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yolor

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yolor

Packaged version of the Yolor repository

  • 0.0.6
  • PyPI
  • Socket score

Maintainers
1

Yolor-Pip: Packaged version of the Yolor repository

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downloads pypi version

Overview

This repo is a packaged version of the Yolor model.

Benchmark

ModelTest SizeAPtestAP50testAP75testbatch1 throughputbatch32 inference
YOLOR-CSP64052.8%71.2%57.6%106 fps3.2 ms
YOLOR-CSP-X64054.8%73.1%59.7%87 fps5.5 ms
YOLOR-P6128055.7%73.3%61.0%76 fps8.3 ms
YOLOR-W6128056.9%74.4%62.2%66 fps10.7 ms
YOLOR-E6128057.6%75.2%63.0%45 fps17.1 ms
YOLOR-D6128058.2%75.8%63.8%34 fps21.8 ms
YOLOv4-P589651.8%70.3%56.6%41 fps (old)-
YOLOv4-P6128054.5%72.6%59.8%30 fps (old)-
YOLOv4-P7153655.5%73.4%60.8%16 fps (old)-

Installation

pip install yolor

Yolov6 Inference

from yolor.helpers import Yolor

model = Yolor(cfg='yolor/cfg/yolor_p6.cfg', weights='yolor/yolor_p6.pt', imgsz=640, device='cuda:0')

model.classes = None
model.conf = 0.25
model.iou_ = 0.45
model.show = False
model.save = True

model.predict('yolor/data/highway.jpg')

Citation

@article{wang2021you,
  title={You Only Learn One Representation: Unified Network for Multiple Tasks},
  author={Wang, Chien-Yao and Yeh, I-Hau and Liao, Hong-Yuan Mark},
  journal={arXiv preprint arXiv:2105.04206},
  year={2021}
}

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