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Faceboxes libtorch

This is unofficial implementation (inference only) of FaceBoxes: A CPU Real-time Face Detector with High Accuracy, in libtorch (pythorch C++ API). The original caffe implementation can be found here

Pretrained Model

Move anchor.pt and face.pt from this repo to /usr/models/

Demo

  • Download libtorch from pytroch.org extract and put it at /usr/lib/
  • cd faceboxes_libtorch/ && mkdir build
  • cd build && cmake -DCMAKE_PREFIX_PATH=/usr/lib/libtorch ..
  • make -j$(nproc)
  • put sample.jpg in build folder
  • run ./faceboxes result will be saved in build/result.jpg

Info

Tested on Ubuntu 20.04, libtorch 1.7.1 the weight is traced from the weight published here https://github.com/zisianw/FaceBoxes.PyTorch. So the performance is expected to be the same

Todo

  • Deploy on android
  • Use half-precision model
  • Libtorch