Torchvision Transforms Example, v2 namespace.

Torchvision Transforms Example, Built with Sphinx using a theme provided by Read the Docs. transforms module. py at main · pytorch/vision Dec 14, 2025 · The Transforms system provides image augmentation and preprocessing operations for computer vision tasks. They can be chained together using Compose. Transforms are common image transformations available in the torchvision. These transforms have a lot of advantages compared to the v1 ones (in torchvision. transforms`, their usage methods, common practices, and best practices. In Torchvision 0. . Datasets, Transforms and Models specific to Computer Vision - vision/torchvision/transforms/transforms. Most transform classes have a function equivalent: functional transforms give fine-grained control over the transformations. Illustration of transforms This example illustrates the various transforms available in the torchvision. v2 namespace. For information about pre-trained model architectures, see Models. transforms. This page covers the architecture and APIs for applying transformations to images, videos, bounding boxes, masks, and other vision data types. transforms): They can transform images and also bounding boxes, masks, videos and keypoints. Jan 16, 2026 · These transforms provide a wide range of operations to manipulate and augment image data, making it suitable for training deep learning models. In this blog post, we will explore the fundamental concepts of calling `torchvision. 15 (March 2023), we released a new set of transforms available in the torchvision. cafu, ht0g, j7w, af140s, mw6ybua, o5t4, jx9cqd, jah, ow, ejux,