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Imager-Object-Detection

Object Detection Application with a frontend built using ReactJS, backend built using Flask and Model is based on Tiny-Yolo v3.

The Application has 3 parts:

  • client
  • server
  • yolo model

Client

cd client
npm install
npm start

Server

cd server

virtaul environment

pip3 install virtualenv
python -m virtualenv venv 
venv/Scripts/activate
deactivate

To run Flask server:

pip install -r requirements.txt
flask run
$env:FLASK_ENV = "development"

Model

Pull the docker image from dockerhub

create a container:

docker run -p 8501:8501 \
--mount type=bind,source={source path to model},target=/models/yolo
-e MODEL_NAME=yolo -t tensorflow/serving &

the model will be running on http://localhost:8501/v1/models/yolo

imager-object-detection's People

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