Open nathan-m-schneider-22 opened 3 years ago
update: I tried to save feature data to a db from the camera to guarantee similarity between db data and camera input. However, the above problem persists
hi, I suspect that the model associated with that script is obsolete. You can try another model and I will look into it this weekend.
Thanks for the quick reply! I've actually fixed the problem myself by creating my own db out of features from the camera. My issue was that I saved the features without normalizing them. As such, the dot product in postprocessing-face_recognition was weighted arbitrarily towards certain faces. After collecting new face data and normalizing it, the output result looked less like
[[[5.13239309]]
[[5.13109348]]
[[5.30474482]]
[[5.53775566]]
[[5.09075269]]
[[5.30884969]]
[[5.03641731]]]
And mapped between 0 and 1.
[[0.94093935]]
[[0.96431198]]
[[0.97200852]]
I love this repo, so tomorrow I'll make a PR modifying utils/generate_db.py to make normalized data out of an image directory, along with README documentation to help new users build a db and recognize faces.
Thanks for the quick reply! I've actually fixed the problem myself by creating my own db out of features from the camera. My issue was that I saved the features without normalizing them. As such, the dot product in postprocessing-face_recognition was weighted arbitrarily towards certain faces. After collecting new face data and normalizing it, the output result looked less like
[[[5.13239309]] [[5.13109348]] [[5.30474482]] [[5.53775566]] [[5.09075269]] [[5.30884969]] [[5.03641731]]]
And mapped between 0 and 1.
[[0.94093935]] [[0.96431198]] [[0.97200852]]
I love this repo, so tomorrow I'll make a PR modifying utils/generate_db.py to make normalized data out of an image directory, along with README documentation to help new users build a db and recognize faces.
That would be awesome! I will also make an interactive tool for users to record the face. Thank you so much!
PR + docs ready, need permissions for nathan-m-schneider-22 to make a PR
PR + docs ready, need permissions for nathan-m-schneider-22 to make a PR
Hi I have enabled the PR can you please try one more time and let me know?
remote: Permission to zye1996/Mobilefacenet-TF2-coral_tpu.git denied to nathan-m-schneider-22.
fatal: unable to access 'https://github.com/zye1996/Mobilefacenet-TF2-coral_tpu.git/': The requested URL returned error: 403
remote: Permission to zye1996/Mobilefacenet-TF2-coral_tpu.git denied to nathan-m-schneider-22. fatal: unable to access 'https://github.com/zye1996/Mobilefacenet-TF2-coral_tpu.git/': The requested URL returned error: 403
Hi did you make modification on a forked repo or you cloned the repo and modify? Probably you need take the first approach
Cloned, branched, edited, pushed upstream branch
Cloned, branched, edited, pushed upstream branch
To make a pull request you have to fork the repo first and modify the forked version, otherwise, Github will reject it.
After successfully running utils/generate_db.py on several different faces (.jpg images 96x112, all different people) and using that db for inference_video, I'm still having trouble differentiating the faces. I tried to keep each face in the same format as the examples in /image, however, all the faces are assigned the same label.
After the dot product in postprocessing face_recognition, the result is typically around
with index 3 always chosen as the argmax, and that label is always assigned. db.npy.zip
My main question is: what format should the images be in for the model to successfully differentiate faces / is there a different way to differentiate faces outside of the db method?