Hi,

This week you'll learn about Thermal Vision: Night Object Detection with PyTorch and YOLOv5 (real project).

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What do we have on the menu today?

THE BEST dish:

NIGHT OBJECT DETECTOR using PyTorch and YOLOv5 🔥

The big picture: In a world invaded by what we love so much, cameras, and as we anticipate in the first tutorial, thermal cameras are more than present in the industry.

In today's tutorial, you will enjoy a REAL PROJECT!

How it works: We introduce you to an excellent thermal imaging dataset (initially created for Self-Driving Car solutions) to apply Deep Learning.

We use 3 things:

  • Python: our favorite tool as the base of our project
  • PyTorch: the excellent Meta Machine Learning library
  • YOLOv5: a Deep Learning object detector

Our thoughts: You will enjoy this lesson! 😊

Yes, but: Don't be afraid if this is your first experience with Deep Learning: it will be fun, and you have nothing to fear.

If you are an advanced Deep Learner, don't worry, you will learn new things and have fun with this unique experience.

There are no excuses!

Stay smart: You've already stayed smart by investing what's most valuable in your life, your time, to increase your knowledge and skills.

Click here to read the full tutorial

Do You Have an OpenCV Project in Mind?

You can instantly access all of the code for Thermal Vision: Night Object Detection with PyTorch and YOLOv5 (real project) along with courses on TensorFlow, PyTorch, Keras, and OpenCV by joining PyImageSearch University. 

Guaranteed Results: If you haven't accomplished your Computer Vision/Deep Learning goals, let us know within 30 days of purchase and get a full refund.

Discover how to finish your project faster!



Your PyImageSearch Team

P.S. The recording of our most recent Live Stream on Transformers is available online!