Check PyTorch model status for all YOLO methods (#945)

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Glenn Jocher 2023-02-13 15:08:08 +04:00 committed by GitHub
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@ -101,8 +101,8 @@ success = model.export(format="onnx") # 将模型导出为 ONNX 格式
我们仍在努力完善 YOLOv8 的几个部分!我们的目标是尽快完成这些工作,使 YOLOv8 的功能设置达到YOLOv5 的水平,包括对所有相同格式的导出和推理。我们还在写一篇 YOLOv8 的论文,一旦完成,我们将提交给 [arxiv.org](https://arxiv.org)。
- [ ] TensorFlow 导出
- [ ] DDP 恢复训练
- [x] TensorFlow 导出
- [x] DDP 恢复训练
- [ ] [arxiv.org](https://arxiv.org) 论文
</details>
@ -214,7 +214,7 @@ success = model.export(format="onnx") # 将模型导出为 ONNX 格式
## <div align="center">联系我们</div>
若发现 YOLOv8 的 Bug 或有功能需求,请访问 [GitHub 问题](https://github.com/ultralytics/ultralytics/issues)。如需专业支持,请 [联系我们](https://ultralytics.com/contact)
请访问 [GitHub Issues](https://github.com/ultralytics/ultralytics/issues) 或 [Ultralytics Community Forum](https://community.ultralytis.com) 以报告 YOLOv8 错误和请求功能
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