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I have one image named sample.jpg and it contains only one face. I detected and aligned the face using mtcnn and parameters you have mentioned here. Then I used insightface.model_zoo.ArcFaceONNX to get the aligned face's embedding. Then I used insightface.app.face_analysis.FaceAnalysis (large model) to detect and get embedding of the sample.jpg image. But comparing two vectors results 0.9034 similarity and 0.1410 distance which should be 1 and 0.
Any idea?
Update:
I changed the alignment parameters to those in face_align.py in insightface package and got 0.9690 similarity and 0.0793 distance but they are not 1 and 0 yet. Is it normal? because detection models are different (MTCNN and SCRFD)?
The text was updated successfully, but these errors were encountered:
Hi,
I have one image named sample.jpg and it contains only one face. I detected and aligned the face using mtcnn and parameters you have mentioned here. Then I used
insightface.model_zoo.ArcFaceONNX
to get the aligned face's embedding. Then I usedinsightface.app.face_analysis.FaceAnalysis
(large model) to detect and get embedding of the sample.jpg image. But comparing two vectors results 0.9034 similarity and 0.1410 distance which should be 1 and 0.Any idea?
Update:
I changed the alignment parameters to those in face_align.py in insightface package and got 0.9690 similarity and 0.0793 distance but they are not 1 and 0 yet. Is it normal? because detection models are different (MTCNN and SCRFD)?
The text was updated successfully, but these errors were encountered: