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train_net: "train_3d_denseseg.prototxt"
base_lr: 0.0002
display: 20
max_iter: 200000
lr_policy: "step"
gamma: 0.1
momentum: 0.97
weight_decay: 0.0005
stepsize: 50000
snapshot: 2000
snapshot_prefix: "./snapshot/3d_denseseg_iseg"
solver_mode: GPU
random_seed: 831486
average_loss: 20
iter_size: 1
type: "Adam"