mmpretrain/configs/eva02/eva02-small-p14_headless.py

21 lines
492 B
Python

model = dict(
type='ImageClassifier',
backbone=dict(
type='ViTEVA02',
arch='s',
img_size=224,
patch_size=14,
final_norm=False,
out_type='avg_featmap'),
neck=None,
head=None,
)
data_preprocessor = dict(
# RGB format normalization parameters
mean=[0.48145466 * 255, 0.4578275 * 255, 0.40821073 * 255],
std=[0.26862954 * 255, 0.26130258 * 255, 0.27577711 * 255],
# convert image from BGR to RGB
to_rgb=True,
)