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All Projects → hizhangp → triplet

hizhangp / triplet

Licence: MIT license
Re-implementation of tripletloss function in FaceNet

Programming Languages

python
139335 projects - #7 most used programming language

Labels

caffetriplet-losstriplet

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Triplet

This is the re-implementation of triplet loss function in Google's FaceNet paper.

Dataset

FaceScrub is used as traning dataset, you should modify sampledata.py to fit your dataset.

Setup

Rebuild your caffe directory:

cd $CAFFEROOT$
cp Makefile.configexample Makefile.config

Remember to uncomment the line to makesure your python layers could be found:

WITH_PYTHON_LAYER := 1

Then build caffe and pycaffe:

make all -j8 & make pycaffe

Usage

  1. Modify sampledata.py, config.py and train.py to fit your dataset and working environment.

  2. Pre-train your model with softmax loss.

  3. Finetune triplet model based on your pre-trained model.

  4. Learn to adjust parameters.

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