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- _base_ = '../retinanet/retinanet_r50_fpn_1x_coco.py'
- model = dict(
- bbox_head=dict(
- _delete_=True,
- type='FreeAnchorRetinaHead',
- num_classes=80,
- in_channels=256,
- stacked_convs=4,
- feat_channels=256,
- anchor_generator=dict(
- type='AnchorGenerator',
- octave_base_scale=4,
- scales_per_octave=3,
- ratios=[0.5, 1.0, 2.0],
- strides=[8, 16, 32, 64, 128]),
- bbox_coder=dict(
- type='DeltaXYWHBBoxCoder',
- target_means=[.0, .0, .0, .0],
- target_stds=[0.1, 0.1, 0.2, 0.2]),
- loss_bbox=dict(type='SmoothL1Loss', beta=0.11, loss_weight=0.75)))
- optim_wrapper = dict(clip_grad=dict(max_norm=35, norm_type=2))
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