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- _base_ = [
- '../_base_/models/faster-rcnn_r50_fpn.py', '../_base_/datasets/voc0712.py',
- '../_base_/default_runtime.py'
- ]
- model = dict(roi_head=dict(bbox_head=dict(num_classes=20)))
- # training schedule, voc dataset is repeated 3 times, in
- # `_base_/datasets/voc0712.py`, so the actual epoch = 4 * 3 = 12
- max_epochs = 4
- train_cfg = dict(
- type='EpochBasedTrainLoop', max_epochs=max_epochs, val_interval=1)
- val_cfg = dict(type='ValLoop')
- test_cfg = dict(type='TestLoop')
- # learning rate
- param_scheduler = [
- dict(
- type='MultiStepLR',
- begin=0,
- end=max_epochs,
- by_epoch=True,
- milestones=[3],
- gamma=0.1)
- ]
- # optimizer
- optim_wrapper = dict(
- type='OptimWrapper',
- optimizer=dict(type='SGD', lr=0.01, momentum=0.9, weight_decay=0.0001))
- # Default setting for scaling LR automatically
- # - `enable` means enable scaling LR automatically
- # or not by default.
- # - `base_batch_size` = (8 GPUs) x (2 samples per GPU).
- auto_scale_lr = dict(enable=False, base_batch_size=16)
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