Comments (6)
Perhaps this is an issue with the documentation. But the steps required are;
- create a
compute node
inside of an addedinput node
- check the box "recognise a face in the image"
- Then when the "Add image" button pops up click that to select images (you may select one or many). Any image selected should contain the face of the individual you would like to recognise only.
- When selection is done, simply click "add" or "update" in the editor which should then send the images to the node red server for processing.
- Your node red instance will freeze for a bit to compute the descriptors of the faces you have supplied and then save them. (note that you will need write permissions to your .node-red folder)
- After that, make sure your compute node is selected in your input nodes, then simply pass an image to the node for inference.
from node-red-contrib-face-recognition.
If you are having issues, make sure to check the logs as well. If you get stuck just paste them here as they should indicate the issue.
from node-red-contrib-face-recognition.
And, follow up, is there a way to teach more that 10 faces? I want to use this for when I host parties to announces who's as the door. Which mean I would need to teach about 50 faces.
I did some tries with teaching 4 pictures and then trying one similar (All of sheldon cooper) but it still doesn't recognize.
Are those settings right?
from node-red-contrib-face-recognition.
Currently there is no way to add more than 10 compute nodes to an input node. This is because the HTML is currently statically type for the input node due to the way the front end had to be written. I may change this in the future so this limitation wont exist.
A work around is to add as many input nodes as you desire and sending the same input to each at the same time.
from node-red-contrib-face-recognition.
Hi,
first things first: thank you very much for this great piece of software!
Just installed it on a Raspi 4 and it just worked !
I want to replace and expand a webcam system written in Python
https://newgoldeneye.blogspot.com/2020/05/webcam-flugplatz.html
Now I am looking for a "face-blur" function. Is that already in the pipeline ?
I am also looking for the coordinates (x,y) of the bounding boxes of the faces found in an image.
To write a function on my own I would need these coordinates.
There is "payload.face_recon.faces[0].imageDims._width" and _height but I was unable to find the x,y values of the corner of the box.
Any help very appreciated !
Best regards & Healthy New Year !
Wolfgang
from node-red-contrib-face-recognition.
Just installed it on a Raspi 4 and it just worked !
Glad to hear that.
Now I am looking for a "face-blur" function. Is that already in the pipeline ?
Not within the scope of this repo, but there may be another other there
I am also looking for the coordinates (x,y) of the bounding boxes of the faces found in an image.
While I have not looked at the output of the code in quite a while, it just exports the data structure from face-api.js. So what ever info is available from that should be available in the output object.
You may have to have a read around over at the repo as I am no longer going to be actively maintaining the repo.
from node-red-contrib-face-recognition.
Related Issues (20)
- Node-Red crashes when injecting to the sample flow HOT 5
- UnhandledPromiseRejectionWarning - in newer tfjs version 1.7.2 HOT 4
- Can possible to recognition from own image HOT 1
- fresh install - no fonts on detection HOT 3
- Compatibility issue witn Node-Red V1.1.2 HOT 3
- Other msg value not sent over HOT 1
- Not really an issue. Questions... HOT 1
- bounding box coordinates HOT 3
- 😃 HOT 1
- Error to install HOT 6
- Image is not displaying through the image output node HOT 2
- Error to recognition HOT 5
- Can't install at Raspberry Pi 4 HOT 5
- Missing/Bad font on output image
- Canvas Install Errors HOT 18
- Text showing up as boxes on result image HOT 12
- Has anybody succeeded in installing on Raspberry PI? HOT 2
- How do you "see" who is whom in the pictures? HOT 3
- Canvas Install Errors on docker HOT 10
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