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)

OK after lots and lots of trial and error I hope this helps people… these are the settings and results I had and as far as I can tell the everyone setting doesnt do what I would expect…

I don’t hink you have a way of identifying a stranger and do something specific for them?

defaultClass: "default", //Module set used for strangers and if no user is detected

It looks like when everyone is specified on its own then the logic doesnt seem to work. See classes: “everyone” below…

                                users: ['martin'], // 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: false // Boolean to toggle welcomeMessage
                        }
                },
                {
                        module: "clock",
                        position: "top_left",
                        classes: "default" // displays with no face detection (OK) - not displayed when martin detected (OK) - displayed with no specific user detected (OK?)
                },
                {
                        module: "clock",
                        position: "top_right",
                        classes: "default everyone" // displays with no face detection (OK) - displayed with no specific user and martin (OK)
                },
                {
                        module: "clock",
                        position: "bottom_right",
                        classes: "default martin" // displays with no face detection (OK) - displayed with no specific user and martin (OK)
                },
                {
                        module: "clock",
                        position: "bottom_left",
                        classes: "everyone" // never displays (??? I would expect this to display when Martin is detected - or any other user)
                },
                {
                        module: "compliments",
                        position: "lower_third",
                        classes: "martin" // only displayed when martin detected (OK)
                },

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)

@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
                    }
            },