Facial Recognition - customize your mirror for every user!

[Wilco89]

@paviro wir warten noch ein Moment. Viel Spaß im Berlin.

I hope everything is going well with the move to Berlin. So everybody will be happy in a few weeks.

[xdker]

why？

^CTraceback (most recent call last):
  File "capture.py", line 35, in <module>
    capture.capture()
  File "/home/pi/MagicMirror/MMM-Facial-Recognition-Tools/facetrainer/lib/capture.py", line 53, in capture
    if is_letter_input('c'):
  File "/home/pi/MagicMirror/MMM-Facial-Recognition-Tools/facetrainer/lib/capture.py", line 23, in is_letter_input
    input_char = raw_input()
KeyboardInterrupt

---

Note from admin: Please use Markdown on shell snippets!

[xdker]

This post is deleted!

[paviro]

Looks like you terminated the process by pressing ctrl-C or strg-C, just press c and then enter and no other key with the c.

[xdker]

@paviro
Oh sorry, I’m sorry I didn’t notice.
But there are the following tips.
where is capture.pgm not in the name of the folder.

Could not detect single face!  Check the image in capture.pgm to see what was captured and try again with only one face visible.

[plumcraft]

Hi everyone,

I have the same issue.

---

What do you want to do?
[1] Capture training images from webcam
[2] Convert ‘*.jpg’ pictures from other cameras to training images
–> 1

Enter the name of the person you want to capture or convert images for.
–> olifier
Images will be placed in ./training_data/olifier

---

Starting process…

Capturing positive training images.
Type c (and press enter) to capture an image.
Press Ctrl-C to quit.

c
Capturing image…
Could not detect single face! Check the image in capture.pgm to see what was captured and try again with only one face visible.

Thanks a lot

[sarthak18593]

@plumcraft Are you using the Pi camera module or a usb webcam ?

[plumcraft]

@sarthak18593

I’m using the pi camera module. It’s correctly enable from the raspi config tool.

[plumcraft]

I’ve tried to capture an image from my pi camera with :

pi@pi:~ $ raspistill -o output.jpg

the raspistill tool hang…

The pi camera might be broken ? someone got the same issue ?

Do you have any good usb webcam compatible with raspberry pi 3 and opencv ? I would like to use the MMM Face recognition module…

Thanks

[plumcraft]

After retrying couple of times to make it work, it looks like the issue was coming the raspbian distribution or python package issue.

After reflashing my sd card with a fresh raspbian image, my camera works…

[bobbob601]

This post is deleted!

[paviro]

It checks every second or so but you can configure the interval.You can buy longer cables for the Pi cam :)

[bobbob601]

This post is deleted!

[rajbadri]

i am having a problem that the screen remains blank after i am logged in

( image url)

Thanks

[rvdgeer]

Very nice module.
However I keep ruinning into the same error when I try capture.py to convert them to pgm files:
Could not detect single face!

I’ve taken ‘selfies’ with different camera’s in different lighting conditions, but not even one is good enough to convert into a pgm file…
Can you please give me some clues on what conditions my pictures have to meet?
Am I doing something wrong?
All help and advice appreciated!

[rvdgeer]

@rajbadri Have you added the classes: (with a value) to all the other modules in the config.js? If you get a plain black screen without errors it might be that no modules were loaded.

[rvdgeer]

@rvdgeer OK, replying to my own post for future reference:

I got it working by doing the following:

• cropped the pictures to only show my face;
• copied the cropped pictures and transformed them to greyscale;
• copied the grey pictures and upped the contact;
• moved all pictures (originals and copies) to a direct sub folder of the facetrainer folder;
• started the capture.py, pressed 2, entered my name, entered the name of the sub folder (only the sub folder, not the entire path) and waited.

This way I got it to recognize about 10 of the pictures…
Not bad!

Getting it to recognize me is still not easy, but that because of the lighting conditions in my ManCave where I’m putting it together.

[shashank]

@paviro Hi,

I am getting this error while running facerecognition.py

and also need to know in //Facerecognition Test Tool Readme
In tools/facerecognition_tester/lib/config.py add add your training labels from tools/facetrainer under personen = [] ( what need to enter in this personen= [])

[rvdgeer]

@shashank If you run the facetrainer (capture.py and train.py) first, you should know what to enter here…

[shashank]

@rvdgeer hi,

After running capture.py a folder created by name ‘sasi’ in the /home/pi/MagicMirror/modules/MMM-Facial-Recognition-Tools/facetrainer/training_data

then by running train.py a training.xml created in the path
/home/pi/MagicMirror/modules/MMM-Facial-Recognition-Tools/facetrainer

and also in /home/pi/MagicMirror/modules/MMM-Facial-Recognition-Tools/facerecognition_tester/lib i mentioned name in personen = ["sasi"]

my config.js file as below

{
    module: 'MMM-Facial-Recognition',
    position: 'top_left',
    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: false,
        // Path to your training xml
        trainingFile: 'modules/MMM-Facial-Recognition/training.xml',
        // recognition intervall in seconds (smaller number = faster but CPU intens!)
        interval: 2,
        // 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: ['sasi'],
        //Module set used for strangers and if no user is detected
        defaultClass: "default",
        //Set of modules which should be shown for every user
        forAllClass: "for_all"
    }
},

{
    module: 'clock',
    position: 'top_left',
    //Set your classes here seperated by a space.
    //Shown for all users
    classes: 'for_all'
},

when i run pm2 start mm i am struck at below message

can someone help me on this error