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yolov3-pytorch's Introduction

yolov3-pytorch

YOLOV3 implementation in PyTorch. This repo borrows heavily from https://github.com/eriklindernoren/PyTorch-YOLOv3. Not really intended to be used for anything other than educational purposes.

How to use

detect.py:

from model.yolov3 import YOLOV3
from utils.general import read_cfg

im_to_detect = 'samples/street.jpg'

cfg = read_cfg('cfg/yolov3.cfg')
yolo = YOLOV3(cfg)

yolo.summary()
yolo.load_weights('weights/yolov3.weights')

dets = yolo.detect(im_to_detect, preview=True, save_img=True)

output:

street_detections.jpg

YOLOV3

Link to Author

@article{yolov3,
  title={YOLOv3: An Incremental Improvement},
  author={Redmon, Joseph and Farhadi, Ali},
  journal = {arXiv},
  year={2018}
}

yolov3-pytorch's People

Contributors

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