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Free module

Computer vision

Learn computer vision hands on: pixels, grey levels, thresholds, blur filters, edge detection and counting objects in Python.

6 lessons350 min lessonAI and data science

The lessons

Each lesson is free to read in full. Create a free account to run its commands in a live lab and to sit its quizzes and tasks.

  1. 1 · Container lab

    Pixels and image arrays

    I can read a picture as an array of numbers and find a pixel by its row and column.

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  2. 2 · Container lab

    Convert colour to grey

    I can turn a colour picture into grey using luminance weights.

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  3. 3 · Container lab

    Thresholds and histograms

    I can use a histogram to choose a threshold that separates objects from the background.

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  4. 4 · Container lab

    Image filters and blur

    I can smooth noise in a picture with a blur or a median filter.

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  5. 5 · Container lab

    Edge detection basics

    I can find the edges in a picture by measuring how fast the grey level changes.

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  6. 6 · Container lab

    Counting objects in an image

    I can count and locate the objects in a picture by labelling its connected regions.

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Worked in a real lab

Every lesson of this module is worked in a lab started for you alone. The labs it uses:

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