effnet_b4#
Model info#
Python source#
#!/usr/bin/env python3
# Copyright (c) 2014-2021 Megvii Inc. All rights reserved.
from basecls.configs import EffNetConfig
_cfg = dict(
preprocess=dict(
img_size=380,
),
test=dict(
img_size=380,
crop_pct=380 / 412,
),
model=dict(
name="effnet_b4",
),
augments=dict(
rand_aug=dict(
magnitude=13,
),
),
)
class Cfg(EffNetConfig):
def __init__(self, values_or_file=None, **kwargs):
super().__init__(_cfg)
self.merge(values_or_file, **kwargs)