Introduction to computer vision and OpenCV
Simple Manipulator Control library: https://gitlab.control.lth.se/marko-g/ur_s...
tutorials text notes: https://gitlab.control.lth.se/marko-g/LPR-...
Content:
openCV
#### hello world equivalent
open up the laptop camera: ~/programs/camera_no_lag.py , show /dev/video0
much more at [opencv documentation](https://docs.opencv.org/4.x/index.html)
show some basic transformations like grascale, ~/programs/camera_no_lag.py
open up ip_webcam, and open then open it in opencv
#### classic cv example
show classic object detection example in action ~/chalmers/HUMRO/HUMROgroup5/classic_cv_test
it's black magic
but it also landed challanger on Mars
much more at [opencv documentation](https://docs.opencv.org/4.x/index.html)
#### deep learning
objectively the best
there's many out of the box solutions out there
if you want to train on your data, start with a pre-trained model
show yolo-v4 in action HUMRO project
mention [yolo-v11](https://docs.ultralytics.com/)
Timestamps:
2:27 hello world equivalent in opencv
7:39 opening phone camera stream in opencv
13:00 classic computer vision example
17:39 example deep learning stack with opencv
22:53 ready-made deep learning-based computer vision solutions out there