#Raspberry pi magic mirror component install
#Raspberry pi magic mirror component software
#Raspberry pi magic mirror component zip

So now the first example module will load for everyone and the second will only load for Joe. Set your classes here seperated by a space. users: ,įinally, change the line, if applicable useUSBCam: True,įor each module in your config.js, set the profile under which it should load. It’s probably still under the Tools Module trainingFile: 'modules/MMM-Facial-Recognition/training.xml',įor me, I changed it to trainingFile: 'modules/MMM-Facial-Recognition-Tools/training.xml',Īlso, change the line called Users to add you list of users that you set up during the Capture.py section above. Set of modules which should be shown for every userĬhange the line to the actual location. Module set used for strangers and if no user is detected

Array with usernames (copy and paste from training script) 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 recognition intervall in seconds (smaller number = faster but CPU intens!)

TrainingFile: 'modules/MMM-Facial-Recognition/training.xml', force the use of a usb webcam on raspberry pi (on other platforms this is always true automatically) more confident the algorithm is that the face was correctly detected. a positive match because the lower the confidence value, or distance, the Confidence values below this threshold will be considered Threshold for the confidence of a recognized face before it's considered a

#Raspberry pi magic mirror component install

Visit the terminal window and go to your newly create folder - /MagicMirror/Modules/MMM-Facial-Recognition and run sudo npm install

#Raspberry pi magic mirror component zip

On the github page for the MMM-Facial-Recognition page, click download as zip Specify your user labels in the environment with export FACE_USERS=Alice,Bob,Casey,Doug Specify the face recognition algorithm in the environment with export FACE_ALGORITHM=1 Make sure your training.xml from running train.py is in this directory - /MagicMirror/modules/MMM-Facial-Recognition-Tools You will end up with a training.xml file in the current directory.Ĭopy down the part because you will later need it for setting up your mirror's face recognition and to test your face recognition model. The script will automatically scan the directory training_data/ for your images. Make sure you have captured all your images. Images will be stored in a folder named after the captured person in training_data/.įollow screen instructions.

jpg images.Įnter the name of the person you are about to capture. Sudo apt-get install libopencv-dev python-opencvĬhange to the tools module folder cd /MagicMirror/modules/MMM-Facial-Recognition-Toolsĭecide whether you want to capture images from your web cam or convert existing. Note: its the internal folder that you want with the same name.Ĭopy to MagicMirror/modules using your FTP or whatever folder browser you are using. The steps I have taken to get this working: Set up the toolsĮxtract zip and remove -master from the end of the folder. It might be easier to do all of this on the PI directly.

#Raspberry pi magic mirror component software

The software I am using to do this is Mobaxterm. MagicMirror is installed and confirmed functioning correctly. So I will complete this post as I progress. I only start figuring it out last night and so I am still setting up. Due to there being no guide on this and I was looking for one… I have decided to just make one…