+
== Config ==
|
| 43 |
+
|
| 44 |
+
Override anything in the config (foo.bar=value)
|
| 45 |
+
|
| 46 |
+
|
| 47 |
+
$CONFIG
|
| 48 |
+
|
| 49 |
+
|
| 50 |
+
${hydra.help.footer}
|
| 51 |
+
|
| 52 |
+
'
|
| 53 |
+
hydra_help:
|
| 54 |
+
template: 'Hydra (${hydra.runtime.version})
|
| 55 |
+
|
| 56 |
+
See https://hydra.cc for more info.
|
| 57 |
+
|
| 58 |
+
|
| 59 |
+
== Flags ==
|
| 60 |
+
|
| 61 |
+
$FLAGS_HELP
|
| 62 |
+
|
| 63 |
+
|
| 64 |
+
== Configuration groups ==
|
| 65 |
+
|
| 66 |
+
Compose your configuration from those groups (For example, append hydra/job_logging=disabled
|
| 67 |
+
to command line)
|
| 68 |
+
|
| 69 |
+
|
| 70 |
+
$HYDRA_CONFIG_GROUPS
|
| 71 |
+
|
| 72 |
+
|
| 73 |
+
Use ''--cfg hydra'' to Show the Hydra config.
|
| 74 |
+
|
| 75 |
+
'
|
| 76 |
+
hydra_help: ???
|
| 77 |
+
hydra_logging:
|
| 78 |
+
version: 1
|
| 79 |
+
formatters:
|
| 80 |
+
simple:
|
| 81 |
+
format: '[%(asctime)s][HYDRA] %(message)s'
|
| 82 |
+
handlers:
|
| 83 |
+
console:
|
| 84 |
+
class: logging.StreamHandler
|
| 85 |
+
formatter: simple
|
| 86 |
+
stream: ext://sys.stdout
|
| 87 |
+
root:
|
| 88 |
+
level: INFO
|
| 89 |
+
handlers:
|
| 90 |
+
- console
|
| 91 |
+
loggers:
|
| 92 |
+
logging_example:
|
| 93 |
+
level: DEBUG
|
| 94 |
+
disable_existing_loggers: false
|
| 95 |
+
job_logging:
|
| 96 |
+
version: 1
|
| 97 |
+
formatters:
|
| 98 |
+
simple:
|
| 99 |
+
format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
|
| 100 |
+
handlers:
|
| 101 |
+
console:
|
| 102 |
+
class: logging.StreamHandler
|
| 103 |
+
formatter: simple
|
| 104 |
+
stream: ext://sys.stdout
|
| 105 |
+
file:
|
| 106 |
+
class: logging.FileHandler
|
| 107 |
+
formatter: simple
|
| 108 |
+
filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
|
| 109 |
+
root:
|
| 110 |
+
level: INFO
|
| 111 |
+
handlers:
|
| 112 |
+
- console
|
| 113 |
+
- file
|
| 114 |
+
disable_existing_loggers: false
|
| 115 |
+
env: {}
|
| 116 |
+
mode: RUN
|
| 117 |
+
searchpath: []
|
| 118 |
+
callbacks: {}
|
| 119 |
+
output_subdir: .hydra
|
| 120 |
+
overrides:
|
| 121 |
+
hydra:
|
| 122 |
+
- hydra.mode=RUN
|
| 123 |
+
task:
|
| 124 |
+
- agent=diffusion
|
| 125 |
+
- suite=frankagym
|
| 126 |
+
- suite/frankagym_task@_global_=insertion
|
| 127 |
+
job:
|
| 128 |
+
name: eval_robot
|
| 129 |
+
chdir: true
|
| 130 |
+
override_dirname: agent=diffusion,suite/frankagym_task@_global_=insertion,suite=frankagym
|
| 131 |
+
id: ???
|
| 132 |
+
num: ???
|
| 133 |
+
config_name: config_eval
|
| 134 |
+
env_set: {}
|
| 135 |
+
env_copy: []
|
| 136 |
+
config:
|
| 137 |
+
override_dirname:
|
| 138 |
+
kv_sep: '='
|
| 139 |
+
item_sep: ','
|
| 140 |
+
exclude_keys: []
|
| 141 |
+
runtime:
|
| 142 |
+
version: 1.3.2
|
| 143 |
+
version_base: '1.1'
|
| 144 |
+
cwd: /home/leonmkim/fish_leon/FISH
|
| 145 |
+
config_sources:
|
| 146 |
+
- path: hydra.conf
|
| 147 |
+
schema: pkg
|
| 148 |
+
provider: hydra
|
| 149 |
+
- path: /home/leonmkim/fish_leon/FISH/cfgs
|
| 150 |
+
schema: file
|
| 151 |
+
provider: main
|
| 152 |
+
- path: ''
|
| 153 |
+
schema: structured
|
| 154 |
+
provider: schema
|
| 155 |
+
output_dir: /home/leonmkim/fish_leon/FISH/exp_local/frankagym_pixels/FrankaInsertion-v1/511_0/221701
|
| 156 |
+
choices:
|
| 157 |
+
suite: frankagym
|
| 158 |
+
suite/frankagym_task@_global_: insertion
|
| 159 |
+
agent: diffusion
|
| 160 |
+
hydra/env: default
|
| 161 |
+
hydra/callbacks: null
|
| 162 |
+
hydra/job_logging: default
|
| 163 |
+
hydra/hydra_logging: default
|
| 164 |
+
hydra/hydra_help: default
|
| 165 |
+
hydra/help: default
|
| 166 |
+
hydra/sweeper: basic
|
| 167 |
+
hydra/launcher: submitit_local
|
| 168 |
+
hydra/output: default
|
| 169 |
+
verbose: false
|
221701/.hydra/overrides.yaml
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
- agent=diffusion
|
| 2 |
+
- suite=frankagym
|
| 3 |
+
- suite/frankagym_task@_global_=insertion
|
221701/episode_rosbags/aligned_depth_to_color_K.npy
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4a962c703d20da282f5e009d432dff51df4ebd22f3386699b6754ea9cfc06a55
|
| 3 |
+
size 200
|
221701/episode_rosbags/cam_tf_world.npy
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:29313ba240dd65ebbc79056d5582a97c9586cf2a1d4a1e0db13b87b49152cc9e
|
| 3 |
+
size 256
|
221701/episode_rosbags/color_K.npy
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4a962c703d20da282f5e009d432dff51df4ebd22f3386699b6754ea9cfc06a55
|
| 3 |
+
size 200
|
221701/episode_rosbags/depth_K.npy
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:cc601d2fecd31c5513c76a88b5d4d8059adc1f92dad682e2d755d89a66d8fdf7
|
| 3 |
+
size 200
|
221701/episode_rosbags/episode_0_2024-12-17-22-17-28.bag
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ef8953ac148986b87c2d4b214a4613f4fcb672077e3a0397cbfe955f6d3e864e
|
| 3 |
+
size 1331933908
|
221701/episode_rosbags/episode_1_2024-12-17-22-18-07.bag
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:973c5409c453f2f75649012234ac21fc1051e9fbc6f4dc7975d57a17b903bacf
|
| 3 |
+
size 1333116690
|
221701/episode_rosbags/episode_2_2024-12-17-22-18-55.bag
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9fbfbbe4082ddeaf93eaf7e56815f20ce0e2a82facddbe125a7a6239247e7449
|
| 3 |
+
size 1337452083
|
221701/episode_rosbags/episode_3_2024-12-17-22-19-40.bag
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:360bfef2d2a69f4ea94560472960cd8d9154d78749622e3b49e488ed763e0c12
|
| 3 |
+
size 1331313864
|
221701/episode_rosbags/episode_4_2024-12-17-22-20-30.bag
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b8d63b5b2a8948ea1883d8319f185a2c256ac3ec6fa690320587357916d6e3ff
|
| 3 |
+
size 1332080944
|
221701/eval_robot.log
ADDED
|
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
[2024-12-17 22:17:01,734][py.warnings][WARNING] - /home/leonmkim/fish_leon/FISH/eval_robot.py:503: UserWarning:
|
| 2 |
+
The version_base parameter is not specified.
|
| 3 |
+
Please specify a compatability version level, or None.
|
| 4 |
+
Will assume defaults for version 1.1
|
| 5 |
+
@hydra.main(config_path='cfgs', config_name='config_eval')
|
| 6 |
+
|
| 7 |
+
[2024-12-17 22:17:01,737][py.warnings][WARNING] - /home/leonmkim/fish_leon/FISH/eval_robot.py:439: UserWarning:
|
| 8 |
+
The version_base parameter is not specified.
|
| 9 |
+
Please specify a compatability version level, or None.
|
| 10 |
+
Will assume defaults for version 1.1
|
| 11 |
+
hydra.initialize(
|
| 12 |
+
|
221701/eval_video/0_eval.mp4
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:886132ad98d0c31f9311d14dc2c5dee96950b1fe323b0a6a400944af3ea141eb
|
| 3 |
+
size 1184434
|
221701/eval_video/1_eval.mp4
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c21bfe5dd150e694f7bd94f2e139debe647342304be95bebc39275ea751bb871
|
| 3 |
+
size 1135643
|
221701/eval_video/2_eval.mp4
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:312f8f530abaf399946b180b4b5ce328adf569df1b7b33eaa17f0cfeedd8eb91
|
| 3 |
+
size 1245998
|
221701/eval_video/3_eval.mp4
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:91b538bdbc0a7862dd5409e3da19096cc22293420c230d1c32a5d9068e4ad636
|
| 3 |
+
size 1283821
|
221701/eval_video/4_eval.mp4
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fdb67280e4956e7c7ab41f1c04fc31828780e6e74dad0aec932ba4621892bbb8
|
| 3 |
+
size 1291419
|
221701/tb/events.out.tfevents.1734491828.leonmkim-ROG-Strix-G15CS-G15CS.84391.0
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f4e5ff7b855161bca4e631495856efcf4706c51d2c3674688926e37d925f9c38
|
| 3 |
+
size 1103
|
221701/wandb/debug-internal.log
ADDED
|
@@ -0,0 +1,681 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
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|
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|
|
|
|
|
|
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|
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|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
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|
|
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|
|
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|
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|
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|
|
|
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|
|
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|
|
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|
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|
|
|
|
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2024-12-17 22:21:20,987 INFO SenderThread:84579 [dir_watcher.py:finish():402] scan save: /home/leonmkim/fish_leon/FISH/exp_local/frankagym_pixels/FrankaInsertion-v1/511_0/221701/wandb/run-20241217_221707-sqbcnf7o/files/output.log output.log
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2024-12-17 22:17:07,582 INFO MainThread:84391 [wandb_setup.py:_flush():76] Current SDK version is 0.17.5
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2024-12-17 22:17:07,582 INFO MainThread:84391 [wandb_setup.py:_flush():76] Configure stats pid to 84391
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2024-12-17 22:17:07,582 INFO MainThread:84391 [wandb_setup.py:_flush():76] Loading settings from /home/leonmkim/.config/wandb/settings
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2024-12-17 22:17:07,582 INFO MainThread:84391 [wandb_setup.py:_flush():76] Loading settings from /home/leonmkim/fish_leon/FISH/exp_local/frankagym_pixels/FrankaInsertion-v1/511_0/221701/wandb/settings
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2024-12-17 22:17:07,582 INFO MainThread:84391 [wandb_setup.py:_flush():76] Loading settings from environment variables: {}
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2024-12-17 22:17:07,583 INFO MainThread:84391 [wandb_setup.py:_flush():76] Inferring run settings from compute environment: {'program_relpath': 'FISH/eval_robot.py', 'program_abspath': '/home/leonmkim/fish_leon/FISH/eval_robot.py', 'program': '/home/leonmkim/fish_leon/FISH/eval_robot.py'}
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2024-12-17 22:17:07,583 INFO MainThread:84391 [wandb_setup.py:_flush():76] Applying login settings: {}
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2024-12-17 22:17:07,583 INFO MainThread:84391 [wandb_init.py:_log_setup():529] Logging user logs to /home/leonmkim/fish_leon/FISH/exp_local/frankagym_pixels/FrankaInsertion-v1/511_0/221701/wandb/run-20241217_221707-sqbcnf7o/logs/debug.log
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2024-12-17 22:17:07,583 INFO MainThread:84391 [wandb_init.py:_log_setup():530] Logging internal logs to /home/leonmkim/fish_leon/FISH/exp_local/frankagym_pixels/FrankaInsertion-v1/511_0/221701/wandb/run-20241217_221707-sqbcnf7o/logs/debug-internal.log
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2024-12-17 22:17:07,583 INFO MainThread:84391 [wandb_init.py:init():569] calling init triggers
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2024-12-17 22:17:07,583 INFO MainThread:84391 [wandb_init.py:init():576] wandb.init called with sweep_config: {}
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config: {'root_dir': '/home/leonmkim/fish_leon', 'replay_buffer_size': 150000, 'replay_buffer_num_workers': 2, 'nstep': 3, 'batch_size': 128, 'seed': 0, 'dataset_shuffle_seed': 0, 'device': 'cuda', 'save_video': True, 'save_train_video': True, 'use_tb': True, 'use_wandb': True, 'wandb_run_id': '511_0', 'wandb_notes': '511_0_', 'eval': True, 'true_action_history': False, 'process_contact_features': True, 'obs_type': 'pixels', 'use_color': True, 'use_depth': True, 'use_masks': False, 'mask_list': ['EE_obj_mask'], 'mask_representation': 'channels', 'crop_hw': [144, 144], 'crop_down_offset': 48, 'color_crop_type': None, 'depth_crop_type': None, 'segmask_crop_type': None, 'add_crop_binary_mask': False, 'add_coord_conv_map': False, 'use_context_color': False, 'use_context_depth': False, 'use_context_segmask': False, 'context_color_crop_type': None, 'context_depth_crop_type': None, 'context_segmask_crop_type': None, 'context_add_crop_binary_mask': False, 'context_add_coord_conv_map': False, 'use_contact_map': False, 'use_sdf_maps': False, 'use_normals_maps': False, 'which_objects': 'both', 'max_contact_prob': 0.1, 'max_depth': 2.0, 'grasped_dtc_max_value': 0.2, 'env_dtc_max_value': 0.4, 'grasped_normals_mask_max_dtc_value': 0.2, 'env_normals_mask_max_dtc_value': 0.4, 'clamp_dtc': True, 'dtc_adaptive_normalization': False, 'mask_normals_within_sdf': True, 'adaptive_normals_mask': True, 'learnable_contact_preprocess_params': True, 'contact_model_name': 'local_multitask_outhd64all_home_crop_h144w144d48_mask_ctxtmask_seed_220979_epoch_9', 'contact_estimation_model_ckpt_path': '~/fish_leon/contact_estimation/artifacts/175604_2/checkpoints/epoch=09-val_loss=0.00.ckpt', 'encoder_type': 'small', 'debug_timestamps': False, 'open_loop': False, 'action_trajectories': True, 'stop_after_action': False, 'interpolation_frequency': 25, 'policy_frequency': 5, 'wait_for_new_camera_frames': True, 'baseline': False, 'train_demo_idxs_list_or_num': -1, 'log_train_every_steps': 25, 'name_of_expert_demo': '112_240x320_all_twodim_left_to_right_annotated_start_idx_5hz_zstd7_EE_pxl_coords_expert_demos_imp_act', 'expert_dataset_dirpath': '/home/leonmkim/fish_leon/FISH/expert_demos/frankagym/FrankaInsertion-v1/112_240x320_all_twodim_left_to_right_annotated_start_idx_5hz_zstd7_EE_pxl_coords_expert_demos_imp_act', 'store_dataset_in_memory': False, 'expert_dataset': '/home/leonmkim/fish_leon/FISH/expert_demos/frankagym/FrankaInsertion-v1/112_240x320_all_twodim_left_to_right_annotated_start_idx_5hz_zstd7_EE_pxl_coords_expert_demos_imp_act/demos.zarr', 'action_key': 'action_trajectory_25hz', 'semantic_demo_grouping_name': 'semantic_demo_grouping.yaml', 'semantic_demo_grouping': '/home/leonmkim/fish_leon/FISH/expert_demos/frankagym/FrankaInsertion-v1/112_240x320_all_twodim_left_to_right_annotated_start_idx_5hz_zstd7_EE_pxl_coords_expert_demos_imp_act/semantic_demo_grouping.yaml', 'include_groups_list': ['electrodyn_twodim'], 'expert_dataset_config': '/home/leonmkim/fish_leon/FISH/expert_demos/frankagym/FrankaInsertion-v1/112_240x320_all_twodim_left_to_right_annotated_start_idx_5hz_zstd7_EE_pxl_coords_expert_demos_imp_act/demo_config.yaml', 'name_of_valid_demo': '112_240x320_all_twodim_left_to_right_annotated_start_idx_5hz_zstd7_EE_pxl_coords_expert_demos_imp_act', 'valid_dataset_dir': '/home/leonmkim/fish_leon/FISH/expert_demos/frankagym/FrankaInsertion-v1/112_240x320_all_twodim_left_to_right_annotated_start_idx_5hz_zstd7_EE_pxl_coords_expert_demos_imp_act/demos.zarr', 'valid_demo_idxs_list_or_num': None, 'val_num_groups': 0, 'load_bc': True, 'checkpoint_epoch_list': [99, 199, 299, 399, 499, 599, 699, 799, 899, 999, 1249, 1499, 1749, 1999, 2999, 3999, 4999, 5999, 6999, 7999, 8999, 9999], 'snapshot_root_dir': '/mnt/kostas-graid/datasets/extrinsic_contact_data/FISH', 'save_snapshot': True, 'save_last_snapshot': True, 'save_snapshot_when_done': True, 'top_k_checkpoints': 5, 'save_snapshot_link_to_weights_dir': 'deprecated', 'bc_regularize': False, 'bc_weight_type': 'qfilter', 'experiment_dir': './exp_local/frankagym_pixels/FrankaInsertion-v1/511_0', 'agent': {'_target_': 'agent.diffusion_policy.DiffusionPolicyAgent', 'name': 'diffusion_policy', 'load_checkpoint': True, 'device': 'cuda', 'n_obs_steps': 1, 'suite_name': 'frankagym', 'obs_type': 'pixels', 'enable_arm': True, 'enable_camera': True, 'use_tb': True, 'desired_image_shape': [13, 180, 240], 'orig_cam_shape': [3, 240, 320], 'config': {'_target_': 'agent.diffusion_policy.DiffusionPolicyAgentConfig', 'compile': False, 'device': 'cuda', 'cam_resize_shape': [13, 180, 240], 'orig_cam_shape': [3, 240, 320], 'policy_frequency': 5, 'interpolation_frequency': 25, 'policy_cfg': {'_target_': 'lerobot.common.policies.diffusion.configuration_diffusion.DiffusionConfig', 'n_obs_steps': 1, 'horizon': 36, 'n_action_steps': 36, 'output_shapes': {'action': [7]}, 'input_normalization_modes': {'observation.image': 'mean_std', 'observation.state': 'min_max', 'observation.action_history': 'min_max'}, 'output_normalization_modes': {'action': 'min_max'}, 'vision_backbone': 'resnet18', 'pretrained_backbone_weights': None, 'transforms': [{'_target_': 'torchaug.transforms.RandomAffine', 'degrees': [-5, 5], 'translate': [0.05, 0.05], 'batch_transform': True, 'num_chunks': -1, 'batch_inplace': True}, {'_target_': 'torchaug.transforms.RandomColorJitter', 'brightness': 0.3, 'contrast': 0.4, 'saturation': 0.5, 'hue': 0.08, 'batch_transform': True, 'num_chunks': -1, 'batch_inplace': True}], 'use_group_norm': True, 'spatial_softmax_num_keypoints': 32, 