| { |
| "omni_relay": { |
| "status": "selected_episode_preparation", |
| "dataset": "ropedia-ai/xperience-10m", |
| "staging": "selected_episode_preparation", |
| "training_target": "multi_episode_training_pipeline", |
| "selection_strategy": "stratified_round_robin_by_top_level_session", |
| "target_episodes": 128, |
| "selected_sessions": 128, |
| "candidate_scan_top_level_sessions": 802, |
| "valid_candidates": 12102, |
| "estimated_bytes": 298188841943, |
| "exclude": [ |
| "visualization.rrd" |
| ], |
| "access_status": "The gated Xperience-10M dataset is available for selected multi-episode pilot preparation.", |
| "current_scope": "The selected-episode Qwen3-Omni fine-tune requires completed data preparation and held-out evaluation; the 32-episode Qwen3-Omni fine-tune requires gated data preparation before any real held-out metric is reported." |
| }, |
| "models": { |
| "motion_action": { |
| "accuracy": 0.9828178694158075, |
| "balanced_accuracy": 0.9643518518518519, |
| "macro_f1": 0.96884342657456, |
| "weighted_f1": 0.9824311468352843, |
| "num_eval_windows": 291, |
| "num_classes": 18, |
| "majority_baseline_accuracy": 0.13745704467353953, |
| "train_final_accuracy": 1.0, |
| "train_final_loss": 0.019042566418647766 |
| }, |
| "motion_subtask": { |
| "accuracy": 0.9758620689655172, |
| "balanced_accuracy": 0.9783924095954172, |
| "macro_f1": 0.9528048001232955, |
| "weighted_f1": 0.9778836359351952, |
| "num_eval_windows": 290, |
| "num_classes": 14, |
| "majority_baseline_accuracy": 0.14482758620689656, |
| "train_final_accuracy": 1.0, |
| "train_final_loss": 0.02664567530155182 |
| }, |
| "all_modalities_action": { |
| "accuracy": 0.9862542955326461, |
| "balanced_accuracy": 0.9856481481481482, |
| "macro_f1": 0.9828810433408773, |
| "weighted_f1": 0.9862660597416385, |
| "num_eval_windows": 291, |
| "num_classes": 18, |
| "majority_baseline_accuracy": 0.13745704467353953, |
| "train_final_accuracy": 1.0, |
| "train_final_loss": 0.014677195809781551, |
| "feature_dim": 8546, |
| "num_windows": 1144 |
| }, |
| "all_modalities_subtask": { |
| "accuracy": 0.9827586206896551, |
| "balanced_accuracy": 0.9505102040816327, |
| "macro_f1": 0.9173189771658273, |
| "weighted_f1": 0.9841228382209077, |
| "num_eval_windows": 290, |
| "num_classes": 14, |
| "majority_baseline_accuracy": 0.14482758620689656, |
| "train_final_accuracy": 1.0, |
| "train_final_loss": 0.012834250926971436, |
| "feature_dim": 8546, |
| "num_windows": 1147 |
| } |
| }, |
| "suite": { |
| "annotation": "data/sample/xperience-10m-sample/annotation.hdf5", |
| "num_frames": 5821, |
| "num_windows": 1161, |
| "feature_dim": 8546, |
| "window_frames": 20, |
| "stride_frames": 5, |
| "tasks": { |
| "timeline_action": { |
| "accuracy": 0.029154518950437316, |
| "balanced_accuracy": 0.03125, |
| "macro_f1": 0.05, |
| "weighted_f1": 0.04664723032069971, |
| "num_eval_windows": 343, |
| "num_classes": 18, |
| "task": "timeline_action", |
| "input": "all modalities -> current action label", |
| "split": "chronological", |
| "num_windows": 1144, |
| "num_train_windows": 801, |
| "num_test_windows": 343, |
| "feature_dim": 8546, |
| "majority_baseline_accuracy": 0.0, |
| "train_final_accuracy": 1.0, |
| "train_final_loss": 0.016824405640363693, |
