Read the statement by Michael Teeuw here.
MMM-Face-Reco-DNN - All new Face Recognition
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@ChrizZz
You can use my other Module https://github.com/nischi/MMM-MotionControl to control TV with my Face Reco Module. It communicate with Notifications and is not using an own Camera Stream. -
oh, I didn’t know that you have a modul for it. But unfortunately it isn’t working on my Pi. Your modul doesn’t recognize a motion.
Do I have to uninstall the MMM-MotionDetector first?
Or do I need to run Face-Reco-DNN or the OCV3 version?//edit: I think I know why it isn’t working. Maybe my display isn’t HDMI-CEC ready. I changed the command of your node_helper.js.
Default:turnOn: function() { var self = this; exec('echo "on 0" | cec-client ' + this.config.comport + ' -s -d 1', function (error, stdout, stderr) { self.status = 'on';
My version:
turnOn: function() { var self = this; exec('vcgencmd display_power 1', function (error, stdout, stderr) { self.status = 'on';
Instead of sending a note to my display for standby I switch off the display_power. But I can’t wake up the display again. I think I have to use Face-Reco-DNN or Facial-Recognition-OCV3. Currently I don’t use them because I have to do the setup for the DNN version.
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@ChrizZz
Yes you need to use one of the Face Reco Module that this works. Better my new Module ;) it’s much more accurate. -
@nischi said in MMM-Face-Reco-DNN - All new Face Recognition:
@ChrizZz
Yes you need to use one of the Face Reco Module that this works. Better my new Module ;) it’s much more accurate.Thanks, I will use your new module.
During the setup I have another issue. It’s when I want to start encoding I get this error message:
Traceback (most recent call last): File "encode.py", line 5, in <module> from imutils import paths File "/usr/local/lib/python3.7/dist-packages/imutils/__init__.py", line 8, in <module> from .convenience import translate File "/usr/local/lib/python3.7/dist-packages/imutils/convenience.py", line 6, in <module> import cv2 ModuleNotFoundError: No module named 'cv2'
I think it’s a problem of my OpenCV installation where I skipped the virtualenvs. In step 6 of the tutorial I should do this:
$ cd ~/.virtualenvs/cv/lib/python3.5/site-packages/ $ ln -s /usr/local/python/cv2/python-3.5/cv2.cpython-35m-arm-linux-gnueabihf.so cv2.so $ cd ~
I skipped that because I have no idea where I have to create the link when I install this without virtualenvs. But it seems that I have to link it…
//edit: Key to success:
cd ~/opencv-4.0.0/build/lib/python3 sudo cp cv2.cpython-35m-arm-linux-gnueabihf.so /usr/local/lib/python3.5/dist-packages/cv2.so
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@ChrizZz
Thanks for your solution. Usually it’s because the link for cv2 is to the wrong python Version.
Happy to hear that it works. -
is it common that it takes 40sec between face recognition and turning the TV on?
I see it happen after a freshly restarted pi, that it takes 40/45sec. The scenario is that I restart my pi, mm is autostarting and the TV is turned off by the module. Between the restart and the 1st face recognition is ~3min time.
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@ChrizZz
Sound a little bit long to me, for me it works faster. But it took a while until they are startet. Do you use default settings? -
@nischi said in MMM-Face-Reco-DNN - All new Face Recognition:
@ChrizZz
Sound a little bit long to me, for me it works faster. But it took a while until they are startet. Do you use default settings?My logs file is also a bit weird:
[MMM-Face-Reco-DNN] Users ChrizZz logged in. CECControl received (current, new): off on CECControl received (current, new): on off CECControl received (current, new): off on CECControl received (current, new): on off CECControl received (current, new): off on CECControl received (current, new): on off [MMM-Face-Reco-DNN] Users ChrizZz logged out. CECControl received (current, new): off on CECControl received (current, new): on off CECControl received (current, new): off on CECControl received (current, new): on off [MMM-Face-Reco-DNN] Users ChrizZz logged in. CECControl received (current, new): off on CECControl received (current, new): on off [MMM-Face-Reco-DNN] Users ChrizZz logged out. [MMM-Face-Reco-DNN] Users ChrizZz logged in. CECControl received (current, new): off on CECControl received (current, new): on off CECControl received (current, new): off on CECControl received (current, new): on off [MMM-Face-Reco-DNN] Users ChrizZz logged out. CECControl received (current, new): off on CECControl received (current, new): on off CECControl received (current, new): off on CECControl received (current, new): on off
This is a 3min part of the logs and the 1st time I was in front of the mirror and recognized by the module this evening.
My settings are:
{ module: 'MMM-CECControl', config: { // Comport of your Raspberry Pi comport: 'RPI', // Turn the TV off if the Mirror start offOnStartup: true } }, { module: 'MMM-MotionControl', config: { // Delay to turn the TV off delay: 60000, // Interval to check modules interval: 5000, // Use the module MMM-Facial-Recognition-OCV3 useFacialRecognitionOCV3: false, // Use the module MMM-Face-Reco-DNN useMMMFaceRecoDNN: true, // Array where tv should be on ontime: [] } }, { module: 'MMM-Face-Reco-DNN', config: { // Logout 15 seconds after user was not detecte anymore, if they will be detected between this 15 Seconds, they delay will start again logoutDelay: 30000, // How many time the recognition starts, with a RasPi 3+ it would be good every 2 seconds checkInterval: 2000, // 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', // XML to recognize with haarcascae cascade: 'modules/MMM-Face-Reco-DNN/tools/haarcascade_frontalface_default.xml', // Pre encoded pickle with the faces encodings: 'modules/MMM-Face-Reco-DNN/tools/encodings.pickle', // You wanna use pi camera or usb / builtin (1 = raspi camera, 0 = other camera) usePiCamera: 1, // Method of face detection (dnn = deep neural network, haar = haarcascade) method: 'dnn', // Which face detection model to use. "hog" is less accurate but faster on CPUs. "cnn" is a more accurate deep-learning model which is GPU/CUDA accelerated (if available). detectionMethod: 'hog', // How fast in ms should the modules hide and show (face effect) animationSpeed: 0, // Path to Python to run the face recognition (null / '' means default path) pythonPath: null, // Should shown welcome message over alert module from MagicMirror welcomeMessage: true } },
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Is it working fine??
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@dragontattoo said in MMM-Face-Reco-DNN - All new Face Recognition:
Is it working fine??
Depends on how you define working fine…The face recognition is working quite good, setting it up is easy with the advice you get in this thread. For me it’s just the “slow” reaction to activate the display which is an issue. But I’m optimistic that there is a way to solve it and I have a special environment with a display which hasn’t CEC control.