Comments (3)
Yes you can do this and it's not that difficult. You could e.g. add a button here which takes the detected face and saves it into a folder. You could also ask the user to input the name. What you then need to do is to update self.embeddings
in id_data
.
You're very welcome to do this and create a pull request. Otherwise I'll keep it in mind and implement it once I have time.
from facerecognition.
The main problem i am encountering is to update self.embeddings.
my process is this:
-
when unknow face detected, i pass the face_patches to a function x:
my fucntion x looks like this:
x(self, facepatches):self.embeddings = self.sess.run(self.embeddings, feed_dict=facepatches)
but it throws an error. how do I update my feed_dict?
from facerecognition.
The embeddings for the crops where already calculated which means that you don't need to do it again. However, if you want to you can look at how it's done here. After that you need to append the embeddings to self.embeddings
and append new ids to self.id_names
.
I just updated the code to do this. Just press "s" and it will ask you for an id and save the crop to the proper folder.
from facerecognition.
Related Issues (20)
- Memory lack! with Tensorflow oom on GPU HOT 1
- Wrong Recognition of Faces HOT 5
- Doesn't run on OSX Mojave 10.14.2 HOT 2
- Low FPS HOT 1
- No module name CV2 HOT 2
- Save and load embeddings HOT 2
- how to train pic to match face id and use mtcnn which features to detect HOT 6
- Add video source input
- Can we use for large scale Video Surveillance? HOT 1
- Recognize a person's profile HOT 8
- How to load model and images in this project HOT 2
- Remove padding HOT 1
- Dataset used to train mtcnn HOT 1
- What algorithm did you use in this project? HOT 13
- Where does code be used to recognition in file detect_facese_real_time.py ? HOT 1
- How to add UNknown label for untrained images HOT 10
- why the output name is ids folder? HOT 11
- Error Running Code
- Name not showing
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from facerecognition.