| "unseen_test_classes": [ |
| "Place item on table", |
| "Pour coffee", |
| "Pour milk into coffee", |
| "Wait/Prepare for pouring" |
| ] |
| }, |
| "timeline_subtask": { |
| "accuracy": 0.05813953488372093, |
| "balanced_accuracy": 0.05376979652090881, |
| "macro_f1": 0.05056355513846935, |
| "weighted_f1": 0.06827161211620246, |
| "num_eval_windows": 344, |
| "num_classes": 14, |
| "task": "timeline_subtask", |
| "input": "all modalities -> current subtask label", |
| "split": "chronological", |
| "num_windows": 1147, |
| "num_train_windows": 803, |
| "num_test_windows": 344, |
| "feature_dim": 8546, |
| "majority_baseline_accuracy": 0.0, |
| "train_final_accuracy": 1.0, |
| "train_final_loss": 0.014138756319880486, |
| "unseen_test_classes": [ |
| "Move bottle to coffee equipment", |
| "Pour coffee", |
| "Pour milk into coffee", |
| "Prepare for pouring" |
| ] |
| }, |
| "transition_detection": { |
| "accuracy": 0.9080459770114943, |
| "balanced_accuracy": 0.6543674698795181, |
| "macro_f1": 0.6118237590630229, |
| "weighted_f1": 0.9197389592989339, |
| "num_eval_windows": 348, |
| "num_classes": 2, |
| "task": "transition_detection", |
| "input": "all modalities -> action boundary/steady", |
| "split": "chronological", |
| "num_windows": 1161, |
| "num_train_windows": 813, |
| "num_test_windows": 348, |
| "feature_dim": 8546, |
| "majority_baseline_accuracy": 0.9540229885057471, |
| "train_final_accuracy": 1.0, |
| "train_final_loss": 0.007154403254389763, |
| "unseen_test_classes": [], |
| "boundary_precision": 0.07142857142857142, |
| "boundary_recall": 0.5, |
| "boundary_f1": 0.125, |
| "matched_boundaries": 2, |
| "true_boundaries": 4, |
| "predicted_boundaries": 28, |
| "mean_abs_timing_error_frames": 3.5 |
| }, |
| "next_action": { |
| "accuracy": 0.034482758620689655, |
| "balanced_accuracy": 0.04, |
| "macro_f1": 0.05925925925925927, |
| "weighted_f1": 0.05108556832694764, |
| "num_eval_windows": 348, |
| "num_classes": 18, |
| "task": "next_action", |
| "input": "all modalities at t -> action at t+20 frames", |
| "split": "chronological", |
| "num_windows": 1161, |
| "num_train_windows": 813, |
| "num_test_windows": 348, |
| "feature_dim": 8546, |
| "majority_baseline_accuracy": 0.0, |
| "train_final_accuracy": 1.0, |
| "train_final_loss": 0.01754833571612835, |
| "unseen_test_classes": [ |
| "Place item on table", |
| "Pour coffee", |
| "Pour milk into coffee", |
| "Wait/Prepare for pouring" |
| ] |
| }, |
| "hand_trajectory_forecast": { |
| "mse": 14.956222534179688, |
| "mae": 0.420173317193985, |
| "r2": -1763.3831383277447, |
| "task": "hand_trajectory_forecast", |
| "input": "all modalities at t -> future left/right hand 3D joints", |
| "split": "chronological", |
| "num_windows": 1159, |
| "num_train_windows": 811, |
| "num_test_windows": 348, |
| "forecast_frames": 10, |
| "mpjpe": 0.8646570444107056, |
| "final_frame_mpjpe": 1.0330793857574463, |
| "target_dim": 1260 |
| }, |
| "contact_prediction": { |
| "accuracy": 1.0, |
| "balanced_accuracy": 1.0, |
| "macro_f1": 1.0, |
| "weighted_f1": 1.0, |
| "num_eval_windows": 348, |
| "num_classes": 1, |
| "task": "contact_prediction", |
| "input": "all non-contact/non-caption-label modalities -> any body contact", |
