I just want to learn how OpenCV works. And having a portable version would be great.

  • learn how to install SLES on RPi
  • learn how to install OpenCV on SLES
  • learn how to configure a webcam (or two or 3) on SLES
  • train a program to recognize a few objects from different angles

Looking for hackers with the skills:

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This project is part of:

Hack Week 15

Activity

  • over 7 years ago: joadavis liked this project.
  • over 7 years ago: joadavis started this project.
  • almost 8 years ago: mkoutny liked this project.
  • almost 8 years ago: aaronluna75 liked this project.
  • almost 8 years ago: mbrugger liked this project.
  • almost 8 years ago: joadavis originated this project.

  • Comments

    • mbrugger
      almost 8 years ago by mbrugger | Reply

      If you want to do that with RPi3 the installation process should be straight forward doing add to your sd card

    • joadavis
      over 7 years ago by joadavis | Reply

      I got past one or two problems with my SLES 12 install (reusing a MS Windows IOT card required fdisk first, time on Pi3 was way off preventing updates). But now I'm stalled with figuring out how to use a webcam on SLES and how to install openCV (don't see a handy package in YaST).

    • joadavis
      over 7 years ago by joadavis | Reply

      Well, I did get SLES 12 installed, but no prepackaged openCV drove me back to raspbian for a bit just to get that much working. I switched to openSUSE Leap 42.2 which has openCV 3.1, but I had terrible trouble with camera support. Don't know if it was aggravated by XFCE or not (many other programs were crashing out of the box). I could maybe get one frame from a camera in fswebcam, but the next one would fail to get a frame, and openCV often gave timeout errors. I did manage to get some stuff to work in openCV, like Canny edge detection and cascading face detection. I need to finish off the 'Geeko-yourself' app.

    • joadavis
      about 4 years ago by joadavis | Reply

      https://github.com/joadavis/other-fun-projects/blob/master/geeko-ize/geeko-ize.py

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