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face_classification by Paddle

model acc acc(offcial repo) acc(paper)
MiniXception 95.58% (MiniXception/best_model) 95% (gender_mini_XCEPTION.21-0.95.hdf5) 95%
SimpleCNN 95.76% (SimpleCNN/best_model) 94.88% (simple_CNN.81-0.96.hdf5) 96%

dataset

download imdb dataset (gender classification) from link and unzip it to dataset folder

tar -xf imdb_crop.tar

train

set images_path in line 33 of train.py and use follow script to start training

python3 train.py

eval

set images_path and 'model_path' in line 28 and 29 of eval.py and use follow script to start eval

python3 eval.py

demo

set gender_model_path in line 64 of demo.py and use follow script to start eval

python3 demo.py

sample

demo img

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