'action_history_encoder_config': {'_target_': 'lerobot.common.policies.diffusion.configuration_diffusion.Unet1dEncoderConfig', 'in_channels': 7, 'out_channels': 32, 'history_length': 6, 'kernel_size': 5, 'downsample_kernel_size': 3, 'downsample_stride': 2, 'downsample_padding': 1}, 'down_dims': [256, 512, 1024], 'kernel_size': 5, 'n_groups': 8, 'diffusion_step_embed_dim': 128, 'use_film_scale_modulation': True, 'noise_scheduler_type': 'DDIM', 'beta_schedule': 'squaredcos_cap_v2', 'beta_start': 0.0001, 'beta_end': 0.02, 'prediction_type': 'epsilon', 'clip_sample': True, 'clip_sample_range': 1.0, 'num_train_timesteps': 50, 'num_inference_steps': 10, 'do_mask_loss_for_padding': False, 'input_shapes': {'observation.image': [13, 180, 240], 'context_observation.image': [13, 180, 240], 'observation.state': [8], 'observation.action_history': [7]}}, 'train_cfg': {'_target_': 'utils.TrainConfig', 'lr': 0.0001, 'lr_scheduler': 'cosine', 'lr_warmup_steps': 500, 'adam_betas': [0.95, 0.999], 'adam_eps': 1e-08, 'adam_weight_decay': 1e-06, 'grad_clip_norm': 10, 'offline_steps': 1000000, 'use_amp': True}, 'observation_cfg': {'_target_': 'agent.encoder.VisualFeatureSet', 'use_depth': True, 'use_color': True, 'mask_input_dict': {'_target_': 'agent.encoder.MaskInputDict', 'enable': False, 'representation': 'channels', 'mask_list': ['EE_obj_mask']}, 'crop_input_config': {'_target_': 'agent.encoder.CropInputConfig', 'color_crop_type': None, 'depth_crop_type': None, 'segmask_crop_type': None, 'crop_hw': [144, 144], 'crop_down_offset': 48, 'add_crop_binary_mask': False, 'add_coord_conv_map': False}, 'context_input_config': {'_target_': 'agent.encoder.ContextInputConfig', 'use_color': False, 'use_depth': False, 'mask_input_dict': {'_target_': 'agent.encoder.MaskInputDict', 'enable': False, 'representation': 'channels', 'mask_list': ['EE_obj_mask']}, 'crop_input_config': {'_target_': 'agent.encoder.CropInputConfig', 'color_crop_type': None, 'depth_crop_type': None, 'segmask_crop_type': None, 'crop_hw': [144, 144], 'crop_down_offset': 48, 'add_crop_binary_mask': False, 'add_coord_conv_map': False}}, 'mask_soft_approx_scheduler_config': {'_target_': 'agent.encoder.MaskSoftApproxSchedulerConfig', 'num_steps': 40000, 'initial_value': 10.0, 'final_value': 1000.0, 'interpolation_scheme': 'cosine'}, 'use_contact_map': False, 'use_sdf_maps': False, 'use_normals_maps': False, 'which_objects': 'both', 'grasped_dtc_max_value': 0.2, 'env_dtc_max_value': 0.4, 'grasped_normals_mask_max_dtc_value': 0.2, 'env_normals_mask_max_dtc_value': 0.4, 'clamp_dtc': True, 'max_contact_prob': 0.1, 'mask_normals_within_sdf': True, 'dtc_adaptive_normalization': False, 'adaptive_normals_mask': True, 'max_depth': 2.0, 'image_shape': [13, 180, 240], 'learnable_contact_preprocess_params': True, 'learning_rate': 0.0001, 'weight_decay': 0.0, 'contact_model_name': 'local_multitask_outhd64all_home_crop_h144w144d48_mask_ctxtmask_seed_220979_epoch_9', 'zero_centered': False}}}, 'suite': {'suite': 'frankagym', 'name': 'frankagym', 'frame_stack': 1, 'action_repeat': 1, 'discount': 0.99, 'hidden_dim': 1024, 'num_train_frames': 2010, 'num_seed_frames': 260, 'num_train_epochs': 5000, 'validate_every_epochs': 100, 'validate_diffusion_on_action_loss_every_epochs': 500, 'train_eval_diffusion_on_action_loss_every_epochs': 500, 'check_topk_every_epochs': 10, 'save_snapshot_every_epochs': 5000, 'eval_every_frames': 2000, 'num_eval_episodes': 5, 'save_snapshot': True, 'wait_for_user_to_start_episode': True, 'task_make_fn': {'_target_': 'suite.frankagym.make', 'name': 'FrankaInsertion-v1', 'height': 240, 'width': 320, 'frame_stack': 1, 'action_repeat': 1, 'seed': 0, 'enable_arm': True, 'enable_gripper': True, 'start_with_gripper_open': True, 'enable_camera': True, 'path_to_depth_extrinsics': '~/fish_leon/FISH/cfgs/camera_poses/camera_poses_L515/20240904-122305/color_tf_world.npy', 'contact_estimation_model_ckpt_path': '~/fish_leon/contact_estimation/artifacts/175604_2/checkpoints/epoch=09-val_loss=0.00.ckpt', 'x_limit': [0.2, 0.7], 'y_limit': [-0.4, 0.4], 'z_limit': [-0.05, 0.55], 'device': 'cuda', 'interpolation_frequency': 25, 'policy_frequency': 5, 'debug_timestamps': False, 'stop_after_action': False, 'open_loop': False, 'wait_for_new_camera_frames': True, 'action_key': 'action_trajectory_25hz', 'action_trajectory_horizon': 36, 'action_trajectories': True, 'path_to_zarr_dataset': '/home/leonmkim/fish_leon/FISH/expert_demos/frankagym/FrankaInsertion-v1/112_240x320_all_twodim_left_to_right_annotated_start_idx_5hz_zstd7_EE_pxl_coords_expert_demos_imp_act/demos.zarr', 'agent_policy_cfg': {'_target_': 'agent.diffusion_policy.DiffusionPolicyAgentConfig', 'compile': False, 'device': 'cuda', 'cam_resize_shape': [13, 180, 240], 'orig_cam_shape': [3, 240, 320], 'policy_frequency': 5, 'interpolation_frequency': 25, 'policy_cfg': {'_target_': 'lerobot.common.policies.diffusion.configuration_diffusion.DiffusionConfig', 'n_obs_steps': 1, 'horizon': 36, 'n_action_steps': 36, 'output_shapes': {'action': [7]}, 'input_normalization_modes': {'observation.image': 'mean_std', 'observation.state': 'min_max', 'observation.action_history': 'min_max'}, 'output_normalization_modes': {'action': 'min_max'}, 'vision_backbone': 'resnet18', 'pretrained_backbone_weights': None, 'transforms': [{'_target_': 'torchaug.transforms.RandomAffine', 'degrees': [-5, 5], 'translate': [0.05, 0.05], 'batch_transform': True, 'num_chunks': -1, 'batch_inplace': True}, {'_target_': 'torchaug.transforms.RandomColorJitter', 'brightness': 0.3, 'contrast': 0.4, 'saturation': 0.5, 'hue': 0.08, 'batch_transform': True, 'num_chunks': -1, 'batch_inplace': True}], 'use_group_norm': True, 'spatial_softmax_num_keypoints': 32, 'action_history_encoder_config': {'_target_': 'lerobot.common.policies.diffusion.configuration_diffusion.Unet1dEncoderConfig', 'in_channels': 7, 'out_channels': 32, 'history_length': 6, 'kernel_size': 5, 'downsample_kernel_size': 3, 'downsample_stride': 2, 'downsample_padding': 1}, 'down_dims': [256, 512, 1024], 'kernel_size': 5, 'n_groups': 8, 'diffusion_step_embed_dim': 128, 'use_film_scale_modulation': True, 'noise_scheduler_type': 'DDIM', 'beta_schedule': 'squaredcos_cap_v2', 'beta_start': 0.0001, 'beta_end': 0.02, 'prediction_type': 'epsilon', 'clip_sample': True, 'clip_sample_range': 1.0, 'num_train_timesteps': 50, 'num_inference_steps': 10, 'do_mask_loss_for_padding': False, 'input_shapes': {'observation.image': [13, 180, 240], 'context_observation.image': [13, 180, 240], 'observation.state': [8], 'observation.action_history': [7]}}, 'train_cfg': {'_target_': 'utils.TrainConfig', 'lr': 0.0001, 'lr_scheduler': 'cosine', 'lr_warmup_steps': 500, 'adam_betas': [0.95, 0.999], 'adam_eps': 1e-08, 'adam_weight_decay': 1e-06, 'grad_clip_norm': 10, 'offline_steps': 1000000, 'use_amp': True}, 'observation_cfg': {'_target_': 'agent.encoder.VisualFeatureSet', 'use_depth': True, 'use_color': True, 'mask_input_dict': {'_target_': 'agent.encoder.MaskInputDict', 'enable': False, 'representation': 'channels', 'mask_list': ['EE_obj_mask']}, 'crop_input_config': {'_target_': 'agent.encoder.CropInputConfig', 'color_crop_type': None, 'depth_crop_type': None, 'segmask_crop_type': None, 'crop_hw': [144, 144], 'crop_down_offset': 48, 'add_crop_binary_mask': False, 'add_coord_conv_map': False}, 'context_input_config': {'_target_': 'agent.encoder.ContextInputConfig', 'use_color': False, 'use_depth': False, 'mask_input_dict': {'_target_': 'agent.encoder.MaskInputDict', 'enable': False, 'representation': 'channels', 'mask_list': ['EE_obj_mask']}, 'crop_input_config': {'_target_': 'agent.encoder.CropInputConfig', 'color_crop_type': None, 'depth_crop_type': None, 'segmask_crop_type': None, 'crop_hw': [144, 144], 'crop_down_offset': 48, 'add_crop_binary_mask': False, 'add_coord_conv_map': False}}, 'mask_soft_approx_scheduler_config': {'_target_': 'agent.encoder.MaskSoftApproxSchedulerConfig', 'num_steps': 40000, 'initial_value': 10.0, 'final_value': 1000.0, 'interpolation_scheme': 'cosine'}, 'use_contact_map': False, 'use_sdf_maps': False, 'use_normals_maps': False, 'which_objects': 'both', 'grasped_dtc_max_value': 0.2, 'env_dtc_max_value': 0.4, 'grasped_normals_mask_max_dtc_value': 0.2, 'env_normals_mask_max_dtc_value': 0.4, 'clamp_dtc': True, 'max_contact_prob': 0.1, 'mask_normals_within_sdf': True, 'dtc_adaptive_normalization': False, 'adaptive_normals_mask': True, 'max_depth': 2.0, 'image_shape': [13, 180, 240], 'learnable_contact_preprocess_params': True, 'learning_rate': 0.0001, 'weight_decay': 0.0, 'contact_model_name': 'local_multitask_outhd64all_home_crop_h144w144d48_mask_ctxtmask_seed_220979_epoch_9', 'zero_centered': False}}, 'true_action_history': False}}, 'num_train_frames_bc': 50000, 'num_train_frames_drq': 1100000, 'stddev_schedule_drq': 'linear(1.0,0.1,100000)', 'task_name': 'FrankaInsertion-v1', 'num_train_frames_vinn': 25000, 'num_train_frames_diffusion': 1000000, 'num_train_epochs_bc': 5000, 'num_train_epochs_diffusion': 15000, 'validate_every_epochs_bc': 5, 'validate_every_epochs_diffusion': 250, 'validate_diffusion_on_action_loss_every_epochs': 250, 'train_eval_diffusion_on_action_loss_every_epochs': 250, 'check_topk_every_epochs': 5, 'check_topk_every_epochs_diffusion': 250, 'save_snapshot_every_epochs_diffusion': 1500, 'x_limit': [0.2, 0.7], 'y_limit': [-0.4, 0.4], 'z_limit': [-0.05, 0.55], 'home_displacement': [0.55, 0.0, 0.55, 180.0, 0.0, 0.0], 'enable_gripper': True, 'start_with_gripper_open': True, 'offset_mask': [1, 1, 1, 1, 1, 1], 'path_to_depth_extrinsics': '~/fish_leon/FISH/cfgs/camera_poses/camera_poses_L515/20240904-122305/color_tf_world.npy', 'feature_type': '180x240_1_RGB_D_2.0_acthst_hst6_out32_dwnkrnl3_dwnstrd2_dwnpd1', 'save_buffer': True, 'num_eval': 5, 'random_start': False, 'eval_starts': '/home/leonmkim/fish_leon/FISH/eval_starts/frankagym_pixels/FrankaInsertion-v1', 'num_valid_demos': None, 'load_checkpoint': True, 'checkpoint_epoch': 12000, 'load_residual_weight': False, 'checkpoint_root_dir': '/home/leonmkim/fish_leon/FISH', 'checkpoint_weight_dir': '/home/leonmkim/fish_leon/FISH/exp_local/frankagym_pixels/FrankaInsertion-v1/511_0', 'residual_weight': '/home/leonmkim/fish_leon/FISH/weights/frankagym_pixels/FrankaInsertion-v1/weight.pt', 'final_experiment_dir': './exp_local/frankagym_pixels/FrankaInsertion-v1/511_0/221701'}
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2024-12-17 22:17:08,301 INFO MainThread:84391 [wandb_run.py:_redirect():2320] Wrapping output streams.
|
| 27 |
+
2024-12-17 22:17:08,303 INFO MainThread:84391 [wandb_run.py:_redirect():2345] Redirects installed.
|
| 28 |
+
2024-12-17 22:17:08,305 INFO MainThread:84391 [wandb_init.py:init():847] run started, returning control to user process
|
| 29 |
+
2024-12-17 22:17:08,305 INFO MainThread:84391 [wandb_run.py:_tensorboard_callback():1544] tensorboard callback: /home/leonmkim/fish_leon/FISH/exp_local/frankagym_pixels/FrankaInsertion-v1/511_0/221701/tb, True
|
| 30 |
+
2024-12-17 22:17:13,844 INFO MainThread:84391 [wandb_run.py:_config_callback():1382] config_cb None None {'grasped_obj_name': 'electrodyn', 'left_book_slot': 'twodim'}
|
| 31 |
+
2024-12-17 22:21:22,664 WARNING MsgRouterThr:84391 [router.py:message_loop():77] message_loop has been closed
|
221701/wandb/run-20241217_221707-sqbcnf7o/files/code/FISH/eval_robot.py
ADDED
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@@ -0,0 +1,512 @@
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|
| 1 |
+
#%%
|
| 2 |
+
import warnings
|
| 3 |
+
import os
|
| 4 |
+
|
| 5 |
+
os.environ['MKL_SERVICE_FORCE_INTEL'] = '1'
|
| 6 |
+
os.environ['MUJOCO_GL'] = 'egl'
|
| 7 |
+
from pathlib import Path
|
| 8 |
+
#%%
|
| 9 |
+
import hydra
|
| 10 |
+
import numpy as np
|
| 11 |
+
import torch
|
| 12 |
+
|
| 13 |
+
import utils
|
| 14 |
+
from utils import get_feature_dirname_from_configs
|
| 15 |
+
|
| 16 |
+
from video import VideoRecorder
|
| 17 |
+
import pickle
|
| 18 |
+
import time
|
| 19 |
+
import threading
|
| 20 |
+
import shutil
|
| 21 |
+
from logger import Logger
|
| 22 |
+
|
| 23 |
+
import wandb
|
| 24 |
+
from omegaconf import OmegaConf, open_dict
|
| 25 |
+
|
| 26 |
+
from replay_buffer_robot import RosbagEvalReplayBufferStorage
|
| 27 |
+
from lerobot.common.utils.utils import _relative_path_between
|
| 28 |
+
|
| 29 |
+
torch.backends.cudnn.benchmark = True
|
| 30 |
+
warnings.filterwarnings('ignore', category=DeprecationWarning)
|
| 31 |
+
|
| 32 |
+
# import specs for replay buffer
|
| 33 |
+
from dm_env import specs
|
| 34 |
+
|
| 35 |
+
import sys, signal
|
| 36 |
+
import yaml
|
| 37 |
+
|
| 38 |
+
# get path of current file
|
| 39 |
+
current_path = os.path.dirname(os.path.realpath(__file__))
|
| 40 |
+
sys.path.append(os.path.join(current_path, os.pardir))
|
| 41 |
+
# from contact_estimation.src.utils.viz_utils import normalized_surface_normal_to_rgb, depth_map_to_im, grasped_env_dtc_map_to_im, contact_prob_map_to_im, desaturate_color_image, masked_overlay_im_list
|
| 42 |
+
|
| 43 |
+
def make_agent(obs_spec, action_spec, cfg):
|
| 44 |
+
cfg.obs_shape = obs_spec['pixels'].shape
|
| 45 |
+
dataset_statistics = None # this will be loaded from the checkpoint
|
| 46 |
+
try:
|
| 47 |
+
cfg.action_shape = action_spec.shape
|
| 48 |
+
except:
|
| 49 |
+
pass
|
| 50 |
+
return hydra.utils.instantiate(cfg, dataset_statistics)
|
| 51 |
+
|
| 52 |
+
class Workspace:
|
| 53 |
+
def __init__(self, cfg):
|
| 54 |
+
self.work_dir = Path.cwd()
|
| 55 |
+
print(f'workspace: {self.work_dir}')
|
| 56 |
+
|
| 57 |
+
signal.signal(signal.SIGINT, self.signal_handler)
|
| 58 |
+
|
| 59 |
+
self.cfg = cfg
|
| 60 |
+
self.loading_uncompiled_checkpoint_with_compile = False
|
| 61 |
+
self.loading_compiled_checkpoint_with_no_compile = False
|
| 62 |
+
|
| 63 |
+
snapshot_path = Path(self.cfg.checkpoint_weight_dir) / f'snapshot_{self.cfg.checkpoint_epoch}.pt'
|
| 64 |
+
self.load_checkpoint_conf(snapshot_path=snapshot_path)
|
| 65 |
+
|
| 66 |
+
# load config for action trajectories
|
| 67 |
+
utils.set_seed_everywhere(self.cfg.seed)
|
| 68 |
+
self.device = torch.device(self.cfg.device)
|
| 69 |
+
self.setup()
|
| 70 |
+
|
| 71 |
+
# self.agent = make_agent(self.eval_env.observation_spec(),
|
| 72 |
+
# self.eval_env.action_spec(), self.cfg.agent)
|
| 73 |
+
self.timer = utils.Timer()
|
| 74 |
+
# self._global_step = 0
|
| 75 |
+
self._global_episode = 0
|
| 76 |
+
self._global_epoch = 0
|
| 77 |
+
self.num_episode_successes = 0
|
| 78 |
+
|
| 79 |
+
# Need to convert hydra config to primitive container for wandb https://docs.wandb.ai/guides/integrations/hydra
|
| 80 |
+
with open_dict(self.cfg):
|
| 81 |
+
self.cfg.feature_type = get_feature_dirname_from_configs(
|
| 82 |
+
hydra.utils.instantiate(self.cfg.agent.config.observation_cfg),
|
| 83 |
+
self.cfg.agent.config.policy_cfg.input_shapes,
|
| 84 |
+
hydra.utils.instantiate(self.cfg.agent.config.policy_cfg.action_history_encoder_config) if 'observation.action_history' in self.cfg.agent.config.policy_cfg.input_shapes else None,
|
| 85 |
+
)
|
| 86 |
+
|
| 87 |
+
wandb_config = OmegaConf.to_container(
|
| 88 |
+
self.cfg, resolve=True, throw_on_missing=True
|
| 89 |
+
)
|
| 90 |
+
# must be called before any tf summary writer is created
|
| 91 |
+
if self.cfg.use_wandb:
|
| 92 |
+
wandb.init(project='extrinsic_contact_downstream', entity='serialexperimentsleon', job_type='eval', sync_tensorboard=self.cfg.use_tb, config=wandb_config)
|
| 93 |
+
|
| 94 |
+
self.logger = Logger(self.work_dir, use_tb=self.cfg.use_tb, use_wandb=self.cfg.use_wandb)
|
| 95 |
+
|
| 96 |
+
# if not self.loading_uncompiled_checkpoint_with_compile and self.cfg.agent.config.compile:
|
| 97 |
+
# self.agent.compile_modules()
|
| 98 |
+
|
| 99 |
+
# self.load_checkpoint(snapshot_path=snapshot_path)
|
| 100 |
+
|
| 101 |
+
# if self.loading_uncompiled_checkpoint_with_compile: # need to call compile after loading the checkpoint
|
| 102 |
+
# self.agent.compile_modules()
|
| 103 |
+
|
| 104 |
+
print(f"loaded agent with feature_type: {self.cfg.feature_type}")
|
| 105 |
+
|
| 106 |
+
def check_for_key_press(self):
|
| 107 |
+
while self.continue_keypress_thread:
|
| 108 |
+
inp = input("Press 'r' to restart current episode, 'n' to stop current episode and skip to next, 'q' to break entire eval\n")
|
| 109 |
+
if inp == 'n':
|
| 110 |
+
self.preempt_episode = True
|
| 111 |
+
print("preempting episode")
|
| 112 |
+
elif inp in ['', '0', '1']: # enter key
|
| 113 |
+
if inp in ['0', '1']:
|
| 114 |
+
self.num_episode_successes += int(inp)
|
| 115 |
+
self.proceed_after_env_reset_event.set()
|
| 116 |
+
print("proceeding to start episode!")