| "split": "chronological", |
| "num_windows": 1161, |
| "num_train_windows": 813, |
| "num_test_windows": 348, |
| "feature_dim": 7503, |
| "majority_baseline_accuracy": 1.0, |
| "train_final_accuracy": 1.0, |
| "train_final_loss": 0.0006056802230887115, |
| "unseen_test_classes": [] |
| }, |
| "object_relevance": { |
| "micro_f1": 0.18034382095361662, |
| "macro_f1": 0.06329638076675959, |
| "exact_match": 0.005747126436781609, |
| "precision": 0.16106604866743918, |
| "recall": 0.20486366985998525, |
| "task": "object_relevance", |
| "input": "all non-caption modalities -> current relevant object set", |
| "split": "chronological", |
| "num_windows": 1161, |
| "num_train_windows": 813, |
| "num_test_windows": 348, |
| "num_objects": 34 |
| }, |
| "caption_grounding": { |
| "mrr": 0.016023479050338015, |
| "median_rank": 172.0, |
| "mean_rank": 174.67816091954023, |
| "num_queries": 348, |
| "top1_accuracy": 0.0028735632183908046, |
| "top5_accuracy": 0.011494252873563218, |
| "top10_accuracy": 0.014367816091954023, |
| "task": "caption_grounding", |
| "input": "caption objects/interaction text query + candidate sensor windows", |
| "output": "matching time window", |
| "split": "chronological", |
| "num_train_windows": 813, |
| "num_test_windows": 348 |
| }, |
| "cross_modal_retrieval": { |
| "mrr": 0.26925966892956127, |
| "median_rank": 14.0, |
| "mean_rank": 43.34770114942529, |
| "num_queries": 348, |
| "top1_accuracy": 0.16379310344827586, |
| "top5_accuracy": 0.367816091954023, |
| "top10_accuracy": 0.47126436781609193, |
| "task": "cross_modal_retrieval", |
| "input": "motion/IMU/camera/audio query", |
| "output": "matching depth/video window", |
| "split": "chronological", |
| "num_train_windows": 813, |
| "num_test_windows": 348 |
| }, |
| "modality_reconstruction": { |
| "mse": 1358.1593017578125, |
| "mae": 0.29572129249572754, |
| "r2": -0.015271898913936655, |
| "task": "modality_reconstruction", |
| "input": "motion/IMU/camera/audio", |
| "output": "depth/video feature vector", |
| "split": "chronological", |
| "num_train_windows": 813, |
| "num_test_windows": 348, |
| "target_dim": 5096 |
| }, |
| "temporal_order": { |
| "accuracy": 0.4540229885057471, |
| "precision": 0.4665271966527197, |
| "recall": 0.6408045977011494, |
| "f1": 0.5399515738498789, |
| "tp": 223, |
| "tn": 93, |
| "fp": 255, |
| "fn": 125, |
| "positive_rate_true": 0.5, |
| "positive_rate_pred": 0.6867816091954023, |
| "task": "temporal_order", |
| "input": "two adjacent windows -> whether order is correct", |
| "split": "chronological", |
| "num_samples": 2320, |
| "num_train_samples": 1624, |
| "num_test_samples": 696, |
| "train_final_accuracy": 0.5086206896551724 |
| }, |
| "misalignment_detection": { |
| "accuracy": 0.5158959537572254, |
| "precision": 0.5166163141993958, |
| "recall": 0.49421965317919075, |
| "f1": 0.5051698670605613, |
| "tp": 171, |
| "tn": 186, |
| "fp": 160, |
| "fn": 175, |
| "positive_rate_true": 0.5, |
| "positive_rate_pred": 0.47832369942196534, |
| "task": "misalignment_detection", |
| "input": "motion+visual/audio pair -> aligned vs shifted by 8 windows", |
| "split": "chronological", |
| "num_samples": 2306, |
| "num_train_samples": 1614, |
| "num_test_samples": 692, |
| "train_final_accuracy": 0.49380421313506817 |
