thats very helpful. Thanks.

So you got 5 panes… Did you make 5 mirrors?

works perfectly
thanks!

ah… very cool

QUALITY!
Thanks my friend… looking forward to getting home and getting this going

@Tuxdiver
yes of course
I feel confident in implementing it myself and see what I come up with…

I suppose it would be good to have a dynamic situation where it maybe a string.
For example, I am displaying my Hot Water Level. The result will be Low - Good - High.
So it maybe a case of comparing a string value and reacting… Low would be blue and high would be red

@Tuxdiver said in MMM-Rest:

{ range:[0, 10], format: ’ span style=“color: yellow”%d /span’ },
{ range:[10, undef], format: ‘span style=“color: red”%d /span’ },
{ format: ‘span style=“color: green”%d /span’ },

Thanks for the prompt reply… Seems my PI has gone offline and I am at work… so I will try this later and report back

Is it possible to create an in-line if statement to control the formatting?

So, if the result, say @1 > 10 then color:red else color:green

it would be nice to copy some of those modules…
I like the top weather warning bar

i wanted this so I just changed the CSS to remove the key frames section and it shows static list of updated stocks

reserved

Hi all,

Due to there being no guide on this and I was looking for one… I have decided to just make one…
I only start figuring it out last night and so I am still setting up. So I will complete this post as I progress.

I am using the following hardware

• Raspberry Pi 3

• Logitech 1080 HD USB Webcam

• MagicMirror is installed and confirmed functioning correctly.

The software I am using to do this is Mobaxterm.
It might be easier to do all of this on the PI directly.

The steps I have taken to get this working:

Set up the tools

1. Facial Recognition Tools

on the github page click download as zip
extract zip and remove -master from the end of the folder. Note: its the internal folder that you want with the same name.
copy to MagicMirror/modules using your FTP or whatever folder browser you are using.

run this:

sudo apt-get update
sudo apt-get install libopencv-dev python-opencv
sudo npm install python-shell
sudo apt-get install python-pip

change to the tools module folder

cd /MagicMirror/modules/MMM-Facial-Recognition-Tools

run

sudo npm install

pip install -r requirements.txt

Capturing training images

Run

python capture.py

Decide whether you want to capture images from your web cam or convert existing .jpg images.
Enter the name of the person you are about to capture. Images will be stored in a folder named after the captured person in training_data/.
Follow screen instructions.

Training model

Make sure you have captured all your images. Run ``` python train.py ``` The script will automatically scan the directory training_data/ for your images. Wait. You will end up with a training.xml file in the current directory. Copy down the ['name', 'name2','name3'] part because you will later need it for setting up your mirror's face recognition and to test your face recognition model.

2. Test your steps so far

Make sure your training.xml from running train.py is in this directory - /MagicMirror/modules/MMM-Facial-Recognition-Tools

specify the face recognition algorithm in the environment with

export FACE_ALGORITHM=1

specify your user labels in the environment with

export FACE_USERS=Alice,Bob,Casey,Doug

Run

python facerecognition.py.

Success?

3. Set up the module for the mirror
   on the github page for the MMM-Facial-Recognition page, click download as zip
   extract zip and remove -master from the end of the folder. Note: its the internal folder that you want with the same name.
   copy to MagicMirror/modules using your FTP or whatever folder browser you are using.

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

sudo npm install

Open your config.js file and add:

{
	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: 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: [],
		//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
	}
},

Change the line to the actual location. It’s probably still under the Tools Module

trainingFile: 'modules/MMM-Facial-Recognition/training.xml',

for me, I changed it to

trainingFile: 'modules/MMM-Facial-Recognition-Tools/training.xml',

Also, change the line called Users to add you list of users that you set up during the Capture.py section above.

users: ['Joe'],

Finally, change the line, if applicable

useUSBCam: True,

FINAL STEP!

For each module in your config.js, set the profile under which it should load. E.g -

{
	module: 'example_module',
	position: 'top_left',
	//Set your classes here seperated by a space.
	//Shown for all users
	classes: 'default everyone',
},
{
	module: 'example_module2',
	position: 'top_left',
	//Set your classes here seperated by a space.
	//Shown for all users
	classes: 'Joe',
},

So now the first example module will load for everyone and the second will only load for Joe.

---

THIS IS AS FAR AS I AM .. I AM DOCUMENTING AS I GO

@paviro
Module Developer - Please feel free to copy this or use as you see fit. I hope it is helpful to anyone else

I am on a few forums that use NodeBB and do not have these issues… it really ruins the experience of trying to learn and find resources

Is there really nothing that can be done to stop the spam posts?

From Galway in Ireland

Has anyone had any suppliers of Two Way Glass in Ireland that they recommend?

The shipping from other countries is a bit mental

I am working with a 17" LG Screen and just starting out on this adventure