File size: 1,181 Bytes
da18eef baa93a6 72c30eb da18eef baa93a6 72c30eb f302765 72c30eb baa93a6 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 |
---
license: gpl-3.0
tags:
- object-detection
- computer-vision
- yolor
- yolov4
datasets:
- detection-datasets/coco
language:
- en
pipeline_tag: object-detection
library_name: yolor
library_version: 0.0.3
---
### Model Description
[YOLOR:](https://arxiv.org/abs/2105.04206) You Only Learn One Representation: Unified Network for Multiple Tasks.
[YOLOR-Pip:](https://github.com/kadirnar/yolor-pip/) Packaged version of the YOLOR repository
[Paper Repo:](https://github.com/WongKinYiu/yolor/) Implementation of paper - YOLOR
### Installation
```
pip install yolor
```
### Yolov6 Inference
```python
from yolor.helpers import Yolor
model = Yolor(
cfg='yolor/cfg/yolor_p6.cfg',
weights='kadirnar/yolor-p6',
imgsz=640,
device='cuda:0',
hf_model=True
)
model.classes = None
model.conf = 0.25
model.iou_ = 0.45
model.show = False
model.save = True
model.predict('yolor/data/highway.jpg')
```
### BibTeX Entry and Citation Info
```
@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}
}
``` |