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EMface: Detecting hard faces by exploring receptive field pyramids

This is an official Pytorch implementation of paper entitled "EMface: Detecting hard faces by exploring receptive field pyramids".

Requirement

Python 3.5

Pytorch 0.4+

opencv

numpy

Prepare data

download wider face dataset, and modify the datapath in data/config.py.

Train

python train_Res_RFP.py

Evaluation

download the pretrained model, and test on wider face.

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  • Python 100.0%