This is a simple and naive program for deep feature extraction and evaluating face verification performance on the LFW database, implemented by PyCaffe and Python.
I’ve provide a deep caffemodel and trainNet in the model folder, more detail can be found at [1]
For feature extraction, just run the follow command:
sh runExFea.sh
When feature extraction has done, run:
sh runROC.sh
for performance evaluation.
The implementation of testROC makes reference to [2], and extraction.py makes reference to the caffe documents.
[1] Deep Learning Face Representation by Joint Identification-Verification