| } |
| }, |
| "neural_model": { |
| "name": "neural_mlp", |
| "type": "lightweight PyTorch MLP over shared window features", |
| "epochs": 80, |
| "hidden_dim": 128, |
| "batch_size": 128, |
| "learning_rate": 0.001, |
| "weight_decay": 0.0001, |
| "dropout": 0.1, |
| "device": "auto" |
| }, |
| "neural_tasks": { |
| "timeline_action": { |
| "accuracy": 0.008746355685131196, |
| "balanced_accuracy": 0.009375, |
| "macro_f1": 0.014814814814814814, |
| "weighted_f1": 0.013821401576503616, |
| "num_eval_windows": 343, |
| "num_classes": 18, |
| "task": "timeline_action", |
| "input": "all modalities -> current action label", |
| "split": "chronological", |
| "num_windows": 1144, |
| "num_train_windows": 801, |
| "num_test_windows": 343, |
| "feature_dim": 8546, |
| "majority_baseline_accuracy": 0.0, |
| "unseen_test_classes": [ |
| "Place item on table", |
| "Pour coffee", |
| "Pour milk into coffee", |
| "Wait/Prepare for pouring" |
| ], |
| "model": "neural_mlp", |
| "head": "z-score -> MLP softmax", |
| "neural_epochs": 80, |
| "neural_hidden_dim": 128, |
| "neural_batch_size": 128, |
| "neural_learning_rate": 0.001, |
| "neural_weight_decay": 0.0001, |
| "neural_dropout": 0.1, |
| "neural_device": "cpu", |
| "train_final_loss": 0.04246756529782, |
| "train_final_accuracy": 0.9875156054931336 |
| }, |
| "timeline_subtask": { |
| "accuracy": 0.0377906976744186, |
| "balanced_accuracy": 0.045614035087719294, |
| "macro_f1": 0.02810810810810811, |
| "weighted_f1": 0.023287240729101197, |
| "num_eval_windows": 344, |
| "num_classes": 14, |
| "task": "timeline_subtask", |
| "input": "all modalities -> current subtask label", |
| "split": "chronological", |
| "num_windows": 1147, |
| "num_train_windows": 803, |
| "num_test_windows": 344, |
| "feature_dim": 8546, |
| "majority_baseline_accuracy": 0.0, |
| "unseen_test_classes": [ |
| "Move bottle to coffee equipment", |
| "Pour coffee", |
| "Pour milk into coffee", |
| "Prepare for pouring" |
| ], |
| "model": "neural_mlp", |
| "head": "z-score -> MLP softmax", |
| "neural_epochs": 80, |
| "neural_hidden_dim": 128, |
| "neural_batch_size": 128, |
| "neural_learning_rate": 0.001, |
| "neural_weight_decay": 0.0001, |
| "neural_dropout": 0.1, |
| "neural_device": "cpu", |
| "train_final_loss": 5.4104819144748596e-05, |
| "train_final_accuracy": 1.0 |
| }, |
| "transition_detection": { |
| "accuracy": 0.8735632183908046, |
| "balanced_accuracy": 0.666039156626506, |
| "macro_f1": 0.5862068965517241, |
| "weighted_f1": 0.8993261989694807, |
| "num_eval_windows": 348, |
| "num_classes": 2, |
| "task": "transition_detection", |
| "input": "all modalities -> action boundary/steady", |
| "split": "chronological", |
| "num_windows": 1161, |
| "num_train_windows": 813, |
| "num_test_windows": 348, |
| "feature_dim": 8546, |
| "majority_baseline_accuracy": 0.9540229885057471, |
| "unseen_test_classes": [], |
| "model": "neural_mlp", |
| "head": "z-score -> MLP softmax", |
| "neural_epochs": 80, |
| "neural_hidden_dim": 128, |
| "neural_batch_size": 128, |
| "neural_learning_rate": 0.001, |
| "neural_weight_decay": 0.0001, |
| "neural_dropout": 0.1, |
| "neural_device": "cpu", |
| "train_final_loss": 0.029138497962572854, |
| "train_final_accuracy": 0.990159901599016, |
