all.txt

########## spec_config ##########

### default
model = None
net_idx = None
path_key = None

# data & file path
path_img = None

### data
dim = 3
label_length = 2
sequence = 'ALL'

### Net
dv_num = [1,2,3]
cls_num = [1,2,3]

**** mr cls ****
cls_only = False
cls_ratio = 0
cls_loss = 'bce'
cls_output = 2

# s - simple
# p - Path-RCNN
cls_block = 's'
cls_w = 1

**** MC ****
MC_share = False

**** MP ****
share_b = [0]

# CO - conv
# SE - channel attention
# NL - Non-Local
# CASA - Channel & Spatial
MC_block = 'SE'

**** Non-Local ****
# 'gaussian', 'embedded',
# 'dot', 'concatenate'
NL_mode = 'embedded'

### train
pre_train = True
fix_BN = True
lth = 0.4
hth = 0.5
alpha = 0.25

### eval
cls_th = 0.05
nms_th = 0.01
s_th = 0.05
max_dets = 100
iou_th = 0.3

########## common_config ##########

**** hardware config ****
gpu_idx = 0
*************************

**** mode ****
mode = 'train'
eval = False
***********************************

**** train & val config ****
# train set
epoch = 36
start_epoch = 1
gap_epoch = 10

# dataloader set
# batch balance
train_bs = 16
num_workers = 4
val_bs = 1
test_num_workers = 0
***********************************

**** data config ****
# win set(white/un/ci)
win = 'ci'

# mirror
mirror = True

# Mask-RCNN size
in_size = 448

**** pixel-wise trans ****
# contrast
contrast = False
contrast_range = [0.65, 1.5]

# brightness
brightness = False
b_range = [0.7, 1.3]

# gaussian noise
noise = False
noise_range = [0, 0.1]
***********************************

**** optimizer config ****
optim = 'AdamW'
wd = 0.01
lr = 0.0001
flood = False
patience = 3
cos_lr = False
Tmax = 20
lr_gap = 100
cycle_r = False
***********************************

**** model config ****
save_log = False
***********************************