yolov7_d2
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Training Contribution
If you have spare GPU or spare time, please help YOLOv7 training models! Currently we are planned to train models on:
- YOLOX with Keypoints head;
- YOLOv7 with NASVit as backbone;
If you want contribute, please leave a message below. I'll guide you how to train.
我有两张空闲的1080ti,您要是有需要,我可以试着去训练
@PeterSmith1 我们可以在这个thread跟进,协同起一波训练任务:https://github.com/jinfagang/yolov7/discussions/46
你好, 我领第二项ViDet 或者和SwinTrans2相关的
@shoujilywork Hi, thanks for contribution, if you wanna track on ViDet, you can following this steps:
- Create a dicussion issue to track ViDet training thread;
- fork this repo, and adding ViDet related model code and PR, I will guid you how to train and modify.
I think ViDet can be adopt from official repo, but we can test it on a more wide backbone range in yolov7 framework.