DTUeval-python
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There is a big difference between mean_d2s and mean_s2d
Hello author, thank you for your great work! I would like to ask why my mean_d2s and mean_s2d are so different? Also, what happens when I get a visualize error here? Will it affect the final result? Looking forward to your reply!
Hi, the two metrics show your accuracy and completeness respectively. For example, if your result has a lot of holes, it will be revealed by the completeness score. Turning on visualization will not affect the result. From the visualization you can see which part of the point clouds produces large error.
Hi, the two metrics show your accuracy and completeness respectively. For example, if your result has a lot of holes, it will be revealed by the completeness score. Turning on visualization will not affect the result. From the visualization you can see which part of the point clouds produces large error.
thank you for your reply! After I trained it with neus without mask, its completeness is quite high. But when I evaluate the CD distance, I need to clean it, which results in it being incomplete.
before:
clean_mesh:
This will affect its completeness rating, right?
yes. you can also check the error visualization