PyTorch概述（三）---Datasets

torchvision .datasets 模块中提供很多内置数据集;
以及很多工具类用于构建用户自己的数据集;

内置数据集

所有内置的数据集都是 torch.utils.data.Dataset的子类;
也就是他们都具有已经实现的__getitem__和__len__方法;
内置数据集都能够被送到torch.utils.data.DataLoader;
以并行的方式使用torch.multiprocessing加载多种样本;
代码实例:

python 复制代码

import torch.utils.data
import torchvision.datasets
imagenet_data=torchvision.datasets.ImageNet('path/to/imagenet_root/')
data_loader=torch.utils.data.DataLoader(imagenet_data,
                                        batch_size=4,
                                        shuffle=True,
                                        num_workers=args.nThreads)

所有的数据集具有类似的 API;
所有的 API 都具有两个共同的参数:transform 和 target_transform,独立的转换输入和目标;
使用 pytorch 提供的基础类用户可以创建自己的数据集；

图像分类数据集

|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Caltech101(root[, target_type, transform, ...]) | Caltech 101 Dataset. |
| Caltech256(root[, transform, ...]) | Caltech 256 Dataset. |
| CelebA(root[, split, target_type, ...]) | Large-scale CelebFaces Attributes (CelebA) Dataset Dataset. |
| CIFAR10(root[, train, transform, ...]) | CIFAR10 Dataset. |
| CIFAR100(root[, train, transform, ...]) | CIFAR100 Dataset. |
| Country211(root[, split, transform, ...]) | The Country211 Data Set from OpenAI. |
| DTD(root[, split, partition, transform, ...]) | Describable Textures Dataset (DTD). |
| EMNIST(root, split, **kwargs) | EMNIST Dataset. |
| EuroSAT(root[, transform, target_transform, ...]) | RGB version of the EuroSAT Dataset. |
| FakeData([size, image_size, num_classes, ...]) | A fake dataset that returns randomly generated images and returns them as PIL images |
| FashionMNIST(root[, train, transform, ...]) | Fashion-MNIST Dataset. |
| FER2013(root[, split, transform, ...]) | FER2013 Dataset. |
| FGVCAircraft(root[, split, ...]) | FGVC Aircraft Dataset. |
| Flickr8k(root, ann_file[, transform, ...]) | Flickr8k Entities Dataset. |
| Flickr30k(root, ann_file[, transform, ...]) | Flickr30k Entities Dataset. |
| Flowers102(root[, split, transform, ...]) | Oxford 102 Flower Dataset. |
| Food101(root[, split, transform, ...]) | The Food-101 Data Set. |
| GTSRB(root[, split, transform, ...]) | German Traffic Sign Recognition Benchmark (GTSRB) Dataset. |
| INaturalist(root[, version, target_type, ...]) | iNaturalist Dataset. |
| ImageNet(root[, split]) | ImageNet 2012 Classification Dataset. |
| Imagenette(root[, split, size, download, ...]) | Imagenette image classification dataset. |
| KMNIST(root[, train, transform, ...]) | Kuzushiji-MNIST Dataset. |
| LFWPeople(root[, split, image_set, ...]) | LFW Dataset. |
| LSUN(root[, classes, transform, ...]) | LSUN dataset. |
| MNIST(root[, train, transform, ...]) | MNIST Dataset. |
| Omniglot(root[, background, transform, ...]) | Omniglot Dataset. |
| OxfordIIITPet(root[, split, target_types, ...]) | Oxford-IIIT Pet Dataset. |
| Places365(root, split, small, download, ...) | Places365 classification dataset. |
| PCAM(root[, split, transform, ...]) | PCAM Dataset. |
| QMNIST(root[, what, compat, train]) | QMNIST Dataset. |
| RenderedSST2(root[, split, transform, ...]) | The Rendered SST2 Dataset. |
| SEMEION(root[, transform, target_transform, ...]) | SEMEION Dataset. |
| SBU(root[, transform, target_transform, ...]) | SBU Captioned Photo Dataset. |
| StanfordCars(root[, split, transform, ...]) | Stanford Cars Dataset |
| STL10(root[, split, folds, transform, ...]) | STL10 Dataset. |
| SUN397(root[, transform, target_transform, ...]) | The SUN397 Data Set. |
| SVHN(root[, split, transform, ...]) | SVHN Dataset. |
| USPS(root[, train, transform, ...]) | USPS Dataset. |

PyTorch概述（三）---Datasets

内置数据集

图像分类数据集

图像探测和分割数据集

光流数据集

立体匹配数据集

图像配对数据集

图像说明数据集

视频分类数据集

视频预测数据集

用于定制数据集的基础类

V2