| "boundary_precision": 0.07142857142857142, |
| "boundary_recall": 0.75, |
| "boundary_f1": 0.13043478260869565, |
| "matched_boundaries": 3, |
| "true_boundaries": 4, |
| "predicted_boundaries": 42, |
| "mean_abs_timing_error_frames": 2.6666666666666665 |
| }, |
| "next_action": { |
| "accuracy": 0.02586206896551724, |
| "balanced_accuracy": 0.03, |
| "macro_f1": 0.04186046511627907, |
| "weighted_f1": 0.03608660785886127, |
| "num_eval_windows": 348, |
| "num_classes": 18, |
| "task": "next_action", |
| "input": "all modalities at t -> action at t+20 frames", |
| "split": "chronological", |
| "num_windows": 1161, |
| "num_train_windows": 813, |
| "num_test_windows": 348, |
| "feature_dim": 8546, |
| "majority_baseline_accuracy": 0.0, |
| "unseen_test_classes": [ |
| "Place item on table", |
| "Pour coffee", |
| "Pour milk into coffee", |
| "Wait/Prepare for pouring" |
| ], |
| "model": "neural_mlp", |
| "head": "z-score -> MLP softmax", |
| "neural_epochs": 80, |
| "neural_hidden_dim": 128, |
| "neural_batch_size": 128, |
| "neural_learning_rate": 0.001, |
| "neural_weight_decay": 0.0001, |
| "neural_dropout": 0.1, |
| "neural_device": "cpu", |
| "train_final_loss": 0.000416612956025105, |
| "train_final_accuracy": 1.0 |
| }, |
| "hand_trajectory_forecast": { |
| "mse": 0.004775360692292452, |
| "mae": 0.05433763191103935, |
| "r2": 0.43665148265771614, |
| "task": "hand_trajectory_forecast", |
| "input": "all modalities at t -> future left/right hand 3D joints", |
| "split": "chronological", |
| "num_windows": 1159, |
| "num_train_windows": 811, |
| "num_test_windows": 348, |
| "forecast_frames": 10, |
| "mpjpe": 0.10785018652677536, |
| "final_frame_mpjpe": 0.11407545953989029, |
| "target_dim": 1260, |
| "model": "neural_mlp", |
| "head": "z-score -> MLP regression", |
| "neural_epochs": 80, |
| "neural_hidden_dim": 128, |
| "neural_batch_size": 128, |
| "neural_learning_rate": 0.001, |
| "neural_weight_decay": 0.0001, |
| "neural_dropout": 0.1, |
| "neural_device": "cpu", |
| "train_final_loss": 0.055699273420247435 |
| }, |
| "contact_prediction": { |
| "accuracy": 1.0, |
| "balanced_accuracy": 1.0, |
| "macro_f1": 1.0, |
| "weighted_f1": 1.0, |
| "num_eval_windows": 348, |
| "num_classes": 1, |
| "task": "contact_prediction", |
| "input": "all non-contact/non-caption-label modalities -> any body contact", |
| "split": "chronological", |
| "num_windows": 1161, |
| "num_train_windows": 813, |
| "num_test_windows": 348, |
| "feature_dim": 7503, |
| "majority_baseline_accuracy": 1.0, |
| "unseen_test_classes": [], |
| "model": "neural_mlp", |
| "head": "z-score -> MLP softmax", |
| "neural_epochs": 80, |
| "neural_hidden_dim": 128, |
| "neural_batch_size": 128, |
| "neural_learning_rate": 0.001, |
| "neural_weight_decay": 0.0001, |
| "neural_dropout": 0.1, |
| "neural_device": "cpu", |
| "train_final_loss": 0.0, |
| "train_final_accuracy": 1.0 |
| }, |
| "object_relevance": { |
| "micro_f1": 0.1679279279279279, |
| "macro_f1": 0.048883162556964774, |
| "exact_match": 0.014367816091954023, |
| "precision": 0.16431593794076163, |
| "recall": 0.17170228445099484, |
| "task": "object_relevance", |
| "input": "all non-caption modalities -> current relevant object set", |
| "split": "chronological", |
