Read the statement by Michael Teeuw here.
MMM-Face-Reco-DNN - All new Face Recognition
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@Ivanov_d Thanks a lot, glad to hear that.
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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?
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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.
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@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.
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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.
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@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.
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@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. -
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.
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@ChrizZz
Yes you need to use one of the Face Reco Module that this works. Better my new Module ;) it’s much more accurate. -
@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