MMM-Face-Reco-DNN - All new Face Recognition

Ivanov_d

I will give it a go. I am getting mixed results with OCV3 facial recognition.

Ivanov_d

After few days of installing (it takes a lot of time to build OpenCV 4.1 and dlib), trial and errors I finally installed and configured the module and oh boy is it good? Yes it is. It is much faster and accurate than Facial_Recognition_OCV3 that I used before. It was tottaly worth the time.

Thanks a lot to nischi for responding so quickly to the issues I posted on GitHub and to the enhansments he made based on my feedback.

nischi

@Ivanov_d Thanks a lot, glad to hear that.

ChrizZz

as a Noob I have a few questions regarding the installation process - I passed now OpenCV:

At first for me it looks like this is the newest face recognition module and therefore I should go for installing this one instead of the other 2 options, right?

Now I finished the OpenCV installation by using the linked guide from pyimagesearch. There OpenCV was installed in an virtual environment. Is this important? Do I have to install all the libs like dlib or face recognition also in this virtual environment?

nischi

@ChrizZz

Yes its the newest version of the face reco 😊

No its not that important that you use a virtual environment, bit with this you can also install different versions on the same machine. but if you have a virtual environment you need to install all dependencies ther, dlib and face reco too.

Ivanov_d

@ChrizZz I followed the tutorial and installed OpenCV and all dependencies in a virtual environment, but that did not go very well afterwards, you have to reconfigure the module with the correct paths and that can be cumbersome, therefore I started on a clean state and installed OpenCV and the dependencies without a virtual envioronment - e.g. follow the same tutorial without the part related to virtual enviornment. That is the most appropriate for our use case.

ChrizZz

damn - 2nd try without a virtual environment.

@nischi: Is there a chance that you merge your module also with MMM-MotionDetector? Currently I use the camera to activate and deactive my screen and Google told me that it isn’t possible that 2 processes use the same camera. The suggested solution was to use a 2nd camera, merge both processes or stream the camera picture.

Ivanov_d

@ChrizZz I have used camera motion detection and I gave it up, because:

It is not very reliable (maybe it was just my cheap camera that I used for testing back then)
it is resource hungry

Because of that I use an external wireless PIR sensor which is part of my smart home system to turn on/off my SmartMirror and it works great. Since the motion processing happens on my smart home system and the Mirror is turned on/off via SSH command it takes up no resources at all from the MagicMirror which is already at 60% load when using Facial Recognition.

nischi

@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.

ChrizZz

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.