ruiminshen/yolo2-pytorch
PyTorch implementation of the YOLO (You Only Look Once) v2
This project offers a fast and accurate way to identify and locate multiple objects within images or video feeds. It takes raw images or video as input and outputs bounding boxes around detected objects, along with their classifications. This is ideal for machine vision engineers or researchers developing automated visual inspection systems.
443 stars. No commits in the last 6 months.
Use this if you need to rapidly detect and classify objects in images or real-time video streams for applications like surveillance, autonomous vehicles, or quality control.
Not ideal if your primary goal is to train models with distributed computing across many machines or if you specifically require focal loss for your object detection tasks.
Stars
443
Forks
102
Language
Python
License
LGPL-3.0
Category
Last pushed
May 12, 2018
Commits (30d)
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