|
| 117 |
+
elif inp == 'q':
|
| 118 |
+
self.proceed_after_env_reset_event.set()
|
| 119 |
+
self.preempt_episode = True
|
| 120 |
+
self.exit_eval = True
|
| 121 |
+
self.continue_keypress_thread = False # will stop the keypress thread
|
| 122 |
+
print("quitting eval")
|
| 123 |
+
break
|
| 124 |
+
elif inp == 'r':
|
| 125 |
+
print('restarting episode')
|
| 126 |
+
self.preempt_episode = True
|
| 127 |
+
self.restart_episode = True
|
| 128 |
+
else:
|
| 129 |
+
print("Invalid key press, try again")
|
| 130 |
+
|
| 131 |
+
# self.keypress_input_thread.join() # wait for the keypress thread to finish
|
| 132 |
+
|
| 133 |
+
def signal_handler(self, signal, frame):
|
| 134 |
+
print("\nprogram exiting gracefully")
|
| 135 |
+
self.proceed_after_env_reset_event.set()
|
| 136 |
+
self.preempt_episode = True
|
| 137 |
+
self.exit_eval = True
|
| 138 |
+
self.continue_keypress_thread = False # will stop the keypress thread
|
| 139 |
+
self.keypress_input_thread.join() # wait for the keypress thread to finish
|
| 140 |
+
video_filepath = self.video_recorder.save()
|
| 141 |
+
# get the video file and convert to video tensor to log
|
| 142 |
+
self.logger.log_video('eval/video', video_filepath, self.global_step)
|
| 143 |
+
sys.exit(0)
|
| 144 |
+
|
| 145 |
+
def setup(self):
|
| 146 |
+
# create envs
|
| 147 |
+
self.eval_env = hydra.utils.call(self.cfg.suite.task_make_fn)
|
| 148 |
+
# expert_demo_config_path = os.path.join(os.path.dirname(self.cfg.expert_dataset), 'demo_config.yaml')
|
| 149 |
+
# self.expert_demo_config = yaml.load(open(expert_demo_config_path, 'r'), Loader=yaml.FullLoader)
|
| 150 |
+
# self.eval_env._env.action_trans_norm = expert_demo_config['max_translation_action_norm']
|
| 151 |
+
# self.eval_env._env.action_rot_norm = expert_demo_config['max_rotation_action_norm']
|
| 152 |
+
# self.eval_env._env.action_period = expert_demo_config['sample_period']
|
| 153 |
+
# print(f"setting max_translation_action_norm to {expert_demo_config['max_translation_action_norm']} and sample_period to {expert_demo_config['sample_period']}")
|
| 154 |
+
# print(f"setting max_rotation_action_norm to {expert_demo_config['max_rotation_action_norm']}")
|
| 155 |
+
|
| 156 |
+
# self.eval_env.set_demo_params(self.cfg.expert_dataset)
|
| 157 |
+
|
| 158 |
+
# Turn off random start
|
| 159 |
+
self.eval_env.random_start = False
|
| 160 |
+
|
| 161 |
+
# create replay buffer
|
| 162 |
+
# data_specs = [
|
| 163 |
+
# {
|
| 164 |
+
# 'observation': self.eval_env.observation_spec(),
|
| 165 |
+
# },
|
| 166 |
+
# # self.eval_env.observation_spec()['features'],
|
| 167 |
+
# self.eval_env.action_spec(),
|
| 168 |
+
# specs.Array(self.eval_env.action_spec().shape, self.eval_env.action_spec().dtype, 'vinn_action'),
|
| 169 |
+
# specs.Array((1, ), np.float32, 'reward'),
|
| 170 |
+
# specs.Array((1, ), np.float32, 'discount'),
|
| 171 |
+
# ]
|
| 172 |
+
|
| 173 |
+
# self.eval_replay_storage = ZarrEvalReplayBufferStorage(data_specs, self.work_dir / 'eval_buffer', debug_timestamps=self.cfg.debug_timestamps, save_buffer=self.cfg.save_buffer, debug_info_data_specs=self.eval_env.debug_info_data_specs, camera_info_dict=self.eval_env.get_camera_info_dict())
|
| 174 |
+
self.eval_replay_storage = RosbagEvalReplayBufferStorage(self.work_dir)
|
| 175 |
+
|
| 176 |
+
self.video_recorder = VideoRecorder(
|
| 177 |
+
self.work_dir if self.cfg.save_video else None,
|
| 178 |
+
ros_enabled=True,
|
| 179 |
+
fps=self.cfg.agent.config.policy_frequency,
|
| 180 |
+
)
|
| 181 |
+
|
| 182 |
+
print('workspace setup complete')
|
| 183 |
+
|
| 184 |
+
@property
|
| 185 |
+
def global_step(self):
|
| 186 |
+
# return self._global_step
|
| 187 |
+
return self.eval_env.get_global_step()
|
| 188 |
+
|
| 189 |
+
@property
|
| 190 |
+
def global_episode(self):
|
| 191 |
+
return self._global_episode
|
| 192 |
+
|
| 193 |
+
@property
|
| 194 |
+
def global_frame(self):
|
| 195 |
+
return self.global_step * self.cfg.action_repeat
|
| 196 |
+
|
| 197 |
+
@property
|
| 198 |
+
def global_epoch(self):
|
| 199 |
+
return self._global_epoch
|
| 200 |
+
|
| 201 |
+
def reset(self, eval_idx):
|
| 202 |
+
if not self.eval_env.enable_arm:
|
| 203 |
+
return np.array([0,0,0], dtype=np.float32)
|
| 204 |
+
self.eval_env.arm_refresh(reset=False)
|
| 205 |
+
# Set start position
|
| 206 |
+
try:
|
| 207 |
+
self.eval_env.set_position(self.start_pos[eval_idx])
|
| 208 |
+
except:
|
| 209 |
+
self.eval_env.arm.set_position(self.start_pos[eval_idx])
|
| 210 |
+
if self.eval_env.arm.keep_gripper_closed:
|
| 211 |
+
self.eval_env.arm.close_gripper_fully()
|
| 212 |
+
else:
|
| 213 |
+
self.eval_env.arm.open_gripper_fully()
|
| 214 |
+
time.sleep(0.1)
|
| 215 |
+
time_step = self.eval_env.step(np.zeros(self.eval_env.action_spec().shape[0], dtype=np.float32),
|
| 216 |
+
np.zeros(self.eval_env.action_spec().shape[0], dtype=np.float32))
|
| 217 |
+
return time_step
|
| 218 |
+
|
| 219 |
+
def eval(self):
|
| 220 |
+
# before evals start, prompt user for name of grasped object and the left book of the slot location
|
| 221 |
+
grasped_obj_name = input("Enter the name of the grasped object: ")
|
| 222 |
+
left_book_slot = input("Enter the left book slot location: ")
|
| 223 |
+
# update wandb config
|
| 224 |
+
if self.cfg.use_wandb:
|
| 225 |
+
wandb.config.update({'grasped_obj_name': grasped_obj_name, 'left_book_slot': left_book_slot})
|
| 226 |
+
|
| 227 |
+
self.preempt_episode = False
|
| 228 |
+
self.exit_eval = False
|
| 229 |
+
self.restart_episode = False
|
| 230 |
+
|
| 231 |
+
self.continue_keypress_thread = True
|
| 232 |
+
self.proceed_after_env_reset_event = threading.Event()
|
| 233 |
+
self.keypress_input_thread = threading.Thread(target=self.check_for_key_press)
|
| 234 |
+
self.keypress_input_thread.start()
|
| 235 |
+
|
| 236 |
+
# # Set model to eval mode
|
| 237 |
+
# self.agent.train(False)
|
| 238 |
+
|
| 239 |
+
eval_until_episode = utils.Until(self.cfg.num_eval)
|
| 240 |
+
|
| 241 |
+
self.use_action_history = False
|
| 242 |
+
# if "dp" in repr(self.agent) and "observation.action_history" in self.cfg.agent.config.policy_cfg.input_shapes:
|
| 243 |
+
if "observation.action_history" in self.cfg.agent.config.policy_cfg.input_shapes:
|
| 244 |
+
self.use_action_history = True
|
| 245 |
+
|
| 246 |
+
# self.eval_replay_storage._new_eval_step(0)
|
| 247 |
+
|
| 248 |
+
# if 'vinn' in repr(self.agent) or 'openloop' in repr(self.agent):
|
| 249 |
+
# with open(self.cfg.expert_dataset, 'rb') as f:
|
| 250 |
+
# if self.cfg.obs_type == 'pixels':
|
| 251 |
+
# self.expert_demo, _, self.expert_action, self.expert_reward = pickle.load(f)
|
| 252 |
+
# elif self.cfg.obs_type == 'features':
|
| 253 |
+
# _, self.expert_demo, self.expert_action, self.expert_reward = pickle.load(f)
|
| 254 |
+
|
| 255 |
+
# if self.cfg.action_trajectories:
|
| 256 |
+
# with open(self.cfg.expert_action_trajectories, 'rb') as f:
|
| 257 |
+
# self.expert_action = pickle.load(f)
|
| 258 |
+
|
| 259 |
+
# if isinstance(self.cfg.train_demo_idxs_list_or_num, int):
|
| 260 |
+
# if self.cfg.train_demo_idxs_list_or_num == -1:
|
| 261 |
+
# self.cfg.train_demo_idxs_list_or_num = len(self.expert_demo)
|
| 262 |
+
# train_demo_idxs_list_or_num = list(range(self.cfg.train_demo_idxs_list_or_num))
|
| 263 |
+
|
| 264 |
+
# self.expert_demo = self.expert_demo[train_demo_idxs_list_or_num]
|
| 265 |
+
# self.expert_action = self.expert_action[train_demo_idxs_list_or_num]
|
| 266 |
+
# self.expert_reward = self.expert_reward[train_demo_idxs_list_or_num]
|
| 267 |
+
# # if self.cfg.action_plans:
|
| 268 |
+
# # self.expert_action_plans = self.expert_action_plans[self.cfg.train_demo_idxs_list_or_num]
|
| 269 |
+
# # self.expert_demo = self.expert_demo[:self.cfg.num_demos]
|
| 270 |
+
# # self.expert_action = self.expert_action[:self.cfg.num_demos]
|
| 271 |
+
# # self.expert_reward = self.expert_reward[:self.cfg.num_demos]
|
| 272 |
+
|
| 273 |
+
# self.expert_demo = np.concatenate(self.expert_demo, axis=0)
|
| 274 |
+
# self.expert_rgb_obs = np.ascontiguousarray(np.transpose(self.expert_demo, (0,2,3,1))[:, :,:,:3].astype(np.uint8))
|
| 275 |
+
# self.expert_action = np.concatenate(self.expert_action, axis=0)
|
| 276 |
+
|
| 277 |
+
# self.agent.save_representations(self.expert_demo, self.expert_action, 128, config=self.expert_demo_config)
|
| 278 |
+
|
| 279 |
+
# Get start points
|
| 280 |
+
if self.cfg.random_start:
|
| 281 |
+
eval_starts = Path(self.cfg.eval_starts) / 'starts.pkl'
|
| 282 |
+
if eval_starts.exists():
|
| 283 |
+
with eval_starts.open('rb') as f:
|
| 284 |
+
self.start_pos = pickle.load(f)
|
| 285 |
+
else:
|
| 286 |
+
eval_starts = Path(self.cfg.eval_starts)
|
| 287 |
+
eval_starts.mkdir(parents=True, exist_ok=True)
|
| 288 |
+
|
| 289 |
+
# Generate start points
|
| 290 |
+
self.start_pos = []
|
| 291 |
+
try:
|
| 292 |
+
for _ in range(self.cfg.num_eval):
|
| 293 |
+
self.start_pos.append(self.eval_env.get_random_pos())
|
| 294 |
+
except:
|
| 295 |
+
for _ in range(self.cfg.num_eval):
|
| 296 |
+
self.start_pos.append(self.eval_env.arm.get_random_pos())
|
| 297 |
+
|
| 298 |
+
# Save start points for the task
|
| 299 |
+
eval_starts = eval_starts / 'starts.pkl'
|
| 300 |
+
with eval_starts.open('wb') as f:
|
| 301 |
+
pickle.dump(self.start_pos, f)
|
| 302 |
+
|
| 303 |
+
time_step = self.eval_env.reset()
|
| 304 |
+
# replay_thread = None
|
| 305 |
+
while eval_until_episode(self.global_episode) and not self.exit_eval:
|
| 306 |
+
# self.video_recorder.init(self.eval_env, video_filename=f'{self.global_episode}_eval.mp4')
|
| 307 |
+
print(f"Starting episode {self.global_episode}")
|
| 308 |
+
time_step = self.eval_env.reset() #Leon: need to call reset twice in case objects are trapped
|
| 309 |
+
self.video_recorder.init(self.eval_env, video_filename=f'{self.global_episode}_eval.mp4')
|
| 310 |
+
# x = input("Press Enter to continue... after reseting env")
|
| 311 |
+
print("Press Enter to continue... after reseting env. To rate prev episode, press 0 for failure and 1 for success")
|
| 312 |
+
self.proceed_after_env_reset_event.clear() # clear the event flag
|
| 313 |
+
self.proceed_after_env_reset_event.wait() # blocking wait for the event flag to be set
|
| 314 |
+
if self.global_episode > 0:
|
| 315 |
+
self.logger.log_metrics({'num_success': self.num_episode_successes}, self.global_step, 'eval', episode=self.global_episode)
|
| 316 |
+
self.logger.log_metrics({'success_rate': self.num_episode_successes/self.global_episode}, self.global_step, 'eval', episode=self.global_episode)
|
| 317 |
+
time_step = self.eval_env.reset()
|
| 318 |
+
# debug_info_dict = self.eval_env.debug_info_dict
|
| 319 |
+
# if replay_thread is not None:
|
| 320 |
+
# # wait for the last replay thread to finish
|
| 321 |
+
# replay_thread.join()
|
| 322 |
+
|
| 323 |
+
# self.eval_replay_storage.add(time_step._replace(observation=time_step.observation[self.cfg.obs_type]), debug_info_dict)
|
| 324 |
+
# replay_thread = threading.Thread(target=self.eval_replay_storage.add, args=(time_step._replace(observation=time_step.observation[self.cfg.obs_type]), debug_info_dict))
|
| 325 |
+
# replay_thread = threading.Thread(target=self.eval_replay_storage.add, args=(time_step, debug_info_dict))
|
| 326 |
+
|
| 327 |
+
# replay_thread.start()
|
| 328 |
+
if self.cfg.random_start:
|
| 329 |
+
time_step = self.reset(self.global_episode)
|
| 330 |
+
time.sleep(2) #5)
|
| 331 |
+
# if 'vinn' in repr(self.agent):
|
| 332 |
+
# self.agent.reset()
|
| 333 |
+
# # self.agent.buffer.reset()
|
| 334 |
+
# # if self.cfg.open_loop:
|
| 335 |
+
# # self.agent.current_step = 0
|
| 336 |
+
# if 'openloop' in repr(self.agent):
|
| 337 |
+
# self.agent.curr_step = 0
|
| 338 |
+
# at start of each episode, provide zero action for policies that use action history
|
| 339 |
+
# shape should be (T_o, T_a, action_dim)
|
| 340 |
+
|
| 341 |
+
# while not time_step.last() and not self.preempt_episode:
|
| 342 |
+
self.video_recorder.ros_start_recording()
|
| 343 |
+
self.eval_replay_storage.start_episode()
|
| 344 |
+
self.eval_env.start_policy_timer()
|
| 345 |
+
while not self.eval_env.episode_done() and not self.preempt_episode:
|
| 346 |
+
# with torch.no_grad(), utils.eval_mode(self.agent):
|
| 347 |
+
# # if self.cfg.agent.provide_topk:
|
| 348 |
+
# # action, vinn_action, topk = self.agent.act(
|
| 349 |
+
# # time_step.observation['pixels'],
|
| 350 |
+
# # self.global_step,
|
| 351 |
+
# # eval_mode=True)
|
| 352 |
+
# # elif self.cfg.agent.provide_obs:
|
| 353 |
+
# # action, vinn_action, obs = self.agent.act(
|
| 354 |
+
# # time_step.observation['pixels'],
|
| 355 |
+
# # self.global_step,
|
| 356 |
+
# # eval_mode=True)
|
| 357 |
+
# # else:
|
| 358 |
+
# action, vinn_action = self.agent.act(
|
| 359 |
+
# time_step.observation,
|
| 360 |
+
# self.global_step,
|
| 361 |
+
# eval_mode=True,
|
| 362 |
+
# obs_timestamp=time_step.observation['timestamp'],
|
| 363 |
+
# obs_seq=time_step.observation['seq'],
|
| 364 |
+
# action_history=action_history,
|
| 365 |
+
# action_history_start_timestamp=action_history_start_timestamp,
|
| 366 |
+
# )
|
| 367 |
+
# DONT WAIT FOR POLICY TO GET AN ACTION
|
| 368 |
+
# we dont want to slow down grabbing obs and passing to sam/contact features
|
| 369 |
+
|
| 370 |
+
self.eval_env.run_policy_threads() # this just does a rospy sleep
|
| 371 |
+
|
| 372 |
+
# if self.use_action_history:
|
| 373 |
+
# action_history_start_timestamp = time_step.observation['timestamp']
|
| 374 |
+
# # action_history = action[:self.cfg.agent.config.policy_cfg.action_history_encoder_config.history_length, ...]
|
| 375 |
+
# # add n_obs_steps dimension to action_history, for now we assume n_obs_steps = 1
|
| 376 |
+
# # TODO: handle n_obs_steps > 1
|
| 377 |
+
# action_history = action[np.newaxis, ...]
|
| 378 |
+
|
| 379 |
+
# time_step = self.eval_env.step(action, vinn_action) # obs, reward after action has been taken
|
| 380 |
+
# debug_info_dict = self.eval_env.debug_info_dict
|
| 381 |
+
|
| 382 |
+
# time_step = self.eval_env.ros_step()
|
| 383 |
+
|
| 384 |
+
# replay_thread.join()
|
| 385 |
+
|
| 386 |
+
# time how long it takes to execute the step
|
| 387 |
+
# time_before_add = time.perf_counter()
|
| 388 |
+
# self.eval_replay_storage.add(time_step._replace(observation=time_step.observation[self.cfg.obs_type]), debug_info_dict)
|
| 389 |
+
# use thread to call the add function in a separate thread
|
| 390 |
+
# replay_thread = threading.Thread(target=self.eval_replay_storage.add, args=(time_step._replace(observation=time_step.observation[self.cfg.obs_type]), debug_info_dict))
|
| 391 |
+
|
| 392 |
+
# replay_thread = threading.Thread(target=self.eval_replay_storage.add, args=(time_step, debug_info_dict))
|
| 393 |
+
# replay_thread.start()
|
| 394 |
+
|
| 395 |
+
# print(f"Time to add to replay buffer: {time.perf_counter() - time_before_add}")
|
| 396 |
+
|
| 397 |
+
# self.video_recorder.record(self.eval_env)
|
| 398 |
+
# self._global_step += 1
|
| 399 |
+
|
| 400 |
+
self.eval_env.stop_policy_timer()
|
| 401 |
+
|
| 402 |
+
if self.restart_episode:
|
| 403 |
+
# means we should delete the current episode and start again
|
| 404 |
+
self.restart_episode = False
|
| 405 |
+
self.eval_replay_storage.reset_current_episode()
|
| 406 |
+
self.video_recorder.reset_current_episode()
|
| 407 |
+
|
| 408 |
+
else:
|
| 409 |
+
self.eval_replay_storage.store_current_episode()
|
| 410 |
+
video_filepath = self.video_recorder.save()
|
| 411 |
+
self.logger.log_video(f"eval/{video_filepath.name.rstrip('.mp4')}", video_filepath, self.global_step)
|
| 412 |
+
self._global_episode += 1
|
| 413 |
+
|
| 414 |
+
self.preempt_episode = False # reset preempt_episode flag
|
| 415 |
+
|
| 416 |
+
# self.video_recorder.save(f'{episode}_eval.mp4')
|
| 417 |
+
# get the video file and convert to video tensor to log
|
| 418 |
+
|
| 419 |
+
self.eval_env.reset()
|
| 420 |
+
|
| 421 |
+
print("Evaluation finished. To wrap up, rate prev episode, press 0 for failure and 1 for success")
|
| 422 |
+
self.proceed_after_env_reset_event.clear() # clear the event flag
|
| 423 |
+
self.proceed_after_env_reset_event.wait() # blocking wait for the event flag to be set
|
| 424 |
+
if self.global_episode > 0:
|
| 425 |
+
# self.logger.log_metrics({'num_success': self.num_episode_successes}, self.global_step, 'eval', episode=self.global_episode)
|
| 426 |
+
self.logger.log_metrics({'num_success': self.num_episode_successes}, self.global_step, 'eval', episode=self.global_episode)
|
| 427 |
+
self.logger.log_metrics({'success_rate': self.num_episode_successes/self.global_episode}, self.global_step, 'eval', episode=self.global_episode)
|
| 428 |
+
|
| 429 |
+
self.continue_keypress_thread = False # will stop the keypress thread
|
| 430 |
+
self.keypress_input_thread.join() # wait for the keypress thread to finish
|
| 431 |
+
|
| 432 |
+
def load_checkpoint_conf(self, snapshot_path):
|
| 433 |
+
config_path = snapshot_path.parent / 'config.yaml'
|
| 434 |
+
if not config_path.exists():
|
| 435 |
+
raise FileNotFoundError(f'No snapshot conf found at {config_path}')
|
| 436 |
+
else:
|
| 437 |
+
# load the omegaconf config
|
| 438 |
+
hydra.core.global_hydra.GlobalHydra.instance().clear()
|
| 439 |
+
hydra.initialize(
|
| 440 |
+
str(_relative_path_between(Path(config_path).absolute().parent, Path(__file__).absolute().parent)),
|
| 441 |
+
)
|
| 442 |
+
cfg = hydra.compose(Path(config_path).stem)
|
| 443 |
+
from deepdiff import DeepDiff
|
| 444 |
+
from omegaconf import open_dict
|
| 445 |
+
diff = DeepDiff(OmegaConf.to_container(cfg), OmegaConf.to_container(self.cfg)) # old, new
|
| 446 |
+
# import re
|
| 447 |
+
overwriteable_keys = [f"root{overwritable_key}" for overwritable_key in ["['use_wandb']", "['path_to_depth_extrinsics']", "['eval']", "['root_dir']", "['wandb_notes']", "['agent']['config']['train_cfg']['use_amp']", "['agent']['config']['compile']", "['agent']['config']['policy_cfg']['num_inference_steps']"]]
|
| 448 |
+
if "values_changed" in diff:
|
| 449 |
+
# top_k_checkpoints, wandb_notes, agent.config.train_cfg.use_amp, save_snapshot_every_epochs_diffusion, check_topk_every_epochs_diffusion, validate_diffusion_on_action_loss_every_epochs, train_eval_diffusion_on_action_loss_every_epochs, validate_every_epochs_diffusion
|
| 450 |
+
# for keys above, overwrite the old config with the new config
|
| 451 |
+
for k, v in diff['values_changed'].items():
|
| 452 |
+
# replace any keys that are under "root['suite']"
|
| 453 |
+
if k in overwriteable_keys or k.startswith("root['suite']"):
|
| 454 |
+
print(f"Found changed key {k} with value {v}. Overwriting old checkpoint config")
|
| 455 |
+
if k == "root['agent']['config']['compile']":
|
| 456 |
+
if diff['values_changed'][k]['new_value']:
|
| 457 |
+
self.loading_uncompiled_checkpoint_with_compile = True
|
| 458 |
+
elif not diff['values_changed'][k]['new_value']:
|
| 459 |
+
# raise ValueError("Cannot load a compiled checkpoint without compile")
|
| 460 |
+
self.loading_compiled_checkpoint_with_no_compile = True
|
| 461 |
+
exec(f"{k.replace('root[', 'cfg[')} = {k.replace('root[', 'self.cfg[')}")
|
| 462 |
+
# for any new values, update the old checkpoint config
|
| 463 |
+
if "dictionary_item_added" in diff:
|
| 464 |
+
for new_key in diff['dictionary_item_added']: # this is a list
|
| 465 |
+
# if new_key == "root['suite']['task_make_fn']['observation_cfg']":
|
| 466 |
+
if new_key == "root['suite']['task_make_fn']['agent_policy_cfg']":
|
| 467 |
+
# pass the agents observation_cfg to the suite task_make_fn
|
| 468 |
+
with open_dict(cfg): # to allow addition of non-existing keys
|
| 469 |
+
# cfg.suite.task_make_fn.observation_cfg = cfg.agent.config.observation_cfg
|
| 470 |
+
cfg.suite.task_make_fn.agent_policy_cfg = cfg.agent.config
|
| 471 |
+
continue
|
| 472 |
+
elif "['agent']['config']['policy_cfg']['input_shapes']" in new_key:
|
| 473 |
+
# skip adding the new key if it is the input_shapes of the policy_cfg
|
| 474 |
+
continue
|
| 475 |
+
else:
|
| 476 |
+
print(f"Found new key {new_key} with value {eval(new_key.replace('root[', 'self.cfg['))}. Adding to checkpoint config")
|
| 477 |
+
# eval(new_key.replace('root', 'cfg')) = eval(new_key.replace('root', 'self.cfg'))
|
| 478 |
+
if new_key == "root['agent']['config']['compile']":
|
| 479 |
+
if self.cfg.agent.config.compile:
|
| 480 |
+
self.loading_uncompiled_checkpoint_with_compile = True
|
| 481 |
+
|
| 482 |
+
with open_dict(cfg):
|
| 483 |
+
exec(f"{new_key.replace('root[', 'cfg[')}={new_key.replace('root[', 'self.cfg[')}")
|
| 484 |
+
self.cfg = cfg
|
| 485 |
+
|
| 486 |
+
def load_checkpoint(self, snapshot_path, bc=False):
|
| 487 |
+
print(f'resuming {repr(self.agent)}: {snapshot_path}')
|
| 488 |
+
with snapshot_path.open('rb') as f:
|
| 489 |
+
payload = torch.load(f)
|
| 490 |
+
agent_payload = {}
|
| 491 |
+
for k, v in payload.items():
|
| 492 |
+
if k not in self.__dict__:
|
| 493 |
+
agent_payload[k] = v
|
| 494 |
+
elif k == '_global_epoch':
|
| 495 |
+
self._global_epoch = v
|
| 496 |
+
print(f'loaded epoch: {v}')
|
| 497 |
+
if self.cfg.use_wandb:
|
| 498 |
+
# add to config of wandb
|
| 499 |
+
wandb.config.update({'epoch': v})
|
| 500 |
+
|
| 501 |
+
# self.agent.load_snapshot_eval(agent_payload, bc)
|
| 502 |
+
|
| 503 |
+
@hydra.main(config_path='cfgs', config_name='config_eval')
|
| 504 |
+
def main(cfg):
|
| 505 |
+
from eval_robot import Workspace as W
|
| 506 |
+
root_dir = Path.cwd()
|
| 507 |
+
workspace = W(cfg)
|
| 508 |
+
|
| 509 |
+
workspace.eval()
|
| 510 |
+
|
| 511 |
+
if __name__ == '__main__':
|
| 512 |
+
main()
|
221701/wandb/run-20241217_221707-sqbcnf7o/files/config.yaml
ADDED
|
@@ -0,0 +1,891 @@
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|
| 28 |
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|
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|
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|
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|
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|
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|
| 48 |
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|
| 49 |
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|
| 50 |
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|
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|
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|
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|
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|
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|
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|
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| 105 |
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|
| 106 |
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| 108 |
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|
| 109 |
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| 110 |
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| 111 |
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|
| 112 |
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|
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|
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| 122 |
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| 124 |
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|
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|
| 133 |
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| 134 |
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|
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|
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| 151 |
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| 154 |
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| 163 |
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| 164 |
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| 165 |
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|
| 166 |
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desc: null
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| 167 |
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value: local_multitask_outhd64all_home_crop_h144w144d48_mask_ctxtmask_seed_220979_epoch_9
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| 168 |
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contact_estimation_model_ckpt_path:
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| 169 |
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desc: null
|
| 170 |
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value: ~/fish_leon/contact_estimation/artifacts/175604_2/checkpoints/epoch=09-val_loss=0.00.ckpt
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| 171 |
