# 需要导入模块: from torchvision import datasets [as 别名]# 或者: from torchvision.datasets importSTL10[as 别名]defget(batch_size, data_root='/mnt/local0/public_dataset/pytorch/', train=True, val=True, **kwargs):data_root = os.path.expanduser(os.path.join(data_root,'stl10-data')) n...
label):label_indices=[]foriinrange(len(target)):iftarget[i]==label:label_indices.append(i)ret...
pytorchautoencoderscifar10variational-autoencoderstl10 UpdatedFeb 2, 2021 Python Comparing different learning paradigms on the STL 10 dataset and carrying further analysis in each method supervised-learningsemi-supervised-learningstl10self-supervised-learningautoaugmentcontrastive-learningsimclr2 ...
This is a playground for pytorch beginners, which contains predefined models on popular dataset. Currently we support mnist, svhn cifar10, cifar100 stl10 alexnet vgg16, vgg16_bn, vgg19, vgg19_bn resnet18, resnet34, resnet50, resnet101, resnet152 ...
):iftarget[i]==label:label_indices.append(i)returnlabel_indices #STL10dataset train_dataset=...
export PYTHONPATH=/path/to/pytorch-playground:$PYTHONPATH ImageNet dataset We provide precomputed imagenet validation dataset with 224x224x3 size. We first resize the shorter size of image to 256, then we crop 224x224 image in the center. Then we encode the cropped images to jpg string an...
This is a playground for pytorch beginners, which contains predefined models on popular dataset. Currently we support mnist, svhn cifar10, cifar100 stl10 alexnet vgg16, vgg16_bn, vgg19, vgg19_bn resnet18, resnet34, resnet50, resnet101, resnet152 ...