AlexeyAB/yolo2_light
Light version of convolutional neural network Yolo v3 & v2 for objects detection with a minimum of dependencies (INT8-inference, BIT1-XNOR-inference)
This tool helps developers and researchers quickly identify multiple objects within images or video streams. You input an image or video, and it outputs bounding boxes around detected objects along with their labels. It's designed for those who need fast, efficient object detection capabilities in their applications.
306 stars. No commits in the last 6 months.
Use this if you need to integrate a lightweight, fast object detection system into your software on either Windows or Linux, even with limited computational resources.
Not ideal if you require the absolute highest detection accuracy from the latest, larger models, as this version prioritizes speed and efficiency over peak performance.
Stars
306
Forks
117
Language
C
License
MIT
Category
Last pushed
Aug 29, 2019
Commits (30d)
0
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