@SdeGeata
Sorry to hear that you have some issue to install OpenCV. Which Hardware do you have? On my Raspi 3+ it works fine, first run and all compiled.

Whats really important is that you extend your Swap, otherwise you will have some issues like you described.

Did you go through this documentation? https://www.pyimagesearch.com/2018/09/26/install-opencv-4-on-your-raspberry-pi/

sudo nano /etc/dphys-swapfile

# set size to absolute value, leaving empty (default) then uses computed value
#   you most likely don't want this, unless you have an special disk situation
# CONF_SWAPSIZE=100
CONF_SWAPSIZE=2048

sudo /etc/init.d/dphys-swapfile stop
sudo /etc/init.d/dphys-swapfile start

Note: Increasing swap size is a great way to burn out your Raspberry Pi microSD card. Flash-based storage have limited number of writes you can perform until the card is essentially unable to hold the 1’s and 0’s anymore. We’ll only be enabling large swap for a short period of time, so it’s not a big deal.

@HayyatAli

Software:
Here you will find a good installation guide.

Hardware:
I would suggest that you use a Raspberry Pi 3 or 4. (4 was just released, so maybe not in stock everywhere). And then you need a Display and a Mirror (2 Way Mirror / Spy Mirror). And finally build a frame where you can all put togheter.

Checkout the Forum and you will find a lot examples.
https://forum.magicmirror.builders/category/12/show-your-mirror

Thats mine :)
https://forum.magicmirror.builders/topic/10567/my-old-wood-mirror?page=1

@SdeGeata
Hi,
Now it’s finally done and tested on my own Magic Mirror with the PiCamera. Let me know if you have any issues and need some help.

Module are now Final and tested on real MagicMirror

@toexelchen
Hi Carsten. You can also use my module :)

https://forum.magicmirror.builders/topic/10674/mmm-face-reco-dnn-all-new-face-recognition

@thedoorsfanatic
Genau 👍

@thedoorsfanatic

Die Änderung am Modul wurden akzeptiert und sind in der neuen Version drin.

https://github.com/mrVragec/MMM-mvgmunich/pull/26

Hi all

Because our “old” MMM-Facial-Recognition-OCV3 module is not working fine for me and is some days old i decided to create a new module with OpenCV 4.1 and Deep Neural Network to recognize faces. Thanks to normyx for this great module and inspiration for my own new one.

Over all it is compatible with the module from normyx, you can use it over the same classes as he used. The training of the images are a little bit different but much easier as his version (for my point of view).

To be honest the development status are still beta, i finished the module yesterday evening and tested it on my macbook and not yet on my mirror. But this tests on my local machine was successfully.

So if you want try it out and let me know what you think about and what i can extend / change or whatever.

Happy to hear your experiences with the module and how it works with your mirror.

Please read carefully the readme of the module, i hope i don’t forget something, otherwise, also please let me know and i can change it or extend it. Happy to help where i can.

If you find a bug, so let me know with a ticket on GitHub or feel free to do a Pull Request, i will check it as fast as i can.

[card:nischi/MMM-Face-Reco-DNN]

Thanks for your Feedback.

@sdetweil oh i only read the error, my fault, sorry.

sh is a command which is runing on unix systems (such as macos, linux) do you try that on a windows machine?

@SdeGeata
Cool that it works. I’m nearly done with my new module now. Will inform you if you can try out. And the good thing. The classes config from your old module will be compatible.

I saw it as well. Need to check my new Face Reco Module with the new Pi, maybe it’s worth to change.

n3226 Weinfelden, Switzerland

@thedoorsfanatic

Bin froh wenn ich dir helfen konnte. 👍

@SdeGeata
I am currently working on a new version of face recognition with another method and the new ocv 4 version. Current tests works much better than this old module. i only need to finish the module soon. i think this or next week i should have a first version which works.

@thedoorsfanatic
Ich glaube ich habe den Fehler gefunden:
https://github.com/mrVragec/MMM-mvgmunich/pull/26

Ich habe das beim Modul angepasst, eventuell nimmt es der Entwickler ja dann in eine neue Version. Aber wenn du das einfach bei dir korrigieren willst musst du eine Datei anpassen (Zeile löschen).

Lösche einfach das console.log in der Datei mvgmunich.js wie hier:
https://github.com/mrVragec/MMM-mvgmunich/pull/26/files#diff-854ac3b937be8e5d18df1230031cf3ecL201

@SdeGeata
Do you working with a mac? Maybe you have some issues with the permissioning, have you tried (only for testing) to give all folders full access? i had some issue also if i used sudo for some stuff where i shoudn’t.

@thedoorsfanatic
Ich habe zwei drei ideen an was es liegen könnte, muss das zuhause mal kurz testen.

@thedoorsfanatic
Was genau meinst du mit es geht nicht? Wird gar nichts angezeigt?

@SdeGeata
It seems he can’t resize the image for some reason. Have you checked all your pictures that nothing is corrupt and have you checked that your python has access to the files as well?