| _base_ = [ | |
| '../_base_/models/cascade_rcnn_r50_fpn.py', | |
| '../_base_/datasets/coco_detection.py', | |
| '../_base_/schedules/schedule_1x.py', '../_base_/default_runtime.py' | |
| ] | |
| model = dict( | |
| backbone=dict( | |
| type='DetectoRS_ResNet', | |
| conv_cfg=dict(type='ConvAWS'), | |
| output_img=True), | |
| neck=dict( | |
| type='RFP', | |
| rfp_steps=2, | |
| aspp_out_channels=64, | |
| aspp_dilations=(1, 3, 6, 1), | |
| rfp_backbone=dict( | |
| rfp_inplanes=256, | |
| type='DetectoRS_ResNet', | |
| depth=50, | |
| num_stages=4, | |
| out_indices=(0, 1, 2, 3), | |
| frozen_stages=1, | |
| norm_cfg=dict(type='BN', requires_grad=True), | |
| norm_eval=True, | |
| conv_cfg=dict(type='ConvAWS'), | |
| pretrained='torchvision://resnet50', | |
| style='pytorch'))) | |