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yolact_r50_8x8_coco.py 320 B

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

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