
### 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}
}
```
{"language": ["en"], "license": "gpl-3.0", "library_name": "yolor", "tags": ["object-detection", "computer-vision", "yolor", "yolov4"], "datasets": ["detection-datasets/coco"], "pipeline_tag": "object-detection", "library_version": "0.0.3"}
yolor object-detection computer-vision yolov4 en dataset:detection-datasets/coco arxiv:2105.04206 license:gpl-3.0 has_space region:us
TAGS
#yolor #object-detection #computer-vision #yolov4 #en #dataset-detection-datasets/coco #arxiv-2105.04206 #license-gpl-3.0 #has_space #region-us 


### Model Description
YOLOR:  You Only Learn One Representation: Unified Network for Multiple Tasks.

YOLOR-Pip: Packaged version of the YOLOR repository

Paper Repo: Implementation of paper - YOLOR

### Installation


### Yolov6 Inference


### BibTeX Entry and Citation Info
 
### Model Description
YOLOR:  You Only Learn One Representation: Unified Network for Multiple Tasks.

YOLOR-Pip: Packaged version of the YOLOR repository

Paper Repo: Implementation of paper - YOLOR ### Installation ### Yolov6 Inference ### BibTeX Entry and Citation Info
TAGS
#yolor #object-detection #computer-vision #yolov4 #en #dataset-detection-datasets/coco #arxiv-2105.04206 #license-gpl-3.0 #has_space #region-us 
 ### Model Description
YOLOR:  You Only Learn One Representation: Unified Network for Multiple Tasks.

YOLOR-Pip: Packaged version of the YOLOR repository

Paper Repo: Implementation of paper - YOLOR ### Installation ### Yolov6 Inference ### BibTeX Entry and Citation Info
TAGS
#yolor #object-detection #computer-vision #yolov4 #en #dataset-detection-datasets/coco #arxiv-2105.04206 #license-gpl-3.0 #has_space #region-us 
### Model Description
YOLOR:  You Only Learn One Representation: Unified Network for Multiple Tasks.

YOLOR-Pip: Packaged version of the YOLOR repository

Paper Repo: Implementation of paper - YOLOR### Installation### Yolov6 Inference### BibTeX Entry and Citation Info