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The text was updated successfully, but these errors were encountered:
分割128线的点云应该是可以的,但是直接使用semantic kitti中训练的权重可能会有一定的性能下降。在c++中部署的话,需要使用libtorch来加载模型进行推理,同时将残差生成部分的python代码转成c++。
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实时运行过程中怎么生成残差图呢?
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The text was updated successfully, but these errors were encountered: