Facial Recognition - customize your mirror for every user!

reaper81

@j.e.f.f

the default-class works fine but i whould like to show modules only if a person is in the room. thats why the class “everyone” exist. Do you use it? does it work?

j.e.f.f

@reaper81 yeah in that case it should work for what you’re trying to do. If it isn’t then I don’t know why.

You could also try using a motion sensor to turn the screen on and off. Essentially when someone walks up to the screen it shows modules, and after a specified time out of no motion sensed, if turns itself back off.

reaper81

So i repeat my question: does anybody use the “everyone”-class and it work?

mc_landin

I am struggling to get modules using a name class to work. Still waiting for an answer as well

JavierTSalas

Hey guys. I’m having difficulty using my webcam with the capture.py script. I’m able to use fswebcame and motion to capture video but I keep getting errors running the script. I’m using a the playstion eye as a webcam. Any ideas?

salamures

Hi there, maybe someone is able to help me out.
I am trying to run capture.py but getting this Error

Traceback (most recent call last):
   File "capture.py", line 18, in 
      import lib.capture as capture
   File "/home/pi/MagicMirror/modules/MMM-Facial-Recognition-Tools/lib/capture.py", line 21, in 
     from . import config
   File "/home/pi/MagicMirror/modules/MMM-Facial-Recognition-Tools/lib/config.py", line 15, in 
     (CV_MAJOR_VER, CV_MINOR_VER, mv1, mv2) = cv2.__version__.split(".")
ValueError: not enough values to unpack (expected 4, got 3)

avinash

@salamures said in Facial Recognition - customize your mirror for every user!:

Hi there, maybe someone is able to help me out.
I am trying to run capture.py but getting this Error

Traceback (most recent call last):
   File "capture.py", line 18, in 
      import lib.capture as capture
   File "/home/pi/MagicMirror/modules/MMM-Facial-Recognition-Tools/lib/capture.py", line 21, in 
     from . import config
   File "/home/pi/MagicMirror/modules/MMM-Facial-Recognition-Tools/lib/config.py", line 15, in 
     (CV_MAJOR_VER, CV_MINOR_VER, mv1, mv2) = cv2.__version__.split(".")
ValueError: not enough values to unpack (expected 4, got 3)

I am also facing the same issue. Any effort to resolve it will be appreciated.

salamures

Are you using OpenCV 3.3? Then i might can help you.

salamures

Got another problem. My picam is not able to open. I am using opencv 3.3.

Remember to set the name list environment variable FACE_USERS
Using default FACE_ALGORITM: 1
Traceback (most recent call last):
File "facerecognition.py", line 30, in 
camera = config.get_camera(preview)
File "/home/pi/MagicMirror/modules/MMM-Facial-Recognition-Tools/lib/config.py", line 101, in get_camera
return webcam.OpenCVCapture(device_id=0)
File "/home/pi/MagicMirror/modules/MMM-Facial-Recognition-Tools/lib/webcam.py", line 29, in __init__
self._camera.open()
TypeError: Required argument 'device' (pos 1) not found

any suggestions?

PrivatVoidMarmot

Hello!

I have an problem wirth the Facial Regonition Module. I have tried it with the PiCam and an normal webcam. It worked not really good with die webcam and after i’ve tried it with die PiCam it doesn’t work any more. I’ve updatet the config.js.

This is the npm output:

config.js:

On the mirror nothing is shown. {
			module: 'MMM-Facial-Recognition',
			config: {
				// 1=LBPH | 2=Fisher | 3=Eigen
				recognitionAlgorithm: 1,
				// Threshold for the confidence of a recognized face before it's considered a
				// positive match.  Confidence values below this threshold will be considered
				// a positive match because the lower the confidence value, or distance, the
				// more confident the algorithm is that the face was correctly detected.
				lbphThreshold: 50,
				fisherThreshold: 250,
				eigenThreshold: 3000,
				// force the use of a usb webcam on raspberry pi (on other platforms this is always true automatically)
				useUSBCam: true,
				// Path to your training xml
				trainingFile: 'modules/MMM-Facial-Recognition-Tools/training.xml',
				// recognition intervall in seconds (smaller number = faster but CPU intens!)
				interval: 1,
				// Logout delay after last recognition so that a user does not get instantly logged out if he turns away from the mirror for a few seconds
				logoutDelay: 15,
				// Array with usernames (copy and paste from training script)
				users: ['Jenny'],
				//Module set used for strangers and if no user is detected
				defaultClass: "default",
				//Set of modules which should be shown for every user
				everyoneClass: "everyone",
				// Boolean to toggle welcomeMessage
				welcomeMessage: true
			}

Any suggestions?