BME 590 FINAL PROJECT: Image Processor

Author: Steven Hua, Angelina Liu, Haitong Tina Wang

Date: December 13, 2018

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This project is for BME 590 Medical Device Development class. The goal of this project is to build a user interface (front-end) and a server (back-end) RESTful API to allow user to upload an image, a list of image or a zip file of JPEG/JPG, Tiff and PNG format to a web-server to perform image-processing tasks on the web-server, then display and download the processed image.

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Linked to deployed web server: https://bmetester-484d1.firebaseapp.com/

1.1 Content

Files Required to run server.py

bme590final

  |___server.py

  |___image_processing.py 
  
  |___test_image_processing.py 

  |___server_setup.md

  |___validation.py

  |___test_validation.py 

  |___histogram.py 
  
  |___test_histogram.py 
  
  |___test_validation.py
  
  |___test_histogram.py  
  
  |___image_processing_gui (REACT)     
  
  |___.travis.yml
  
  |___README.md
  
  |___requirement.txt
  
  |___.gitignore
  
  |___test_histogram
  
  |___test_resource 

1.2 Demo Video

Link to demo video: https://www.youtube.com/watch?v=37om1fB5FFc&feature=youtu.be

1.3 Instruction To Use

1.3.1 Database and VCM deployment 

Please refer to server_setup.md for detailed instruction on how to deploy on local machine

1.3.2 REACT user interface

Please refer to image_processing_gui/README.md for detailed instruction on how to deploy on local machine

1.4 Individual Contribution and Break down

1.4.1 Angelina Liu 

      - all front end (react.js)
      
1.4.2 Tina Haitong Wang 

      - server
      - image processing
      - database 
      
1.4.3 Steven Hua 
    
      - validation
      - histogram 
      - unit testing 
      - sphinx 
      - all other assigned duties