YOLO object detection using OpenCV

Object detection using YOLO

YOLO V3

For this project YOLO V3 object descriptor has been used (particularly YOLO trained on the COCO dataset).

The COCO dataset consists of 80 labels, full list of classes that can be detected are obtained using this link.

Pre- trained model files for YOLO V3 dectector has been used from Darknet team.

Dependencies

• Python Version: 3.8.8
• Numpy: 1.19.2
• OpenCV: 3.4.16.59

Object Detection in Images

To Run the project

• python yolo_od.py [-h] [-c CONFIDENCE] [-t THRESHOLD] image_files [image_files ...]

Screenshot

Object Detection in Videos

To Run the project

• yolo_video.py [-h] [--video VIDEO]

Screenshot