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tensorplay.vision

tensorplay.vision is the computer-vision toolkit of TensorPlay, mirroring the torchvision package layout. The listing below is a static overview; the package requires optional dependencies (Pillow) for some entry points, so this page intentionally does not use autodoc.

Top-level functions

  • to_tensor, from_image, from_file — tensor/image conversion

  • make_grid, save_image — visualization helpers

  • set_backend, get_backend — image backend selection (PIL)

Submodules

  • tensorplay.vision.datasets — dataset classes and utilities (MNIST, CIFAR10/CIFAR100, ImageFolder, Folder, DatasetFolder, UCF101, …)

  • tensorplay.vision.transforms — composable transforms (Compose, ToTensor, Normalize, Resize, CenterCrop, RandomCrop, RandomHorizontalFlip, …)

  • tensorplay.vision.models — reference model architectures (AlexNet, VGG, ResNet variants, …)

  • tensorplay.vision.io — image reading/writing backends

  • tensorplay.vision.ops — vision-specific operators

  • tensorplay.vision.utils — helpers shared across the package

tensorplay.utils.data

tensorplay.utils.data.DataLoader

Upstream anchor labels

Reference pages keep torch docstrings verbatim, and some of them link to anchors that upstream defines in narrative sections this repo does not carry (see docs/README.md, “Deviations”). The labels below satisfy those lin

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