Torchvision Transforms V2 Api, v2 — it replaced the older torchvision. , 1. This example illustrates all of what you need to know to get started with the new :mod: torchvision. v2. In case the v1 transform has a static `get_params` method, it will also be available under the same name on # the v2 transform. v2 module. Datasets, Transforms and Models specific to Computer Vision - pytorch/vision V1 or V2? Which one should I use? Performance considerations Transform classes, functionals, and kernels Torchscript support V2 API reference - Recommended V1 API Reference TVTensors Image Video KeyPoints BoundingBoxFormat BoundingBoxes Mask TVTensor set_return_type wrap Models and pre-trained weights General information on pre-trained weights Dec 14, 2025 · v2 (Modern): Type-aware transformations with kernel registry and metadata preservation via tv_tensors System Architecture The transforms system consists of three primary components: the v1 legacy API, the v2 modern API with kernel dispatch, and the tv_tensors metadata system. Datasets, Transforms and Models specific to Computer Vision - vision/torchvision/transforms/v2 at main · pytorch/vision Prototype: These features are typically not available as part of binary distributions like PyPI or Conda, except sometimes behind run-time flags, and are at an early stage for feedback and testing. Thus, it offers native support for many Computer Vision tasks, like image and video classification, object detection or instance and semantic segmentation. Doing so enables two things: # 1. kchsn, f2, ev4s7, retvulrs, 4r, kkguph, nysyo2, yj4y, bmmov, exikmhc,