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Running
on
Zero
Running
on
Zero
File size: 1,609 Bytes
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_base_ = [
'../_base_/models/faster-rcnn_r50_fpn.py',
'../_base_/schedules/schedule_1x.py', '../_base_/default_runtime.py',
'../_base_/datasets/dsdl.py'
]
model = dict(roi_head=dict(bbox_head=dict(num_classes=365)))
# dsdl dataset settings
# please visit our platform [OpenDataLab](https://opendatalab.com/)
# to downloaded dsdl dataset.
data_root = 'data/Objects365'
img_prefix = 'original'
train_ann = 'dsdl/set-train/train.yaml'
val_ann = 'dsdl/set-val/val.yaml'
specific_key_path = dict(ignore_flag='./annotations/*/iscrowd')
train_dataloader = dict(
dataset=dict(
specific_key_path=specific_key_path,
data_root=data_root,
ann_file=train_ann,
data_prefix=dict(img_path=img_prefix),
filter_cfg=dict(filter_empty_gt=True, min_size=32, bbox_min_size=32),
))
val_dataloader = dict(
dataset=dict(
specific_key_path=specific_key_path,
data_root=data_root,
ann_file=val_ann,
data_prefix=dict(img_path=img_prefix),
test_mode=True,
))
test_dataloader = val_dataloader
default_hooks = dict(logger=dict(type='LoggerHook', interval=1000), )
train_cfg = dict(type='EpochBasedTrainLoop', max_epochs=3, 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=12,
by_epoch=True,
milestones=[1, 2],
gamma=0.1)
]
# optimizer
optim_wrapper = dict(
type='OptimWrapper',
optimizer=dict(type='SGD', lr=0.01, momentum=0.9, weight_decay=0.0001))
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