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Torchvision Transforms Example. RandomAffine(degrees, translate=None, scale=None, shear=None, interpol

RandomAffine(degrees, translate=None, scale=None, shear=None, interpolation=InterpolationMode. If the image is torch Tensor, it is Jan 9, 2026 · PyTorch Foundation is the deep learning community home for the open source PyTorch framework and ecosystem. The Resize transform (see also resize()) resizes an image. . For reproducible transformations across calls, you may use functional transforms. These transforms have a lot of advantages compared to the v1 ones (in torchvision. transforms), it will still work with the V2 transforms without any change! We will illustrate this more completely below with a typical detection case, where our samples are just images, bounding boxes and labels: Illustration of transforms Note Try on Colab or go to the end to download the full example code. g, transforms. It was first described in EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks. Jan 9, 2026 · PyTorch Foundation is the deep learning community home for the open source PyTorch framework and ecosystem.

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