HAIS one point assigned to multiple instance proposals

[leimeng86]

Hello there,

As described in the original paper of HAIS, "one point is only clustered into a single instance in point aggregation, resulting no overlap among instance prediction."

However, during test, I found some points being assigned to multiple instances. For instance, I put an assert after outlier filtering and got an AssertionError as follows:

Look forward to your reply.

Regards

[meidachen]

Hi,

I have not looked into this issue and assumed that it will be a single instance for each point. I'm wondering have you tested it using ScanNetV2 or S3DIS and is the issue also there?

Thanks,

[leimeng86]

Sorry, I don't have ScanNet v2 or S3DIS. Can you try it out on your side to reproduce the issue?

Regards

[Greatest-Marx]

Hello there,

As described in the original paper of HAIS, "one point is only clustered into a single instance in point aggregation, resulting no overlap among instance prediction."

However, during test, I found some points being assigned to multiple instances. For instance, I put an assert after outlier filtering and got an AssertionError as follows:

Look forward to your reply.

Regards

你好！请问你已经成功复现STPLS3D在HAIS模型上的val和test了吗？我在验证集上进行评估的时候出现了报错”python: src/hierarchical_ageation/hierarchical_ageation.cu:156:void hierarchical_ageation_cuda(int, int, int ,int，float int, int,int ,int,float , int , int) :Assertion `primary_num <= MAX_PRIMARY_NUM' failed.已放弃(核心已转储)“，我试过将MAX_PRIMARY_NUM的值改到很大很大，但依然会存在这样的错误。想请问您是否遇到过呢

[1xdwww]

嗨，你好 正如HAIS的原始论文所描述的那样，“在点聚合中，一个点只聚类到一个实例中，导致实例预测之间没有重叠。 但是，在测试过程中，我发现一些点被分配给多个实例。例如，我在异常值过滤后放置了一个断言，并得到了一个 AssertionError，如下所示：

期待您的回复。 问候

你好！请问你已经成功复现STPLS3D在HAIS模型上的val和test了吗？我在验证集上进行评估的时候出现了报错“python： src/hierarchical_ageation/hierarchical_ageation.cu：156：void hierarchical_ageation_cuda（int， int， int ，int，float int， int，int ，int，float ， int ， int） ：Assertion 'primary_num <= MAX_PRIMARY_NUM' failed.已放弃（核心已转储）”，我试过将MAX_PRIMARY_NUM的值改到很大很大，但依然会存在这样的错误。想请问您是否遇到过呢

您好，这个问题，您解决了吗，我在验证集上进行评估的时候也出现相同错误。