Ziyang Zhang

Hello, did you guys solve this problem? I've run the model with 100 epochs and the model cannot predict the relationships properly. The visualization results show all the relationships are...

> > > > Can you give me your contact information? We can discuss it. Email: [[email protected]](url) Thanks

> > > > Can you give me your contact information? We can discuss it. I've replied to your email, please note whether it is automatically classified as spam.

> I did almost the same ,and I have the same problem as yours.It seems that there's some problem with the code. I used [Wu's code](https://github.com/ShunChengWu/3DSSG) and successfully reproduced the...

> It is noticed that: even if I feed just one split of the scene into the network , it cannot fit very well , performing badly on both the...

> > > 我做了几乎相同的事情，我和你有同样的问题。代码似乎存在一些问题。 > > > > > > 我使用了[Wu的代码](https://github.com/ShunChengWu/3DSSG)并成功地复制了该模型。我用这项工作之一替换了吴的GCN，模型工作得很好。所以至少GCN部分是正确的。 > > Hello, how did you reproduce the model using wu's code? His SGFN model is an incremental version...

> 你好，我下载了预训练模型，并用其中的config_CVPR21.json作为配置文件，修改其中的"MODEL": "SGPN"；"label_file": "labels.instances.align.annotated.v2.ply"；"dataset_type": "SGPN"但是会报错，请问你具体是如何修改的呢？ Use SGFN and modify the network/config. I got problems on SGPN too.

> > > 你好，我下载了预训练模型，并用其中的config_CVPR21.json作为配置文件，修改其中的"MODEL": "SGPN"；"label_file": "labels.instances.align.annotated.v2.ply"；"dataset_type": "SGPN"但是会报错，请问你具体是如何修改的呢？ > > > > > > Use SGFN and modify the network/config. I got problems on SGPN too. > > 我使用了SGFN，但是将"label_file"修改为"labels.instances.align.annotated.v2.ply"还是会报错 Have you...

> > > > 你好！但我使用"label_file"："inseg.ply"代码运行没有错误，请问你运行的结果是基于"inseg.ply"还是"labels.instances.align.annotated.v2.ply"呢？ Based on `labels.instances.align.annotated.v2.ply`.

> When you try loading a pretrained model and generating visualized results on validation set : remove model.eval() in file "train.py",function "train".Maybe you will find everything all right.（在train.py里面，模型load进来之后，不要model.eval()，就不会都是”none“，你们也可以试一下） I'm on...