30

Check-in, gather expectations and existing knowledge

30

Explain pibs architecture (Docker, ROS, Flask, Angular, REST)

30

create venv, pip, first programs

30

control structures (for, while) with examples

​@Mazen Mohsen​ Can you create a list of instructive examples together with their solutions?

30

install opencv and show live-image from camera

• how do I select the camera in opencv? On laptops, it should be the laptop-camera, otherwise the luxonis

• what exactly has to be installed in the venv?

• ​@Mazen Mohsen​ need standalone-example for that

30

go thorugh opencv presentation

30

apply different opencv filters and examples to video

​@Mazen Mohsen​ need examples

lunch-break

120

explaining neural networks

mnist-example, detect handwriting, classification of numbers

​https://medium.com/@ombaval/building-a-simple-neural-network-from-scratch-for-mnist-digit-recognition-without-using-7005a7733418

30

install depthai, test different models, get familiar with the camera

30

wrap-up

30

check-in

60

Object-detection etc. on camera with depthai

Using dice-script, try different luxonis models

30

TRYB: how to create a custom object detection

ToDo: ROS, Docker

cerebra, blockly? Maybe create own blocks

30

check-in

60

explain tinkerforge, install libraries, brickv, brickd, show how to get values for sensors (temperature/weights/…), control LED-Buttons

30

vibe coding with aider

60

brainstorming possible projects for students

30

check-out