sassoftware/yolov7

Implementation of paper YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors. Tailored for DLModelZoo action.

Yolov7

Overview

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

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

Installation

To install YOLOv7, use the following command:

pip install sas-yolov7

Contributing

We welcome your contributions! Please read 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.

Additional Resources

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