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

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.

nischi

@ChrizZz
Sound a little bit long to me, for me it works faster. But it took a while until they are startet. Do you use default settings?

ChrizZz

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

@ChrizZz
Sound a little bit long to me, for me it works faster. But it took a while until they are startet. Do you use default settings?

My logs file is also a bit weird:

[MMM-Face-Reco-DNN] Users ChrizZz logged in.
CECControl received (current, new): off on
CECControl received (current, new): on off
CECControl received (current, new): off on
CECControl received (current, new): on off
CECControl received (current, new): off on
CECControl received (current, new): on off
[MMM-Face-Reco-DNN] Users ChrizZz logged out.
CECControl received (current, new): off on
CECControl received (current, new): on off
CECControl received (current, new): off on
CECControl received (current, new): on off
[MMM-Face-Reco-DNN] Users ChrizZz logged in.
CECControl received (current, new): off on
CECControl received (current, new): on off
[MMM-Face-Reco-DNN] Users ChrizZz logged out.
[MMM-Face-Reco-DNN] Users ChrizZz logged in.
CECControl received (current, new): off on
CECControl received (current, new): on off
CECControl received (current, new): off on
CECControl received (current, new): on off
[MMM-Face-Reco-DNN] Users ChrizZz logged out.
CECControl received (current, new): off on
CECControl received (current, new): on off
CECControl received (current, new): off on
CECControl received (current, new): on off

This is a 3min part of the logs and the 1st time I was in front of the mirror and recognized by the module this evening.

My settings are:

		{
			module: 'MMM-CECControl',
    				config: {
      					  // Comport of your Raspberry Pi
      					  comport: 'RPI',
      					  // Turn the TV off if the Mirror start
       					 offOnStartup: true
    					}
		},
		{
    			module: 'MMM-MotionControl',
   				 config: {
     					   // Delay to turn the TV off
       						 delay: 60000,
       					 // Interval to check modules
 					       interval: 5000,
 				       // Use the module MMM-Facial-Recognition-OCV3
  				      useFacialRecognitionOCV3: false,
   				     // Use the module MMM-Face-Reco-DNN
   				     useMMMFaceRecoDNN: true,
   				     // Array where tv should be on
				        ontime: []
					    }
		},
		{
			module: 'MMM-Face-Reco-DNN',
    				config: {
      					// Logout 15 seconds after user was not detecte anymore, if they will be detected between this 15 Seconds, they delay will start again
      					logoutDelay: 30000,
      					// 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: 'dnn',
      					// 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: 0,
      					// 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
    					}
		},

dragontattoo

Is it working fine??

ChrizZz

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

Is it working fine??

Depends on how you define working fine…The face recognition is working quite good, setting it up is easy with the advice you get in this thread. For me it’s just the “slow” reaction to activate the display which is an issue. But I’m optimistic that there is a way to solve it and I have a special environment with a display which hasn’t CEC control.

nischi

@ChrizZz
Yes i know this issue. i’m currently working on a bugfix. will tell you if i’m done.

Ivanov_d

I am turning on the monitor using a PIR sensor and it is instant. Keep in mind that it also depends on your monitor, some are slower to respond - this is my second monitor, the first one was very slow to respond to any HDMI related commands.

ChrizZz

I have a new strange error and I think it’s just if I restart mm with “pm2 restart mm”. If I reboot my pi, everything is fine.

SyntaxError: Unexpected token m in JSON at position 0
    at JSON.parse (<anonymous>:null:null)
    at PythonShell.asJson (/home/pi/MagicMirror/modules/MMM-Face-Reco-DNN/node_modules/python-shell/index.js:375:21)
    at /home/pi/MagicMirror/modules/MMM-Face-Reco-DNN/node_modules/python-shell/index.js:326:42
    at Array.forEach (<anonymous>:null:null)
    at PythonShell.receiveInternal (/home/pi/MagicMirror/modules/MMM-Face-Reco-DNN/node_modules/python-shell/index.js:322:15)
    at PythonShell.receiveStderr (/home/pi/MagicMirror/modules/MMM-Face-Reco-DNN/node_modules/python-shell/index.js:306:21)
    at Socket.<anonymous> (/home/pi/MagicMirror/modules/MMM-Face-Reco-DNN/node_modules/python-shell/index.js:109:22)
    at Socket.emit (events.js:182:13)
    at addChunk (_stream_readable.js:279:12)
    at readableAddChunk (_stream_readable.js:260:13)
    at Socket.Readable.push (_stream_readable.js:219:10)
    at Pipe.onread (net.js:636:20)

