Welcome to Torchvision_sunner documentation!¶
This is the english version of Torchvision_sunner package.
Currently, we only support english tutorial. Maybe the Chinese manual will support in the future.
In this book, we will explain the usage of each function in Torchvision_sunner.
Contents:
- What is Torchvision_sunner?
- Let’s Get Start!
- Dataset
- Extend your data format
- API
- torchvision_sunner.data
- torchvision_sunner.data.loader
- torchvision_sunner.transforms
- torchvision_sunner.transforms.OP [source]
- torchvision_sunner.transforms.ToTensor [source]
- torchvision_sunner.transforms.ToFloat [source]
- torchvision_sunner.transforms.Transpose [source]
- torchvision_sunner.transforms.RandomHorizontalFlip [source]
- torchvision_sunner.transforms.RandomVerticalFlip [source]
- torchvision_sunner.transforms.GrayStack [source]
- torchvision_sunner.transforms.Resize [source]
- torchvision_sunner.transforms.Normalize [source]
- torchvision_sunner.transforms.UnNormalize [source]
- torchvision_sunner.transforms.ToGray [source]
- torchvision_sunner.transforms.categorical
- torchvision_sunner.transforms.function
- Constant
- Example 1: Deal with Images
- Example 2: Deal with Video
- Example 3: Deal with Categorical Data
- Example 4: Tackle with CityScapes
- Example 5: Train-test-split
- F & Q