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GenderRecognition

Caffe Model to detect Gender

models folder contains

Models can be downloaded from here

  • age_gender_mean.t7
  • haarcascade_frontalface_default.xml
  • deploy_gender.prototxt
  • gender_net.caffemodel
  • mean.binaryproto

How to use

  • Caffe Installation here
  • Torch Installation with Luahere
  • Other installations (Run 'luarocks install dpnn', 'pip install lutorpy')
  • Download the trained model zip file from the link above and unzip the file
  • Put all the model files in folder 'models'
  • keep the codes and 'models' in the same location
  • Make sure Camera is connected as USBID is 0(default)
  • To check different implementation, run the following codes
    • python gender_demo_lua.py : Python wrapper to run Lua code, fastest code
    • th gender_demo_torch.lua : Lua code to detect gender, best accuracy
    • python gender_demo_caffe.py : Caffe code, slower

Lua implementation source :

https://github.com/szagoruyko/torch-opencv-demos/blob/master/age_gender/demo.lua

Caffe implementation source:

http://nbviewer.jupyter.org/url/www.openu.ac.il/home/hassner/projects/cnn_agegender/cnn_age_gender_demo.ipynb

References