dataset_main_path: ./datasets dataset_annotation_path: ./datasets/annotations dataset_precomputed_path: ./datasets/processed if_resume_training: false device: cuda load: false load_path: '' output_log_path: ./trained_models/hmp/h36m/autoencoder batch_size: 64 batch_size_eval: 512 if_run_validation: false eval_frequency: 25 num_epochs: 200 num_iteration_eval: 10 num_workers: 4 seed: 52345 use_lr_scheduler: true lr_scheduler_kwargs: lr_scheduler_type: ExponentialLRSchedulerWarmup warmup_duration: 10 update_every: 1 min_lr: 0.0001 gamma_decay: 0.98 loss_pose_type: l1 lr: 0.005 latent_size: 96 output_size: 3 z_activation: tanh num_iter_perepoch: 485 obs_length: 25 prediction_horizon_train: 100 prediction_horizon_eval: 100 prediction_horizon: 100 pred_length: 100 prediction_horizon_train_min: 10 prediction_horizon_train_min_from_epoch: 200 curriculum_it: 10 random_prediction_horizon: true if_consider_hip: false history_sec: 0.5 prediction_horizon_sec: 2 motion_repr_type: SkeletonRescalePose pose_box_size: 1.5 seq_centering: 0 task_name: hmp num_joints: 17 fps: 50 multimodal_threshold: 0.5 dataset_type: H36MDataset dataset_name: h36m precomputed_folder: ./datasets/processed/Human36M/hmp/ annotations_folder: ./datasets/annotations/Human36M/hmp dtype: float32 data_loader_train: stride: 10 augmentation: 5 shuffle: true subjects: - S1 - S5 - S6 - S7 - S8 actions: all da_mirroring: 0.5 da_rotations: 1.0 drop_last: true if_load_mmgt: false data_loader_train_eval: stride: 30 augmentation: 0 shuffle: false subjects: - S1 - S5 - S6 - S7 - S8 actions: all da_mirroring: 0.0 da_rotations: 0.0 drop_last: false if_load_mmgt: false data_loader_valid: stride: 30 augmentation: 0 shuffle: false subjects: - S8 segments_path: ./datasets/annotations/Human36M/hmp/segments_valid.csv actions: all drop_last: false if_load_mmgt: false autoenc_arch: enc_num_layers: 1 encoder_hidden_size: 96 decoder_hidden_size: 96 arch: AutoEncoder recurrent_arch_enc: StaticGraphGRU recurrent_arch_decoder: StaticGraphGRU