Added Dockerfile and Docker running documentation

Dockerfile

@@ -0,0 +1,25 @@
+FROM tensorflow/tensorflow:1.7.0-gpu
+
+# Python version
+RUN python -v
+
+# Additional requirements from Tensorflow
+RUN apt-get update && apt-get install -y python3 python3-dev 
+
+# Clean up Python 3 install
+RUN curl -O https://bootstrap.pypa.io/get-pip.py && \
+    python3 get-pip.py && \
+    rm get-pip.py
+
+# Install tensorflow 1.7
+RUN pip3 install tensorflow-gpu==1.7.0 ipython notebook
+
+# Copy and install TF-CRNN
+ADD . /script
+WORKDIR /script
+RUN python3 setup.py install
+
+# Add an additional sources directory
+# You should normalize the filepath in your data 
+VOLUME /sources
+VOLUME /config

README.md

@@ -62,3 +62,39 @@ All dependencies should be installed if you run `python setup.py install` or use
 * `tqdm` for progress bars
 * `json`
 
+## Running with docker
+
+The `Dockerfile` in the root directory allows you to run the whole program as a Docker Nvidia Tensorflow GPU container. This is potentially helpful
+to deal with external dependencies like CUDA and the likes.
+
+You can follow installations processes here : 
+- docker-ce : [Ubuntu](https://docs.docker.com/install/linux/docker-ce/ubuntu/#os-requirements)
+- nvidia-docker : [Ubuntu](https://nvidia.github.io/nvidia-docker/)
+
+Once this is installed, we will need to build the image of the container by doing :
+
+```bash
+nvidia-docker build . --tag tf-crnn
+```
+
+Our container model is now named `tf-crnn`. We will be able to run it from `nvidia-docker run -it tf-crnn:latest bash` which will open a bash directory exactly where you are. Although, we recommend using 
+
+```bash
+nvidia-docker run -it -v /absolute/path/to/here/config:./config -v $INPUT_DATA:/sources  tf-crnn:latest bash
+```
+where `$INPUT_DATA` should be replaced by the directory where you have your training and testing data. This will get mounted on the `sources` folder. We propose to mount by default `./config` to the current `./config` directory. Path need to be absolute path. We also recommend to change 
+
+```javascript
+  //...
+  "output_model_dir" : "/.output/"
+```
+
+to 
+
+```javascript
+  //...
+  "output_model_dir" : "/config/output"
+```
+
+- **Do not forget** to rename your training and testing file path, as well as renaming the path to their image by `/sources/.../file{.png,.jpg}`
+- **Note :** if you are uncortable with bash, you can always replace bash by `ipython3 notebook`