cornernet: detecting objects as paired keypoints
时间: 2023-04-21 16:00:33 浏览: 92
Cornernet是一种目标检测算法,它将目标检测问题转化为关键点检测问题。它通过检测物体的关键点来确定物体的位置和大小,从而实现目标检测。Cornernet算法的特点是能够检测出物体的配对关键点,从而提高检测的准确性和稳定性。
相关问题
超高分辨率图像目标检测的相关参考文献
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5. Law, H., & Deng, J. (2018). Cornernet: Detecting objects as paired keypoints. In Proceedings of the European Conference on Computer Vision (ECCV) (pp. 734-750).
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8. Law, H., & Deng, J. (2018). CornerNet-Lite: Efficient Keypoint-Based Object Detection. arXiv preprint arXiv:1904.08900.
ModuleNotFoundError: No module named 'Detecting_phase'
这个错误表示在你的代码中尝试导入名为 'Detecting_phase' 的模块时失败了。请确保你已正确安装了该模块,并且模块的名称拼写无误。你可以使用以下命令来安装该模块:
```shell
pip install Detecting_phase
```
如果你已经安装了该模块,可能是因为它没有被正确导入到你的代码中。请确保在代码中使用了正确的导入语句,例如:
```python
from Detecting_phase import some_function
```
如果你仍然遇到问题,请提供更多关于你的代码和错误信息的详细信息,以便我能够更好地帮助你解决问题。