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