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encoder_type:
|
| 172 |
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| 174 |
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| 181 |
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| 184 |
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| 187 |
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| 189 |
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| 190 |
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| 192 |
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| 193 |
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| 194 |
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| 195 |
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| 196 |
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| 198 |
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| 199 |
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desc: null
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| 200 |
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value: -1
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| 201 |
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| 202 |
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| 204 |
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|
| 205 |
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expert_dataset_dirpath:
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| 208 |
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desc: null
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value: /home/leonmkim/fish_leon/FISH/expert_demos/frankagym/FrankaInsertion-v1/112_240x320_all_twodim_left_to_right_annotated_start_idx_5hz_zstd7_EE_pxl_coords_expert_demos_imp_act
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| 211 |
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| 216 |
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action_key:
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| 217 |
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value: action_trajectory_25hz
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|
| 220 |
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value: semantic_demo_grouping.yaml
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| 222 |
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desc: null
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value:
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| 228 |
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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name: diffusion_policy
|
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|
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device: cuda
|
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|
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suite_name: frankagym
|
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|
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|
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|
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|
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desired_image_shape:
|
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|
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|
| 321 |
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|
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compile: false
|
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|
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|
| 329 |
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- 3
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| 330 |
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| 331 |
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|
| 332 |
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policy_frequency: 5
|
| 333 |
+
interpolation_frequency: 25
|
| 334 |
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policy_cfg:
|
| 335 |
+
_target_: lerobot.common.policies.diffusion.configuration_diffusion.DiffusionConfig
|
| 336 |
+
n_obs_steps: 1
|
| 337 |
+
horizon: 36
|
| 338 |
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n_action_steps: 36
|
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output_shapes:
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action:
|
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- 7
|
| 342 |
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input_normalization_modes:
|
| 343 |
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observation.image: mean_std
|
| 344 |
+
observation.state: min_max
|
| 345 |
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observation.action_history: min_max
|
| 346 |
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output_normalization_modes:
|
| 347 |
+
action: min_max
|
| 348 |
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vision_backbone: resnet18
|
| 349 |
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pretrained_backbone_weights: null
|
| 350 |
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transforms:
|
| 351 |
+
- _target_: torchaug.transforms.RandomAffine
|
| 352 |
+
degrees:
|
| 353 |
+
- -5
|
| 354 |
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- 5
|
| 355 |
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translate:
|
| 356 |
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- 0.05
|
| 357 |
+
- 0.05
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| 358 |
+
batch_transform: true
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| 359 |
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num_chunks: -1
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| 360 |
+
batch_inplace: true
|
| 361 |
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- _target_: torchaug.transforms.RandomColorJitter
|
| 362 |
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brightness: 0.3
|
| 363 |
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contrast: 0.4
|
| 364 |
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saturation: 0.5
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| 365 |
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hue: 0.08
|
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batch_transform: true
|
| 367 |
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num_chunks: -1
|
| 368 |
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batch_inplace: true
|
| 369 |
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use_group_norm: true
|
| 370 |
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spatial_softmax_num_keypoints: 32
|
| 371 |
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action_history_encoder_config:
|
| 372 |
+
_target_: lerobot.common.policies.diffusion.configuration_diffusion.Unet1dEncoderConfig
|
| 373 |
+
in_channels: 7
|
| 374 |
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out_channels: 32
|
| 375 |
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history_length: 6
|
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kernel_size: 5
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downsample_kernel_size: 3
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down_dims:
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|
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kernel_size: 5
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n_groups: 8
|
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diffusion_step_embed_dim: 128
|
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use_film_scale_modulation: true
|
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noise_scheduler_type: DDIM
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beta_schedule: squaredcos_cap_v2
|
| 390 |
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beta_start: 0.0001
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beta_end: 0.02
|
| 392 |
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prediction_type: epsilon
|
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clip_sample: true
|
| 394 |
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clip_sample_range: 1.0
|
| 395 |
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num_train_timesteps: 50
|
| 396 |
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num_inference_steps: 10
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input_shapes:
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observation.action_history:
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- 7
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train_cfg:
|
| 412 |
+
_target_: utils.TrainConfig
|
| 413 |
+
lr: 0.0001
|
| 414 |
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lr_scheduler: cosine
|
| 415 |
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lr_warmup_steps: 500
|
| 416 |
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adam_betas:
|
| 417 |
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- 0.95
|
| 418 |
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|
| 419 |
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adam_eps: 1.0e-08
|
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adam_weight_decay: 1.0e-06
|
| 421 |
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grad_clip_norm: 10
|
| 422 |
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offline_steps: 1000000
|
| 423 |
+
use_amp: true
|
| 424 |
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observation_cfg:
|
| 425 |
+
_target_: agent.encoder.VisualFeatureSet
|
| 426 |
+
use_depth: true
|
| 427 |
+
use_color: true
|
| 428 |
+
mask_input_dict:
|
| 429 |
+
_target_: agent.encoder.MaskInputDict
|
| 430 |
+
enable: false
|
| 431 |
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representation: channels
|
| 432 |
+
mask_list:
|
| 433 |
+
- EE_obj_mask
|
| 434 |
+
crop_input_config:
|
| 435 |
+
_target_: agent.encoder.CropInputConfig
|
| 436 |
+
color_crop_type: null
|
| 437 |
+
depth_crop_type: null
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| 438 |
+
segmask_crop_type: null
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| 439 |
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crop_hw:
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- 144
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- 144
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| 442 |
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crop_down_offset: 48
|
| 443 |
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add_crop_binary_mask: false
|
| 444 |
+
add_coord_conv_map: false
|
| 445 |
+
context_input_config:
|
| 446 |
+
_target_: agent.encoder.ContextInputConfig
|
| 447 |
+
use_color: false
|
| 448 |
+
use_depth: false
|
| 449 |
+
mask_input_dict:
|
| 450 |
+
_target_: agent.encoder.MaskInputDict
|
| 451 |
+
enable: false
|
| 452 |
+
representation: channels
|
| 453 |
+
mask_list:
|
| 454 |
+
- EE_obj_mask
|
| 455 |
+
crop_input_config:
|
| 456 |
+
_target_: agent.encoder.CropInputConfig
|
| 457 |
+
color_crop_type: null
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| 458 |
+
depth_crop_type: null
|
| 459 |
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segmask_crop_type: null
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| 460 |
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crop_hw:
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- 144
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- 144
|
| 463 |
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crop_down_offset: 48
|
| 464 |
+
add_crop_binary_mask: false
|
| 465 |
+
add_coord_conv_map: false
|
| 466 |
+
mask_soft_approx_scheduler_config:
|
| 467 |
+
_target_: agent.encoder.MaskSoftApproxSchedulerConfig
|
| 468 |
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num_steps: 40000
|
| 469 |
+
initial_value: 10.0
|
| 470 |
+
final_value: 1000.0
|
| 471 |
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interpolation_scheme: cosine
|
| 472 |
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use_contact_map: false
|
| 473 |
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use_sdf_maps: false
|
| 474 |
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use_normals_maps: false
|
| 475 |
+
which_objects: both
|
| 476 |
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grasped_dtc_max_value: 0.2
|
| 477 |
+
env_dtc_max_value: 0.4
|
| 478 |
+
grasped_normals_mask_max_dtc_value: 0.2
|
| 479 |
+
env_normals_mask_max_dtc_value: 0.4
|
| 480 |
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clamp_dtc: true
|
| 481 |
+
max_contact_prob: 0.1
|
| 482 |
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mask_normals_within_sdf: true
|
| 483 |
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dtc_adaptive_normalization: false
|
| 484 |
+
adaptive_normals_mask: true
|
| 485 |
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max_depth: 2.0
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image_shape:
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- 13
|
| 488 |
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- 180
|
| 489 |
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- 240
|
| 490 |
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learnable_contact_preprocess_params: true
|
| 491 |
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learning_rate: 0.0001
|
| 492 |
+
weight_decay: 0.0
|
| 493 |
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contact_model_name: local_multitask_outhd64all_home_crop_h144w144d48_mask_ctxtmask_seed_220979_epoch_9
|
| 494 |
+
zero_centered: false
|
| 495 |
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suite:
|
| 496 |
+
desc: null
|
| 497 |
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value:
|
| 498 |
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suite: frankagym
|
| 499 |
+
name: frankagym
|
| 500 |
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frame_stack: 1
|
| 501 |
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action_repeat: 1
|
| 502 |
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discount: 0.99
|
| 503 |
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hidden_dim: 1024
|
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num_train_frames: 2010
|
| 505 |
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num_seed_frames: 260
|
| 506 |
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num_train_epochs: 5000
|
| 507 |
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validate_every_epochs: 100
|
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validate_diffusion_on_action_loss_every_epochs: 500
|
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train_eval_diffusion_on_action_loss_every_epochs: 500
|
| 510 |
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check_topk_every_epochs: 10
|
| 511 |
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save_snapshot_every_epochs: 5000
|
| 512 |
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eval_every_frames: 2000
|
| 513 |
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num_eval_episodes: 5
|
| 514 |
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save_snapshot: true
|
| 515 |
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wait_for_user_to_start_episode: true
|
| 516 |
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task_make_fn:
|
| 517 |
+
_target_: suite.frankagym.make
|
| 518 |
+
name: FrankaInsertion-v1
|
| 519 |
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height: 240
|
| 520 |
+
width: 320
|
| 521 |
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frame_stack: 1
|
| 522 |
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action_repeat: 1
|
| 523 |
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seed: 0
|
| 524 |
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enable_arm: true
|
| 525 |
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enable_gripper: true
|
| 526 |
+
start_with_gripper_open: true
|
| 527 |
+
enable_camera: true
|
| 528 |
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path_to_depth_extrinsics: ~/fish_leon/FISH/cfgs/camera_poses/camera_poses_L515/20240904-122305/color_tf_world.npy
|
| 529 |
+
contact_estimation_model_ckpt_path: ~/fish_leon/contact_estimation/artifacts/175604_2/checkpoints/epoch=09-val_loss=0.00.ckpt
|
| 530 |
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x_limit:
|
| 531 |
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- 0.2
|
| 532 |
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- 0.7
|
| 533 |
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y_limit:
|
| 534 |
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- -0.4
|
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|
| 536 |
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z_limit:
|
| 537 |
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|
| 538 |
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- 0.55
|
| 539 |
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device: cuda
|
| 540 |
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interpolation_frequency: 25
|
| 541 |
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policy_frequency: 5
|
| 542 |
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debug_timestamps: false
|
| 543 |
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stop_after_action: false
|
| 544 |
+
open_loop: false
|
| 545 |
+
wait_for_new_camera_frames: true
|
| 546 |
+
action_key: action_trajectory_25hz
|
| 547 |
+
action_trajectory_horizon: 36
|
| 548 |
+
action_trajectories: true
|
| 549 |
+
path_to_zarr_dataset: /home/leonmkim/fish_leon/FISH/expert_demos/frankagym/FrankaInsertion-v1/112_240x320_all_twodim_left_to_right_annotated_start_idx_5hz_zstd7_EE_pxl_coords_expert_demos_imp_act/demos.zarr
|
| 550 |
+
agent_policy_cfg:
|
| 551 |
+
_target_: agent.diffusion_policy.DiffusionPolicyAgentConfig
|
| 552 |
+
compile: false
|
| 553 |
+
device: cuda
|
| 554 |
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cam_resize_shape:
|
| 555 |
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- 13
|
| 556 |
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- 180
|
| 557 |
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- 240
|
| 558 |
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orig_cam_shape:
|
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- 3
|
| 560 |
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- 240
|
| 561 |
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- 320
|
| 562 |
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policy_frequency: 5
|
| 563 |
+
interpolation_frequency: 25
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policy_cfg:
|
| 565 |
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_target_: lerobot.common.policies.diffusion.configuration_diffusion.DiffusionConfig
|
| 566 |
+
n_obs_steps: 1
|
| 567 |
+
horizon: 36
|
| 568 |
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n_action_steps: 36
|
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output_shapes:
|
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action:
|
| 571 |
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- 7
|
| 572 |
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input_normalization_modes:
|
| 573 |
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observation.image: mean_std
|
| 574 |
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observation.state: min_max
|
| 575 |
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observation.action_history: min_max
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| 576 |
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output_normalization_modes:
|
| 577 |
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action: min_max
|
| 578 |
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vision_backbone: resnet18
|
| 579 |
+
pretrained_backbone_weights: null
|
| 580 |
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transforms:
|
| 581 |
+
- _target_: torchaug.transforms.RandomAffine
|
| 582 |
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degrees:
|
| 583 |
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- -5
|
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- 5
|
| 585 |
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translate:
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| 588 |
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batch_transform: true
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num_chunks: -1
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batch_inplace: true
|
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- _target_: torchaug.transforms.RandomColorJitter
|
| 592 |
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brightness: 0.3
|
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contrast: 0.4
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saturation: 0.5
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hue: 0.08
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batch_transform: true
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num_chunks: -1
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| 598 |
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batch_inplace: true
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use_group_norm: true
|
| 600 |
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spatial_softmax_num_keypoints: 32
|
| 601 |
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action_history_encoder_config:
|
| 602 |
+
_target_: lerobot.common.policies.diffusion.configuration_diffusion.Unet1dEncoderConfig
|
| 603 |
+
in_channels: 7
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out_channels: 32
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history_length: 6
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kernel_size: 5
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downsample_kernel_size: 3
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downsample_stride: 2
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downsample_padding: 1
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down_dims:
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- 256
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- 512
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- 1024
|
| 614 |
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kernel_size: 5
|
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n_groups: 8
|
| 616 |
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diffusion_step_embed_dim: 128
|
| 617 |
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use_film_scale_modulation: true
|
| 618 |
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noise_scheduler_type: DDIM
|
| 619 |
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beta_schedule: squaredcos_cap_v2
|
| 620 |
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beta_start: 0.0001
|
| 621 |
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beta_end: 0.02
|
| 622 |
+
prediction_type: epsilon
|
| 623 |
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clip_sample: true
|
| 624 |
+
clip_sample_range: 1.0
|
| 625 |
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num_train_timesteps: 50
|
| 626 |
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num_inference_steps: 10
|
| 627 |
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do_mask_loss_for_padding: false
|
| 628 |
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input_shapes:
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| 629 |
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observation.image:
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|
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- 180
|
| 632 |
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| 633 |
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context_observation.image:
|
| 634 |
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| 635 |
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- 180
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- 240
|
| 637 |
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observation.state:
|
| 638 |
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- 8
|
| 639 |
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observation.action_history:
|
| 640 |
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- 7
|
| 641 |
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train_cfg:
|
| 642 |
+
_target_: utils.TrainConfig
|
| 643 |
+
lr: 0.0001
|
| 644 |
+
lr_scheduler: cosine
|
| 645 |
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lr_warmup_steps: 500
|
| 646 |
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adam_betas:
|
| 647 |
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- 0.95
