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- _base_ = './vfnet_r50-mdconv-c3-c5_fpn_ms-2x_coco.py'
- model = dict(
- backbone=dict(
- type='ResNeXt',
- depth=101,
- groups=32,
- base_width=4,
- num_stages=4,
- out_indices=(0, 1, 2, 3),
- frozen_stages=1,
- norm_cfg=dict(type='BN', requires_grad=True),
- norm_eval=True,
- style='pytorch',
- dcn=dict(type='DCNv2', deform_groups=1, fallback_on_stride=False),
- stage_with_dcn=(False, True, True, True),
- init_cfg=dict(
- type='Pretrained', checkpoint='open-mmlab://resnext101_32x4d')))
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