Metadata-Version: 2.4
Name: sas-yolov7-seg
Version: 1.0.5
Summary: SAS YOLOv7 Seg
Home-page: https://github.com/sassoftware/yolov7-seg/
Author: SAS
Author-email: support@sas.com
License: GNU GENERAL PUBLIC LICENSE 3.0
Classifier: Development Status :: 5 - Production/Stable
Classifier: Environment :: Console
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Scientific/Engineering
Description-Content-Type: text/markdown
License-File: LICENSE.md
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: license
Dynamic: license-file
Dynamic: summary

# Yolov7-seg

This python package is an implementation of "YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors".

This implementation is based on [yolov5](https://github.com/ultralytics/yolov5).

This is a tailored version for use of the SAS Viya DLModelZoo action set.


### Installation

To install Yolov7-seg, use the following command:

`pip install sas-yolov7-seg`

## Contributing

We welcome your contributions! Please read [CONTRIBUTING.md](CONTRIBUTING.md) for details on how to submit contributions to this project. 

## License

This project is licensed under the [GNU GENERAL PUBLIC LICENSE 3.0 License](LICENSE.md).

## Additional Resources

* [https://github.com/AlexeyAB/darknet](https://github.com/AlexeyAB/darknet)
* [https://github.com/WongKinYiu/yolor](https://github.com/WongKinYiu/yolor)
* [https://github.com/WongKinYiu/PyTorch_YOLOv4](https://github.com/WongKinYiu/PyTorch_YOLOv4)
* [https://github.com/WongKinYiu/ScaledYOLOv4](https://github.com/WongKinYiu/ScaledYOLOv4)
* [https://github.com/Megvii-BaseDetection/YOLOX](https://github.com/Megvii-BaseDetection/YOLOX)
* [https://github.com/ultralytics/yolov3](https://github.com/ultralytics/yolov3)
* [https://github.com/ultralytics/yolov5](https://github.com/ultralytics/yolov5)
* [https://github.com/DingXiaoH/RepVGG](https://github.com/DingXiaoH/RepVGG)
* [https://github.com/JUGGHM/OREPA_CVPR2022](https://github.com/JUGGHM/OREPA_CVPR2022)
* [https://github.com/TexasInstruments/edgeai-yolov5/tree/yolo-pose](https://github.com/TexasInstruments/edgeai-yolov5/tree/yolo-pose)
* [https://github.com/WongKinYiu/yolov7/tree/u7](https://github.com/WongKinYiu/yolov7/tree/u7)

