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13.0 5.0 1.0 7.28 MB

Python 28.47% Shell 0.01% C 0.17% Cuda 0.22% C++ 0.12% Jupyter Notebook 71.00%
building-extraction deep-learning pytorch ndsm high-resolution-rs-image attention-mechanism hnn weight-mapping instance-segmentation watershed-algorithm

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building-extraction's Issues

后处理

您好,我想问一下您文章中提到的基于分水岭的后处理方法是怎么做的呢?看您的代码中似乎并没有用到这个方法?可以提供相关代码参考嘛?非常感谢

kaggle上的notebook的问题。

Hi bro,

您的kaggle上的notebook在kaggle上运行不了,总是无法下载模型,我把您kaggle上的notebook复制到谷歌的colab上跑,可以正常跑,但是跑一百个epoch之后得到的模型,把用于训练的图像弄进去进行预测,总是得不到建筑类型,请问是什么问题?

期待您的回复,

谢谢!
zhen

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