options_lip.toml

title = "LipReading PyTorch"

[general]
usecudnn = true
usecudnnbenchmark = true
gpuid = "0"
loadpretrainedmodel = true
random_seed = 55
pretrainedmodelpath = 'weights/lrw1000_34.pt'

[input]
batchsize = 16
numworkers = 8
shuffle = true

[model]
type = "Finetune-label"
inputdim = 256
hiddendim = 256
numclasses = 1000
numlstms = 2

[training]
train = false
epochs = 1
startepoch = 0
statsfrequency = 100 
data_root = 'LRW1000_Public/images'
index_root = 'LRW1000_Public/info/trn_1000.txt'
padding = 30
learningrate = 1e-3
momentum = 0.9
weightdecay = 0.003
save_prefix = "weights/tv_word_2000"

[validation]
validate = false
data_root = 'LRW1000_Public/images'
index_root = 'LRW1000_Public/info/val_1000.txt'
padding = 60
saveaccuracy = true


[test]
test = true
data_root = 'LRW1000_Public/images'
index_root = 'LRW1000_Public/info/tst_1000.txt'
padding = 60
saveaccuracy = true