|
| 648 |
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- 0.999
|
| 649 |
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adam_eps: 1.0e-08
|
| 650 |
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adam_weight_decay: 1.0e-06
|
| 651 |
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grad_clip_norm: 10
|
| 652 |
+
offline_steps: 1000000
|
| 653 |
+
use_amp: true
|
| 654 |
+
observation_cfg:
|
| 655 |
+
_target_: agent.encoder.VisualFeatureSet
|
| 656 |
+
use_depth: true
|
| 657 |
+
use_color: true
|
| 658 |
+
mask_input_dict:
|
| 659 |
+
_target_: agent.encoder.MaskInputDict
|
| 660 |
+
enable: false
|
| 661 |
+
representation: channels
|
| 662 |
+
mask_list:
|
| 663 |
+
- EE_obj_mask
|
| 664 |
+
crop_input_config:
|
| 665 |
+
_target_: agent.encoder.CropInputConfig
|
| 666 |
+
color_crop_type: null
|
| 667 |
+
depth_crop_type: null
|
| 668 |
+
segmask_crop_type: null
|
| 669 |
+
crop_hw:
|
| 670 |
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- 144
|
| 671 |
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- 144
|
| 672 |
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crop_down_offset: 48
|
| 673 |
+
add_crop_binary_mask: false
|
| 674 |
+
add_coord_conv_map: false
|
| 675 |
+
context_input_config:
|
| 676 |
+
_target_: agent.encoder.ContextInputConfig
|
| 677 |
+
use_color: false
|
| 678 |
+
use_depth: false
|
| 679 |
+
mask_input_dict:
|
| 680 |
+
_target_: agent.encoder.MaskInputDict
|
| 681 |
+
enable: false
|
| 682 |
+
representation: channels
|
| 683 |
+
mask_list:
|
| 684 |
+
- EE_obj_mask
|
| 685 |
+
crop_input_config:
|
| 686 |
+
_target_: agent.encoder.CropInputConfig
|
| 687 |
+
color_crop_type: null
|
| 688 |
+
depth_crop_type: null
|
| 689 |
+
segmask_crop_type: null
|
| 690 |
+
crop_hw:
|
| 691 |
+
- 144
|
| 692 |
+
- 144
|
| 693 |
+
crop_down_offset: 48
|
| 694 |
+
add_crop_binary_mask: false
|
| 695 |
+
add_coord_conv_map: false
|
| 696 |
+
mask_soft_approx_scheduler_config:
|
| 697 |
+
_target_: agent.encoder.MaskSoftApproxSchedulerConfig
|
| 698 |
+
num_steps: 40000
|
| 699 |
+
initial_value: 10.0
|
| 700 |
+
final_value: 1000.0
|
| 701 |
+
interpolation_scheme: cosine
|
| 702 |
+
use_contact_map: false
|
| 703 |
+
use_sdf_maps: false
|
| 704 |
+
use_normals_maps: false
|
| 705 |
+
which_objects: both
|
| 706 |
+
grasped_dtc_max_value: 0.2
|
| 707 |
+
env_dtc_max_value: 0.4
|
| 708 |
+
grasped_normals_mask_max_dtc_value: 0.2
|
| 709 |
+
env_normals_mask_max_dtc_value: 0.4
|
| 710 |
+
clamp_dtc: true
|
| 711 |
+
max_contact_prob: 0.1
|
| 712 |
+
mask_normals_within_sdf: true
|
| 713 |
+
dtc_adaptive_normalization: false
|
| 714 |
+
adaptive_normals_mask: true
|
| 715 |
+
max_depth: 2.0
|
| 716 |
+
image_shape:
|
| 717 |
+
- 13
|
| 718 |
+
- 180
|
| 719 |
+
- 240
|
| 720 |
+
learnable_contact_preprocess_params: true
|
| 721 |
+
learning_rate: 0.0001
|
| 722 |
+
weight_decay: 0.0
|
| 723 |
+
contact_model_name: local_multitask_outhd64all_home_crop_h144w144d48_mask_ctxtmask_seed_220979_epoch_9
|
| 724 |
+
zero_centered: false
|
| 725 |
+
true_action_history: false
|
| 726 |
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num_train_frames_bc:
|
| 727 |
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desc: null
|
| 728 |
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value: 50000
|
| 729 |
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num_train_frames_drq:
|
| 730 |
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desc: null
|
| 731 |
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value: 1100000
|
| 732 |
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stddev_schedule_drq:
|
| 733 |
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desc: null
|
| 734 |
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value: linear(1.0,0.1,100000)
|
| 735 |
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task_name:
|
| 736 |
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desc: null
|
| 737 |
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value: FrankaInsertion-v1
|
| 738 |
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num_train_frames_vinn:
|
| 739 |
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desc: null
|
| 740 |
+
value: 25000
|
| 741 |
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num_train_frames_diffusion:
|
| 742 |
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desc: null
|
| 743 |
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value: 1000000
|
| 744 |
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num_train_epochs_bc:
|
| 745 |
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desc: null
|
| 746 |
+
value: 5000
|
| 747 |
+
num_train_epochs_diffusion:
|
| 748 |
+
desc: null
|
| 749 |
+
value: 15000
|
| 750 |
+
validate_every_epochs_bc:
|
| 751 |
+
desc: null
|
| 752 |
+
value: 5
|
| 753 |
+
validate_every_epochs_diffusion:
|
| 754 |
+
desc: null
|
| 755 |
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value: 250
|
| 756 |
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validate_diffusion_on_action_loss_every_epochs:
|
| 757 |
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desc: null
|
| 758 |
+
value: 250
|
| 759 |
+
train_eval_diffusion_on_action_loss_every_epochs:
|
| 760 |
+
desc: null
|
| 761 |
+
value: 250
|
| 762 |
+
check_topk_every_epochs:
|
| 763 |
+
desc: null
|
| 764 |
+
value: 5
|
| 765 |
+
check_topk_every_epochs_diffusion:
|
| 766 |
+
desc: null
|
| 767 |
+
value: 250
|
| 768 |
+
save_snapshot_every_epochs_diffusion:
|
| 769 |
+
desc: null
|
| 770 |
+
value: 1500
|
| 771 |
+
x_limit:
|
| 772 |
+
desc: null
|
| 773 |
+
value:
|
| 774 |
+
- 0.2
|
| 775 |
+
- 0.7
|
| 776 |
+
y_limit:
|
| 777 |
+
desc: null
|
| 778 |
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value:
|
| 779 |
+
- -0.4
|
| 780 |
+
- 0.4
|
| 781 |
+
z_limit:
|
| 782 |
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desc: null
|
| 783 |
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value:
|
| 784 |
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- -0.05
|
| 785 |
+
- 0.55
|
| 786 |
+
home_displacement:
|
| 787 |
+
desc: null
|
| 788 |
+
value:
|
| 789 |
+
- 0.55
|
| 790 |
+
- 0.0
|
| 791 |
+
- 0.55
|
| 792 |
+
- 180.0
|
| 793 |
+
- 0.0
|
| 794 |
+
- 0.0
|
| 795 |
+
enable_gripper:
|
| 796 |
+
desc: null
|
| 797 |
+
value: true
|
| 798 |
+
start_with_gripper_open:
|
| 799 |
+
desc: null
|
| 800 |
+
value: true
|
| 801 |
+
offset_mask:
|
| 802 |
+
desc: null
|
| 803 |
+
value:
|
| 804 |
+
- 1
|
| 805 |
+
- 1
|
| 806 |
+
- 1
|
| 807 |
+
- 1
|
| 808 |
+
- 1
|
| 809 |
+
- 1
|
| 810 |
+
path_to_depth_extrinsics:
|
| 811 |
+
desc: null
|
| 812 |
+
value: ~/fish_leon/FISH/cfgs/camera_poses/camera_poses_L515/20240904-122305/color_tf_world.npy
|
| 813 |
+
feature_type:
|
| 814 |
+
desc: null
|
| 815 |
+
value: 180x240_1_RGB_D_2.0_acthst_hst6_out32_dwnkrnl3_dwnstrd2_dwnpd1
|
| 816 |
+
save_buffer:
|
| 817 |
+
desc: null
|
| 818 |
+
value: true
|
| 819 |
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num_eval:
|
| 820 |
+
desc: null
|
| 821 |
+
value: 5
|
| 822 |
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random_start:
|
| 823 |
+
desc: null
|
| 824 |
+
value: false
|
| 825 |
+
eval_starts:
|
| 826 |
+
desc: null
|
| 827 |
+
value: /home/leonmkim/fish_leon/FISH/eval_starts/frankagym_pixels/FrankaInsertion-v1
|
| 828 |
+
num_valid_demos:
|
| 829 |
+
desc: null
|
| 830 |
+
value: null
|
| 831 |
+
load_checkpoint:
|
| 832 |
+
desc: null
|
| 833 |
+
value: true
|
| 834 |
+
checkpoint_epoch:
|
| 835 |
+
desc: null
|
| 836 |
+
value: 12000
|
| 837 |
+
load_residual_weight:
|
| 838 |
+
desc: null
|
| 839 |
+
value: false
|
| 840 |
+
checkpoint_root_dir:
|
| 841 |
+
desc: null
|
| 842 |
+
value: /home/leonmkim/fish_leon/FISH
|
| 843 |
+
checkpoint_weight_dir:
|
| 844 |
+
desc: null
|
| 845 |
+
value: /home/leonmkim/fish_leon/FISH/exp_local/frankagym_pixels/FrankaInsertion-v1/511_0
|
| 846 |
+
residual_weight:
|
| 847 |
+
desc: null
|
| 848 |
+
value: /home/leonmkim/fish_leon/FISH/weights/frankagym_pixels/FrankaInsertion-v1/weight.pt
|
| 849 |
+
final_experiment_dir:
|
| 850 |
+
desc: null
|
| 851 |
+
value: ./exp_local/frankagym_pixels/FrankaInsertion-v1/511_0/221701
|
| 852 |
+
_wandb:
|
| 853 |
+
desc: null
|
| 854 |
+
value:
|
| 855 |
+
code_path: code/FISH/eval_robot.py
|
| 856 |
+
python_version: 3.10.14
|
| 857 |
+
cli_version: 0.17.5
|
| 858 |
+
framework: torch
|
| 859 |
+
is_jupyter_run: false
|
| 860 |
+
is_kaggle_kernel: false
|
| 861 |
+
start_time: 1734491827
|
| 862 |
+
t:
|
| 863 |
+
1:
|
| 864 |
+
- 1
|
| 865 |
+
- 41
|
| 866 |
+
- 49
|
| 867 |
+
- 50
|
| 868 |
+
- 55
|
| 869 |
+
- 83
|
| 870 |
+
2:
|
| 871 |
+
- 1
|
| 872 |
+
- 41
|
| 873 |
+
- 49
|
| 874 |
+
- 50
|
| 875 |
+
- 55
|
| 876 |
+
- 83
|
| 877 |
+
3:
|
| 878 |
+
- 16
|
| 879 |
+
- 23
|
| 880 |
+
- 35
|
| 881 |
+
4: 3.10.14
|
| 882 |
+
5: 0.17.5
|
| 883 |
+
8:
|
| 884 |
+
- 5
|
| 885 |
+
13: linux-x86_64
|
| 886 |
+
grasped_obj_name:
|
| 887 |
+
desc: null
|
| 888 |
+
value: electrodyn
|
| 889 |
+
left_book_slot:
|
| 890 |
+
desc: null
|
| 891 |
+
value: twodim
|
221701/wandb/run-20241217_221707-sqbcnf7o/files/diff.patch
ADDED
|
@@ -0,0 +1,195 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
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|
|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
diff --git a/FISH/cfgs/config_eval.yaml b/FISH/cfgs/config_eval.yaml
|
| 2 |
+
index bb0a413..e3ce3e8 100644
|
| 3 |
+
--- a/FISH/cfgs/config_eval.yaml
|
| 4 |
+
+++ b/FISH/cfgs/config_eval.yaml
|
| 5 |
+
@@ -107,7 +107,7 @@ num_valid_demos: null
|
| 6 |
+
val_num_groups: 3
|
| 7 |
+
|
| 8 |
+
# name_of_expert_demo: 'book_insertion_wo_ends_wedge_v2_76_all_demos_10hz_no_filter_wo_flow_mask_expert_demos_imp_act'
|
| 9 |
+
-name_of_expert_demo: '192_240x320_multiobj_twodim_recovery_5hz_zstd7_EE_pxl_coords_expert_demos_imp_act'
|
| 10 |
+
+name_of_expert_demo: '112_240x320_all_twodim_left_to_right_annotated_start_idx_5hz_zstd7_EE_pxl_coords_expert_demos_imp_act'
|
| 11 |
+
expert_dataset_dirpath: '${root_dir}/FISH/expert_demos/${suite.name}/${task_name}/${name_of_expert_demo}'
|
| 12 |
+
|
| 13 |
+
expert_dataset: '${expert_dataset_dirpath}/demos.zarr'
|
| 14 |
+
@@ -123,89 +123,28 @@ bc_weight_type: 'qfilter' # linear, qfilter
|
| 15 |
+
|
| 16 |
+
# Load weights
|
| 17 |
+
load_checkpoint: ${agent.load_checkpoint}
|
| 18 |
+
-# 64_240x320_hbm_twodim_fps_fix_contact_fix_recovery_fix_annotated_start_idx_5hz_zstd7_EE_pxl_coords_expert_demos_imp_act
|
| 19 |
+
-# full 32 demos
|
| 20 |
+
-# wandb_run_id: "265625" # RGBD history seed 0
|
| 21 |
+
-# wandb_run_id: "266370_1" # RGBD history seed 1
|
| 22 |
+
-# wandb_run_id: "266370_2" # RGBD history seed 2
|
| 23 |
+
-# wandb_run_id: "266382_4" # RGBD history seed 4
|
| 24 |
+
-
|
| 25 |
+
-# 16 held out demos (16 demos)
|
| 26 |
+
-# wandb_run_id: "266392_0" # RGBD+act history dataset seed 0
|
| 27 |
+
-# wandb_run_id: "266407_0" # RGBD+act history dataset seed 1
|
| 28 |
+
-wandb_run_id: "266406_0" # RGBD+act history dataset seed 2
|
| 29 |
+
-
|
| 30 |
+
-# wandb_run_id: "265626" # RGBD+Mask+act history seed 0
|
| 31 |
+
-# wandb_run_id: "265638" # RGBD+Mask+act history seed 1
|
| 32 |
+
-# wandb_run_id: "265637" # RGBD+Mask+act history seed 2
|
| 33 |
+
-# wandb_run_id: "265636" # RGBD+Mask+act history seed 3
|
| 34 |
+
-# wandb_run_id: "265635" # RGBD+Mask+act history seed 4
|
| 35 |
+
-
|
| 36 |
+
-# wandb_run_id: "265628" # RGBD+Mask+contact+act history seed 0
|
| 37 |
+
-# wandb_run_id: "265630" # RGBD+Mask+contact+act history seed 1
|
| 38 |
+
-# wandb_run_id: "265631" # RGBD+Mask+contact+act history seed 2
|
| 39 |
+
-# wandb_run_id: "265633" # RGBD+Mask+contact+act history seed 3
|
| 40 |
+
-# wandb_run_id: "265634" # RGBD+Mask+contact+act history seed 4
|
| 41 |
+
-
|
| 42 |
+
-# 8 held out demos (26 demos)
|
| 43 |
+
-# wandb_run_id: "265652" # RGBD+Mask+contact+act history dataset seed 0
|
| 44 |
+
-# wandb_run_id: "265654" # RGBD+Mask+contact+act history dataset seed 1
|
| 45 |
+
-# wandb_run_id: "265655" # RGBD+Mask+contact+act history dataset seed 2
|
| 46 |
+
-
|
| 47 |
+
-# 8 held out demos (26 demos)
|
| 48 |
+
-# wandb_run_id: "265656" # RGBD+Mask+act history dataset seed 0
|
| 49 |
+
-# wandb_run_id: "265657" # RGBD+Mask+act history dataset seed 1
|
| 50 |
+
-# wandb_run_id: "265658" # RGBD+Mask+act history dataset seed 2
|
| 51 |
+
-
|
| 52 |
+
-# 16 held out demos (16 demos)
|
| 53 |
+
-# wandb_run_id: "265641" # RGBD+Mask+act history dataset seed 0
|
| 54 |
+
-# wandb_run_id: "265644" # RGBD+Mask+act history dataset seed 1
|
| 55 |
+
-# wandb_run_id: "265645" # RGBD+Mask+act history dataset seed 2
|
| 56 |
+
-# wandb_run_id: "266381_0" # RGBD+Mask+act history dataset seed 4
|
| 57 |
+
-
|
| 58 |
+
-# 16 held out demos (16 demos)
|
| 59 |
+
-# wandb_run_id: "265646" # RGBD+Mask+Contact+act history dataset seed 0
|
| 60 |
+
-# wandb_run_id: "265649" # RGBD+Mask+Contact+act history dataset seed 1
|
| 61 |
+
-# wandb_run_id: "265650" # RGBD+Mask+Contact+act history dataset seed 2
|
| 62 |
+
-# wandb_run_id: "266378_0" # RGBD+Mask+Contact+act history dataset seed 4
|
| 63 |
+
-
|
| 64 |
+
-
|
| 65 |
+
-
|
| 66 |
+
-
|
| 67 |
+
-# 54_240x320_hbm_twodim_fps_fix_annotated_start_idx_5hz_zstd7_EE_pxl_coords_expert_demos_imp_act
|
| 68 |
+
-# full dataset
|
| 69 |
+
-# 6 step action history
|
| 70 |
+
-# wandb_run_id: '250358_0' # RGBD+act history
|
| 71 |
+
-# wandb_run_id: '250371_0' # RGBD+mask+act history
|
| 72 |
+
-# wandb_run_id: '250366_0' # RGBD+contact+act history
|
| 73 |
+
-# wandb_run_id: '250376_0' # RGBD+mask+contact+act history
|
| 74 |
+
-# wandb_run_id: '250366_0' # RGBD+contact+act history
|
| 75 |
+
-
|
| 76 |
+
-# 54_240x320_hbm_twodim_fps_fix_annotated_start_idx_5hz_zstd7_EE_pxl_coords_expert_demos_imp_act
|
| 77 |
+
-# 16 held out demos
|
| 78 |
+
-# wandb_run_id: '250362_0' # RGBD+act history
|
| 79 |
+
-# wandb_run_id: '250373_0' # RGBD+mask+act history
|
| 80 |
+
-# wandb_run_id: '250378_0' # RGBD+mask+contact+act history
|
| 81 |
+
-# wandb_run_id: '250368_0' # RGBD+contact+act history
|
| 82 |
+
-
|
| 83 |
+
-# 54_240x320_hbm_twodim_fps_fix_annotated_start_idx_5hz_zstd7_EE_pxl_coords_expert_demos_imp_act
|
| 84 |
+
-# 32 held out demos
|
| 85 |
+
-# wandb_run_id: '250365_0' # RGBD+act history
|
| 86 |
+
-# wandb_run_id: '250375_0' # RGBD+mask+act history
|
| 87 |
+
-wandb_run_id: '250380_0' # RGBD+mask+contact+act history
|
| 88 |
+
-# wandb_run_id: '250370_0' # RGBD+contact+act history
|
| 89 |
+
-# 4 step action history
|
| 90 |
+
-# wandb_run_id: '264772_0' # RGBD+act history
|
| 91 |
+
-# wandb_run_id: '264775_0' # RGBD+mask+act history
|
| 92 |
+
-# wandb_run_id: '264776_0' # RGBD+contact+act history
|
| 93 |
+
-# wandb_run_id: '264777_0' # RGBD+mask+contact+act history
|
| 94 |
+
-
|
| 95 |
+
-# 54_240x320_hbm_twodim_fps_fix_annotated_start_idx_5hz_zstd7_EE_pxl_coords_expert_demos_imp_act
|
| 96 |
+
-# 16 held out demos
|
| 97 |
+
-# wandb_run_id: '250362_0' # RGBD+act history
|
| 98 |
+
-# wandb_run_id: '250373_0' # RGBD+mask+act history
|
| 99 |
+
-# wandb_run_id: '250378_0' # RGBD+mask+contact+act history
|
| 100 |
+
-# wandb_run_id: '250368_0' # RGBD+contact+act history
|
| 101 |
+
+# 112_240x320_all_twodim_left_to_right_annotated_start_idx_5hz_zstd7_EE_pxl_coords_expert_demos_imp_act
|
| 102 |
+
+# 14 demos
|
| 103 |
+
+
|
| 104 |
+
+# RGBD+act history
|
| 105 |
+
+# wandb_run_id: '497_0' # german
|
| 106 |
+
+# wandb_run_id: '505_0' # hbm
|
| 107 |
+
+# wandb_run_id: '506_0' # lady
|
| 108 |
+
+# wandb_run_id: '507_0' # greece
|
| 109 |
+
+# wandb_run_id: '508_0' # fowlers
|
| 110 |
+
+# wandb_run_id: '509_0' # lib
|
| 111 |
+
+# wandb_run_id: '510_0' # modelsys
|
| 112 |
+
+wandb_run_id: '511_0' # electrodyn
|
| 113 |
+
+
|
| 114 |
+
+# RGBD+mask+act history
|
| 115 |
+
+# wandb_run_id: '512_0' # german
|
| 116 |
+
+# wandb_run_id: '520_0' # hbm
|
| 117 |
+
+# wandb_run_id: '521_0' # lady
|
| 118 |
+
+# wandb_run_id: '522_0' # greece
|
| 119 |
+
+# wandb_run_id: '523_0' # fowlers
|
| 120 |
+
+# wandb_run_id: '524_0' # lib
|
| 121 |
+
+# wandb_run_id: '525_0' # modelsys
|
| 122 |
+
+# wandb_run_id: '526_0' # electrodyn
|
| 123 |
+
|
| 124 |
+
# 54_240x320_hbm_twodim_fps_fix_annotated_start_idx_5hz_zstd7_EE_pxl_coords_expert_demos_imp_act
|
| 125 |
+
# 32 held out demos
|
| 126 |
+
diff --git a/FISH/download_model_checkpoints.py b/FISH/download_model_checkpoints.py
|
| 127 |
+
index 9406a46..0f225ec 100644
|
| 128 |
+
--- a/FISH/download_model_checkpoints.py
|
| 129 |
+
+++ b/FISH/download_model_checkpoints.py
|
| 130 |
+
@@ -15,12 +15,24 @@ if not local_checkpoint_root_dir.exists():
|
| 131 |
+
local_checkpoint_root_dir.mkdir(parents=True)
|
| 132 |
+
|
| 133 |
+
# Download the model checkpoints
|
| 134 |
+
-remote_checkpoint_root_dir = Path('/mnt/grasp_high_usage/leonmkim/contact_estimation/FISH/exp_local/frankagym_pixels/FrankaInsertion-v1')
|
| 135 |
+
+# remote_checkpoint_root_dir = Path('/mnt/grasp_high_usage/leonmkim/contact_estimation/FISH/exp_local/frankagym_pixels/FrankaInsertion-v1')
|
| 136 |
+
+remote_checkpoint_root_dir = Path('/mnt/kostas-graid/datasets/extrinsic_contact_data/FISH/exp_local/frankagym_pixels/FrankaInsertion-v1')
|
| 137 |
+
remote_checkpoint_root_dir = remote_checkpoint_root_dir.expanduser()
|
| 138 |
+
remote_username = 'leonmkim'
|
| 139 |
+
-remote_host = 'halley'
|
| 140 |
+
+remote_host = 'grasp-login1'
|
| 141 |
+
|
| 142 |
+
#180x240_1_RGB_D_2.0_msk_channels_EE_obj_mask_acthst_hst6_out32_dwnkrnl3_dwnstrd2_dwnpd1
|
| 143 |
+
+# run_id_list = [
|
| 144 |
+
+# '512_0', # german
|
| 145 |
+
+# '520_0', # hbm
|
| 146 |
+
+# '521_0', # lady
|
| 147 |
+
+# '522_0', # greece
|
| 148 |
+
+# '523_0', # fowlers
|
| 149 |
+
+# '524_0', # lib
|
| 150 |
+
+# '525_0', # modelsys
|
| 151 |
+
+# '526_0', # electrodyn
|
| 152 |
+
+# ]
|
| 153 |
+
+
|
| 154 |
+
# run_id_list = [
|
| 155 |
+
# '265638',
|
| 156 |
+
# '265637',
|
| 157 |
+
@@ -75,6 +87,17 @@ remote_host = 'halley'
|
| 158 |
+
# ]
|
| 159 |
+
|
| 160 |
+
# 180x240_1_RGB_D_2.0_acthst_hst6_out32_dwnkrnl3_dwnstrd2_dwnpd1
|
| 161 |
+
+# run_id_list = [
|
| 162 |
+
+# '497_0', # german
|
| 163 |
+
+# '505_0', # hbm
|
| 164 |
+
+# '506_0', # lady
|
| 165 |
+
+# '507_0', # greece
|
| 166 |
+
+# '508_0', # fowlers
|
| 167 |
+
+# '509_0', # lib
|
| 168 |
+
+# '510_0', # modelsys
|
| 169 |
+
+# '511_0', # electrodyn
|
| 170 |
+
+# ]
|
| 171 |
+
+
|
| 172 |
+
# run_id_list = [
|
| 173 |
+
# '266382_4',
|
| 174 |
+
# '266370_2',
|
| 175 |
+
@@ -116,13 +139,13 @@ remote_host = 'halley'
|
| 176 |
+
# ]
|
| 177 |
+
|
| 178 |
+
# 180x240_1_RGB_D_2.0_cntct_0.1_DTC_clmpd_lrnbl_nrmls_DTCmask_adpt_lrnbl_both_lr_0.0001_wd_0.0_local_multitask_outhd64all_home_crop_h144w144d48_ctxt_seed_183386_epoch_9_acthst_hst6_out32_dwnkrnl3_dwnstrd2_dwnpd1
|
| 179 |
+
-run_id_list = [
|
| 180 |
+
- # '266384_4,# not yet available
|
| 181 |
+
- '266372_1',
|
| 182 |
+
- '266372_2',
|
| 183 |
+
- '265627',
|
| 184 |
+
- '265620',
|
| 185 |
+
-]
|
| 186 |
+
+# run_id_list = [
|
| 187 |
+
+# # '266384_4,# not yet available
|
| 188 |
+
+# '266372_1',
|
| 189 |
+
+# '266372_2',
|
| 190 |
+
+# '265627',
|
| 191 |
+
+# '265620',
|
| 192 |
+
+# ]
|
| 193 |
+
checkpoint_epoch = 12000
|
| 194 |
+
|
| 195 |
+
# use subprocess to download the model checkpoints in parallel
|
221701/wandb/run-20241217_221707-sqbcnf7o/files/media/videos/eval/0_eval_0_886132ad98d0c31f9311.mp4
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:886132ad98d0c31f9311d14dc2c5dee96950b1fe323b0a6a400944af3ea141eb
|
| 3 |
+
size 1184434
|
221701/wandb/run-20241217_221707-sqbcnf7o/files/media/videos/eval/1_eval_1_c21bfe5dd150e694f7bd.mp4
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:c21bfe5dd150e694f7bd94f2e139debe647342304be95bebc39275ea751bb871
|
| 3 |
+
size 1135643
|
221701/wandb/run-20241217_221707-sqbcnf7o/files/media/videos/eval/2_eval_2_312f8f530abaf399946b.mp4
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:312f8f530abaf399946b180b4b5ce328adf569df1b7b33eaa17f0cfeedd8eb91
|
| 3 |
+
size 1245998
|
221701/wandb/run-20241217_221707-sqbcnf7o/files/media/videos/eval/3_eval_3_91b538bdbc0a7862dd54.mp4
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:91b538bdbc0a7862dd5409e3da19096cc22293420c230d1c32a5d9068e4ad636
|
| 3 |
+
size 1283821
|
221701/wandb/run-20241217_221707-sqbcnf7o/files/media/videos/eval/4_eval_4_fdb67280e4956e7c7ab4.mp4
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fdb67280e4956e7c7ab41f1c04fc31828780e6e74dad0aec932ba4621892bbb8
|
| 3 |
+
size 1291419
|
221701/wandb/run-20241217_221707-sqbcnf7o/files/output.log
ADDED
|
@@ -0,0 +1,223 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
|
| 2 |
+
loaded agent with feature_type: 180x240_1_RGB_D_2.0_acthst_hst6_out32_dwnkrnl3_dwnstrd2_dwnpd1
|
| 3 |
+
[INFO] [1734491833.846049]: resetting environment
|
| 4 |
+
[INFO] [1734491833.847335]: cleared current plan
|
| 5 |
+
[INFO] [1734491833.849804]: moving to home
|
| 6 |
+
[INFO] [1734491836.052531]: reached home
|
| 7 |
+
[INFO] [1734491836.054112]: reset action history
|
| 8 |
+
[INFO] [1734491838.763563]: environment reset
|
| 9 |
+
Starting episode 0
|
| 10 |
+
[INFO] [1734491838.765642]: resetting environment
|
| 11 |
+
[INFO] [1734491838.766500]: cleared current plan
|
| 12 |
+
[INFO] [1734491838.767396]: moving to home
|
| 13 |
+
[INFO] [1734491839.769288]: reached home
|
| 14 |
+
[INFO] [1734491839.770739]: reset action history
|
| 15 |
+
[INFO] [1734491842.478743]: environment reset
|
| 16 |
+
Press Enter to continue... after reseting env. To rate prev episode, press 0 for failure and 1 for success
|
| 17 |
+
proceeding to start episode!
|
| 18 |
+
[INFO] [1734491844.741133]: resetting environment
|
| 19 |
+
[INFO] [1734491844.742833]: cleared current plan
|
| 20 |
+
[INFO] [1734491844.743701]: moving to home
|
| 21 |
+
[INFO] [1734491845.747870]: reached home
|
| 22 |
+
[INFO] [1734491845.749872]: reset action history
|
| 23 |
+
[INFO] [1734491848.457115]: environment reset
|
| 24 |
+
bag_path_name:=/home/leonmkim/fish_leon/FISH/exp_local/frankagym_pixels/FrankaInsertion-v1/511_0/221701/episode_rosbags/episode_0_2024-12-17-22-17-28.bag
|
| 25 |
+
... logging to /home/leonmkim/.ros/log/94e09230-bcdd-11ef-96d2-5defea869005/roslaunch-leonmkim-ROG-Strix-G15CS-G15CS-84391.log
|
| 26 |
+
[1mstarted roslaunch server http://158.130.50.37:45207/
|
| 27 |
+
SUMMARY
|
| 28 |
+
========
|
| 29 |
+
PARAMETERS
|
| 30 |
+
* /rosdistro: noetic
|
| 31 |
+
* /rosversion: 1.16.0
|
| 32 |
+
NODES
|
| 33 |
+
/
|
| 34 |
+
print_text (rostopic/rostopic)
|
| 35 |
+
pub_text (rostopic/rostopic)
|
| 36 |
+
rosbag_record (rosbag/record)
|
| 37 |
+
[1mROS_MASTER_URI=http://localhost:11311
|
| 38 |
+
[1mprocess[pub_text-1]: started with pid [84702]
|
| 39 |
+
[1mprocess[print_text-2]: started with pid [84703]
|
| 40 |
+
[1mprocess[rosbag_record-3]: started with pid [84704]
|
| 41 |
+
started bagging!
|
| 42 |
+
For topic gripper_width: timestamp difference is -109711782 for nearest: 1734491850298011645 - target: 1734491850407723427 at idx 31
|
| 43 |
+
For topic gripper_width: timestamp difference is -110186509 for nearest: 1734491854498027631 - target: 1734491854608214140 at idx 91
|
| 44 |
+
For topic gripper_width: timestamp difference is -106731675 for nearest: 1734491858898039081 - target: 1734491859004770756 at idx 142
|
| 45 |
+
For topic gripper_width: timestamp difference is -104340164 for nearest: 1734491861898012789 - target: 1734491862002352953 at idx 178
|
| 46 |
+
For topic gripper_width: timestamp difference is -105522727 for nearest: 1734491869898045684 - target: 1734491870003568411 at idx 249
|
| 47 |
+
For topic gripper_width: timestamp difference is -101851860 for nearest: 1734491871698060831 - target: 1734491871799912691 at idx 249
|
| 48 |
+
[INFO] [1734491875.288220]: Storing episode...
|
| 49 |
+
[rosbag_record-3] killing on exit
|
| 50 |
+
[print_text-2] killing on exit
|
| 51 |
+
[pub_text-1] killing on exit
|
| 52 |
+
[INFO] [1734491876.013628]: Stored episode 1.
|
| 53 |
+
[INFO] [1734491876.015687]: Saving video...
|
| 54 |
+
[INFO] [1734491876.210772]: Video saved!
|
| 55 |
+
Starting episode 1
|
| 56 |
+
[INFO] [1734491876.226238]: resetting environment
|
| 57 |
+
[INFO] [1734491876.226459]: cleared current plan
|
| 58 |
+
[INFO] [1734491876.226963]: moving to home
|
| 59 |
+
[INFO] [1734491879.429263]: reached home
|
| 60 |
+
[INFO] [1734491879.429749]: reset action history
|
| 61 |
+
[INFO] [1734491882.141263]: environment reset
|
| 62 |
+
Press Enter to continue... after reseting env. To rate prev episode, press 0 for failure and 1 for success
|
| 63 |
+
proceeding to start episode!
