parameters.ini

[param_setting]
; train / test / gen_map
phase = train
; batch size in training, 1
batch_size = 1
; batch size in training, 96
inputI_size = 96
; input channel number, 1
inputI_chn = 2
; output image size, 96
outputI_size = 96
; output channel, 8
output_chn = 2
; label rename map
rename_map = 0, 1, 2, 4
; volume resize ratio
resize_r = 1
; training data directory  traindata_dir =  /home/lixiangyu/Dataset/BraTS2019 /home/server/home/Dataset/BraTS2019
traindata_dir =  /home/lixiangyu/Dataset/BraTS2019_train/train
; checkpoint directory
chkpoint_dir = outcome/checkpoint
; learning rate of Adam, 1e-3 ，At first :0.001  when reach plateu decrease to 0.0005
learning_rate =0.001
; momentum term of Adam, 0.5
beta1 = 0.5
; training epoch, 10000
epoch =60000
; model name
model_name = ds_ft_hybrid_4ct.model
; model save interval
save_intval = 1000
; testing data  directory /home/lixiangyu/Dataset/mix/test /home/server/home/Dataset/mix/test
testdata_dir =  /home/lixiangyu/Dataset/mix/test
; labeling output directory
labeling_dir = outcome/label
; cube overlap factor： training:1 test:4
ovlp_ita =1

step=2000
Stages=6
Blocks=1
Columns=3
; Hard negative mining parameters
fg_ratio = 2
bg_ratio = 32
; Focal loss Flag
focal_loss_flag = False