| "num_windows": 1161, |
| "num_train_windows": 813, |
| "num_test_windows": 348, |
| "num_objects": 34, |
| "feature_dim": 7650, |
| "model": "neural_mlp", |
| "head": "z-score -> MLP sigmoid multilabel", |
| "neural_epochs": 80, |
| "neural_hidden_dim": 128, |
| "neural_batch_size": 128, |
| "neural_learning_rate": 0.001, |
| "neural_weight_decay": 0.0001, |
| "neural_dropout": 0.1, |
| "neural_device": "cpu", |
| "train_final_loss": 0.003651880362182214 |
| }, |
| "caption_grounding": { |
| "mrr": 0.01684125567132316, |
| "median_rank": 180.5, |
| "mean_rank": 178.382183908046, |
| "num_queries": 348, |
| "top1_accuracy": 0.0028735632183908046, |
| "top5_accuracy": 0.014367816091954023, |
| "top10_accuracy": 0.020114942528735632, |
| "task": "caption_grounding", |
| "input": "caption objects/interaction text query + candidate sensor windows", |
| "split": "chronological", |
| "num_train_windows": 813, |
| "num_test_windows": 348, |
| "target_dim": 896, |
| "output": "matching time window", |
| "model": "neural_mlp", |
| "head": "z-score -> MLP projection/regression", |
| "neural_epochs": 80, |
| "neural_hidden_dim": 128, |
| "neural_batch_size": 128, |
| "neural_learning_rate": 0.001, |
| "neural_weight_decay": 0.0001, |
| "neural_dropout": 0.1, |
| "neural_device": "cpu", |
| "train_final_loss": 0.06317874967483723 |
| }, |
| "cross_modal_retrieval": { |
| "mrr": 0.1299971898648288, |
| "median_rank": 40.0, |
| "mean_rank": 66.60057471264368, |
| "num_queries": 348, |
| "top1_accuracy": 0.05172413793103448, |
| "top5_accuracy": 0.19827586206896552, |
| "top10_accuracy": 0.2413793103448276, |
| "task": "cross_modal_retrieval", |
| "input": "motion/IMU/camera/audio query", |
| "split": "chronological", |
| "num_train_windows": 813, |
| "num_test_windows": 348, |
| "target_dim": 5096, |
| "output": "matching depth/video window", |
| "model": "neural_mlp", |
| "head": "z-score -> MLP projection/regression", |
| "neural_epochs": 80, |
| "neural_hidden_dim": 128, |
| "neural_batch_size": 128, |
| "neural_learning_rate": 0.001, |
| "neural_weight_decay": 0.0001, |
| "neural_dropout": 0.1, |
| "neural_device": "cpu", |
| "train_final_loss": 0.21891545446596464 |
| }, |
| "modality_reconstruction": { |
| "mse": 1351.3363037109375, |
| "mae": 0.10379635542631149, |
| "r2": -0.010171410134180991, |
| "task": "modality_reconstruction", |
| "input": "motion/IMU/camera/audio", |
| "split": "chronological", |
| "num_train_windows": 813, |
| "num_test_windows": 348, |
| "target_dim": 5096, |
| "output": "depth/video feature vector", |
| "model": "neural_mlp", |
| "head": "z-score -> MLP projection/regression", |
| "neural_epochs": 80, |
| "neural_hidden_dim": 128, |
| "neural_batch_size": 128, |
| "neural_learning_rate": 0.001, |
| "neural_weight_decay": 0.0001, |
| "neural_dropout": 0.1, |
| "neural_device": "cpu", |
| "train_final_loss": 0.21891545446596464 |
| }, |
| "temporal_order": { |
| "accuracy": 0.8577586206896551, |
| "precision": 0.8878504672897196, |
| "recall": 0.8189655172413793, |
| "f1": 0.8520179372197308, |
| "tp": 285, |
| "tn": 312, |
| "fp": 36, |
| "fn": 63, |
| "positive_rate_true": 0.5, |
| "positive_rate_pred": 0.46120689655172414, |
| "task": "temporal_order", |
