Read the statement by Michael Teeuw here.
Facial Recognition - customize your mirror for every user!
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@nuckinfutz
thanks, i do what you saw but i have the same error… -
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I can’t seem to get the module to work properly. I made pictures and generated a training.xml file. When I test said file it does identify me.
However, I can’t find a user array in the training file to add to the config.xml. When I add the only user present it still doesn’t work
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I have managed to make this module to work finally…BUT …
I have one user (since I have just set it up) and it recognises me well etc…but it recognises other people as ME ???
Why ??
Is there something to be done ? -
Anyone able to help me out with this? :)
https://forum.magicmirror.builders/topic/4206/facial-recognition-no-users
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Hello everyone
the class ‘everyone’, which should activate a module for every person, dont work for me. the clock-module for example stay inactive, no matter wich person is detected. The config looks like this:
{
module: “clock”,
position: “top_left”,
classes: “everyone”
},Work this class for anyboby?
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@reaper81 I think you also need to include the class
defaultas the facial recognition app spends most of its time logged out. -
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?
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@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.
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So i repeat my question: does anybody use the “everyone”-class and it work?
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I am struggling to get modules using a name class to work. Still waiting for an answer as well
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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?
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Hi there, maybe someone is able to help me out.
I am trying to run capture.py but getting this ErrorTraceback (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) -
@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 ErrorTraceback (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.
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Are you using OpenCV 3.3? Then i might can help you.
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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 foundany suggestions?
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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?
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@mc_landin I’m at this stage as well! for some reason the classes dont change whats displayed when a new face is seen. So in this example the “default” is seen all the time and then when a generic face is seen then the “everyone” class isnt shown. Has anyone got this working?
{ module: "updatenotification", position: "top_bar", classes: 'default' }, { module: "clock", position: "top_left", classes: 'everyone' }, { module: 'MMM-Facial-Recognition', config: { recognitionAlgorithm: 1, // 1=LBPH | 2=Fisher | 3=Eigen // 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, useUSBCam: true, // force the use of a usb webcam on raspberry pi (on other platforms this is always true automatically) trainingFile: 'modules/MMM-Facial-Recognition-Tools/training.xml', // Path to your training xml interval: 2, // recognition intervall in seconds (smaller number = faster but CPU intens!) logoutDelay: 15, // Logout delay after last recognition so that a user does not get instantly logged out if he turns away from the mirror f$ users: [], // Array with usernames (copy and paste from training script) defaultClass: "default", //Module set used for strangers and if no user is detected everyoneClass: "everyone", //Set of modules which should be shown for every user welcomeMessage: true // Boolean to toggle welcomeMessage } }, -
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Hi All, I have found out that if you want to use your USB webcam for training you can update the file https://github.com/paviro/MMM-Facial-Recognition-Tools/blob/master/lib/config.py in the appropriate directory with the following. for some reason it doesnt seem to want to fall over to the webcam so I just commented out the pi web cam and added the usb one.
def get_camera(preview=True): try: # from . import picam # capture = picam.OpenCVCapture(preview) # capture.start() # return capture from . import webcam return webcam.OpenCVCapture(device_id=0) capture.start() return capture except Exception: from . import webcam return webcam.OpenCVCapture(device_id=0)
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