data_name: all
# net_name: recresacnet
# net_name: recmutattnnet
net_name: recmutattnnet_contrastive
# net_name: recmutattnnet1
# net_name: defrecmutattnnet
ndims: 3
img_size: 128 
batchsize: 1 #1 for testing
ddf_pad_mode: border
device: cuda
img_pad_mode: zeros
num_input_chn: 1
padding_mode: border
resample_mode: bilinear
timesteps: 80
v_scale: 5.0e-05
# =========================
# TRAINING SETTING
epoch: 100
epoch_per_save: 1
lr: 0.00001
noise_scale: 0.1
# =========================
# AUGMENTATION SETTING
patients_list: []
# model_id_str: '000000'
# model_id_str: '000180' # before registration training
# model_id_str: '000353'  # good augmentation results on msd
model_id_str: '000354'  # 
# model_id_str: '000157'
# model_id_str: '000171'
start_noise_step: 48      # starting from which noise step to add noise
noise_step: 1
aug_coe: 64                  # how many times each sample will be augmented
# start_noise_step: 56      # starting from which noise step to add noise
# noise_step: 4
# aug_coe: 4                  # how many times each sample will be augmented
condition_type: 'uncon'       # 'None', 'none', 'adding','independ', 'downsample', 'slice', 'project', 'uncon'
# aug_img_savepath: Data/Aug_data/totseg/img/
# aug_msk_savepath: Data/Aug_data/totseg/msk/
# aug_ddf_savepath: Data/Aug_data/totseg/ddf/
# aug_img_savepath: Data/Aug_data/om/img/
# aug_msk_savepath: Data/Aug_data/om/msk/
# aug_ddf_savepath: Data/Aug_data/om/ddf/
reg_img_savepath: Data/Reg_data/om/img/
reg_msk_savepath: Data/Reg_data/om/msk/
reg_ddf_savepath: Data/Reg_data/om/ddf/
aug_img_savepath: Data/Aug_data/msd/img/
aug_msk_savepath: Data/Aug_data/msd/msk/
aug_ddf_savepath: Data/Aug_data/msd/ddf/