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.
This is a tailored version for use of the SAS Viya DLModelZoo action set.
To install Yolov7-seg, use the following command:
pip install sas-yolov7-seg
We welcome your contributions! Please read CONTRIBUTING.md for details on how to submit contributions to this project.
This project is licensed under the GNU GENERAL PUBLIC LICENSE 3.0 License.
- 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/tree/u7