- Nguyen Hoang An - 18520430@gm.uit.edu.vn
- Nguyen Huynh Anh - 18520456@gm.uit.edu.vn
- Duong Trong Van - 18521630@gm.uit.edu.vn
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This project is on the field of Computer Vision, an sub-domain of Computer Science. On this project, we build our image retriveval system based on the famous paper public in ICCV 2017: Large-Scale Image Retrieval with Attentive Deep Local Features.
Evaluation our system by Average Precision and Mean Average Precision
Futhermore, we use Flask - an web framework using for python to build our GUI
pip install -r requirements.txt
Our data is around 1300 landscape images of 20 class from Google Landmarks Dataset v2
Extract Database (if you update or create new database):
python extract.py
To run main code:
python server.py
* Serving Flask app "server" (lazy loading)
* Environment: production
WARNING: This is a development server. Do not use it in a production deployment.
Use a production WSGI server instead.
* Debug mode: off
INFO:werkzeug: * Running on http://127.0.0.1:5000/ (Press CTRL+C to quit)
Go to http://127.0.0.1:5000/
- Upload Image
- Process uploaded image
- Save Image to Database
- Interactive Web app
- Retrieve Image
- Average Precision and Mean Average Precision
- Optimize processing time