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

nischi

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.

nischi

@ChrizZz
Yes you need to use one of the Face Reco Module that this works. Better my new Module ;) it’s much more accurate.

ChrizZz

@nischi said in MMM-Face-Reco-DNN - All new Face Recognition:

@ChrizZz
Yes you need to use one of the Face Reco Module that this works. Better my new Module ;) it’s much more accurate.

Thanks, I will use your new module.

During the setup I have another issue. It’s when I want to start encoding I get this error message:

Traceback (most recent call last):
  File "encode.py", line 5, in <module>
    from imutils import paths
  File "/usr/local/lib/python3.7/dist-packages/imutils/__init__.py", line 8, in <module>
    from .convenience import translate
  File "/usr/local/lib/python3.7/dist-packages/imutils/convenience.py", line 6, in <module>
    import cv2
ModuleNotFoundError: No module named 'cv2'

I think it’s a problem of my OpenCV installation where I skipped the virtualenvs. In step 6 of the tutorial I should do this:

$ cd ~/.virtualenvs/cv/lib/python3.5/site-packages/
$ ln -s /usr/local/python/cv2/python-3.5/cv2.cpython-35m-arm-linux-gnueabihf.so cv2.so
$ cd ~

I skipped that because I have no idea where I have to create the link when I install this without virtualenvs. But it seems that I have to link it…

//edit: Key to success:

cd ~/opencv-4.0.0/build/lib/python3
sudo cp cv2.cpython-35m-arm-linux-gnueabihf.so /usr/local/lib/python3.5/dist-packages/cv2.so

nischi

@ChrizZz
Thanks for your solution. Usually it’s because the link for cv2 is to the wrong python Version.
Happy to hear that it works.

ChrizZz

is it common that it takes 40sec between face recognition and turning the TV on?

I see it happen after a freshly restarted pi, that it takes 40/45sec. The scenario is that I restart my pi, mm is autostarting and the TV is turned off by the module. Between the restart and the 1st face recognition is ~3min time.