Face_recognition: where did the value of 128 d dimensional array comes from ?
- face_recognition version: latest
- Python version:3.6
- Operating System: Ubuntu 20
i just wanna ask where did the value of 128 d dimensional array comes from ? is it the vector value from HOG feature descriptor or something else ? thank you in advance
farhanrbnn
>All comments
I think I can help with this since I worked with dlib before. The 128D vector is the outputted feature vector from a ResNet DNN. dlib has a Python API for it's C++ models that obscures the details of what's going on...
Follow this link to see an example of dlib's facial recognition. You'll see that anet_type is the DNN template that is later initialized as net and takes in the processed faces as a parameter. This then outputs the 128D vector called face_descriptors.
The specific model that's being used is the dlib_face_recognition_resnet_model_v1.
I hope this was helpful. Let me know if you have other questions or if I missed something.
392781
on 9 Aug 2020
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Most helpful comment
I think I can help with this since I worked with
dlibbefore. The 128D vector is the outputted feature vector from a ResNet DNN.dlibhas a Python API for it's C++ models that obscures the details of what's going on...Follow this link to see an example of
dlib's facial recognition. You'll see thatanet_typeis the DNN template that is later initialized asnetand takes in the processedfacesas a parameter. This then outputs the 128D vector calledface_descriptors.The specific model that's being used is the
dlib_face_recognition_resnet_model_v1.I hope this was helpful. Let me know if you have other questions or if I missed something.