|
| 64 |
+
[INFO] [1734491884.260438]: resetting environment
|
| 65 |
+
[INFO] [1734491884.261181]: cleared current plan
|
| 66 |
+
[INFO] [1734491884.261426]: moving to home
|
| 67 |
+
[INFO] [1734491885.262947]: reached home
|
| 68 |
+
[INFO] [1734491885.263611]: reset action history
|
| 69 |
+
[INFO] [1734491887.969921]: environment reset
|
| 70 |
+
bag_path_name:=/home/leonmkim/fish_leon/FISH/exp_local/frankagym_pixels/FrankaInsertion-v1/511_0/221701/episode_rosbags/episode_1_2024-12-17-22-18-07.bag
|
| 71 |
+
... logging to /home/leonmkim/.ros/log/94e09230-bcdd-11ef-96d2-5defea869005/roslaunch-leonmkim-ROG-Strix-G15CS-G15CS-84391.log
|
| 72 |
+
[1mstarted roslaunch server http://158.130.50.37:41307/
|
| 73 |
+
SUMMARY
|
| 74 |
+
========
|
| 75 |
+
PARAMETERS
|
| 76 |
+
* /rosdistro: noetic
|
| 77 |
+
* /rosversion: 1.16.0
|
| 78 |
+
NODES
|
| 79 |
+
/
|
| 80 |
+
print_text (rostopic/rostopic)
|
| 81 |
+
pub_text (rostopic/rostopic)
|
| 82 |
+
rosbag_record (rosbag/record)
|
| 83 |
+
[1mROS_MASTER_URI=http://localhost:11311
|
| 84 |
+
[1mprocess[pub_text-4]: started with pid [84819]
|
| 85 |
+
[1mprocess[print_text-5]: started with pid [84820]
|
| 86 |
+
[1mprocess[rosbag_record-6]: started with pid [84821]
|
| 87 |
+
started bagging!
|
| 88 |
+
For topic gripper_width: timestamp difference is -129322082 for nearest: 1734491913898010701 - target: 1734491914027332783 at idx 249
|
| 89 |
+
[INFO] [1734491914.717205]: Storing episode...
|
| 90 |
+
[rosbag_record-6] killing on exit
|
| 91 |
+
[pub_text-4] killing on exit
|
| 92 |
+
[print_text-5] killing on exit
|
| 93 |
+
[INFO] [1734491915.487627]: Stored episode 2.
|
| 94 |
+
[INFO] [1734491915.487967]: Saving video...
|
| 95 |
+
[INFO] [1734491915.877498]: Video saved!
|
| 96 |
+
Starting episode 2
|
| 97 |
+
[INFO] [1734491915.944671]: resetting environment
|
| 98 |
+
[INFO] [1734491915.957308]: cleared current plan
|
| 99 |
+
[INFO] [1734491915.973571]: moving to home
|
| 100 |
+
[INFO] [1734491919.787966]: reached home
|
| 101 |
+
[INFO] [1734491919.799530]: reset action history
|
| 102 |
+
[INFO] [1734491922.641267]: environment reset
|
| 103 |
+
Press Enter to continue... after reseting env. To rate prev episode, press 0 for failure and 1 for success
|
| 104 |
+
proceeding to start episode![INFO] [1734491932.086970]: resetting environment
|
| 105 |
+
[INFO] [1734491932.098732]: cleared current plan
|
| 106 |
+
[INFO] [1734491932.104779]: moving to home
|
| 107 |
+
[INFO] [1734491933.128375]: reached home
|
| 108 |
+
[INFO] [1734491933.139505]: reset action history
|
| 109 |
+
[INFO] [1734491935.969273]: environment reset
|
| 110 |
+
bag_path_name:=/home/leonmkim/fish_leon/FISH/exp_local/frankagym_pixels/FrankaInsertion-v1/511_0/221701/episode_rosbags/episode_2_2024-12-17-22-18-55.bag
|
| 111 |
+
... logging to /home/leonmkim/.ros/log/94e09230-bcdd-11ef-96d2-5defea869005/roslaunch-leonmkim-ROG-Strix-G15CS-G15CS-84391.log
|
| 112 |
+
[1mstarted roslaunch server http://158.130.50.37:39349/
|
| 113 |
+
SUMMARY
|
| 114 |
+
========
|
| 115 |
+
PARAMETERS
|
| 116 |
+
* /rosdistro: noetic
|
| 117 |
+
* /rosversion: 1.16.0
|
| 118 |
+
NODES
|
| 119 |
+
/
|
| 120 |
+
print_text (rostopic/rostopic)
|
| 121 |
+
pub_text (rostopic/rostopic)
|
| 122 |
+
rosbag_record (rosbag/record)
|
| 123 |
+
[1mROS_MASTER_URI=http://localhost:11311
|
| 124 |
+
[1mprocess[pub_text-7]: started with pid [84974]
|
| 125 |
+
[1mprocess[print_text-8]: started with pid [84975]
|
| 126 |
+
[1mprocess[rosbag_record-9]: started with pid [84976]
|
| 127 |
+
started bagging!
|
| 128 |
+
[INFO] [1734491964.518884]: Storing episode...
|
| 129 |
+
[print_text-8] killing on exit
|
| 130 |
+
[rosbag_record-9] killing on exit
|
| 131 |
+
[pub_text-7] killing on exit
|
| 132 |
+
[INFO] [1734491965.369236]: Stored episode 3.
|
| 133 |
+
[INFO] [1734491965.387140]: Saving video...
|
| 134 |
+
[INFO] [1734491965.630860]: Video saved!
|
| 135 |
+
Starting episode 3
|
| 136 |
+
[INFO] [1734491965.692554]: resetting environment
|
| 137 |
+
[INFO] [1734491965.698086]: cleared current plan
|
| 138 |
+
[INFO] [1734491965.699894]: moving to home
|
| 139 |
+
[INFO] [1734491969.509999]: reached home
|
| 140 |
+
[INFO] [1734491969.514150]: reset action history
|
| 141 |
+
[INFO] [1734491972.371009]: environment reset
|
| 142 |
+
Press Enter to continue... after reseting env. To rate prev episode, press 0 for failure and 1 for success
|
| 143 |
+
proceeding to start episode![INFO] [1734491976.167610]: resetting environment
|
| 144 |
+
[INFO] [1734491976.182231]: cleared current plan
|
| 145 |
+
[INFO] [1734491976.192721]: moving to home
|
| 146 |
+
[INFO] [1734491977.196391]: reached home
|
| 147 |
+
[INFO] [1734491977.198185]: reset action history
|
| 148 |
+
[INFO] [1734491980.001106]: environment reset
|
| 149 |
+
bag_path_name:=/home/leonmkim/fish_leon/FISH/exp_local/frankagym_pixels/FrankaInsertion-v1/511_0/221701/episode_rosbags/episode_3_2024-12-17-22-19-40.bag
|
| 150 |
+
... logging to /home/leonmkim/.ros/log/94e09230-bcdd-11ef-96d2-5defea869005/roslaunch-leonmkim-ROG-Strix-G15CS-G15CS-84391.log
|
| 151 |
+
[1mstarted roslaunch server http://158.130.50.37:33129/
|
| 152 |
+
SUMMARY
|
| 153 |
+
========
|
| 154 |
+
PARAMETERS
|
| 155 |
+
* /rosdistro: noetic
|
| 156 |
+
* /rosversion: 1.16.0
|
| 157 |
+
NODES
|
| 158 |
+
/
|
| 159 |
+
print_text (rostopic/rostopic)
|
| 160 |
+
pub_text (rostopic/rostopic)
|
| 161 |
+
rosbag_record (rosbag/record)
|
| 162 |
+
[1mROS_MASTER_URI=http://localhost:11311
|
| 163 |
+
[1mprocess[pub_text-10]: started with pid [85103]
|
| 164 |
+
[1mprocess[print_text-11]: started with pid [85104]
|
| 165 |
+
[1mprocess[rosbag_record-12]: started with pid [85105]
|
| 166 |
+
started bagging!
|
| 167 |
+
[INFO] [1734492010.009368]: Storing episode...
|
| 168 |
+
[rosbag_record-12] killing on exit
|
| 169 |
+
[print_text-11] killing on exit
|
| 170 |
+
[pub_text-10] killing on exit
|
| 171 |
+
[INFO] [1734492010.816927]: Stored episode 4.
|
| 172 |
+
[INFO] [1734492010.828678]: Saving video...
|
| 173 |
+
[INFO] [1734492011.050094]: Video saved!
|
| 174 |
+
Starting episode 4
|
| 175 |
+
[INFO] [1734492011.138505]: resetting environment
|
| 176 |
+
[INFO] [1734492011.141005]: cleared current plan
|
| 177 |
+
[INFO] [1734492011.147700]: moving to home
|
| 178 |
+
[INFO] [1734492014.972568]: reached home
|
| 179 |
+
[INFO] [1734492014.985195]: reset action history
|
| 180 |
+
[INFO] [1734492017.778256]: environment reset
|
| 181 |
+
Press Enter to continue... after reseting env. To rate prev episode, press 0 for failure and 1 for success
|
| 182 |
+
proceeding to start episode![INFO] [1734492027.125289]: resetting environment
|
| 183 |
+
[INFO] [1734492027.131171]: cleared current plan
|
| 184 |
+
[INFO] [1734492027.134957]: moving to home
|
| 185 |
+
[INFO] [1734492028.157503]: reached home
|
| 186 |
+
[INFO] [1734492028.161432]: reset action history
|
| 187 |
+
[INFO] [1734492030.960144]: environment reset
|
| 188 |
+
bag_path_name:=/home/leonmkim/fish_leon/FISH/exp_local/frankagym_pixels/FrankaInsertion-v1/511_0/221701/episode_rosbags/episode_4_2024-12-17-22-20-30.bag
|
| 189 |
+
... logging to /home/leonmkim/.ros/log/94e09230-bcdd-11ef-96d2-5defea869005/roslaunch-leonmkim-ROG-Strix-G15CS-G15CS-84391.log
|
| 190 |
+
[1mstarted roslaunch server http://158.130.50.37:34115/
|
| 191 |
+
SUMMARY
|
| 192 |
+
========
|
| 193 |
+
PARAMETERS
|
| 194 |
+
* /rosdistro: noetic
|
| 195 |
+
* /rosversion: 1.16.0
|
| 196 |
+
NODES
|
| 197 |
+
/
|
| 198 |
+
print_text (rostopic/rostopic)
|
| 199 |
+
pub_text (rostopic/rostopic)
|
| 200 |
+
rosbag_record (rosbag/record)
|
| 201 |
+
[1mROS_MASTER_URI=http://localhost:11311
|
| 202 |
+
[1mprocess[pub_text-13]: started with pid [85231]
|
| 203 |
+
[1mprocess[print_text-14]: started with pid [85232]
|
| 204 |
+
[1mprocess[rosbag_record-15]: started with pid [85233]
|
| 205 |
+
started bagging!
|
| 206 |
+
For topic gripper_width: timestamp difference is -113954444 for nearest: 1734492056298041921 - target: 1734492056411996365 at idx 249
|
| 207 |
+
For topic gripper_width: timestamp difference is -110685606 for nearest: 1734492060298010092 - target: 1734492060408695698 at idx 249
|
| 208 |
+
For topic gripper_width: timestamp difference is -110269352 for nearest: 1734492060897959904 - target: 1734492061008229256 at idx 249
|
| 209 |
+
[INFO] [1734492061.671327]: Storing episode...
|
| 210 |
+
[rosbag_record-15] killing on exit
|
| 211 |
+
[print_text-14] killing on exit
|
| 212 |
+
[pub_text-13] killing on exit
|
| 213 |
+
[INFO] [1734492062.525259]: Stored episode 5.
|
| 214 |
+
[INFO] [1734492062.533330]: Saving video...
|
| 215 |
+
[INFO] [1734492062.748301]: Video saved!
|
| 216 |
+
[INFO] [1734492062.799201]: resetting environment
|
| 217 |
+
[INFO] [1734492062.815422]: cleared current plan
|
| 218 |
+
[INFO] [1734492062.826227]: moving to home
|
| 219 |
+
[INFO] [1734492066.650764]: reached home
|
| 220 |
+
[INFO] [1734492066.660339]: reset action history
|
| 221 |
+
[INFO] [1734492069.590726]: environment reset
|
| 222 |
+
Evaluation finished. To wrap up, rate prev episode, press 0 for failure and 1 for success
|
| 223 |
+
proceeding to start episode!
|
221701/wandb/run-20241217_221707-sqbcnf7o/files/requirements.txt
ADDED
|
@@ -0,0 +1,339 @@
|
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|
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|
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|
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|
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|
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|
|
|
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|
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|
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|
|
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|
|
|
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|
|
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|
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|
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|
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|
|
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|
|
|
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|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
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|
|
|
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|
|
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|
|
|
|
|
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|
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|
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|
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|
|
|
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|
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|
|
|
|
| 1 |
+
Cython==3.0.10
|
| 2 |
+
Farama-Notifications==0.0.4
|
| 3 |
+
GitPython==3.1.43
|
| 4 |
+
Jinja2==3.1.4
|
| 5 |
+
Markdown==3.6
|
| 6 |
+
MarkupSafe==2.1.5
|
| 7 |
+
POT==0.7.0
|
| 8 |
+
PyOpenGL==3.1.7
|
| 9 |
+
PySocks==1.7.1
|
| 10 |
+
PyYAML==6.0.1
|
| 11 |
+
Pygments==2.18.0
|
| 12 |
+
Rtree==1.3.0
|
| 13 |
+
Werkzeug==3.0.3
|
| 14 |
+
absl-py==2.1.0
|
| 15 |
+
accelerate==0.33.0
|
| 16 |
+
actionlib-msgs==1.13.0.post3
|
| 17 |
+
actionlib==1.12.0
|
| 18 |
+
actionlib==1.14.0
|
| 19 |
+
aiohttp==3.9.5
|
| 20 |
+
aiosignal==1.3.1
|
| 21 |
+
angles==1.9.13
|
| 22 |
+
antlr4-python3-runtime==4.9.3
|
| 23 |
+
anyio==4.4.0
|
| 24 |
+
asciitree==0.3.3
|
| 25 |
+
async-timeout==4.0.3
|
| 26 |
+
attrs==23.2.0
|
| 27 |
+
autoprop==4.1.0
|
| 28 |
+
beartype==0.18.5
|
| 29 |
+
beautifulsoup4==4.12.3
|
| 30 |
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bondpy==1.8.6
|
| 31 |
+
byol-pytorch==0.8.0
|
| 32 |
+
cachetools==5.4.0
|
| 33 |
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camera-calibration-parsers==1.12.0
|
| 34 |
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camera-calibration==1.17.0
|
| 35 |
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cascadio==0.0.13
|
| 36 |
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catkin-pkg==1.0.0
|
| 37 |
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catkin==0.7.18
|
| 38 |
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catkin==0.8.10
|
| 39 |
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certifi==2024.7.4
|
| 40 |
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cffi==1.16.0
|
| 41 |
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|
| 42 |
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charset-normalizer==3.3.2
|
| 43 |
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click==8.1.7
|
| 44 |
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cloudpickle==3.0.0
|
| 45 |
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cmake==3.30.1
|
| 46 |
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colorlog==6.8.2
|
| 47 |
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contourpy==1.2.1
|
| 48 |
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controller-manager-msgs==0.20.0
|
| 49 |
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|
| 50 |
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coverage==7.6.0
|
| 51 |
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coveralls==4.0.1
|
| 52 |
+
cv-bridge==1.16.2
|
| 53 |
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cycler==0.12.1
|
| 54 |
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datasets==2.20.0
|
| 55 |
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decorator==4.4.2
|
| 56 |
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deepdiff==7.0.1
|
| 57 |
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defusedxml==0.7.1
|
| 58 |
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diagnostic-analysis==1.11.0
|
| 59 |
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diagnostic-common-diagnostics==1.11.0
|
| 60 |
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diagnostic-updater==1.11.0
|
| 61 |
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|
| 62 |
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dill==0.3.8
|
| 63 |
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distro==1.9.0
|
| 64 |
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dm-control==1.0.8
|
| 65 |
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dm-env==1.6
|
| 66 |
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dm-tree==0.1.8
|
| 67 |
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docker-pycreds==0.4.0
|
| 68 |
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docopt==0.6.2
|
| 69 |
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|
| 70 |
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|
| 71 |
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einops==0.8.0
|
| 72 |
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embreex==2.17.7.post5
|
| 73 |
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|
| 74 |
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etils==1.7.0
|
| 75 |
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|
| 76 |
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ezdxf==1.3.2
|
| 77 |
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fasteners==0.19
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| 78 |
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filelock==3.15.4
|
| 79 |
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|
| 80 |
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freetype-py==2.4.0
|
| 81 |
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|
| 82 |
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|
| 83 |
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gazebo_plugins==2.9.2
|
| 84 |
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|
| 85 |
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gdown==5.2.0
|
| 86 |
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gencpp==0.7.0
|
| 87 |
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|
| 88 |
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genlisp==0.4.18
|
| 89 |
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genmsg==0.5.12
|
| 90 |
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genmsg==0.6.0
|
| 91 |
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gennodejs==2.0.2
|
| 92 |
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genpy==0.6.14
|
| 93 |
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genpy==0.6.15
|
| 94 |
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geometry-msgs==1.13.0.post2
|
| 95 |
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gitdb==4.0.11
|
| 96 |
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glfw==2.7.0
|
| 97 |
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glooey==0.3.6
|
| 98 |
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|
| 99 |
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gnupg==2.3.1
|
| 100 |
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google-auth-oauthlib==1.0.0
|
| 101 |
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google-auth==2.32.0
|
| 102 |
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grpcio==1.65.1
|
| 103 |
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gym-envs==0.0.1
|
| 104 |
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gym-notices==0.0.8
|
| 105 |
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gym==0.22.0
|
| 106 |
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gymnasium==0.29.1
|
| 107 |
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h11==0.14.0
|
| 108 |
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h5py==3.11.0
|
| 109 |
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hf_transfer==0.1.8
|
| 110 |
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httpcore==1.0.5
|
| 111 |
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httpx==0.27.0
|
| 112 |
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huggingface-hub==0.23.5
|
| 113 |
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hydra-core==1.3.2
|
| 114 |
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hydra-submitit-launcher==1.2.0
|
| 115 |
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idna==3.7
|
| 116 |
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image-geometry==1.16.2
|
| 117 |
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imageio-ffmpeg==0.5.1
|
| 118 |
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imageio==2.34.2
|
| 119 |
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importlib_metadata==8.2.0
|
| 120 |
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importlib_resources==6.4.0
|
| 121 |
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|
| 122 |
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interactive-markers==1.12.0
|
| 123 |
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joint-state-publisher-gui==1.15.1
|
| 124 |
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joint-state-publisher==1.15.1
|
| 125 |
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jsonschema-specifications==2023.12.1
|
| 126 |
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|
| 127 |
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kiwisolver==1.4.5
|
| 128 |
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|
| 129 |
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|
| 130 |
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labmaze==1.0.6
|
| 131 |
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|
| 132 |
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|
| 133 |
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lerobot==0.1.0
|
| 134 |
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|
| 135 |
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llvmlite==0.43.0
|
| 136 |
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|
| 137 |
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manifold3d==2.5.1
|
| 138 |
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mapbox-earcut==1.0.1
|
| 139 |
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markdown-it-py==3.0.0
|
| 140 |
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matplotlib==3.9.1
|
| 141 |
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|
| 142 |
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meshio==5.3.5
|
| 143 |
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message-filters==1.16.0
|
| 144 |
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more-itertools==10.3.0
|
| 145 |
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|
| 146 |
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mpmath==1.3.0
|
| 147 |
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|
| 148 |
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|
| 149 |
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|
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|
| 151 |
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|
| 152 |
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networkx==3.3
|
| 153 |
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nodeenv==1.9.1
|
| 154 |
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|
| 155 |
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|
| 156 |
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numpy==1.26.4
|
| 157 |
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nvidia-cublas-cu12==12.1.3.1
|
| 158 |
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nvidia-cuda-cupti-cu12==12.1.105
|
| 159 |
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nvidia-cuda-nvrtc-cu12==12.1.105
|
| 160 |
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nvidia-cuda-runtime-cu12==12.1.105
|
| 161 |
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nvidia-cudnn-cu12==9.1.0.70
|
| 162 |
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nvidia-cufft-cu12==11.0.2.54
|
| 163 |
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nvidia-curand-cu12==10.3.2.106
|
| 164 |
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nvidia-cusolver-cu12==11.4.5.107
|
| 165 |
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nvidia-cusparse-cu12==12.1.0.106
|
| 166 |
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nvidia-nccl-cu12==2.20.5
