Facial Recognition - customize your mirror for every user!

KirAsh4

Oh cool, special effects courtesy the PIR sensor … love it. :)

Maybe @paviro should set a delay before activating the sensor reading. I assume that’s wha tit does, like I said, I don’t have a PIR sensor to play with … figured there are enough folks out there doing that already. :)

Wilco89

don’t even got to the MM, after the automatic stat of MM the screen is just white :P

But when @paviro has some time he will defintly look into it.

oder ist das schwierig @paviro ?

KirAsh4

Yeah, I don’t know that module, or where it’s actually failing. But I can imagine if MM is initializing and the sensor is also doing something, things can go wrong. That’s why I suggested a delay.

The touch sensor I’m playing with has a built-in 4 seconds delay before it becomes active, then it spends 5 to (no more than) 10 seconds calibrating itself. So plenty of time for MM to start up completely before the sensor starts “talking” to the rpi.

paviro

@Wilco89 No will do but I have so much stuff on my hand at the moment… Moving to Berlin in August etc…

Wilco89

@paviro wir warten noch ein Moment. Viel Spaß im Berlin.

I hope everything is going well with the move to Berlin. So everybody will be happy in a few weeks.

xdker

why？

^CTraceback (most recent call last):
  File "capture.py", line 35, in <module>
    capture.capture()
  File "/home/pi/MagicMirror/MMM-Facial-Recognition-Tools/facetrainer/lib/capture.py", line 53, in capture
    if is_letter_input('c'):
  File "/home/pi/MagicMirror/MMM-Facial-Recognition-Tools/facetrainer/lib/capture.py", line 23, in is_letter_input
    input_char = raw_input()
KeyboardInterrupt

Note from admin: Please use Markdown on shell snippets!

xdker

This post is deleted!

paviro

Looks like you terminated the process by pressing ctrl-C or strg-C, just press c and then enter and no other key with the c.

xdker

@paviro
Oh sorry, I’m sorry I didn’t notice.
But there are the following tips.
where is capture.pgm not in the name of the folder.

Could not detect single face!  Check the image in capture.pgm to see what was captured and try again with only one face visible.

plumcraft

Hi everyone,

I have the same issue.

What do you want to do?
[1] Capture training images from webcam
[2] Convert ‘*.jpg’ pictures from other cameras to training images
–> 1

Enter the name of the person you want to capture or convert images for.
–> olifier
Images will be placed in ./training_data/olifier

Starting process…

Capturing positive training images.
Type c (and press enter) to capture an image.
Press Ctrl-C to quit.

c
Capturing image…
Could not detect single face! Check the image in capture.pgm to see what was captured and try again with only one face visible.

Thanks a lot