SyntaxError: Unexpected token T in JSON at position 0
    at JSON.parse (<anonymous>:null:null)
    at PythonShell.asJson (/home/pi/MagicMirror/modules/MMM-Face-Reco-DNN/node_modules/python-shell/index.js:375:21)
    at /home/pi/MagicMirror/modules/MMM-Face-Reco-DNN/node_modules/python-shell/index.js:326:42
    at Array.forEach (<anonymous>:null:null)
    at PythonShell.receiveInternal (/home/pi/MagicMirror/modules/MMM-Face-Reco-DNN/node_modules/python-shell/index.js:322:15)
    at PythonShell.receiveStderr (/home/pi/MagicMirror/modules/MMM-Face-Reco-DNN/node_modules/python-shell/index.js:306:21)
    at Socket.<anonymous> (/home/pi/MagicMirror/modules/MMM-Face-Reco-DNN/node_modules/python-shell/index.js:109:22)
    at Socket.emit (events.js:182:13)
    at addChunk (_stream_readable.js:279:12)
    at readableAddChunk (_stream_readable.js:260:13)
    at Socket.Readable.push (_stream_readable.js:219:10)
    at Pipe.onread (net.js:636:20)

{ Error: mmal: mmal_vc_port_enable: failed to enable port vc.null_sink:in:0(OPQV): ENOSPC
mmal: mmal_port_enable: failed to enable connected port (vc.null_sink:in:0(OPQV))0x631b2f0 (ENOSPC)
mmal: mmal_connection_enable: output port couldn't be enabled
Traceback (most recent call last):
  File "modules/MMM-Face-Reco-DNN/tools/facerecognition.py", line 56, in <module>
    vs = VideoStream(usePiCamera=True).start()
  File "/home/pi/MagicMirror/modules/MMM-Face-Reco-DNN/tools/stream.py", line 18, in __init__
    framerate=framerate)
  File "/home/pi/MagicMirror/modules/MMM-Face-Reco-DNN/tools/picam.py", line 10, in __init__
    self.camera = PiCamera()
  File "/usr/lib/python3/dist-packages/picamera/camera.py", line 433, in __init__
    self._init_preview()
  File "/usr/lib/python3/dist-packages/picamera/camera.py", line 513, in _init_preview
    self, self._camera.outputs[self.CAMERA_PREVIEW_PORT])
  File "/usr/lib/python3/dist-packages/picamera/renderers.py", line 558, in __init__
    self.renderer.inputs[0].connect(source).enable()
  File "/usr/lib/python3/dist-packages/picamera/mmalobj.py", line 2212, in enable
    prefix="Failed to enable connection")
  File "/usr/lib/python3/dist-packages/picamera/exc.py", line 184, in mmal_check
    raise PiCameraMMALError(status, prefix)
picamera.exc.PiCameraMMALError: Failed to enable connection: Out of resources

    at PythonShell.parseError (/home/pi/MagicMirror/modules/MMM-Face-Reco-DNN/node_modules/python-shell/index.js:268:21)
    at terminateIfNeeded (/home/pi/MagicMirror/modules/MMM-Face-Reco-DNN/node_modules/python-shell/index.js:139:32)
    at ChildProcess.<anonymous> (/home/pi/MagicMirror/modules/MMM-Face-Reco-DNN/node_modules/python-shell/index.js:131:13)
    at ChildProcess.emit (events.js:182:13)
    at Process.ChildProcess._handle.onexit (internal/child_process.js:237:12)

  executable: 'python3',
  options: null,
  script: 'modules/MMM-Face-Reco-DNN/tools/facerecognition.py',
  args:
   [ '--cascade=modules/MMM-Face-Reco-DNN/tools/haarcascade_frontalface_default.xml',
     '--encodings=modules/MMM-Face-Reco-DNN/tools/encodings.pickle',
     '--usePiCamera=1',
     '--method=dnn',
     '--detectionMethod=hog',
     '--interval=2000',
     '--output=0' ],
  exitCode: 1 }

Blauenfeldt

I get this too, when my PI can’t connect to the camera. I know that, because if i use
Raspistill -o s.jpg
I will get an error there too. A reboot seems to fix it though. I don’t know what makes it happen, but i suspect the cable.

sdetweil

@Blauenfeldt the python code returns an error, but the module does not expect it, and fails.

