# general
PROJECTNAME: 'Urban'
SESSIONAME: 'test'
DEVICE: 'cuda:0'
NUM_WORKERS: 10
ONLINELOG: False
SEED: 200
STOPCOUNTER: 400
VALID_FREQ: 2
WARMUP: 20
ROBUST_TRAIN: False
# model
MODEL: 'robofire'
NUM_OUTPUTS: 2
PRETRAINED: "weights/pretrained_480x640_w8_2_6.pth"
CHECKPOINT: null
WINDOW_SIZE: 8
TF_CONFIG: [2, 6]
# data
TRAINSET: 'lists/trainval_mfnet.txt'
VALIDSET: 'lists/val_mfnet.txt'
TESTSET: 'lists/test_mfnet.txt'
ROOTDATASET: './data/'
NUM_CLASSES: 9
CLS_NAMES: ['unlabeled', 'car', 'person', 'bike', 'curve', 'car stop', 'guardrail', 'color cone', 'bump']
MODE: 'fusion'
MULTISCALE: True
FLIP: True
BRIGHTNESS: True
SINGLE_SOURCE: False
COMP_MASK: True
BLEND_IMGS: True
IGNORE_LABEL: 255
SCALE_FACTOR: 10
CROP_SIZE: [480, 640]
BASE_SIZE: 640
CLASS_WEIGHTS: [1.42312027, 7.5367994, 9.39792775, 9.69024351, 9.90912422, 10.01344351, 10.37182548, 10.27949471, 10.16517178]
ALIGN_CORNERS: True
# loss and optimization
LR: 0.001
BATCHSIZE: 5
EPOCHS: 500
OPTIM: 'ADAM'
SCHED: 'COS'
USE_OHEM: False
OHEMTHRES: 0.9
OHEMKEEP: 131072
WD: 0.00001
MOMENTUM: 0.9
NESTEROV: False
BALANCE_WEIGHTS: [0.4, 1.0]
T_THRESH_BDLOSS: 0.8
BD_WEIGHT: 1.0
SB_WEIGHTS: 1.0