Object detection using yolo-tiny model and opencv used as backend

Overview

Object detection

Algorithm used : Yolo algorithm

Backend : opencv

Library required:

  • opencv = 4.5.4-dev'

Quick Overview about structure

1) main.py

  • Loading model and user configurations
  • show detected objected

2) yolo.py

  • use opencv modules to detect objects from user given media(photo/video)
  • detection take place inside this file

3) config.json

  • user configuration are mentioned inside this file
  • for examples : input shapes and model parameters(weights file path , config file path etc) are added in config.json

How to use

  1. clone this directory

  2. use following command to run detection on your custom video

python main.py -c config.json -v <media_path>

Ex:

python main.py -c config.json -v car1.mp4

Results

detected_car1 detected_car2 detected_car3

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