miladlink/TinyYoloV2
Pytorch Tiny YoloV2 implementation from scratch
This project helps computer vision engineers and researchers quickly implement a basic, real-time object detection system. It takes an image as input and outputs identified objects within that image, marked with bounding boxes. This tool is ideal for those exploring fundamental object detection concepts or needing a very fast, albeit less precise, detection capability.
No commits in the last 6 months.
Use this if you need to perform real-time object detection on images and prioritize speed over perfect accuracy for tasks like basic surveillance or traffic monitoring.
Not ideal if you require highly accurate object detection with precise bounding boxes for critical applications like medical imaging or autonomous driving.
Stars
16
Forks
5
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Mar 06, 2022
Commits (30d)
0
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