mmpretrain/configs/glip/glip-t_headless.py

19 lines
434 B
Python

model = dict(
type='ImageClassifier',
backbone=dict(
type='SwinTransformer',
arch='tiny',
img_size=224,
out_indices=(1, 2, 3), # original weight is for detection
),
neck=None,
head=None)
data_preprocessor = dict(
# RGB format normalization parameters
mean=[103.53, 116.28, 123.675],
std=[57.375, 57.12, 58.395],
# convert image from BGR to RGB
to_rgb=False,
)