| _base_ = '../retinanet/retinanet_r50_fpn_1x_coco.py' | |
| model = dict( | |
| bbox_head=dict( | |
| loss_cls=dict( | |
| _delete_=True, | |
| type='GHMC', | |
| bins=30, | |
| momentum=0.75, | |
| use_sigmoid=True, | |
| loss_weight=1.0), | |
| loss_bbox=dict( | |
| _delete_=True, | |
| type='GHMR', | |
| mu=0.02, | |
| bins=10, | |
| momentum=0.7, | |
| loss_weight=10.0))) | |
| optim_wrapper = dict(clip_grad=dict(max_norm=35, norm_type=2)) | |