项目作者: prabormukherjee

项目描述 :
Modifying pretrained yolo v3
高级语言: C
项目地址: git://github.com/prabormukherjee/Yolo_v3.git
创建时间: 2020-08-04T07:57:00Z
项目社区:https://github.com/prabormukherjee/Yolo_v3

开源协议:

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Yolo_v3

This is the repo where I have modified the famous Yolo v3 algorithm. Here I have implemented the feature to run the video and save them with label. Here the the guide to use this
How to use:

  • fork the repo first
  • take a look at the folder structure,
  • move all the files into the darknet folder (this is important to run the codes)
  • now open a terminal in the darknet folder
  • to run the default model: darknet detector demo cfg/coco.data cfg/yolov3-tiny.cfg yolov3-tiny.weights Driving-Chinatown-SF.mp4
  • to run the modified version: python3 yolo.py -w=yolov3-tiny.weights cfg=cfg/yolov3-tiny.cfg -v=MArket\ Street.mp4 -l=data/coco.names

After tis hopefully it will run the code, with the saved label. The parameter used in the yolo.py is self-explanatory
If you have isssues like weights not found, please make sure to dowmloads the weights also, as I weight is not present in this repo.
Also you can checkout their original site here YOLO
See their original repo here Github