OpenCV
Image processing and computer vision.
OpenCV is taught here in 3 lessons, running from Reading, writing and inspecting images through to Contours and object detection basics. Each lesson takes one topic, shows the working code, and links onward to the next, so the course can be read straight through in order.
| Track | AI & Intelligent Development |
| Lessons | 3 |
| Level | Beginner |
| Reading time | about 39 minutes |
| Prerequisites | Helpful, but not required: Ollama |
Lessons
- Reading, writing and inspecting imagesLoad an image into a NumPy array, understand its shape and colour order, crop regions, and save results without losing data.
- Filters and edge detectionBlur to remove noise, compute gradients, and choose Canny thresholds that hold up outside the demo image.
- Contours and object detection basicsFind and filter shapes with contours, then use a trained model when a threshold is not enough - and know where the line is.
More in AI & Intelligent Development
AI Basics AI Agents Math for AI Machine Learning scikit-learn TensorFlow PyTorch Natural Language Processing LangChain Ollama Codex Claude Code OpenCode Vibe Coding Selenium Playwright
FAQ
How long does the OpenCV course take?
It has 3 lessons, about 39 minutes of reading. Expect roughly twice that if you type out and run every example.
Do I need prior experience for OpenCV?
Not strictly. It helps to have read Ollama first, because some lessons build on it, but every lesson explains its own assumptions.
What should I read after OpenCV?
Continue with Codex (3 lessons), the next course in AI & Intelligent Development.
Last refreshed 2026-09-18.