EDGE
General information
This subject will cover concepts related to edge computing. On the one hand, the new processing paradigm close to its generation will be presented, and on the other, the Jetson-Nano development board will be experimented with these concepts. These board allows not only processing information with an internal accelerator as GPU but also transfered it through the Internet.
Subject program and evaluation methodology
Work groups (for regular lab assignments)
Here you can find the current work groups
Professors
Luis Piñuel Moreno (lpinuel@ucm.es) and Carlos García Sánchez (garsanca@ucm.es)
Quizzes
For all quizzes will you are requested to use your e-mail address as name. All of them can be accessed directly from this link
Schedule
Day | Topic | Lab instructions | Deliverable | Professor |
---|---|---|---|---|
19/4 | Introduction Edge-Computing | Week1 | C. García | |
20/4 | Setup Jetson-Nano | Installation | C. García | |
21/4 | Intro Inference Hw | L. Piñuel | ||
26/4 | Artificial Inteligence | C. García | ||
27/4 | Setup Raspberry-Pi camera | Setup | C. García | |
28/4 | Inference Hw | L. Piñuel | ||
3/5 | Containers | Setup | C. García | |
4/5 | Containers ML | SetupML | Tasks | C. García |
5/5 | Video-presentation (Hw inference) | C. García | ||
10/5 | OpenCV with Jetson | Notebooks BO | QUIZ Lab1 | C. García |
11/5 | OpenCV with Jetson | python examples | C. García | |
12/5 | OpenCV with Jetson | Notebooks IP | C. García | |
17/5 | OpenCV with Jetson | C. García | ||
18/5 | OpenCV with Jetson | C. García | ||
19/5 | OpenCV with Jetson | Tasks | C. García | |
24/5 | Inference Image Classifying | Models for Image Classification | QUIZ Lab2 | C. García |
25/5 | Own Image Recognition | Cat_Dog Dataset | C. García | |
26/5 | Own Image Recognition | IoT Mask | C. García | |
31/5 | Object Detection | Models | QUIZ Lab3 | C. García |
1/5 | Own object Detection | C. García | ||
2/5 | Build a IoT app | QUIZ Lab4 | C. García |