mmselfsup/configs/benchmarks/classification/tsne_imagenet.py

22 lines
637 B
Python

data_source = 'ImageNet'
dataset_type = 'SingleViewDataset'
name = 'imagenet_val'
img_norm_cfg = dict(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225])
data = dict(
imgs_per_gpu=8,
workers_per_gpu=4,
extract=dict(
type='SingleViewDataset',
data_source=dict(
type=data_source,
data_prefix='data/imagenet/val',
ann_file='data/imagenet/meta/val.txt',
),
pipeline=[
dict(type='Resize', size=256),
dict(type='CenterCrop', size=224),
dict(type='ToTensor'),
dict(type='Normalize', **img_norm_cfg),
]))