hebrew_word_spotting_using_siamese_network

Installations for running keras-tensoflow on GPU

1. Upgrade pip and install opencv2

cd ~
pip install --upgrade pip
pip install opencv-python

2. Upgrade keras and set tensorflow background

pip uninstall keras
pip install keras==2.1.2
pip uninstall python-dateutil
pip install python-dateutil
vi ~/.keras/keras.json
  {
    "backend": "tensorflow",
    "image_data_format": "channels_last",
    "floatx": "float32",
    "epsilon": 1e-07
  }

3. Uninstall tensorflow and install tensorflow-gpu which is necessary to run on GPU

pip uninstall tensorflow
pip install tensorflow-gpu==1.2

5. Run python on a specific GPU

import os
os.environ["CUDA_VISIBLE_DEVICES"]="2"

How to run the project

1. Download the Pinkas dataset
2. Balance train set at 30 samples

python3 balance_train.ipynb

2. Train siamese network on 100 same pairs and 100 different pairs from each class

pinkas_siamese_random_pairs.ipynb

3. Train siamese network on hard pairs

pinkas_siamese_hard_pairs.ipynb