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- _base_ = 'yolact_r50_1x8_coco.py'
-
- optimizer = dict(type='SGD', lr=8e-3, momentum=0.9, weight_decay=5e-4)
- optimizer_config = dict(grad_clip=dict(max_norm=35, norm_type=2))
- # learning policy
- lr_config = dict(
- policy='step',
- warmup='linear',
- warmup_iters=1000,
- warmup_ratio=0.1,
- step=[20, 42, 49, 52])
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