|
| 167 |
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nvidia-nvjitlink-cu12==12.5.82
|
| 168 |
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nvidia-nvtx-cu12==12.1.105
|
| 169 |
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oauthlib==3.2.2
|
| 170 |
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|
| 171 |
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openctm==0.0.5
|
| 172 |
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opencv-python==4.10.0.84
|
| 173 |
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|
| 174 |
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|
| 175 |
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pandas==2.2.2
|
| 176 |
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pillow==10.4.0
|
| 177 |
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pip==24.2
|
| 178 |
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|
| 179 |
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|
| 180 |
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proglog==0.1.10
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| 181 |
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protobuf==5.27.2
|
| 182 |
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psutil==6.0.0
|
| 183 |
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pyarrow-hotfix==0.6
|
| 184 |
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pyarrow==17.0.0
|
| 185 |
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pyasn1==0.6.0
|
| 186 |
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|
| 187 |
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pyav==12.3.0
|
| 188 |
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pycollada==0.8
|
| 189 |
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pycparser==2.22
|
| 190 |
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|
| 191 |
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pyglet==1.5.29
|
| 192 |
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|
| 193 |
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|
| 194 |
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|
| 195 |
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|
| 196 |
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|
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| 198 |
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pytest-beartype==0.0.2
|
| 199 |
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pytest-cov==5.0.0
|
| 200 |
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pytest==8.3.1
|
| 201 |
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python-dateutil==2.9.0.post0
|
| 202 |
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python-fcl==0.7.0.6
|
| 203 |
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python-qt-binding==0.4.4
|
| 204 |
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pytorch-lightning==2.4.0
|
| 205 |
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pytz==2024.1
|
| 206 |
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qt-dotgraph==0.4.2
|
| 207 |
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qt-gui-cpp==0.4.2
|
| 208 |
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qt-gui-py-common==0.4.2
|
| 209 |
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qt-gui==0.4.2
|
| 210 |
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referencing==0.35.1
|
| 211 |
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regex==2024.5.15
|
| 212 |
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requests-oauthlib==2.0.0
|
| 213 |
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requests==2.32.3
|
| 214 |
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rerun-sdk==0.17.0
|
| 215 |
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resource_retriever==1.12.7
|
| 216 |
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rich==13.7.1
|
| 217 |
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ros-numpy==0.0.5
|
| 218 |
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rosbag==1.16.0
|
| 219 |
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rosboost-cfg==1.15.8
|
| 220 |
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rosclean==1.15.8
|
| 221 |
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roscpp==1.15.11
|
| 222 |
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roscreate==1.15.8
|
| 223 |
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rosgraph-msgs==1.11.3.post2
|
| 224 |
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rosgraph==1.15.11
|
| 225 |
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rosgraph==1.16.0
|
| 226 |
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roslaunch==1.16.0
|
| 227 |
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roslib==1.14.7.post0
|
| 228 |
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roslib==1.15.8
|
| 229 |
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roslint==0.12.0
|
| 230 |
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roslz4==1.16.0
|
| 231 |
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rosmake==1.15.8
|
| 232 |
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rosmaster==1.16.0
|
| 233 |
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rosmsg==1.16.0
|
| 234 |
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rosnode==1.16.0
|
| 235 |
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rosparam==1.16.0
|
| 236 |
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rospkg==1.5.1
|
| 237 |
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rospy==1.15.11
|
| 238 |
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rospy==1.16.0
|
| 239 |
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rosservice==1.16.0
|
| 240 |
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rostest==1.16.0
|
| 241 |
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rostopic==1.16.0
|
| 242 |
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rosunit==1.15.8
|
| 243 |
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roswtf==1.16.0
|
| 244 |
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rpds-py==0.19.1
|
| 245 |
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rqt-console==0.4.12
|
| 246 |
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rqt-image-view==0.4.17
|
| 247 |
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rqt-logger-level==0.4.12
|
| 248 |
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rqt-moveit==0.5.11
|
| 249 |
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rqt-reconfigure==0.5.5
|
| 250 |
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rqt-robot-dashboard==0.5.8
|
| 251 |
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rqt-robot-monitor==0.5.15
|
| 252 |
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rqt-runtime-monitor==0.5.10
|
| 253 |
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rqt-rviz==0.7.0
|
| 254 |
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rqt-tf-tree==0.6.4
|
| 255 |
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rqt_action==0.4.9
|
| 256 |
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rqt_bag==0.5.1
|
| 257 |
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rqt_bag_plugins==0.5.1
|
| 258 |
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rqt_dep==0.4.12
|
| 259 |
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rqt_graph==0.4.14
|
| 260 |
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rqt_gui==0.5.3
|
| 261 |
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rqt_gui_py==0.5.3
|
| 262 |
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rqt_launch==0.4.9
|
| 263 |
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rqt_msg==0.4.10
|
| 264 |
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rqt_nav_view==0.5.7
|
| 265 |
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rqt_plot==0.4.13
|
| 266 |
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rqt_pose_view==0.5.11
|
| 267 |
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rqt_publisher==0.4.10
|
| 268 |
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rqt_py_common==0.5.3
|
| 269 |
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rqt_py_console==0.4.10
|
| 270 |
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rqt_robot_steering==0.5.12
|
| 271 |
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rqt_service_caller==0.4.10
|
| 272 |
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rqt_shell==0.4.11
|
| 273 |
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rqt_srv==0.4.9
|
| 274 |
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rqt_top==0.4.10
|
| 275 |
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rqt_topic==0.4.13
|
| 276 |
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rqt_web==0.4.10
|
| 277 |
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rsa==4.9
|
| 278 |
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ruff==0.5.4
|
| 279 |
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rviz==1.14.25
|
| 280 |
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safetensors==0.4.3
|
| 281 |
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scikit-image==0.24.0
|
| 282 |
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scikit-video==1.1.11
|
| 283 |
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scipy==1.14.0
|
| 284 |
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seaborn==0.13.2
|
| 285 |
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sensor-msgs==1.13.1
|
| 286 |
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sentry-sdk==2.11.0
|
| 287 |
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setproctitle==1.3.3
|
| 288 |
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setuptools==65.5.0
|
| 289 |
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shapely==2.0.5
|
| 290 |
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signature_dispatch==1.0.1
|
| 291 |
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six==1.16.0
|
| 292 |
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smach-ros==2.5.2
|
| 293 |
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smach==2.5.2
|
| 294 |
+
smclib==1.8.6
|
| 295 |
+
smmap==5.0.1
|
| 296 |
+
sniffio==1.3.1
|
| 297 |
+
soupsieve==2.5
|
| 298 |
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std-msgs==0.5.13.post0
|
| 299 |
+
submitit==1.5.1
|
| 300 |
+
svg.path==6.3
|
| 301 |
+
sympy==1.13.1
|
| 302 |
+
tensorboard-data-server==0.7.2
|
| 303 |
+
tensorboard==2.14.0
|
| 304 |
+
termcolor==2.4.0
|
| 305 |
+
tf-conversions==1.13.2
|
| 306 |
+
tf2-geometry-msgs==0.7.7
|
| 307 |
+
tf2-kdl==0.7.7
|
| 308 |
+
tf2-msgs==0.7.2.post3
|
| 309 |
+
tf2-py==0.7.7
|
| 310 |
+
tf2-ros==0.6.5
|
| 311 |
+
tf2-ros==0.7.7
|
| 312 |
+
tf2_py==0.6.5.post1
|
| 313 |
+
tf==1.13.2
|
| 314 |
+
tifffile==2024.7.24
|
| 315 |
+
tomli==2.0.1
|
| 316 |
+
topic-tools==1.16.0
|
| 317 |
+
torch==2.4.0
|
| 318 |
+
torchaug==0.5.2
|
| 319 |
+
torchmetrics==1.4.0.post0
|
| 320 |
+
torchvision==0.19.0
|
| 321 |
+
tqdm==4.66.4
|
| 322 |
+
trimesh==4.4.3
|
| 323 |
+
triton==3.0.0
|
| 324 |
+
typeguard==3.0.2
|
| 325 |
+
typing_extensions==4.12.2
|
| 326 |
+
tzdata==2024.1
|
| 327 |
+
urchin==0.0.27
|
| 328 |
+
urllib3==2.2.2
|
| 329 |
+
vecrec==0.3.1
|
| 330 |
+
vhacdx==0.0.8.post1
|
| 331 |
+
wandb==0.17.5
|
| 332 |
+
wheel==0.43.0
|
| 333 |
+
xacro==1.14.18
|
| 334 |
+
xatlas==0.0.9
|
| 335 |
+
xxhash==3.4.1
|
| 336 |
+
yarl==1.9.4
|
| 337 |
+
zarr==2.18.2
|
| 338 |
+
zipp==3.19.2
|
| 339 |
+
zstandard==0.23.0
|
221701/wandb/run-20241217_221707-sqbcnf7o/files/wandb-metadata.json
ADDED
|
@@ -0,0 +1,92 @@
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"os": "Linux-5.15.0-125-generic-x86_64-with-glibc2.31",
|
| 3 |
+
"python": "3.10.14",
|
| 4 |
+
"heartbeatAt": "2024-12-18T03:17:07.984722",
|
| 5 |
+
"startedAt": "2024-12-18T03:17:07.579033",
|
| 6 |
+
"docker": null,
|
| 7 |
+
"cuda": null,
|
| 8 |
+
"args": [
|
| 9 |
+
"agent=diffusion",
|
| 10 |
+
"suite=frankagym",
|
| 11 |
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"suite/frankagym_task@_global_=insertion"
|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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"host": "leonmkim-ROG-Strix-G15CS-G15CS",
|
| 24 |
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"username": "leonmkim",
|
| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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| 29 |
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| 30 |
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| 31 |
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| 32 |
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| 33 |
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| 35 |
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| 36 |
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| 37 |
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| 38 |
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| 39 |
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| 40 |
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| 41 |
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| 42 |
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| 43 |
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| 44 |
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| 45 |
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| 46 |
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| 47 |
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| 48 |
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| 49 |
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| 50 |
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|
| 51 |
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|
| 52 |
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| 53 |
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| 55 |
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| 56 |
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| 57 |
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| 58 |
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| 59 |
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| 60 |
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| 62 |
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| 63 |
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|
| 65 |
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|
| 66 |
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| 67 |
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| 69 |
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|
| 70 |
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|
| 71 |
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|
| 72 |
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| 73 |
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| 82 |
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| 83 |
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| 84 |
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| 85 |
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| 86 |
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| 87 |
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| 89 |
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|
221701/wandb/run-20241217_221707-sqbcnf7o/files/wandb-summary.json
ADDED
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|
221701/wandb/run-20241217_221707-sqbcnf7o/logs/debug-internal.log
ADDED
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@@ -0,0 +1,681 @@
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2024-12-17 22:21:21,598 DEBUG SenderThread:84579 [sender.py:send_request():406] send_request: poll_exit
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2024-12-17 22:17:07,582 INFO MainThread:84391 [wandb_setup.py:_flush():76] Current SDK version is 0.17.5
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2024-12-17 22:17:07,582 INFO MainThread:84391 [wandb_setup.py:_flush():76] Loading settings from /home/leonmkim/fish_leon/FISH/exp_local/frankagym_pixels/FrankaInsertion-v1/511_0/221701/wandb/settings
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2024-12-17 22:17:07,582 INFO MainThread:84391 [wandb_setup.py:_flush():76] Loading settings from environment variables: {}
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2024-12-17 22:17:07,583 INFO MainThread:84391 [wandb_setup.py:_flush():76] Applying setup settings: {'_disable_service': False}
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2024-12-17 22:17:07,583 INFO MainThread:84391 [wandb_setup.py:_flush():76] Inferring run settings from compute environment: {'program_relpath': 'FISH/eval_robot.py', 'program_abspath': '/home/leonmkim/fish_leon/FISH/eval_robot.py', 'program': '/home/leonmkim/fish_leon/FISH/eval_robot.py'}
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2024-12-17 22:17:07,583 INFO MainThread:84391 [wandb_setup.py:_flush():76] Applying login settings: {}
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2024-12-17 22:17:07,583 INFO MainThread:84391 [wandb_init.py:_log_setup():529] Logging user logs to /home/leonmkim/fish_leon/FISH/exp_local/frankagym_pixels/FrankaInsertion-v1/511_0/221701/wandb/run-20241217_221707-sqbcnf7o/logs/debug.log
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2024-12-17 22:17:07,583 INFO MainThread:84391 [wandb_init.py:_log_setup():530] Logging internal logs to /home/leonmkim/fish_leon/FISH/exp_local/frankagym_pixels/FrankaInsertion-v1/511_0/221701/wandb/run-20241217_221707-sqbcnf7o/logs/debug-internal.log
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2024-12-17 22:17:07,583 INFO MainThread:84391 [wandb_init.py:init():569] calling init triggers
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2024-12-17 22:17:07,583 INFO MainThread:84391 [wandb_init.py:init():576] wandb.init called with sweep_config: {}
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config: {'root_dir': '/home/leonmkim/fish_leon', 'replay_buffer_size': 150000, 'replay_buffer_num_workers': 2, 'nstep': 3, 'batch_size': 128, 'seed': 0, 'dataset_shuffle_seed': 0, 'device': 'cuda', 'save_video': True, 'save_train_video': True, 'use_tb': True, 'use_wandb': True, 'wandb_run_id': '511_0', 'wandb_notes': '511_0_', 'eval': True, 'true_action_history': False, 'process_contact_features': True, 'obs_type': 'pixels', 'use_color': True, 'use_depth': True, 'use_masks': False, 'mask_list': ['EE_obj_mask'], 'mask_representation': 'channels', 'crop_hw': [144, 144], 'crop_down_offset': 48, 'color_crop_type': None, 'depth_crop_type': None, 'segmask_crop_type': None, 'add_crop_binary_mask': False, 'add_coord_conv_map': False, 'use_context_color': False, 'use_context_depth': False, 'use_context_segmask': False, 'context_color_crop_type': None, 'context_depth_crop_type': None, 'context_segmask_crop_type': None, 'context_add_crop_binary_mask': False, 'context_add_coord_conv_map': False, 'use_contact_map': False, 'use_sdf_maps': False, 'use_normals_maps': False, 'which_objects': 'both', 'max_contact_prob': 0.1, 'max_depth': 2.0, 'grasped_dtc_max_value': 0.2, 'env_dtc_max_value': 0.4, 'grasped_normals_mask_max_dtc_value': 0.2, 'env_normals_mask_max_dtc_value': 0.4, 'clamp_dtc': True, 'dtc_adaptive_normalization': False, 'mask_normals_within_sdf': True, 'adaptive_normals_mask': True, 'learnable_contact_preprocess_params': True, 'contact_model_name': 'local_multitask_outhd64all_home_crop_h144w144d48_mask_ctxtmask_seed_220979_epoch_9', 'contact_estimation_model_ckpt_path': '~/fish_leon/contact_estimation/artifacts/175604_2/checkpoints/epoch=09-val_loss=0.00.ckpt', 'encoder_type': 'small', 'debug_timestamps': False, 'open_loop': False, 'action_trajectories': True, 'stop_after_action': False, 'interpolation_frequency': 25, 'policy_frequency': 5, 'wait_for_new_camera_frames': True, 'baseline': False, 'train_demo_idxs_list_or_num': -1, 'log_train_every_steps': 25, 'name_of_expert_demo': '112_240x320_all_twodim_left_to_right_annotated_start_idx_5hz_zstd7_EE_pxl_coords_expert_demos_imp_act', 'expert_dataset_dirpath': '/home/leonmkim/fish_leon/FISH/expert_demos/frankagym/FrankaInsertion-v1/112_240x320_all_twodim_left_to_right_annotated_start_idx_5hz_zstd7_EE_pxl_coords_expert_demos_imp_act', 'store_dataset_in_memory': False, 'expert_dataset': '/home/leonmkim/fish_leon/FISH/expert_demos/frankagym/FrankaInsertion-v1/112_240x320_all_twodim_left_to_right_annotated_start_idx_5hz_zstd7_EE_pxl_coords_expert_demos_imp_act/demos.zarr', 'action_key': 'action_trajectory_25hz', 'semantic_demo_grouping_name': 'semantic_demo_grouping.yaml', 'semantic_demo_grouping': '/home/leonmkim/fish_leon/FISH/expert_demos/frankagym/FrankaInsertion-v1/112_240x320_all_twodim_left_to_right_annotated_start_idx_5hz_zstd7_EE_pxl_coords_expert_demos_imp_act/semantic_demo_grouping.yaml', 'include_groups_list': ['electrodyn_twodim'], 'expert_dataset_config': '/home/leonmkim/fish_leon/FISH/expert_demos/frankagym/FrankaInsertion-v1/112_240x320_all_twodim_left_to_right_annotated_start_idx_5hz_zstd7_EE_pxl_coords_expert_demos_imp_act/demo_config.yaml', 'name_of_valid_demo': '112_240x320_all_twodim_left_to_right_annotated_start_idx_5hz_zstd7_EE_pxl_coords_expert_demos_imp_act', 'valid_dataset_dir': '/home/leonmkim/fish_leon/FISH/expert_demos/frankagym/FrankaInsertion-v1/112_240x320_all_twodim_left_to_right_annotated_start_idx_5hz_zstd7_EE_pxl_coords_expert_demos_imp_act/demos.zarr', 'valid_demo_idxs_list_or_num': None, 'val_num_groups': 0, 'load_bc': True, 'checkpoint_epoch_list': [99, 199, 299, 399, 499, 599, 699, 799, 899, 999, 1249, 1499, 1749, 1999, 2999, 3999, 4999, 5999, 6999, 7999, 8999, 9999], 'snapshot_root_dir': '/mnt/kostas-graid/datasets/extrinsic_contact_data/FISH', 'save_snapshot': True, 'save_last_snapshot': True, 'save_snapshot_when_done': True, 'top_k_checkpoints': 5, 'save_snapshot_link_to_weights_dir': 'deprecated', 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'do_mask_loss_for_padding': False, 'input_shapes': {'observation.image': [13, 180, 240], 'context_observation.image': [13, 180, 240], 'observation.state': [8], 'observation.action_history': [7]}}, 'train_cfg': {'_target_': 'utils.TrainConfig', 'lr': 0.0001, 'lr_scheduler': 'cosine', 'lr_warmup_steps': 500, 'adam_betas': [0.95, 0.999], 'adam_eps': 1e-08, 'adam_weight_decay': 1e-06, 'grad_clip_norm': 10, 'offline_steps': 1000000, 'use_amp': True}, 'observation_cfg': {'_target_': 'agent.encoder.VisualFeatureSet', 'use_depth': True, 'use_color': True, 'mask_input_dict': {'_target_': 'agent.encoder.MaskInputDict', 'enable': False, 'representation': 'channels', 'mask_list': ['EE_obj_mask']}, 'crop_input_config': {'_target_': 'agent.encoder.CropInputConfig', 'color_crop_type': None, 'depth_crop_type': None, 'segmask_crop_type': None, 'crop_hw': [144, 144], 'crop_down_offset': 48, 'add_crop_binary_mask': False, 'add_coord_conv_map': False}, 'context_input_config': {'_target_': 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2024-12-17 22:17:08,301 INFO MainThread:84391 [wandb_run.py:_console_start():2413] atexit reg
