Comments (4)
The Python version we provide is for demonstration purposes only. If you intend to conduct experiments with it, you will need to refer to the C++ code for additional implementation. The issue you mentioned likely occurs when there is a high inlier ratio in the input matches. In such cases, it is necessary to reduce the compatibility graph (line 1065-1228 in Linux/registration.cpp)
from 3d-registration-with-maximal-cliques.
The Python version we provide is for demonstration purposes only. If you intend to conduct experiments with it, you will need to refer to the C++ code for additional implementation. The issue you mentioned likely occurs when there is a high inlier ratio in the input matches. In such cases, it is necessary to reduce the compatibility graph (line 1065-1228 in Linux/registration.cpp)
Many thanks to your reply! We will try to conduct experiments on the c++ version. By the way, we are wondering how you record or compute the memory consumption in the Table 13 of your paper?
from 3d-registration-with-maximal-cliques.
Sorry to bother you again! But we find that the C++ version also runs out of memory when testing our generated 3DMatch(FPFH/FCGF/Geotransfoemer) and KITTI (FPFH) datasets with a 16GB RAM laptop. Is it a common problem?
from 3d-registration-with-maximal-cliques.
Sorry to bother you again! But we find that the C++ version also runs out of memory when testing our generated 3DMatch(FPFH/FCGF/Geotransfoemer) and KITTI (FPFH) datasets with a 16GB RAM laptop. Is it a common problem?
@bobby1125
Hello here i have some experience about this question.
In my personal experience Geotransformer needs at least 13GB GPU ram to support its program running on our computer.
hope my experience can help u!!
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Related Issues (20)
- error report in python version HOT 9
- How to run this code?
- Linux version compiling error HOT 14
- RE < 15 and TE < 30? HOT 1
- About U3M dataset HOT 4
- 数据集链接似乎失效了 HOT 2
- 请求提供更多的实验结果
- 请求提供geotransformer处理的3dmatch/3dlomatch数据集处理结果
- Parameter Conversion Errors: when Running C++ Code with igraph, PCL on Windows HOT 1
- 关于版本MSVC =2022 x64
- 您好,关于demo运行时间问题 HOT 1
- python调用c++版本mac出现segmentation falut
- 你好,关于在Linux中编译时igraph中出现了类型错误 HOT 4
- Problems with reproduction of registration results FPFH+MAC from the paper HOT 2
- 作者您好,我在结合FCGF和MAC在3DMatch数据集上测试了一下发现将体素大小设置为0.05的情况,部分最大团数量过多(2000万以上),这情况不知道您是否遇到,然后我将体素大小设为0.08,测试完和性能远不如原论文的性能,作者您当时是怎么解决这个问题的 HOT 7
- Wrong registration results. What can I do? HOT 3
- Graph Construction部分十分耗时 HOT 2
- 运行MAC的方式
- 请问python版本的和linux版本的性能一致吗? HOT 1
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