Process Images Using the Pillow Library and Python

When you look at an image, you see the objects and people in it. However, when you read an image programmatically with Python or any other language, the computer sees an array of numbers. In this video course, you’ll learn how to manipulate images and perform basic image processing using the Python Pillow library.

Pillow and its predecessor, PIL, are the original Python libraries for dealing with images. Even though there are other Python libraries for image processing, Pillow remains an important tool for understanding and dealing with images.

To manipulate and process images, Pillow provides tools that are similar to ones found in image processing software such as Photoshop. Some of the more modern Python image processing libraries are built on top of Pillow and often provide more advanced functionality.

In this video course, you’ll learn how to:

  • Read images with Pillow
  • Perform basic image manipulation operations
  • Use Pillow for image processing
  • Use NumPy with Pillow for further processing
  • Create animations using Pillow

In this video course, you’ll get an overview of what you can achieve with the Python Pillow library through some of its most common methods. Once you gain confidence using these methods, then you can use Pillow’s documentation to explore the rest of the methods in the library. If you’ve never worked with images in Python before, this is a great opportunity to jump right in!


[ Improve Your Python With 🐍 Python Tricks 💌 – Get a short & sweet Python Trick delivered to your inbox every couple of days. >> Click here to learn more and see examples ]

Related Articles

Open Source Databases

We had a very fun and engaging chat with Matt Yonkovit who is the Chief Experience Officer at Percona, a service provider for open source databases like MySQL, PostgreSQL, MariaDB, and RocksDB. Matt has worked as a database architect for 10 years before transitioning into consulting roles at both MySQL and Sun Microsystems. In total, he’s been working with databases and open source for nearly 25 years.

PyMC Open Source Development

In this episode of Open Source Directions, we were joined by Thomas Wiecki once again who talked about the work being done with PyMC. PyMC3 is a Python package for Bayesian statistical modeling and Probabilistic Machine Learning focusing on advanced Markov chain Monte Carlo (MCMC) and variational inference (VI) algorithms. Its flexibility and extensibility make it applicable to a large suite of problems.

CycleGAN: Unpaired Image-to-Image Translation (Part 3)

Table of Contents CycleGAN: Unpaired Image-to-Image Translation (Part 3) Configuring Your Development Environment Need Help Configuring Your Development Environment? Project Structure Implementing CycleGAN Training Implementing Training Callback Implementing Data Pipeline and Model Training Perform Image-to-Image Translation Summary Citation Information CycleGAN:…
The post CycleGAN: Unpaired Image-to-Image Translation (Part 3) appeared first on PyImageSearch.

Responses

Your email address will not be published. Required fields are marked *