| _base_ = '../faster_rcnn/faster-rcnn_r50_fpn_1x_coco.py' | |
| model = dict( | |
| roi_head=dict( | |
| type='DoubleHeadRoIHead', | |
| reg_roi_scale_factor=1.3, | |
| bbox_head=dict( | |
| _delete_=True, | |
| type='DoubleConvFCBBoxHead', | |
| num_convs=4, | |
| num_fcs=2, | |
| in_channels=256, | |
| conv_out_channels=1024, | |
| 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=2.0), | |
| loss_bbox=dict(type='SmoothL1Loss', beta=1.0, loss_weight=2.0)))) | |