Comments (10)
I don't notice that behavior on my machine...
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Really? I can’t be the only one. I keep having to dig into the folder and delete the ones that are added... hmmm, i should just set up a cron job to dump ‘em i guess.
from mmm-face-reco-dnn.
Are your sure it's "extendDataset: false," not "extendDataset: 'false'," something like that? Maybe posting your config will help. I copy-pasted mine straight from the README. Try that and work from there. Also be aware of ending differences between Linux / Windows so use a proper editor.
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Hello again Horst;
Definitely certain that its not a typo, as you can see - mine too is copied straight from the readme. Also not a windows issue, I'm driving a mac. Here's that config...
{ module: 'MMM-Face-Reco-DNN', config: { // Logout 10 seconds after user is not detected anymore, if they are detected between this 15 Seconds, they delay will start again logoutDelay: 15000, // 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: 'haar', // 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: 1000, // 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, // Save some pictures from recognized people, if unknown we save it in folder "unknown" // So you can extend your dataset and retrain it afterwards for better recognitions extendDataset: false, // if extenDataset is set, you need to set the full path of the dataset dataset: 'modules/MMM-Face-Reco-DNN/dataset/' } },
from mmm-face-reco-dnn.
Woah, it doesn't look all crappy like that normally. Lemme try again...
{
module: 'MMM-Face-Reco-DNN',
config: {
// Logout 10 seconds after user is not detected anymore, if they are detected between this 15 Seconds, they delay will start again
logoutDelay: 15000,
// 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: 'haar',
// 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: 1000,
// 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,
// Save some pictures from recognized people, if unknown we save it in folder "unknown"
// So you can extend your dataset and retrain it afterwards for better recognitions
extendDataset: false,
// if extenDataset is set, you need to set the full path of the dataset
dataset: 'modules/MMM-Face-Reco-DNN/dataset/'
}
},
from mmm-face-reco-dnn.
Well thats more legible!
Here's a screen grab of the datasets from the last couple days (since last I emptied them)... for any sceptics. ;-p
from mmm-face-reco-dnn.
You were right. It happens for me too. Try my fix.
from mmm-face-reco-dnn.
Pardon my newbie question... how do I implement that? git pull... and to where?
from mmm-face-reco-dnn.
it is on my master now, you can use git pull
from mmm-face-reco-dnn.
Ah, thanks Thierry! ...and thanks Horst for solving that lingering problem for me! You guys are awesome!
from mmm-face-reco-dnn.
Related Issues (20)
- Use picamera question HOT 4
- error while trying to install MMM-Face-Reco-DNN HOT 4
- face is recognized once and modules do not disappear over time HOT 5
- Info about rotateCamera HOT 1
- Increase resolution extendDataset HOT 8
- Error when starting the mirror with MMM-Face-Reco-DNN installed HOT 11
- Blank MagicMirror, Stuck on "Starting Video Stream..."
- Multi User not working HOT 13
- Suspend Face Recognition process HOT 6
- Google Coral Support? HOT 1
- Face detection doesn't work HOT 24
- OpenCV with PiCamera 2 and Bullseye OS needed changes HOT 2
- camera 3 support HOT 5
- Failed to install v.2.0.0 HOT 88
- pipenv not installed HOT 2
- ImportError HOT 16
- Direct Image Capture from Raspberry Pi HOT 1
- how opencv and how install dependencies? HOT 5
- Bookworm Dependency Update HOT 1
- Small Typo in README.md HOT 1
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