| _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'))) | |
| data = dict(samples_per_gpu=1, workers_per_gpu=1) | |
| # learning policy | |
| lr_config = dict(step=[16, 19]) | |
| runner = dict(type='EpochBasedRunner', max_epochs=20) | |