Modular image processing pipeline using OpenCV and Python generators

Image by Free-Photos from Pixabay

In this blog story, you will learn how to implement a simple and modular pipeline for image processing. We will use OpenCV for image processing and manipulation and Python generators for the steps of the pipeline.

An image processing pipeline is a set of tasks executed in a predefined sequence order to transform the image into the desired result or extract some interesting features.

Task examples could be:

• image transformations like translation, rotation, resizing, flipping and cropping,
• enhancement of the image,
• extraction of the region of interest (ROI),
• computing feature descriptors,
• image or object classification,
• object detection,
• image annotations for machine learning,

and many more.

The final result could be a new image or just a JSON file containing some information about the image.

Let’s assume that you have a load of images in a directory and want to detect faces on them and write each face to a…