rjlinden

Will this work if the camera is rotated? If not, can you tell me where I need to change the code?

hANNEsLUL

Hi,

when im trying to install the face_recogtnition I’m getting this error code:

Does anybody know how to fix this/what is causing this?
Sorry if it’s obvious, im a super noob with this kind of stuff

Cheers

pi@raspberrypi:~ $ pip install face_recognition
Looking in indexes: https://pypi.org/simple, https://www.piwheels.org/simple
Collecting face_recognition
  Using cached https://files.pythonhosted.org/packages/1e/95/f6c9330f54ab07bfa032bf3715c12455a381083125d8880c43cbe76bb3d0/face_recognition-1.3.0-py2.py3-none-any.whl
Requirement already satisfied: dlib>=19.7 in ./.local/lib/python2.7/site-packages (from face_recognition) (19.19.0)
Collecting face-recognition-models>=0.3.0 (from face_recognition)
  Downloading https://www.piwheels.org/simple/face-recognition-models/face_recognition_models-0.3.0-py2.py3-none-any.whl (100.6MB)
    99% |████████████████████████████████| 100.6MB 1.7MB/s eta 0:00:01
Exception:
Traceback (most recent call last):
  File "/usr/lib/python2.7/dist-packages/pip/_internal/cli/base_command.py", line 143, in main
    status = self.run(options, args)
  File "/usr/lib/python2.7/dist-packages/pip/_internal/commands/install.py", line 338, in run
    resolver.resolve(requirement_set)
  File "/usr/lib/python2.7/dist-packages/pip/_internal/resolve.py", line 102, in resolve
    self._resolve_one(requirement_set, req)
  File "/usr/lib/python2.7/dist-packages/pip/_internal/resolve.py", line 256, in _resolve_one
    abstract_dist = self._get_abstract_dist_for(req_to_install)
  File "/usr/lib/python2.7/dist-packages/pip/_internal/resolve.py", line 209, in _get_abstract_dist_for
    self.require_hashes
  File "/usr/lib/python2.7/dist-packages/pip/_internal/operations/prepare.py", line 283, in prepare_linked_requirement
    progress_bar=self.progress_bar
  File "/usr/lib/python2.7/dist-packages/pip/_internal/download.py", line 836, in unpack_url
    progress_bar=progress_bar
  File "/usr/lib/python2.7/dist-packages/pip/_internal/download.py", line 673, in unpack_http_url
    progress_bar)
  File "/usr/lib/python2.7/dist-packages/pip/_internal/download.py", line 897, in _download_http_url
    _download_url(resp, link, content_file, hashes, progress_bar)
  File "/usr/lib/python2.7/dist-packages/pip/_internal/download.py", line 617, in _download_url
    hashes.check_against_chunks(downloaded_chunks)
  File "/usr/lib/python2.7/dist-packages/pip/_internal/utils/hashes.py", line 48, in check_against_chunks
    for chunk in chunks:
  File "/usr/lib/python2.7/dist-packages/pip/_internal/download.py", line 585, in written_chunks
    for chunk in chunks:
  File "/usr/lib/python2.7/dist-packages/pip/_internal/utils/ui.py", line 159, in iter
    for x in it:
  File "/usr/lib/python2.7/dist-packages/pip/_internal/download.py", line 574, in resp_read
    decode_content=False):
  File "/usr/share/python-wheels/urllib3-1.24.1-py2.py3-none-any.whl/urllib3/response.py", line 494, in stream
    data = self.read(amt=amt, decode_content=decode_content)
  File "/usr/share/python-wheels/urllib3-1.24.1-py2.py3-none-any.whl/urllib3/response.py", line 442, in read
    data = self._fp.read(amt)
  File "/usr/share/python-wheels/CacheControl-0.11.7-py2.py3-none-any.whl/cachecontrol/filewrapper.py", line 63, in read
    self._close()
  File "/usr/share/python-wheels/CacheControl-0.11.7-py2.py3-none-any.whl/cachecontrol/filewrapper.py", line 50, in _close
    self.__callback(self.__buf.getvalue())
  File "/usr/share/python-wheels/CacheControl-0.11.7-py2.py3-none-any.whl/cachecontrol/controller.py", line 275, in cache_response
    self.serializer.dumps(request, response, body=body),
  File "/usr/share/python-wheels/CacheControl-0.11.7-py2.py3-none-any.whl/cachecontrol/serialize.py", line 87, in dumps
    ).encode("utf8"),
MemoryError