The current era of image preprocessing
In the era of advanced visual models, such as diffusion models, and models such as OpenAI’s CLIP, preprocessing has become crucial to ensure the quality, consistency, and suitability of images for training and inference. These models require images to be in a format that maximizes their ability to learn intricate patterns and generate high-quality results. In this section, we will go through all the preprocessing steps to make your images ready for the subsequent tasks.
Across this section, we will use a common use case, which is to prepare images for training a diffusion model. You can find the code for this exercise in the GitHub repository: https://github.com/PacktPublishing/Python-Data-Cleaning-and-Preparation-Best-Practices/blob/main/chapter13/1.image_prerpocessing.py.
Let’s start by loading some images.
Loading the images
Perform the following steps to load the images:
- First, we load the required packages...
