HHLiufighting

> Thanks for your interest! > > You can run the entire pipeline with predict_mass.py. This will extract the thickness mask and then run the shape-aware model with it. >...

Thank you for your reply. I think you misunderstood me. I am talking about the 500K image and thickness mask pair made using the shapenet data set.  How to get...

> Unfortunately, I never released these. The main reason is that I simply don't think it was great work and I'm sure someone trying to recreate it in 2023 would...

Thank you very much for your patient answer. I think I still hope to refer to your training code. Can you please send it to me while you are busy?...

> Thank you very much for your patient answer. I think I still hope to refer to your training code. Can you please send it to me while you are...

Hi, I'm Liuhonghao. Thank you very much for your patient answer. I understand that the real thickness mask is obtained through the shapenet data set, and the ability to predict...

> Thanks, glad to hear there is interest. I haven't put that code up yet. If I don't do it by the end of next week can you send me...

> 谢谢您的答复！ 我近期又仔细看了一下您放上来的代码，发现代码一直在跑的是coarse阶段，是不是后面的细化阶段的代码是没有在发布的工程里面的呢，还是我得用别的指令去运行呢， 是不是提供了obj的意思就是基于初始化的3D先验进行texture的优化呢，第一阶段获得3d先验的运行代码是哪一部分呢 不太理解，请问你搞明白了吗

> 感谢您的回复！！！对我帮助很大。我在Linux上成功运行了您的代码，并且生成的图片的效果真的很棒。然而我发现在changlog中提到可以将模型导出成obj文件，但是在生成的结果好像没有发现，想问一下如果想导出的结果为obj，需要进行一些什么设置呢 你好 我想请教一个问题 为什么我运行5000轮之后 就会out of memory呢 此前都是13G左右 ，请问你训练的时候会有这个情况吗