Migrations
/
pytorch-image-models
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity
You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
Branches Tags
${ item.name }
Create tag ${ searchTerm }
Create branch ${ searchTerm }
from 'v0.8.2dev0'
${ noResults }
pytorch-image-models/timm/data
History
Ross Wightman d1bfa9a000
Support HF datasets and TFSD w/ a sub-path by fixing split, fix #1598 ... add class mapping support to HF datasets in case class label isn't in info. 		2 years ago
..
readers Support HF datasets and TFSD w/ a sub-path by fixing split, fix #1598 ... add class mapping support to HF datasets in case class label isn't in info. 2 years ago
__init__.py Rename dataset/parsers -> dataset/readers, create_parser to create_reader, etc 2 years ago
auto_augment.py Fix aa min_max level clamp 2 years ago
config.py Add crop_mode for pretraind config / image transforms. Add support for dynamo compilation to benchmark/train/validate 2 years ago
constants.py Add crop_mode for pretraind config / image transforms. Add support for dynamo compilation to benchmark/train/validate 2 years ago
dataset.py Rename dataset/parsers -> dataset/readers, create_parser to create_reader, etc 2 years ago
dataset_factory.py Support HF datasets and TFSD w/ a sub-path by fixing split, fix #1598 ... add class mapping support to HF datasets in case class label isn't in info. 2 years ago
distributed_sampler.py Significant model refactor and additions: 3 years ago
loader.py Add crop_mode for pretraind config / image transforms. Add support for dynamo compilation to benchmark/train/validate 2 years ago
mixup.py Fix MobileNetV2 head conv size for multiplier < 1.0. Add some missing modification copyrights, fix starting date of some old ones. 3 years ago
random_erasing.py Refactor device handling in scripts, distributed init to be less 'cuda' centric. More device args passed through where needed. 2 years ago
real_labels.py Fix a bug with accuracy retrieving from RealLabels 4 years ago
tf_preprocessing.py Add crop_mode for pretraind config / image transforms. Add support for dynamo compilation to benchmark/train/validate 2 years ago
transforms.py Add crop_mode for pretraind config / image transforms. Add support for dynamo compilation to benchmark/train/validate 2 years ago
transforms_factory.py Add 3-Augment support to auto_augment.py, clean up weighted choice handling, and allow adjust per op prob via arg string 2 years ago