mirror of https://github.com/open-mmlab/mmyolo.git
40 lines
875 B
Python
40 lines
875 B
Python
_base_ = './yolov5_s-v61_syncbn_fast_8xb16-300e_coco.py'
|
|
|
|
data_root = 'data/balloon/'
|
|
|
|
train_batch_size_per_gpu = 4
|
|
train_num_workers = 2
|
|
|
|
metainfo = {
|
|
'classes': ('balloon', ),
|
|
'palette': [
|
|
(220, 20, 60),
|
|
]
|
|
}
|
|
|
|
train_dataloader = dict(
|
|
batch_size=train_batch_size_per_gpu,
|
|
num_workers=train_num_workers,
|
|
dataset=dict(
|
|
data_root=data_root,
|
|
metainfo=metainfo,
|
|
data_prefix=dict(img='train/'),
|
|
ann_file='train.json'))
|
|
|
|
val_dataloader = dict(
|
|
dataset=dict(
|
|
data_root=data_root,
|
|
metainfo=metainfo,
|
|
data_prefix=dict(img='val/'),
|
|
ann_file='val.json'))
|
|
|
|
test_dataloader = val_dataloader
|
|
|
|
val_evaluator = dict(ann_file=data_root + 'val.json')
|
|
|
|
test_evaluator = val_evaluator
|
|
|
|
model = dict(bbox_head=dict(head_module=dict(num_classes=1)))
|
|
|
|
default_hooks = dict(logger=dict(interval=1))
|