How do I implement custom augmentation techniques for image generation

Question

With the help of code, can you tell me how I implement custom augmentation techniques for image generation?

Answer 1

To implement custom augmentation techniques for image generation, define a custom transformation function and use libraries like PyTorch or TensorFlow for application during data preprocessing or training.

Here is the code reference you can refer to:

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

• Custom Transformation: CustomAugmentation applies color jitter and adds random noise to images.
• Integration: Combine custom and predefined augmentations using transforms Compose.
• Data Loader: Use the augmented dataset in training for better generalization and variability.

Hence, by referring to the above, you can implement custom augmentation techniques for image generation.