Models can be trained with RandAugment for the dataset of interest with no need for a separate proxy task. By only tuning two hyperparameters(N, M), you can achieve competitive performances as AutoAugments. Install $ pip install git+https://github.com/ildoonet/pytorch-randaugment ...
Models can be trained with RandAugment for the dataset of interest with no need for a separate proxy task. By only tuning two hyperparameters(N, M), you can achieve competitive performances as AutoAugments. Install $ pip install git+https://github.com/ildoonet/pytorch-randaugment ...
Unofficial PyTorch Reimplementation of RandAugment. - pytorch-randaugment/setup.py at master · mil-tokyo/pytorch-randaugment
If I return aug only instead of aug.transforms.insert(0, RandAugment(4, 3)), there is no error. Error TypeError Traceback (most recent call last) <timed exec> in <module> D:\Datasets\Image dataset\Xray\SIAMESE-classifier\src\cross_vals.py in kfoldcv(model, data, epochs, n_splits,...
Hey @ildoonet. Thanks for your clarification on theconf. I've managed to run Wideresnet28_10 on CIFAR10 so far but our results don't match. I got: "loss_train": 0.7089337987777514, "loss_valid": 0.0, "loss_test": 0.10971159720420838, "to...
pytorch-randaugment Unofficial PyTorch Reimplementation of AutoAugment and RandAugment. Code taken fromhttps://github.com/DeepVoltaire/AutoAugmentandhttps://github.com/jizongFox/uda How to install: pip install randaugment How to use: fromrandaugmentimportRandAugment,ImageNetPolicydata=ImageFolder(rootdir,tran...