Parallelized-Image-Search-Engine

Final Version of Spring Semester (2020-2021) Project in the Course - High Performance Computing (Team Tech Phoenix)

Image retrieval in itself is a strenuous task. In recent years, there has been a rapid exponential leap in the growth of multimedia databases - chiefly those that are maintained and operated by web-search engine giants such as Google, Yahoo, Bing, etc. Furthermore, millions of images are published to various social networking platforms on a daily basis and it is extremely taxing to even get started on searching for a relevant image from these massive global archives.

To that end, the work presented herein is carried out with the goal of automating the process by enhancing the underlying methodologies, making them as efficient and lightweight as possible subject to the fundamental concepts of High-Performance Computing.

Dataset: ImageNet LSVRC 2012 Validation Set (Object Detection)

Deployment (on Windows)

Download Project Code

git clone https://github.com/tanvipenumudy/Parallelized-Image-Search-Engine.git

Deploy Virtual Environment (optional)

python -m venv project_env
project_env\Scripts\activate.bat

WSL Ubuntu

wsl

Install Requirements (WSL Ubuntu)

pip3 install -r requirements.txt

Run Flask Application

python3 directory\offline.py
python3 directory\server.py