| _base_ = './htc_r50_fpn_1x_coco.py' | |
| model = dict( | |
| backbone=dict( | |
| type='ResNeXt', | |
| depth=101, | |
| groups=32, | |
| base_width=4, | |
| num_stages=4, | |
| out_indices=(0, 1, 2, 3), | |
| frozen_stages=1, | |
| norm_cfg=dict(type='BN', requires_grad=True), | |
| norm_eval=True, | |
| style='pytorch', | |
| init_cfg=dict( | |
| type='Pretrained', checkpoint='open-mmlab://resnext101_32x4d'))) | |
| train_dataloader = dict(batch_size=1, num_workers=1) | |
| # learning policy | |
| max_epochs = 20 | |
| param_scheduler = [ | |
| dict( | |
| type='LinearLR', start_factor=0.001, by_epoch=False, begin=0, end=500), | |
| dict( | |
| type='MultiStepLR', | |
| begin=0, | |
| end=max_epochs, | |
| by_epoch=True, | |
| milestones=[16, 19], | |
| gamma=0.1) | |
| ] | |
| train_cfg = dict(max_epochs=max_epochs) | |