Diabetic Retinopathy Website

A django-based website for displaying Diabetic Retinopathy Auto-Detection.

The website requires django being installed.

It aims to enable users to upload their own fundus photos to be classified by CNN models.
However, this website does not link to any CNN.
Data in server has been generated by the first place team of Kaggle Diabetic Retinopathy competition

Download the website directory.
Install django by opening the terminal and entering the following command:
```
pip install django
```
Change to the website directory.
Execute:
```
python manage.py runserver
```

And you will see the website in browser with localhost:8000/diabetics/ (by default)

Directory	Content
Model	Three trained CNN model files.
Data	Preprocessed 300x300 sample images.(Unpreprocessed are in deepsite/media)
Script	Preprocessing and model-averaging scripts.
CNN	Modified cnn codes for small sample testing.

Fork SparseConvNet, and switch to kaggle branch.

git clone https://github.com/btgraham/SparseConvNet.git
cd SparseConvNet
git checkout kaggle_Diabetic_Retinopathy_competition

Replace files with our modified files:
- Put files in Model into "kaggleDiabeticsRetinopathyModelfiles".
- Put files in website/media into "Data/kaggleDiabeticRetinopathy/sample/".
- Put files in Script into "Data/kaggleDiabeticRetinopathy/".
- Put codes in CNN into SparseConvNet directory.
In "Data/kaggleDiabeticRetinopathy/", execute:
```
./createSample.sh
python preprocessImages.py
```
In SparseConvNet/, execute:
```
make kaggleDiabetes1
./kaggleDiabetes1 
```
Then the classification result will be stored as csv file.