2025-02-11 Computer Vision with Python: basics with numpy and scikit-image

Learn the basic tools to handle image in Python and apply classical image processing methods to them.

Reiter

Computer Vision with Python: basics with numpy and scikit-image
You already know basics of Python programming and would like to know how to perform computer vision tasks in Python? In this first course of a series of three, you will learn the basic tools that will allow you to handle images in Python. Mainly you will learn how to handle images as lists of numbers in Numpy, how to visualize them with Matplotlib and finally how to do basics image processing using the scikit-image library.
Course Objectives
  • Learn basics of Numpy to handle images
  • Learn how to use the scikit-image library
Target group
  • Students and Staff of UniBe.
Prerequisites
  • Participants must bring own laptops
  • Participants should have a version of conda (anaconda, miniconda, miniforge etc.) installed
  • Participants should be familiar but not experts with Python. No specific software development knowledge is necessary
Methods
The course is interactive with live demonstrations followed by hands-on sessions where participants get to apply what they just learned.
Certificate
  • A certificate will be delivered to participants who have attended the whole training.
Coaches
  • Guillaume Witz is a Data scientist and software engineer in bio-imaging at University of Bern.
Time : 2025-02-11  09:00-17:00
Location : Room 124, Mittelstrasse 43
Online Participation: Possible to attend on Zoom upon request
Training language: English
Participants : Max 25
Registraion : Mandatory
The Data Science Lab is there to boost your research by supporting you solving computing challenges. 
https://www.dsl.unibe.ch/