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

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?