https://github.com/reshalfahsi/myqlanet

A Deep Learning Platform for Macula Detection
https://github.com/reshalfahsi/myqlanet

deep-learning ggb-color gui macula macula-detection medical-image-processing pyqt5 python pytorch

Last synced: 3 months ago
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A Deep Learning Platform for Macula Detection

• Host: GitHub
• URL: https://github.com/reshalfahsi/myqlanet
• Owner: reshalfahsi
• License: mit
• Created: 2020-04-20T07:38:07.000Z (about 6 years ago)
• Default Branch: master
• Last Pushed: 2021-01-09T17:05:31.000Z (over 5 years ago)
• Last Synced: 2025-12-05T01:41:52.384Z (7 months ago)
• Topics: deep-learning, ggb-color, gui, macula, macula-detection, medical-image-processing, pyqt5, python, pytorch
• Language: Jupyter Notebook
• Homepage:
• Size: 662 KB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
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# MyQLaNet



  



A Deep Learning Platform for Macula Detection.

It provides end to end system for macula detection with graphical user interface.

![alt text](resources/img/gui.jpg)

## Dependencies

* Ubuntu Linux (OS)

* PyQt5 (GUI)

* Python > 3.x (Programming Language)

* PyTorch (Machine Learning Framework)

* OpenCV and scikit-image (Computer Vision Framework)

## Installation

~~~

sudo apt install pyqt5-dev-tools

sudo pip3 install -r requirements.txt --no-cache-dir

python3 app.py

~~~

## Working with the Library

Instead of using GUI, you can code from the scratch:

```python

from myqlanet import *

# path to the important config file

dataset_path = '/path/to/dataset'

annotation_path = '/path/to/annotation'

weight_path = '/path/to/weight'

# create MyQLaNet model

model = MyQLaNet()

# create dataset

dataset = MaculaDataset(annotation_path, dataset_path)

# training time!

model.compile(dataset)

model.fit(weight_path)

```