Name		Name	Last commit message	Last commit date
Latest commit History 10 Commits
.gitattributes		.gitattributes
G6_project_report.pdf		G6_project_report.pdf
InceptionResNetV2_glaucoma.ipynb		InceptionResNetV2_glaucoma.ipynb
README.md		README.md
app.py		app.py
flask_ngrok_web_app.ipynb		flask_ngrok_web_app.ipynb
raspberry_pi_noir_camera_stream.py		raspberry_pi_noir_camera_stream.py
requirements.txt		requirements.txt

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Glaucoma_Detection_Final_Year_Project

Link for PDF version of Final Report

Link for Dataset used

Link for Similar Setup Guide for AWS hosting

Run `InceptionResNetV2_glaucoma.ipynb` on `Google Colab` for Model Training, Testing and Storing Instance.

Run `app.py` to host Web-app on `AWS` and follow the guide mentioned in above link of other `readme.md` file

Run `flask_ngrok_web_app.ipynb` to host using `ngrok-server` on `Google Colab` (Register and Generate AuthToken from ngrok website before running file)

Use `raspberry_pi_noir_camera_stream.py` only if you have Raspberry Pi with camera then Run file and goto url: `http://<ip_address_of_rpi>:8000/`

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A Transfer Learning Based Web App for Glaucoma Detection Using Low-Cost Ophthalmoscopic Camera

raspberry-pi python3 flask-application kaggle-dataset ngrok-server noir-camera-v2 inception-resnet-v2 glaucoma-detection google-colaboratory tensorflow2

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