## Installations for running keras-theano on GPU
1. Upgrade pip and install opencv2
```
cd ~
pip install --upgrade pip
pip install opencv-python
```
2. Upgrade keras and set theano background
```
pip uninstall keras
pip install keras
vi ~/.keras/keras.json
  {
    "backend": "theano",
    "image_data_format": "channels_first",
    "floatx": "float32",
    "epsilon": 1e-07
  }
```
3. Upgrade theano
```
pip uninstall theano
pip install theano==1.0.1
```
4. Install pygpu which is necessary to run theano on GPU
```
git clone https://github.com/Theano/libgpuarray.git
cd libgpuarray
mkdir Build
cd Build
cmake .. -DCMAKE_BUILD_TYPE=Release
make
make install
cd ..
python3 setup.py build_ext -L /root/libgpuarray/lib -I /root/libgpuarray/include
python3 setup.py install
sudo ldconfig
```
5. Run python on a specific GPU
```
THEANO_FLAGS=device=cuda0 python3
```

## How to run the project
1. Download [challenging text line dataset](https://www.cs.bgu.ac.il/~berat/)

2. Preprocess
```
python3 preprocess.py
```
3. Train
```
THEANO_FLAGS=device=cuda0 python3
```
4. Predict
```
python3 SlidingPredictor.py
```
5. Postprocess
```
python3 directional_morphing.py
```