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|
|
| 1 |
+
root_dir: /mnt/kostas-graid/datasets/extrinsic_contact_data
|
| 2 |
+
replay_buffer_size: 150000
|
| 3 |
+
replay_buffer_num_workers: 2
|
| 4 |
+
nstep: 3
|
| 5 |
+
batch_size: 128
|
| 6 |
+
seed: 0
|
| 7 |
+
dataset_shuffle_seed: 0
|
| 8 |
+
device: cuda
|
| 9 |
+
save_video: true
|
| 10 |
+
save_train_video: true
|
| 11 |
+
use_tb: true
|
| 12 |
+
use_wandb: true
|
| 13 |
+
wandb_run_id: '511_0'
|
| 14 |
+
wandb_notes: '511_0_'
|
| 15 |
+
eval: false
|
| 16 |
+
true_action_history: false
|
| 17 |
+
process_contact_features: ${eval}
|
| 18 |
+
obs_type: pixels
|
| 19 |
+
use_color: true
|
| 20 |
+
use_depth: true
|
| 21 |
+
use_masks: false
|
| 22 |
+
mask_list:
|
| 23 |
+
- EE_obj_mask
|
| 24 |
+
mask_representation: channels
|
| 25 |
+
crop_hw:
|
| 26 |
+
- 144
|
| 27 |
+
- 144
|
| 28 |
+
crop_down_offset: 48
|
| 29 |
+
color_crop_type: null
|
| 30 |
+
depth_crop_type: null
|
| 31 |
+
segmask_crop_type: null
|
| 32 |
+
add_crop_binary_mask: false
|
| 33 |
+
add_coord_conv_map: false
|
| 34 |
+
use_context_color: false
|
| 35 |
+
use_context_depth: false
|
| 36 |
+
use_context_segmask: false
|
| 37 |
+
context_color_crop_type: null
|
| 38 |
+
context_depth_crop_type: null
|
| 39 |
+
context_segmask_crop_type: null
|
| 40 |
+
context_add_crop_binary_mask: false
|
| 41 |
+
context_add_coord_conv_map: false
|
| 42 |
+
use_contact_map: false
|
| 43 |
+
use_sdf_maps: false
|
| 44 |
+
use_normals_maps: false
|
| 45 |
+
which_objects: both
|
| 46 |
+
max_contact_prob: 0.1
|
| 47 |
+
max_depth: 2.0
|
| 48 |
+
grasped_dtc_max_value: 0.2
|
| 49 |
+
env_dtc_max_value: 0.4
|
| 50 |
+
grasped_normals_mask_max_dtc_value: 0.2
|
| 51 |
+
env_normals_mask_max_dtc_value: 0.4
|
| 52 |
+
clamp_dtc: true
|
| 53 |
+
dtc_adaptive_normalization: false
|
| 54 |
+
mask_normals_within_sdf: true
|
| 55 |
+
adaptive_normals_mask: true
|
| 56 |
+
learnable_contact_preprocess_params: true
|
| 57 |
+
contact_model_name: local_multitask_outhd64all_home_crop_h144w144d48_mask_ctxtmask_seed_220979_epoch_9
|
| 58 |
+
contact_estimation_model_ckpt_path: ~/fish_leon/contact_estimation/artifacts/175604_2/checkpoints/epoch=09-val_loss=0.00.ckpt
|
| 59 |
+
encoder_type: small
|
| 60 |
+
debug_timestamps: false
|
| 61 |
+
open_loop: false
|
| 62 |
+
action_trajectories: true
|
| 63 |
+
stop_after_action: false
|
| 64 |
+
interpolation_frequency: 25
|
| 65 |
+
policy_frequency: 5
|
| 66 |
+
wait_for_new_camera_frames: true
|
| 67 |
+
baseline: false
|
| 68 |
+
train_demo_idxs_list_or_num: -1
|
| 69 |
+
log_train_every_steps: 25
|
| 70 |
+
name_of_expert_demo: 112_240x320_all_twodim_left_to_right_annotated_start_idx_5hz_zstd7_EE_pxl_coords_expert_demos_imp_act
|
| 71 |
+
expert_dataset_dirpath: ${root_dir}/FISH/expert_demos/${suite.name}/${task_name}/${name_of_expert_demo}
|
| 72 |
+
store_dataset_in_memory: false
|
| 73 |
+
expert_dataset: ${expert_dataset_dirpath}/demos.zarr
|
| 74 |
+
action_key: ${oc.if_else:${action_trajectories}, 'action_trajectory_${interpolation_frequency}hz',
|
| 75 |
+
'action'}
|
| 76 |
+
semantic_demo_grouping_name: semantic_demo_grouping.yaml
|
| 77 |
+
semantic_demo_grouping: ${expert_dataset_dirpath}/${semantic_demo_grouping_name}
|
| 78 |
+
include_groups_list:
|
| 79 |
+
- electrodyn_twodim
|
| 80 |
+
expert_dataset_config: ${expert_dataset_dirpath}/demo_config.yaml
|
| 81 |
+
name_of_valid_demo: 112_240x320_all_twodim_left_to_right_annotated_start_idx_5hz_zstd7_EE_pxl_coords_expert_demos_imp_act
|
| 82 |
+
valid_dataset_dir: ${root_dir}/FISH/expert_demos/${suite.name}/${task_name}/${name_of_valid_demo}/demos.zarr
|
| 83 |
+
valid_demo_idxs_list_or_num: null
|
| 84 |
+
val_num_groups: 0
|
| 85 |
+
load_bc: ${agent.load_checkpoint}
|
| 86 |
+
checkpoint_epoch_list:
|
| 87 |
+
- 99
|
| 88 |
+
- 199
|
| 89 |
+
- 299
|
| 90 |
+
- 399
|
| 91 |
+
- 499
|
| 92 |
+
- 599
|
| 93 |
+
- 699
|
| 94 |
+
- 799
|
| 95 |
+
- 899
|
| 96 |
+
- 999
|
| 97 |
+
- 1249
|
| 98 |
+
- 1499
|
| 99 |
+
- 1749
|
| 100 |
+
- 1999
|
| 101 |
+
- 2999
|
| 102 |
+
- 3999
|
| 103 |
+
- 4999
|
| 104 |
+
- 5999
|
| 105 |
+
- 6999
|
| 106 |
+
- 7999
|
| 107 |
+
- 8999
|
| 108 |
+
- 9999
|
| 109 |
+
snapshot_root_dir: /mnt/kostas-graid/datasets/extrinsic_contact_data/FISH
|
| 110 |
+
save_snapshot: true
|
| 111 |
+
save_last_snapshot: true
|
| 112 |
+
save_snapshot_when_done: true
|
| 113 |
+
top_k_checkpoints: 5
|
| 114 |
+
save_snapshot_link_to_weights_dir: deprecated
|
| 115 |
+
bc_regularize: false
|
| 116 |
+
bc_weight_type: qfilter
|
| 117 |
+
experiment_dir: ./exp_local/${suite.name}_${obs_type}/${task_name}/${wandb_run_id}
|
| 118 |
+
agent:
|
| 119 |
+
_target_: agent.diffusion_policy.DiffusionPolicyAgent
|
| 120 |
+
name: diffusion_policy
|
| 121 |
+
load_checkpoint: ${eval}
|
| 122 |
+
device: ${device}
|
| 123 |
+
n_obs_steps: ${.config.policy_cfg.n_obs_steps}
|
| 124 |
+
suite_name: ${suite.name}
|
| 125 |
+
obs_type: ${obs_type}
|
| 126 |
+
enable_arm: ${eval}
|
| 127 |
+
enable_camera: ${eval}
|
| 128 |
+
use_tb: ${use_tb}
|
| 129 |
+
desired_image_shape:
|
| 130 |
+
- 13
|
| 131 |
+
- 180
|
| 132 |
+
- 240
|
| 133 |
+
orig_cam_shape:
|
| 134 |
+
- 3
|
| 135 |
+
- 240
|
| 136 |
+
- 320
|
| 137 |
+
config:
|
| 138 |
+
_target_: agent.diffusion_policy.DiffusionPolicyAgentConfig
|
| 139 |
+
compile: false
|
| 140 |
+
device: ${device}
|
| 141 |
+
cam_resize_shape: ${agent.desired_image_shape}
|
| 142 |
+
orig_cam_shape: ${agent.orig_cam_shape}
|
| 143 |
+
policy_frequency: ${policy_frequency}
|
| 144 |
+
interpolation_frequency: ${interpolation_frequency}
|
| 145 |
+
policy_cfg:
|
| 146 |
+
_target_: lerobot.common.policies.diffusion.configuration_diffusion.DiffusionConfig
|
| 147 |
+
n_obs_steps: 1
|
| 148 |
+
horizon: 36
|
| 149 |
+
n_action_steps: ${agent.config.policy_cfg.horizon}
|
| 150 |
+
output_shapes:
|
| 151 |
+
action:
|
| 152 |
+
- 7
|
| 153 |
+
input_normalization_modes:
|
| 154 |
+
observation.image: mean_std
|
| 155 |
+
observation.state: min_max
|
| 156 |
+
observation.action_history: min_max
|
| 157 |
+
output_normalization_modes:
|
| 158 |
+
action: min_max
|
| 159 |
+
vision_backbone: resnet18
|
| 160 |
+
pretrained_backbone_weights: null
|
| 161 |
+
transforms:
|
| 162 |
+
- _target_: torchaug.transforms.RandomAffine
|
| 163 |
+
degrees:
|
| 164 |
+
- -5
|
| 165 |
+
- 5
|
| 166 |
+
translate:
|
| 167 |
+
- 0.05
|
| 168 |
+
- 0.05
|
| 169 |
+
batch_transform: true
|
| 170 |
+
num_chunks: -1
|
| 171 |
+
batch_inplace: true
|
| 172 |
+
- _target_: torchaug.transforms.RandomColorJitter
|
| 173 |
+
brightness: 0.3
|
| 174 |
+
contrast: 0.4
|
| 175 |
+
saturation: 0.5
|
| 176 |
+
hue: 0.08
|
| 177 |
+
batch_transform: true
|
| 178 |
+
num_chunks: -1
|
| 179 |
+
batch_inplace: true
|
| 180 |
+
use_group_norm: true
|
| 181 |
+
spatial_softmax_num_keypoints: 32
|
| 182 |
+
action_history_encoder_config:
|
| 183 |
+
_target_: lerobot.common.policies.diffusion.configuration_diffusion.Unet1dEncoderConfig
|
| 184 |
+
in_channels: 7
|
| 185 |
+
out_channels: 32
|
| 186 |
+
history_length: 6
|
| 187 |
+
kernel_size: ${agent.config.policy_cfg.kernel_size}
|
| 188 |
+
downsample_kernel_size: 3
|
| 189 |
+
downsample_stride: 2
|
| 190 |
+
downsample_padding: 1
|
| 191 |
+
down_dims:
|
| 192 |
+
- 256
|
| 193 |
+
- 512
|
| 194 |
+
- 1024
|
| 195 |
+
kernel_size: 5
|
| 196 |
+
n_groups: 8
|
| 197 |
+
diffusion_step_embed_dim: 128
|
| 198 |
+
use_film_scale_modulation: true
|
| 199 |
+
noise_scheduler_type: DDIM
|
| 200 |
+
beta_schedule: squaredcos_cap_v2
|
| 201 |
+
beta_start: 0.0001
|
| 202 |
+
beta_end: 0.02
|
| 203 |
+
prediction_type: epsilon
|
| 204 |
+
clip_sample: true
|
| 205 |
+
clip_sample_range: 1.0
|
| 206 |
+
num_train_timesteps: 50
|
| 207 |
+
num_inference_steps: 10
|
| 208 |
+
do_mask_loss_for_padding: false
|
| 209 |
+
input_shapes:
|
| 210 |
+
observation.image:
|
| 211 |
+
- 13
|
| 212 |
+
- 180
|
| 213 |
+
- 240
|
| 214 |
+
context_observation.image:
|
| 215 |
+
- 13
|
| 216 |
+
- 180
|
| 217 |
+
- 240
|
| 218 |
+
observation.state:
|
| 219 |
+
- 8
|
| 220 |
+
observation.action_history:
|
| 221 |
+
- 7
|
| 222 |
+
train_cfg:
|
| 223 |
+
_target_: utils.TrainConfig
|
| 224 |
+
lr: 0.0001
|
| 225 |
+
lr_scheduler: cosine
|
| 226 |
+
lr_warmup_steps: 500
|
| 227 |
+
adam_betas:
|
| 228 |
+
- 0.95
|
| 229 |
+
- 0.999
|
| 230 |
+
adam_eps: 1.0e-08
|
| 231 |
+
adam_weight_decay: 1.0e-06
|
| 232 |
+
grad_clip_norm: 10
|
| 233 |
+
offline_steps: ${num_train_frames_diffusion}
|
| 234 |
+
use_amp: true
|
| 235 |
+
observation_cfg:
|
| 236 |
+
_target_: agent.encoder.VisualFeatureSet
|
| 237 |
+
use_depth: ${use_depth}
|
| 238 |
+
use_color: ${use_color}
|
| 239 |
+
mask_input_dict:
|
| 240 |
+
_target_: agent.encoder.MaskInputDict
|
| 241 |
+
enable: ${use_masks}
|
| 242 |
+
representation: ${mask_representation}
|
| 243 |
+
mask_list: ${mask_list}
|
| 244 |
+
crop_input_config:
|
| 245 |
+
_target_: agent.encoder.CropInputConfig
|
| 246 |
+
color_crop_type: ${color_crop_type}
|
| 247 |
+
depth_crop_type: ${depth_crop_type}
|
| 248 |
+
segmask_crop_type: ${segmask_crop_type}
|
| 249 |
+
crop_hw: ${crop_hw}
|
| 250 |
+
crop_down_offset: ${crop_down_offset}
|
| 251 |
+
add_crop_binary_mask: ${add_crop_binary_mask}
|
| 252 |
+
add_coord_conv_map: ${add_coord_conv_map}
|
| 253 |
+
context_input_config:
|
| 254 |
+
_target_: agent.encoder.ContextInputConfig
|
| 255 |
+
use_color: ${use_context_color}
|
| 256 |
+
use_depth: ${use_context_depth}
|
| 257 |
+
mask_input_dict:
|
| 258 |
+
_target_: agent.encoder.MaskInputDict
|
| 259 |
+
enable: ${use_context_segmask}
|
| 260 |
+
representation: ${mask_representation}
|
| 261 |
+
mask_list: ${mask_list}
|
| 262 |
+
crop_input_config:
|
| 263 |
+
_target_: agent.encoder.CropInputConfig
|
| 264 |
+
color_crop_type: ${context_color_crop_type}
|
| 265 |
+
depth_crop_type: ${context_depth_crop_type}
|
| 266 |
+
segmask_crop_type: ${context_segmask_crop_type}
|
| 267 |
+
crop_hw: ${crop_hw}
|
| 268 |
+
crop_down_offset: ${crop_down_offset}
|
| 269 |
+
add_crop_binary_mask: ${context_add_crop_binary_mask}
|
| 270 |
+
add_coord_conv_map: ${context_add_coord_conv_map}
|
| 271 |
+
mask_soft_approx_scheduler_config:
|
| 272 |
+
_target_: agent.encoder.MaskSoftApproxSchedulerConfig
|
| 273 |
+
num_steps: 40000
|
| 274 |
+
initial_value: 10.0
|
| 275 |
+
final_value: 1000.0
|
| 276 |
+
interpolation_scheme: cosine
|
| 277 |
+
use_contact_map: ${use_contact_map}
|
| 278 |
+
use_sdf_maps: ${use_sdf_maps}
|
| 279 |
+
use_normals_maps: ${use_normals_maps}
|
| 280 |
+
which_objects: ${which_objects}
|
| 281 |
+
grasped_dtc_max_value: ${grasped_dtc_max_value}
|
| 282 |
+
env_dtc_max_value: ${env_dtc_max_value}
|
| 283 |
+
grasped_normals_mask_max_dtc_value: ${grasped_normals_mask_max_dtc_value}
|
| 284 |
+
env_normals_mask_max_dtc_value: ${env_normals_mask_max_dtc_value}
|
| 285 |
+
clamp_dtc: ${clamp_dtc}
|
| 286 |
+
max_contact_prob: ${max_contact_prob}
|
| 287 |
+
mask_normals_within_sdf: ${mask_normals_within_sdf}
|
| 288 |
+
dtc_adaptive_normalization: ${dtc_adaptive_normalization}
|
| 289 |
+
adaptive_normals_mask: ${adaptive_normals_mask}
|
| 290 |
+
max_depth: ${max_depth}
|
| 291 |
+
image_shape: ${agent.desired_image_shape}
|
| 292 |
+
learnable_contact_preprocess_params: ${learnable_contact_preprocess_params}
|
| 293 |
+
learning_rate: 0.0001
|
| 294 |
+
weight_decay: 0.0
|
| 295 |
+
contact_model_name: ${contact_model_name}
|
| 296 |
+
zero_centered: false
|
| 297 |
+
suite:
|
| 298 |
+
suite: frankagym
|
| 299 |
+
name: frankagym
|
| 300 |
+
frame_stack: ${agent.n_obs_steps}
|
| 301 |
+
action_repeat: 1
|
| 302 |
+
discount: 0.99
|
| 303 |
+
hidden_dim: 1024
|
| 304 |
+
num_train_frames: 1000000
|
| 305 |
+
num_seed_frames: 0
|
| 306 |
+
num_train_epochs: 15000
|
| 307 |
+
validate_every_epochs: 250
|
| 308 |
+
validate_diffusion_on_action_loss_every_epochs: 250
|
| 309 |
+
train_eval_diffusion_on_action_loss_every_epochs: 250
|
| 310 |
+
check_topk_every_epochs: 250
|
| 311 |
+
save_snapshot_every_epochs: 1500
|
| 312 |
+
eval_every_frames: 2000
|
| 313 |
+
num_eval_episodes: 5
|
| 314 |
+
save_snapshot: true
|
| 315 |
+
wait_for_user_to_start_episode: true
|
| 316 |
+
task_make_fn:
|
| 317 |
+
_target_: suite.frankagym.make
|
| 318 |
+
name: ${task_name}
|
| 319 |
+
height: 240
|
| 320 |
+
width: 320
|
| 321 |
+
frame_stack: ${suite.frame_stack}
|
| 322 |
+
action_repeat: ${suite.action_repeat}
|
| 323 |
+
seed: ${seed}
|
| 324 |
+
enable_arm: ${agent.enable_arm}
|
| 325 |
+
enable_gripper: ${enable_gripper}
|
| 326 |
+
start_with_gripper_open: ${start_with_gripper_open}
|
| 327 |
+
enable_camera: ${agent.enable_camera}
|
| 328 |
+
path_to_depth_extrinsics: ${path_to_depth_extrinsics}
|
| 329 |
+
contact_estimation_model_ckpt_path: ${contact_estimation_model_ckpt_path}
|
| 330 |
+
x_limit: ${x_limit}
|
| 331 |
+
y_limit: ${y_limit}
|
| 332 |
+
z_limit: ${z_limit}
|
| 333 |
+
device: ${device}
|
| 334 |
+
interpolation_frequency: ${interpolation_frequency}
|
| 335 |
+
policy_frequency: ${policy_frequency}
|
| 336 |
+
debug_timestamps: ${debug_timestamps}
|
| 337 |
+
stop_after_action: ${stop_after_action}
|
| 338 |
+
open_loop: ${open_loop}
|
| 339 |
+
wait_for_new_camera_frames: ${wait_for_new_camera_frames}
|
| 340 |
+
action_key: ${action_key}
|
| 341 |
+
action_trajectory_horizon: ${agent.config.policy_cfg.horizon}
|
| 342 |
+
action_trajectories: ${action_trajectories}
|
| 343 |
+
path_to_zarr_dataset: ${expert_dataset}
|
| 344 |
+
agent_policy_cfg:
|
| 345 |
+
_target_: agent.diffusion_policy.DiffusionPolicyAgentConfig
|
| 346 |
+
compile: false
|
| 347 |
+
device: ${device}
|
| 348 |
+
cam_resize_shape: ${agent.desired_image_shape}
|
| 349 |
+
orig_cam_shape: ${agent.orig_cam_shape}
|
| 350 |
+
policy_frequency: ${policy_frequency}
|
| 351 |
+
interpolation_frequency: ${interpolation_frequency}
|
| 352 |
+
policy_cfg:
|
| 353 |
+
_target_: lerobot.common.policies.diffusion.configuration_diffusion.DiffusionConfig
|
| 354 |
+
n_obs_steps: 1
|
| 355 |
+
horizon: 36
|
| 356 |
+
n_action_steps: ${agent.config.policy_cfg.horizon}
|
| 357 |
+
output_shapes:
|
| 358 |
+
action:
|
| 359 |
+
- 7
|
| 360 |
+
input_normalization_modes:
|
| 361 |
+
observation.image: mean_std
|
| 362 |
+
observation.state: min_max
|
| 363 |
+
observation.action_history: min_max
|
| 364 |
+
output_normalization_modes:
|
| 365 |
+
action: min_max
|
| 366 |
+
vision_backbone: resnet18
|
| 367 |
+
pretrained_backbone_weights: null
|
| 368 |
+
transforms:
|
| 369 |
+
- _target_: torchaug.transforms.RandomAffine
|
| 370 |
+
degrees:
|
| 371 |
+
- -5
|
| 372 |
+
- 5
|
| 373 |
+
translate:
|
| 374 |
+
- 0.05
|
| 375 |
+
- 0.05
|
| 376 |
+
batch_transform: true
|
| 377 |
+
num_chunks: -1
|
| 378 |
+
batch_inplace: true
|
| 379 |
+
- _target_: torchaug.transforms.RandomColorJitter
|
| 380 |
+
brightness: 0.3
|
| 381 |
+
contrast: 0.4
|
| 382 |
+
saturation: 0.5
|
| 383 |
+
hue: 0.08
|
| 384 |
+
batch_transform: true
|
| 385 |
+
num_chunks: -1
|
| 386 |
+
batch_inplace: true
|
| 387 |
+
use_group_norm: true
|
| 388 |
+
spatial_softmax_num_keypoints: 32
|
| 389 |
+
action_history_encoder_config:
|
| 390 |
+
_target_: lerobot.common.policies.diffusion.configuration_diffusion.Unet1dEncoderConfig
|
| 391 |
+
in_channels: 7
|
| 392 |
+
out_channels: 32
|
| 393 |
+
history_length: 6
|
| 394 |
+
kernel_size: ${agent.config.policy_cfg.kernel_size}
|
| 395 |
+
downsample_kernel_size: 3
|
| 396 |
+
downsample_stride: 2
|
| 397 |
+
downsample_padding: 1
|
| 398 |
+
down_dims:
|
| 399 |
+
- 256
|
| 400 |
+
- 512
|
| 401 |
+
- 1024
|
| 402 |
+
kernel_size: 5
|
| 403 |
+
n_groups: 8
|
| 404 |
+
diffusion_step_embed_dim: 128
|
| 405 |
+
use_film_scale_modulation: true
|
| 406 |
+
noise_scheduler_type: DDIM
|
| 407 |
+
beta_schedule: squaredcos_cap_v2
|
| 408 |
+
beta_start: 0.0001
|
| 409 |
+
beta_end: 0.02
|
| 410 |
+
prediction_type: epsilon
|
| 411 |
+
clip_sample: true
|
| 412 |
+
clip_sample_range: 1.0
|
| 413 |
+
num_train_timesteps: 50
|
| 414 |
+
num_inference_steps: 10
|
| 415 |
+
do_mask_loss_for_padding: false
|
| 416 |
+
input_shapes:
|
| 417 |
+
observation.image:
|
| 418 |
+
- 13
|
| 419 |
+
- 180
|
| 420 |
+
- 240
|
| 421 |
+
context_observation.image:
|
| 422 |
+
- 13
|
| 423 |
+
- 180
|
| 424 |
+
- 240
|
| 425 |
+
observation.state:
|
| 426 |
+
- 8
|
| 427 |
+
observation.action_history:
|
| 428 |
+
- 7
|
| 429 |
+
train_cfg:
|
| 430 |
+
_target_: utils.TrainConfig
|
| 431 |
+
lr: 0.0001
|
| 432 |
+
lr_scheduler: cosine
|
| 433 |
+
lr_warmup_steps: 500
|
| 434 |
+
adam_betas:
|
| 435 |
+
- 0.95
|
| 436 |
+
- 0.999
|
| 437 |
+
adam_eps: 1.0e-08
|
| 438 |
+
adam_weight_decay: 1.0e-06
|
| 439 |
+
grad_clip_norm: 10
|
| 440 |
+
offline_steps: ${num_train_frames_diffusion}
|
| 441 |
+
use_amp: true
|
| 442 |
+
observation_cfg:
|
| 443 |
+
_target_: agent.encoder.VisualFeatureSet
|
| 444 |
+
use_depth: ${use_depth}
|
| 445 |
+
use_color: ${use_color}
|
| 446 |
+
mask_input_dict:
|
| 447 |
+
_target_: agent.encoder.MaskInputDict
|
| 448 |
+
enable: ${use_masks}
|
| 449 |
+
representation: ${mask_representation}
|
| 450 |
+
mask_list: ${mask_list}
|
| 451 |
+
crop_input_config:
|
| 452 |
+
_target_: agent.encoder.CropInputConfig
|
| 453 |
+
color_crop_type: ${color_crop_type}
|
| 454 |
+
depth_crop_type: ${depth_crop_type}
|
| 455 |
+
segmask_crop_type: ${segmask_crop_type}
|
| 456 |
+
crop_hw: ${crop_hw}
|
| 457 |
+
crop_down_offset: ${crop_down_offset}
|
| 458 |
+
add_crop_binary_mask: ${add_crop_binary_mask}
|
| 459 |
+
add_coord_conv_map: ${add_coord_conv_map}
|
| 460 |
+
context_input_config:
|
| 461 |
+
_target_: agent.encoder.ContextInputConfig
|
| 462 |
+
use_color: ${use_context_color}
|
| 463 |
+
use_depth: ${use_context_depth}
|
| 464 |
+
mask_input_dict:
|
| 465 |
+
_target_: agent.encoder.MaskInputDict
|
| 466 |
+
enable: ${use_context_segmask}
|
| 467 |
+
representation: ${mask_representation}
|
| 468 |
+
mask_list: ${mask_list}
|
| 469 |
+
crop_input_config:
|
| 470 |
+
_target_: agent.encoder.CropInputConfig
|
| 471 |
+
color_crop_type: ${context_color_crop_type}
|
| 472 |
+
depth_crop_type: ${context_depth_crop_type}
|
| 473 |
+
segmask_crop_type: ${context_segmask_crop_type}
|
| 474 |
+
crop_hw: ${crop_hw}
|
| 475 |
+
crop_down_offset: ${crop_down_offset}
|
| 476 |
+
add_crop_binary_mask: ${context_add_crop_binary_mask}
|
| 477 |
+
add_coord_conv_map: ${context_add_coord_conv_map}
|
| 478 |
+
mask_soft_approx_scheduler_config:
|
| 479 |
+
_target_: agent.encoder.MaskSoftApproxSchedulerConfig
|
| 480 |
+
num_steps: 40000
|
| 481 |
+
initial_value: 10.0
|
| 482 |
+
final_value: 1000.0
|
| 483 |
+
interpolation_scheme: cosine
|
| 484 |
+
use_contact_map: ${use_contact_map}
|
| 485 |
+
use_sdf_maps: ${use_sdf_maps}
|
| 486 |
+
use_normals_maps: ${use_normals_maps}
|
| 487 |
+
which_objects: ${which_objects}
|
| 488 |
+
grasped_dtc_max_value: ${grasped_dtc_max_value}
|
| 489 |
+
env_dtc_max_value: ${env_dtc_max_value}
|
| 490 |
+
grasped_normals_mask_max_dtc_value: ${grasped_normals_mask_max_dtc_value}
|
| 491 |
+
env_normals_mask_max_dtc_value: ${env_normals_mask_max_dtc_value}
|
| 492 |
+
clamp_dtc: ${clamp_dtc}
|
| 493 |
+
max_contact_prob: ${max_contact_prob}
|
| 494 |
+
mask_normals_within_sdf: ${mask_normals_within_sdf}
|
| 495 |
+
dtc_adaptive_normalization: ${dtc_adaptive_normalization}
|
| 496 |
+
adaptive_normals_mask: ${adaptive_normals_mask}
|
| 497 |
+
max_depth: ${max_depth}
|
| 498 |
+
image_shape: ${agent.desired_image_shape}
|
| 499 |
+
learnable_contact_preprocess_params: ${learnable_contact_preprocess_params}
|
| 500 |
+
learning_rate: 0.0001
|
| 501 |
+
weight_decay: 0.0
|
| 502 |
+
contact_model_name: ${contact_model_name}
|
| 503 |
+
zero_centered: false
|
| 504 |
+
true_action_history: ${true_action_history}
|
| 505 |
+
num_train_frames_bc: 50000
|
| 506 |
+
num_train_frames_drq: 1100000
|
| 507 |
+
stddev_schedule_drq: linear(1.0,0.1,100000)
|
| 508 |
+
task_name: FrankaInsertion-v1
|
| 509 |
+
num_train_frames_vinn: 25000
|
| 510 |
+
num_train_frames_diffusion: 1000000
|
| 511 |
+
num_train_epochs_bc: 5000
|
| 512 |
+
num_train_epochs_diffusion: 15000
|
| 513 |
+
validate_every_epochs_bc: 5
|
| 514 |
+
validate_every_epochs_diffusion: 250
|
| 515 |
+
validate_diffusion_on_action_loss_every_epochs: 250
|
| 516 |
+
train_eval_diffusion_on_action_loss_every_epochs: 250
|
| 517 |
+
check_topk_every_epochs: 5
|
| 518 |
+
check_topk_every_epochs_diffusion: 250
|
| 519 |
+
save_snapshot_every_epochs_diffusion: 1500
|
| 520 |
+
x_limit:
|
| 521 |
+
- 0.2
|
| 522 |
+
- 0.7
|
| 523 |
+
y_limit:
|
| 524 |
+
- -0.4
|
| 525 |
+
- 0.4
|
| 526 |
+
z_limit:
|
| 527 |
+
- -0.05
|
| 528 |
+
- 0.55
|
| 529 |
+
home_displacement:
|
| 530 |
+
- 0.55
|
| 531 |
+
- 0.0
|
| 532 |
+
- 0.55
|
| 533 |
+
- 180.0
|
| 534 |
+
- 0.0
|
| 535 |
+
- 0.0
|
| 536 |
+
enable_gripper: true
|
| 537 |
+
start_with_gripper_open: true
|
| 538 |
+
offset_mask:
|
| 539 |
+
- 1
|
| 540 |
+
- 1
|
| 541 |
+
- 1
|
| 542 |
+
- 1
|
| 543 |
+
- 1
|
| 544 |
+
- 1
|
| 545 |
+
path_to_depth_extrinsics: ~/fish_leon/FISH/cfgs/camera_poses/camera_poses_L515/20240904-122305/color_tf_world.npy
|
| 546 |
+
feature_type: 180x240_1_RGB_D_2.0_acthst_hst6_out32_dwnkrnl3_dwnstrd2_dwnpd1
|