General Information

Objective: Study of the main computer vision methods and their applications.

Syllabus: Image processing, classification, object detection, segmentation, tracking, embedded applications.

Duration: 60 hours (17 weeks).

Time: Tuesdays (17:50 - 20:20) - at CB301.

Grade: Assignments (100%).

TinyML: Combined use of Raspberry Pi 4 (including camera module rev 1.3 - link) with Edge Impulse (link).

Lecturer: André Eugenio Lazzaretti.

Preliminary Content

Python Basics:

• General overview: link (Part II - L03 and L04);

  • Similar material in portuguese: link.

Track on Signals, Images, and Patterns: link.

Week 2 - 14/03

(Theory) Lecture 2 - Image processing review

• Slides (link).

Week 4 - 28/03

(Theory) Lecture 4 - Image Classification

• Slides (link).

Week 6 - 11/04

(Practical) Lecture 6 - Image Classification pt2

• Tutorial (link).

Week 8 - 25/04

(Practical) Assingment presentation - final dates!

Week 10 - 09/05

(Practical) Lecture 9 - Convolutional Neural Networks pt1

• Tutorial (link).

Week 12 - 23/05

(Theory) Lecture 11 - Object Detection

• Slides (link).

Week 17 - 27/06

(Practical) Presentation of the Final Project.