Read the statement by Michael Teeuw here.
MMM-Face-Reco-DNN - All new Face Recognition
-
@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 offThis 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 } }, -
Is it working fine??
-
@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.
-
@ChrizZz
Yes i know this issue. i’m currently working on a bugfix. will tell you if i’m done. -
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.
-
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 } -
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. -
@Blauenfeldt the python code returns an error, but the module does not expect it, and fails.
-
Will this work if the camera is rotated? If not, can you tell me where I need to change the code?
-
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 stuffCheers
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 -
@hANNEsLUL
Try this :pip --no-cache-dir install face_recognition -python setup.py install -
What is the best camera for this module ?
Pi NoIR Camera V2
https://www.raspberrypi.org/products/pi-noir-camera-v2/Or
Camera Module V2
https://www.raspberrypi.org/products/camera-module-v2/Thanks for advance :)
-
@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…
-
@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? -
@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.
-
@boppersnr i also want to know.
-
@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?
-
@nischi In my case classes doesn’t work. I was testing this at a bunch of different modules and always was the same resault, nothing change if classes was defined or not. The face recognition is working I tested it with python. But in modules MMM-Face-Reno-DNN I can’t run classes. Whats more I need to run or where I need to look for a trouble and what can I do to solve it.
-
@nischi when I bring this up only a black screen appears with me listing my name but what about the rest of the modules in the magic mirror could be nice with a photo of the recognized precision I find only this (jimbydude / MMM-Face-Multi -User-Recognition-SMAI)
is picked up by magic mirror without error and stops you who are so incredibly good please come up with a variant with photo and welcome greetings.looking forward to the changes. and on whore 1000 thanks.
Sincerely an unlearned raspberry pi owns rpi4 8g hq camera.
Roy Bråthe Norwar
Hello! It looks like you're interested in this conversation, but you don't have an account yet.
Getting fed up of having to scroll through the same posts each visit? When you register for an account, you'll always come back to exactly where you were before, and choose to be notified of new replies (either via email, or push notification). You'll also be able to save bookmarks and upvote posts to show your appreciation to other community members.
With your input, this post could be even better 💗
Register Login