| _base_ = '../mask_rcnn/mask-rcnn_r50_fpn_1x_coco.py' | |
| norm_cfg = dict(type='GN', num_groups=32, requires_grad=True) | |
| model = dict( | |
| backbone=dict( | |
| norm_cfg=norm_cfg, | |
| init_cfg=dict( | |
| type='Pretrained', checkpoint='open-mmlab://contrib/resnet50_gn')), | |
| neck=dict(norm_cfg=norm_cfg), | |
| roi_head=dict( | |
| bbox_head=dict( | |
| type='Shared4Conv1FCBBoxHead', | |
| conv_out_channels=256, | |
| norm_cfg=norm_cfg), | |
| mask_head=dict(norm_cfg=norm_cfg))) | |
| # learning policy | |
| max_epochs = 24 | |
| train_cfg = dict(max_epochs=max_epochs) | |
| # learning rate | |
| 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, 22], | |
| gamma=0.1) | |
| ] | |