| # sh scripts/uncertainty/deepaugment/imagenet200_train_deepaugment.sh | |
| # the model sees three times the data as the baseline | |
| # so only trains for 90/3=30 epochs | |
| python main.py \ | |
| --config configs/datasets/imagenet200/imagenet200.yml \ | |
| configs/networks/resnet18_224x224.yml \ | |
| configs/pipelines/train/baseline.yml \ | |
| configs/preprocessors/base_preprocessor.yml \ | |
| --dataset.train.imglist_pth ./data/benchmark_imglist/imagenet200/train_imagenet200_deepaugment.txt \ | |
| --optimizer.num_epochs 30 \ | |
| --dataset.train.batch_size 128 \ | |
| --num_gpus 2 --num_workers 16 \ | |
| --merge_option merge \ | |
| --seed 0 \ | |
| --mark deepaugment | |