TF Web app

An object detection web app using TF(inference), React(frontend) and Flask(backend) that runs inference on camera feed. Based on this Medium article).

This app has been tested only for local deployment so far. It works but takes around 3s per detection on my system.

v0.1 notes:

• Originally, decided to try the tutorial since they had a working web app running on Heroku, which is what my end goal was. However, couldn't get it to work locally just from the post. Weirdly, it did work only after adding a GET request check - if anyone can explain that to me, would be nice 😓

Still need to learn how react and flask communicate, I think there was something wrong 
with the urls/requests, but no clue how to debug...

Getting started

Would be a good idea to create a virtual environment. I used conda for this containing Python 3.9 and Tensorflow 2.6.

The backend is handled by Python and the requirements are in backend folder

cd backend
pip install -r requirments.txt

Node handles frontend stuff and the requirements are in frontend folder

cd frontend
npm install

To run locally

cd frontend
npm run start:server-dev

Model

The model used is a Mobilenetv2 SSD trained on the COCO2017 dataset.