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    Facial Recognition - customize your mirror for every user!

    Troubleshooting
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    • M
      mc_landin last edited by

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

      T 1 Reply Last reply Reply Quote 1
      • J
        JavierTSalas last edited by

        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?

        1 Reply Last reply Reply Quote 0
        • S
          salamures last edited by

          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)
          
          A 1 Reply Last reply Reply Quote 0
          • A
            avinash @salamures last edited by

            @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.

            S 1 Reply Last reply Reply Quote 0
            • S
              salamures @avinash last edited by salamures

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

              1 Reply Last reply Reply Quote 0
              • S
                salamures last edited by

                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?

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                • P
                  PrivatVoidMarmot last edited by

                  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:

                  0_1510996315204_mmm.PNG

                  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?

                  1 Reply Last reply Reply Quote 0
                  • T
                    thebeetleuk @mc_landin last edited by

                    @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
                                        }
                                },
                    T 1 Reply Last reply Reply Quote 0
                    • T
                      thebeetleuk @thebeetleuk last edited by

                      This post is deleted!
                      1 Reply Last reply Reply Quote 0
                      • T
                        thebeetleuk last edited by

                        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)
                        
                        1 Reply Last reply Reply Quote 1
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