Computer vision in the new era of Artificial Intelligence and Deep Learning

Visión por computador en la nueva era de la Inteligencia Artificial y el Deep Learning

This repository contains a collection of Jupyter Notebooks as well as other resources (e.g. presentations, links, ...) that are going to be used during the "Second quarter university extension course" that the University of Oviedo is going to teach (online). For more information about this course, you can check the following URL

Work in progress :construction:

Objectives

:heavy_check_mark: To know the current context of computer vision in the new era of artificial intelligence and Deep Learning

:heavy_check_mark: To know the main tools and strategies for problem solving using different data sources

:heavy_check_mark: Knowing how to handle computer tools and specific software for digital image processing

:heavy_check_mark: Understanding how basic digital image processing and analysis methods and techniques work

Content

:heavy_check_mark: Introduction to OpenCV and Python

:heavy_check_mark: Basic image treatment

:heavy_check_mark: Image processing

:heavy_check_mark: Machine learning (Scikit-learn)

:heavy_check_mark:Deep learning (Tensorflow, Keras, PyTorch)

The target audience is broad and includes

• People who have experience in computer science (maybe to graduate level) but who do not know about OpenCV
• People who are studying other subjects and want to play with computer vision

Introduction

Presentation

Notebooks

Colab utilities and tricks for computer vision

Lesson	Estimated time needed	Source Code	Colab	Presentation
Colaboratory introduction	10 min	Open	Open	Presentation
Collection of features, utilities and tricks on Colab and/or Python	30 min	Open	Open	Presentation
Take image from webcam as numpy array in Colab	30 min	Open	Open	Presentation
Take video from webcam in Colab	30 min	Open	Open

Introduction to Python and NumPy

Lesson	Estimated time needed	Source Code	Colab	Presentation
Introduction to Python	30 min	Open	Open	Presentation
Introduction to Numpy	30 min	Open	Open	Presentation

OpenCV notebooks for computer vision

OpenCV basics

Lesson	Estimated time needed	Source Code	Colab	Presentation
Basic image treatment (color and grayscale images) in OpenCV	30 min	Open	Open	Presentation
BGR color format in OpenCV	30 min	Open	Open	Presentation
Drawing basic figures (points, lines, poligonal curves,...) in OpenCV	30 min	Open	Open	Presentation
Drawing text and symbols in OpenCV	10 min	Open	Open

Image processing with OpenCV

Lesson	Estimated time needed	Source Code	Colab	Presentation
Geometric image transformations in OpenCV	15 min	Open	Open	Presentation
OpenCV sliders for image processing	20 min	Open	Open	Presentation
Visual interfaces (with buttons and sliders) for image processing with OpenCV	20 min	Open	Open	Presentation
Computational photography module in OpenCV	20 min	Open