Classes | Variables
ssd_train_dataset Namespace Reference

Classes

class  MultiboxTrainChain
 
class  SSDDataset
 
class  Transform
 

Variables

 args = p.parse_args()
 
 dataset = SSDDataset(args.train, label_names)
 
 default
 
 file
 
 float
 
 help
 
 int
 
 label_names = tuple(yaml.load(f))
 
string log_interval = args.log_iter,"iteration"
 
 model = SSD300(n_fg_class=len(dataset.label_names))
 
 optimizer = chainer.optimizers.MomentumSGD(lr=args.lr)
 
 p = argparse.ArgumentParser()
 
 pretrained_model = SSD300(pretrained_model=args.base_model)
 
 str
 
 test = SSDDataset(args.val, label_names)
 
 test_iter
 
 train = SSDDataset(args.train, label_names)
 
 train_chain = MultiboxTrainChain(model)
 
 train_iter
 
 trainer
 
 trigger
 
 type
 
 updater
 
string val_interval = args.val_iter,"iteration"
 

Variable Documentation

ssd_train_dataset.args = p.parse_args()

Definition at line 185 of file ssd_train_dataset.py.

ssd_train_dataset.dataset = SSDDataset(args.train, label_names)

Definition at line 194 of file ssd_train_dataset.py.

ssd_train_dataset.default

Definition at line 173 of file ssd_train_dataset.py.

ssd_train_dataset.file

Definition at line 25 of file ssd_train_dataset.py.

ssd_train_dataset.float

Definition at line 180 of file ssd_train_dataset.py.

ssd_train_dataset.help

Definition at line 171 of file ssd_train_dataset.py.

ssd_train_dataset.int

Definition at line 175 of file ssd_train_dataset.py.

ssd_train_dataset.label_names = tuple(yaml.load(f))

Definition at line 189 of file ssd_train_dataset.py.

string ssd_train_dataset.log_interval = args.log_iter,"iteration"

Definition at line 248 of file ssd_train_dataset.py.

ssd_train_dataset.model = SSD300(n_fg_class=len(dataset.label_names))

Definition at line 206 of file ssd_train_dataset.py.

ssd_train_dataset.optimizer = chainer.optimizers.MomentumSGD(lr=args.lr)

Definition at line 227 of file ssd_train_dataset.py.

ssd_train_dataset.p = argparse.ArgumentParser()

Definition at line 170 of file ssd_train_dataset.py.

ssd_train_dataset.pretrained_model = SSD300(pretrained_model=args.base_model)

Definition at line 203 of file ssd_train_dataset.py.

ssd_train_dataset.str

Definition at line 178 of file ssd_train_dataset.py.

ssd_train_dataset.test = SSDDataset(args.val, label_names)

Definition at line 195 of file ssd_train_dataset.py.

ssd_train_dataset.test_iter
Initial value:
1 = chainer.iterators.SerialIterator(
2  test, args.batchsize,
3  repeat=False, shuffle=False)

Definition at line 223 of file ssd_train_dataset.py.

ssd_train_dataset.train = SSDDataset(args.train, label_names)

Definition at line 195 of file ssd_train_dataset.py.

ssd_train_dataset.train_chain = MultiboxTrainChain(model)

Definition at line 212 of file ssd_train_dataset.py.

ssd_train_dataset.train_iter
Initial value:
1 = chainer.iterators.MultiprocessIterator(
2  train, args.batchsize)

Definition at line 220 of file ssd_train_dataset.py.

ssd_train_dataset.trainer
Initial value:
1 = training.Trainer(
2  updater, (args.iteration, "iteration"), args.out)

Definition at line 238 of file ssd_train_dataset.py.

ssd_train_dataset.trigger

Definition at line 246 of file ssd_train_dataset.py.

ssd_train_dataset.type

Definition at line 175 of file ssd_train_dataset.py.

ssd_train_dataset.updater
Initial value:
1 = training.StandardUpdater(
2  train_iter, optimizer, device=args.gpu)

Definition at line 236 of file ssd_train_dataset.py.

string ssd_train_dataset.val_interval = args.val_iter,"iteration"

Definition at line 241 of file ssd_train_dataset.py.



jsk_perception
Author(s): Manabu Saito, Ryohei Ueda
autogenerated on Mon May 3 2021 03:03:28