Read the statement by Michael Teeuw here.
Facial Recognition - customize your mirror for every user!
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@YourhighnessLeender You spelled your name as Johannes in the training file and in config.js you spelled it johannes. config.js is a lower case J.
Been there done that. lol…
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@nuckinfutz behelper beat me to it.
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Hi guys,
I have the same problem, tried with picam and normal webcam too.
Capture working, train working, facerecognition_tester working, MMM-Facial-Recognition doesn’t work.Anyone sitting in front of the mirror, I get the message in terminal “User undefined with confidence null logged in”
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@YourhighnessLeender Webcam is fine. If it worked in training it will work in the module.
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@nuckinfutz that is whats so strange. It does work in training but not in the module. Did a new install of the module and new training.xml but no luck. Very very wierd.
Maybe I should buy a picam and try with that.
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@benkej question: did you change any of the capture settings in config.js? Like threshold etc? I was thinking of trying a different algorithm, did you try that?
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@YourhighnessLeender only for trial but I changed everything back to the default. I’m using raspberry pi 3 model b, here is part of my config:
{ 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/training.xml', // recognition intervall in seconds (smaller number = faster but CPU intens!) interval: 3, // 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: ["Jani"], //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" } }
and part of console log:
[MMM-Facial-Recognition] Facerecognition started... [MMM-Facial-Recognition] Loading training data... [MMM-Facial-Recognition] ALGORITHM: LBPH [MMM-Facial-Recognition] Training data loaded! [MMM-Facial-Recognition] -------------------- [MMM-Facial-Recognition] Webcam ausgewählt... [MMM-Facial-Recognition] User undefined with confidence null logged in. [MMM-Facial-Recognition] User undefined logged out. [MMM-Facial-Recognition] User undefined with confidence null logged in. [MMM-Facial-Recognition] User undefined logged out. [MMM-Facial-Recognition] User undefined with confidence null logged in. [MMM-Facial-Recognition] User undefined logged out. ^C[MMM-Facial-Recognition] Shutdown: Cleaning up camera... [MMM-Facial-Recognition] Terminating..
@YourhighnessLeender and the output of train.py:
Which algorithm do you want to use? [1] LBPHF (recommended) [2] Fisherfaces [3] Eigenfaces --> 1 Reading training images... -------------------- Assign label 1 to Jani -------------------- Read 3 positive images and 400 negative images. 3 images from subject Jani -------------------- Training model... Training data saved to training.xml Please add or update (if you added new people not just new images) ['Jani'] inside config.js (mirror module) or config.py (model tester). You can change the names to whatever you want, just keep the same order and you'll be fine. Please add 1 as your choosen algorithm inside config.js (mirror module) or config.py (model tester).
Note from admin: Please use Markdown on code snippets for easier reading!
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@benkej same as me, but no luck :-(
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@YourhighnessLeender unfortunately yes :angry:
I try to reinstall the whole system -
@benkej oke, please update on your progress. Good luck. Im very close to giving up.