yongliu20 / gsfm Goto Github PK

你好，我非常欣赏你的工作，但是当我对你的工作进行复现实验的时候出现了以下问题，希望你能帮我解决。
参数配置：
RTX3090;
torch 1.11.0;
stage3参数改动（因为是单卡，所以将iterations延长）

在加载模型时由于torch版本问题
torch._C._LinAlgError: cusolver error: CUSOLVER_STATUS_EXECUTION_FAILED, when calling cusolverDnXgeqrf( handle, params, m, n, CUDA_R_32F, reinterpret_cast<void*>(A), lda, CUDA_R_32F, reinterpret_cast<void*>(tau), CUDA_R_32F, reinterpret_cast<void*>(bufferOnDevice), workspaceInBytesOnDevice, reinterpret_cast<void*>(bufferOnHost), workspaceInBytesOnHost, info). This error may appear if the input matrix contains NaN.
对代码进行改动为

将矩阵的正交初始化移到cpu上计算然后上传到gpu上，其他没有改动。

stage3训练时刚开始的loss下降正常，但是iteration迭代次数过多时所有的Loss均将为Nan,并且将10000iteration的权重进行推理时，且没有分割结果。

Hi there,
I am reading your paper recently, the core-designed module LFM really sheds some light on this field!
And I am also interested in your analysis of the problem, especially the way you compare your GSFM with other SOTA, as shown in figure 1.
Could you teach me how to make such an Illustration? How to find the matched pixels according to the query pixel?
Best Regard!!!

Hi ! Thank you for your excellent work. It‘s really helpful for my research work.
Could you share the model parameter file(.pth) or the segment results of GSFM?
I would like to perform visual comparisons with GSFM in my paper.
Please accept my apologies if there was any inconvenience. ^ ^
Best Wishes!

您好！ 感谢您这项出色的工作，请问您方便将图1的生成代码开源吗？ 如有打扰，还请见谅！

您好，麻烦问下您的模型大概有多少MB呢？