| _base_ = '../faster_rcnn/faster_rcnn_r50_fpn_1x_coco.py' | |
| model = dict( | |
| roi_head=dict( | |
| type='DynamicRoIHead', | |
| bbox_head=dict( | |
| type='Shared2FCBBoxHead', | |
| in_channels=256, | |
| fc_out_channels=1024, | |
| roi_feat_size=7, | |
| num_classes=80, | |
| bbox_coder=dict( | |
| type='DeltaXYWHBBoxCoder', | |
| target_means=[0., 0., 0., 0.], | |
| target_stds=[0.1, 0.1, 0.2, 0.2]), | |
| reg_class_agnostic=False, | |
| loss_cls=dict( | |
| type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0), | |
| loss_bbox=dict(type='SmoothL1Loss', beta=1.0, loss_weight=1.0))), | |
| train_cfg=dict( | |
| rpn_proposal=dict(nms=dict(iou_threshold=0.85)), | |
| rcnn=dict( | |
| dynamic_rcnn=dict( | |
| iou_topk=75, | |
| beta_topk=10, | |
| update_iter_interval=100, | |
| initial_iou=0.4, | |
| initial_beta=1.0))), | |
| test_cfg=dict(rpn=dict(nms=dict(iou_threshold=0.85)))) | |