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- _base_ = [
- '../_base_/models/mask-rcnn_r50_fpn.py',
- '../_base_/datasets/coco_instance.py',
- '../_base_/schedules/schedule_2x.py', '../_base_/default_runtime.py'
- ]
- model = dict(
- backbone=dict(
- frozen_stages=0,
- norm_cfg=dict(type='SyncBN', requires_grad=True),
- norm_eval=False,
- init_cfg=dict(
- type='Pretrained', checkpoint='./mocov2_r50_800ep_pretrain.pth')))
- train_pipeline = [
- dict(type='LoadImageFromFile', backend_args={{_base_.backend_args}}),
- dict(type='LoadAnnotations', with_bbox=True, with_mask=True),
- dict(
- type='RandomResize', scale=[(1333, 640), (1333, 800)],
- keep_ratio=True),
- dict(type='RandomFlip', prob=0.5),
- dict(type='PackDetInputs')
- ]
- train_dataloader = dict(dataset=dict(pipeline=train_pipeline))
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