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{
"additional_network_params": [],
"batch_size": 32,
"best_local_acc": -1,
"classes_indices_to_use": null,
"cont_run_number": 0,
"cycle_opt_prms": {
"initial_learning_rate": 1e-06,
"maximal_learning_rate": 0.0005,
"step_size": 10000
},
"datasets2use": {
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],
"train": [
"datasets_processed/modelnet40_normal_resampled_dirs/*train*/"
]
},
"ds_path": "datasets_processed/modelnet40_normal_resampled",
"ds_path_dirs": "datasets_processed/modelnet40_normal_resampled_dirs",
"full_accuracy_test": {
"dataset_expansion": "datasets_processed/modelnet40_normal_resampled_dirs/*test*/",
"labels": [
"airplane",
"bathtub",
"bed",
"bench",
"bookshelf",
"bottle",
"bowl",
"car",
"chair",
"cone",
"cup",
"curtain",
"desk",
"door",
"dresser",
"flower_pot",
"glass_box",
"guitar",
"keyboard",
"lamp",
"laptop",
"mantel",
"monitor",
"night_stand",
"person",
"piano",
"plant",
"radio",
"range_hood",
"sink",
"sofa",
"stairs",
"stool",
"table",
"tent",
"toilet",
"tv_stand",
"vase",
"wardrobe",
"xbox"
],
"n_models": Infinity,
"n_walks_per_model": 48
},
"gradient_clip_th": 1,
"initializers": "orthogonal",
"iter": 0,
"iters_to_train": 140000.0,
"last_layer_activation": "softmax",
"layer_sizes": null,
"learning_rate_dynamics": "cycle",
"log_freq": 100,
"logdir": "runs/0017-25.05.2022..22.40__modelnet40_normal_resampled",
"min_seq_len": 400,
"model_fn": "runs/0017-25.05.2022..22.40__modelnet40_normal_resampled/learned_model.keras",
"n_classes": 40,
"n_models_per_test_epoch": 300,
"n_walks_per_model": 1,
"net": "RnnWalkNet",
"net_gru_dropout": 0,
"net_input": [
"xyz",
"vertex_normals"
],
"net_input_dim": 6,
"net_start_from_prev_net": null,
"network_task": "classification",
"normalize_model": true,
"num_members": 1,
"number_of_features": 6,
"one_label_per_model": true,
"optimizer_type": "cycle",
"run_root_path": "runs",
"seq_len": 800,
"test_data_augmentation": {},
"test_dataset_size_limit": Infinity,
"train_data_augmentation": {
"jitter": 0.1
},
"train_dataset_size_limit": Infinity,
"train_loss": [
"cros_entr"
],
"use_norm_layer": "InstanceNorm",
"use_vertex_normals": true,
"walk_alg": "local_jumps"
}