| _base_ = '../mask_rcnn/mask-rcnn_r50_fpn_1x_coco.py' | |
| train_pipeline = [ | |
| dict(type='LoadImageFromFile', backend_args={{_base_.backend_args}}), | |
| dict( | |
| type='InstaBoost', | |
| action_candidate=('normal', 'horizontal', 'skip'), | |
| action_prob=(1, 0, 0), | |
| scale=(0.8, 1.2), | |
| dx=15, | |
| dy=15, | |
| theta=(-1, 1), | |
| color_prob=0.5, | |
| hflag=False, | |
| aug_ratio=0.5), | |
| dict(type='LoadAnnotations', with_bbox=True, with_mask=True), | |
| dict(type='Resize', scale=(1333, 800), keep_ratio=True), | |
| dict(type='RandomFlip', prob=0.5), | |
| dict(type='PackDetInputs') | |
| ] | |
| train_dataloader = dict(dataset=dict(pipeline=train_pipeline)) | |
| max_epochs = 48 | |
| param_scheduler = [ | |
| dict( | |
| type='LinearLR', start_factor=0.001, by_epoch=False, begin=0, end=500), | |
| dict( | |
| type='MultiStepLR', | |
| begin=0, | |
| end=max_epochs, | |
| by_epoch=True, | |
| milestones=[32, 44], | |
| gamma=0.1) | |
| ] | |
| train_cfg = dict(max_epochs=max_epochs) | |
| # only keep latest 3 checkpoints | |
| default_hooks = dict(checkpoint=dict(max_keep_ckpts=3)) | |