Computer Vision From Zero

The path, part by part

Read them in order. Every article links to the previous and the next part.

1. 1

   What Computer Vision Is and Where You Already Use It

   A plain-language introduction to computer vision: what it actually means for a computer to 'see', the pipeline behind most vision systems, and the everyday …

   Part 1 of 5 · 15 min read

2. 2

   How a Camera Makes an Image: Lenses, Sensors and Pixels

   Before OpenCV ever touches a photo, light has already been bent by a lens, counted by a sensor and rounded into numbers. This article …

   Part 2 of 5 · 20 min read

3. 3

   Colour Spaces: RGB, HSV and Greyscale

   A pixel is just three numbers until you decide what they mean. This part explains RGB, greyscale and HSV from first principles, including the …

   Part 3 of 5 · 15 min read

4. 4

   Getting Started With OpenCV: Reading, Showing and Saving Images

   Learn how OpenCV represents pictures as NumPy arrays, and master the three basic moves every computer vision script starts with: reading an image, showing …

   Part 4 of 5 · 18 min read

5. 5

   Filters and Blurs: Cleaning Up an Image

   Learn how image filters work by sliding a small grid of numbers over every pixel, and see how box, Gaussian, median and bilateral blurs …

   Part 5 of 5 · 21 min read