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README.md
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---
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license: gpl-3.0
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---
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---
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license: gpl-3.0
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tags:
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- object-detection
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- computer-vision
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- yolor
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- yolov4
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datasets:
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- detection-datasets/coco
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language:
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- en
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pipeline_tag: object-detection
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library_name: yolor
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library_version: 0.2.3
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---
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### Model Description
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[YOLOR:](https://arxiv.org/abs/2105.04206) You Only Learn One Representation: Unified Network for Multiple Tasks.
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[YOLOR-Pip:](https://github.com/kadirnar/yolor-pip/) Packaged version of the YOLOR repository
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[Paper Repo:](https://github.com/WongKinYiu/yolor/) Implementation of paper - YOLOR
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### Installation
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```
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pip install yolor
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```
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### Yolov6 Inference
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```python
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from yolor.helpers import Yolor
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model = Yolor(cfg='yolor/cfg/yolor_p6.cfg', weights='kadirnar/yolor-p6', imgsz=640, device='cuda:0')
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model.classes = None
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model.conf = 0.25
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model.iou_ = 0.45
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model.show = False
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model.save = True
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model.predict('yolor/data/highway.jpg')
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```
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### BibTeX Entry and Citation Info
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```
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@article{wang2021you,
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title={You Only Learn One Representation: Unified Network for Multiple Tasks},
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author={Wang, Chien-Yao and Yeh, I-Hau and Liao, Hong-Yuan Mark},
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journal={arXiv preprint arXiv:2105.04206},
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year={2021}
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}
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```
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