文件列表:

center_loss.py (887, 2017-11-08)
main.py (5790, 2017-11-08)
models (0, 2017-11-08)
models\LeNet.py (1968, 2017-11-08)
models\__init__.py (36, 2017-11-08)
output (0, 2017-11-08)
output\center-test.gif (170047, 2017-11-08)
output\center-test.png (217400, 2017-11-08)
output\center-train.gif (203732, 2017-11-08)
output\center-train.png (223385, 2017-11-08)
output\curves.png (28652, 2017-11-08)
output\softmax-test.gif (156816, 2017-11-08)
output\softmax-test.png (240548, 2017-11-08)
output\softmax-train.gif (145503, 2017-11-08)
output\softmax-train.png (203066, 2017-11-08)
requirements.txt (35, 2017-11-08)
utils.py (2250, 2017-11-08)

# MxNet implementation of the paper: A Discriminative Feature Learning Approach for Deep Face Recognition ## Requirements ``` pip install -r requirements.txt ``` ## Training 1. Train with original softmax ``` $ python main.py --train --prefix=softmax ``` 2. Train with softmax + center loss ``` $ python main.py --train --center_loss --prefix=center-loss ``` ## Test 1. Test with original softmax ``` $ python main.py --test --prefix=softmax ``` 2. Test with softmax + center loss ``` $ python main.py --test --prefix=center-loss ``` ## Image Comparison Accuracy curve: ### Softmax Training: Testing: ### Softmax + Center Loss Training: Testing:

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