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ssd_train_dataset.py File Reference
Go to the source code of this file.
Classes
class
ssd_train_dataset.MultiboxTrainChain
class
ssd_train_dataset.SSDDataset
class
ssd_train_dataset.Transform
Namespaces
namespace
ssd_train_dataset
Variables
tuple
ssd_train_dataset.args
=
p.parse_args
()
tuple
ssd_train_dataset.dataset
= SSDDataset(args.train, label_names)
tuple
ssd_train_dataset.label_names
= tuple(yaml.load(
f
))
string
ssd_train_dataset.log_interval
= "iteration"
tuple
ssd_train_dataset.model
= SSD300(n_fg_class=len(dataset.label_names))
tuple
ssd_train_dataset.optimizer
= chainer.optimizers.MomentumSGD(lr=args.lr)
tuple
ssd_train_dataset.p
= argparse.ArgumentParser()
tuple
ssd_train_dataset.pretrained_model
= SSD300(pretrained_model=args.base_model)
tuple
ssd_train_dataset.test
= SSDDataset(args.val, label_names)
tuple
ssd_train_dataset.test_iter
tuple
ssd_train_dataset.train
= SSDDataset(args.train, label_names)
tuple
ssd_train_dataset.train_chain
= MultiboxTrainChain(model)
tuple
ssd_train_dataset.train_iter
tuple
ssd_train_dataset.trainer
ssd_train_dataset.trigger
= val_interval)
tuple
ssd_train_dataset.updater
string
ssd_train_dataset.val_interval
= "iteration"
jsk_perception
Author(s): Manabu Saito, Ryohei Ueda
autogenerated on Tue Jul 2 2019 19:41:08