Skip to content

Latest commit

 

History

History
37 lines (31 loc) · 1.07 KB

README.md

File metadata and controls

37 lines (31 loc) · 1.07 KB

Data_Augmentations_Pytorch

This repository intergrated various Data Augmentation methods. Our implementation is based on these repositories:

Dataset

  • CIFAR10, CIFAR100

Model

  • ResNet

Training Start

Requirements

  • Python3
  • PyTorch (> 1.0)
  • torchvision (> 0.2)
  • NumPy

Training Command

  • Hyperparamters for each augmentation method are fixed to same values on each original paper
  • ex) dataset : cifar100, augmentation : cutout, model: resnet110, index of the number of trainings: 1
python3 ./train.py \
--type cifar100 \
--model resnet \
--depth 110 \
--tn 1 \
--augtype cutout \
--length 8