How can you integrate PyTorch s torchvision transforms for augmenting generative model training data

Question

Can you explain, with the help of programming, how you can integrate PyTorch’s torchvision? Transforms for augmenting generative model training data?

Answer 1

You can integrate torchvision.transforms for augmenting training data by applying transformations like cropping, flipping, or color adjustments to input images. 

Here is the code snippet you can refer to:

In the above code, we are using the following key components:

• transforms.Compose: Chains multiple augmentations.
• Transform Operations: Apply spatial (e.g., RandomRotation) and color-based (e.g., ColorJitter) augmentations.
• ToTensor: Converts augmented PIL images to tensors for model training.\

Hence, by referring to the above,  you can integrate PyTorch s torchvision transforms for augmenting generative model training data