_base_ = [
    '../_base_/models/mask-rcnn_r50_fpn.py',
    '../_base_/datasets/deepfashion.py', '../_base_/schedules/schedule_1x.py',
    '../_base_/default_runtime.py'
]
model = dict(
    roi_head=dict(
        bbox_head=dict(num_classes=15), mask_head=dict(num_classes=15)))
# runtime settings
max_epochs = 15
train_cfg = dict(
    type='EpochBasedTrainLoop', max_epochs=max_epochs, val_interval=1)
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=[8, 11],
        gamma=0.1)
]

_base_ = [
    '../_base_/models/mask_rcnn_r50_fpn.py',
    '../_base_/datasets/deepfashion.py', '../_base_/schedules/schedule_1x.py',
    '../_base_/default_runtime.py'
]
model = dict(
    roi_head=dict(
        bbox_head=dict(num_classes=15), mask_head=dict(num_classes=15)))
# runtime settings
max_epochs = 15
train_cfg = dict(
    type='EpochBasedTrainLoop', max_epochs=max_epochs, val_interval=1)
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=[8, 11],
        gamma=0.1)
]