| "input": "two adjacent windows -> whether order is correct", |
| "split": "chronological", |
| "num_samples": 2320, |
| "num_train_samples": 1624, |
| "num_test_samples": 696, |
| "feature_dim": 25638, |
| "model": "neural_mlp", |
| "head": "z-score -> MLP binary softmax", |
| "neural_epochs": 80, |
| "neural_hidden_dim": 128, |
| "neural_batch_size": 128, |
| "neural_learning_rate": 0.001, |
| "neural_weight_decay": 0.0001, |
| "neural_dropout": 0.1, |
| "neural_device": "cpu", |
| "train_final_loss": 0.0005108328477586757, |
| "train_final_accuracy": 1.0 |
| }, |
| "misalignment_detection": { |
| "accuracy": 0.7008670520231214, |
| "precision": 0.6824146981627297, |
| "recall": 0.7514450867052023, |
| "f1": 0.7152682255845944, |
| "tp": 260, |
| "tn": 225, |
| "fp": 121, |
| "fn": 86, |
| "positive_rate_true": 0.5, |
| "positive_rate_pred": 0.5505780346820809, |
| "task": "misalignment_detection", |
| "input": "motion+visual/audio pair -> aligned vs shifted by 8 windows", |
| "split": "chronological", |
| "num_samples": 2306, |
| "num_train_samples": 1614, |
| "num_test_samples": 692, |
| "feature_dim": 7511, |
| "model": "neural_mlp", |
| "head": "z-score -> MLP binary softmax", |
| "neural_epochs": 80, |
| "neural_hidden_dim": 128, |
| "neural_batch_size": 128, |
| "neural_learning_rate": 0.001, |
| "neural_weight_decay": 0.0001, |
| "neural_dropout": 0.1, |
| "neural_device": "cpu", |
| "train_final_loss": 0.010604870708167664, |
| "train_final_accuracy": 0.9956629491945477 |
| } |
| } |
| }, |
| "feature_manifest": [ |
| { |
| "name": "hand left joints", |
| "start": 0, |
| "end": 441, |
| "dim": 441 |
| }, |
| { |
| "name": "hand right joints", |
| "start": 441, |
| "end": 882, |
| "dim": 441 |
| }, |
| { |
| "name": "body joints", |
| "start": 882, |
| "end": 1974, |
| "dim": 1092 |
| }, |
| { |
| "name": "body contacts", |
| "start": 1974, |
| "end": 2121, |
| "dim": 147 |
| }, |
| { |
| "name": "camera translation", |
| "start": 2121, |
| "end": 2142, |
| "dim": 21 |
| }, |
| { |
| "name": "camera rotation matrix", |
| "start": 2142, |
| "end": 2205, |
| "dim": 63 |
| }, |
| { |
| "name": "imu accel gyro", |
| "start": 2205, |
| "end": 2247, |
| "dim": 42 |
| }, |
| { |
| "name": "depth confidence", |
| "start": 2247, |
| "end": 3227, |
| "dim": 980 |
| }, |
| { |
| "name": "video fisheye cam0", |
| "start": 3227, |
| "end": 3913, |
| "dim": 686 |
| }, |
| { |
| "name": "video fisheye cam1", |
| "start": 3913, |
| "end": 4599, |
| "dim": 686 |
| }, |
| { |
| "name": "video fisheye cam2", |
| "start": 4599, |
| "end": 5285, |
| "dim": 686 |
| }, |
| { |
| "name": "video fisheye cam3", |
| "start": 5285, |
| "end": 5971, |
| "dim": 686 |
| }, |
| { |
| "name": "video stereo left", |
| "start": 5971, |
| "end": 6657, |
| "dim": 686 |
| }, |
| { |
| "name": "video stereo right", |
| "start": 6657, |
| "end": 7343, |
| "dim": 686 |
| }, |
| { |
| "name": "audio", |
| "start": 7343, |
| "end": 7511, |
| "dim": 168 |
| }, |
| { |
| "name": "language text", |
| "start": 7511, |
| "end": 8407, |
| "dim": 896 |
| }, |
| { |
| "name": "slam point cloud", |
| "start": 8407, |
| "end": 8429, |
| "dim": 22 |
| }, |
| { |
| "name": "calibration", |
| "start": 8429, |
| "end": 8546, |
| "dim": 117 |
| } |
| ] |
| } |
|
|
