diabetic-retinopathy-website's Introduction

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

Usage

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)

CNN models

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.

To replicate CNN classification:

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.

Current Functionality

Upload multiple images.
View uploaded images in table.
Simple barchart of numbers of severities.
Individual inspection of each uploaded images.
Real-time classification with CNN models.

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diabetic-retinopathy-website's Issues

Real time classification

What is the timeline for the real time classification capability?

make kaggleDiabetes1

make kaggleDiabetes1

c++     kaggleDiabetes1.cpp   -o kaggleDiabetes1
Undefined symbols for architecture x86_64:
  "KDRTrainSet(std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char> >)", referenced from:
      _main in kaggleDiabetes1-bc6320.o
  "KDRSampleSet(std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char> >)", referenced from:
      _main in kaggleDiabetes1-bc6320.o

...

"vtable for OpenCVPicture", referenced from:
      OpenCVPicture::OpenCVPicture(OpenCVPicture const&) in kaggleDiabetes1-bc6320.o
  NOTE: a missing vtable usually means the first non-inline virtual member function has no definition.
  "vtable for Picture", referenced from:
      Picture::Picture(Picture const&) in kaggleDiabetes1-bc6320.o
  NOTE: a missing vtable usually means the first non-inline virtual member function has no definition.
ld: symbol(s) not found for architecture x86_64
clang: error: linker command failed with exit code 1 (use -v to see invocation)
make: *** [kaggleDiabetes1] Error 1

How can this be fixed?

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