hizhangp / triplet

Re-implementation of tripletloss function in FaceNet

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.