Open farhanrbnn opened 4 years ago
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.
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