mmpretrain/configs/glip/glip-l_headless.py

19 lines
487 B
Python

model = dict(
type='ImageClassifier',
backbone=dict(
type='SwinTransformer',
arch='large',
img_size=384,
out_indices=(1, 2, 3), # original weight is for detection
stage_cfgs=dict(block_cfgs=dict(window_size=12))),
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,
)