| # optimizer | |
| optimizer = dict(type='SGD', lr=0.01, momentum=0.9, weight_decay=0.0005) | |
| optimizer_config = dict() | |
| # learning policy | |
| lr_config = dict(policy='poly', power=0.9, min_lr=1e-4, by_epoch=False) | |
| # runtime settings | |
| runner = dict(type='IterBasedRunner', max_iters=20000) | |
| checkpoint_config = dict(by_epoch=False, interval=2000) | |
| evaluation = dict(interval=2000, metric='mIoU') | |