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

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

gaudouy

@hANNEsLUL
Try this :

pip --no-cache-dir install face_recognition
-python setup.py install

gaudouy

What is the best camera for this module ?
Pi NoIR Camera V2
alt text
https://www.raspberrypi.org/products/pi-noir-camera-v2/

Or

Camera Module V2
alt text
https://www.raspberrypi.org/products/camera-module-v2/

Thanks for advance :)

hANNEsLUL

@gaudouy
Thank you, seems like that worked.

But now I am getting following error when I’m trying to run “encode.py”

Python 3.7.3 (/usr/bin/python3)
>>> %Run encode.py
Traceback (most recent call last):
  File "/home/pi/MagicMirror/modules/MMM-Face-Reco-DNN/tools/encode.py", line 5, in <module>
    from imutils import paths
ModuleNotFoundError: No module named 'imutils'
>>>

But when I’m installing “imutils” using “pip install imutils” I am getting no error, but following message:

Looking in indexes: https://pypi.org/simple, https://www.piwheels.org/simple
Requirement already satisfied: imutils in ./.local/lib/python2.7/site-packages (0.5.3)

Any Idea how to fix that?

And to your best camera question for this module, I’m using the PiCamera Module v.2, but I can’t tell you how good its working, since the Face-Reco is not working yet…

boppersnr

@nischi
First off, I love your module. Well done. Its lots of fun.

Question - How can I display the frame/view of the camera on the magic mirror?
I would like to see what the camera sees on the screen in Magic Mirror. So I can see the display and the little green boxes with the names of the faces it recognises. Do you know what I would need to do to display the camera frame with the facial recognition code running the scans/outputs on screen?

ghiesseldorf

@nischi If a user who isn’t known by Face-Reco-DNN moves in front of the camera, is a notification message generated and picked up by MMM-MotionControl? It doesn’t look like the “default” and/or “everyone” classes toggles the screen to un-blank. I was expecting that ANY motion (changes in the capture frames from the camera) would un-blank, but I’m not seeing this behavior. No log-in message gets written to the log.

Alphons

@boppersnr i also want to know.

nischi

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

uld like to see what the camera sees on the screen in Magic Mirror. So I can see the display and the little green boxes with the names of the faces it recognises. Do you know what I would need to do to display the camera frame with the facial recognition code running the scans/outputs on screen?

This feature is not implemented, sorry. Maybe create a ticket in github?