The Computer Vision Journey:
Master Intermediate Computer Vision Skills

If you've already worked with OpenCV, know how to resize an image, and apply all the basics of Computer Vision... you're way passed Level 1!

At Think Autonomous, we provide intermediate to advanced courses on Computer Vision. So let's have a look:

The Computer Vision Sequence is made of 3 main themes:

  • Advanced Deep Learning
  • 3D Computer Vision
  • Optical Flow & Video Processing

Whether it's understanding how to transition from OpenCV to Deep Learning with Transformers, or how to use camera parameters and 3D geometry, or how to process batches of images, each of these themes represent a blocking point in the growth of a Computer Vision Engineer.

So let's see how to address them:

3D Computer Vision


In this course, you'll learn how to build Pseudo-LiDARs and 3D Computer Vision systems that find the 3D positions of obstacles.

DLC: 3D Reconstruction

A secret Exploration of the world of 3D Reconstruction.

* This DLC is very advanced and therefore only available to students of the stereo vision course.

The OAK-D Playbook

Learn to build rapid Computer Vision prototypes with the OAK-D Camera.

Video Processing

Course 3 — Optical Flow

In this course, you'll learn to build Flow Maps, analyze pixel motions across several frames, and process Videos using Deep Learning.

Completed this journey? Explore other cutting-edge journeys

Tracking Journey
Computer Vision Journey (you are here)

Next Up — A sneak peek inside the Neural Optimization Journey...