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_base_ = '_base_panet_resnet18_fpem-ffm.py' | |
model = dict( | |
type='PANet', | |
backbone=dict( | |
_delete_=True, | |
type='mmdet.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, | |
style='caffe', | |
init_cfg=dict(type='Pretrained', checkpoint='torchvision://resnet50'), | |
), | |
neck=dict(in_channels=[256, 512, 1024, 2048]), | |
det_head=dict(postprocessor=dict(text_repr_type='poly'))) | |