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Training code #105
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Hi.I also need to train this network with a new training set. Don't know if you are successful?If you succeed, can you tell me how to do it?My email: liangdjsha@163.com,thank you! |
@zhuixunforever Hi, I want to know the "--train_data_file“,how to generate it in the repo https://github.com/jnulzl/PRNet? Can you give some tips? |
@zhuixunforever @WWWJL 您好,能否将您的训练代码发我一份,我刚学习深度学习,复现训练代码出现问题,非常感谢。邮箱:mqn20170910@163.com |
你好,我想问问你有没有用自己训练的模型生成.obj. 我用meshlab打开的face shape 和 纹理贴图不匹配。不知道为什么。还有你对数据集里面的.mat文件了解吗, 他如何和BFM模型生成uv_posmap的,和3DMM模型是什么关系。虽然可以通过作者提供的代码生成uv图,但是原理很模糊。 |
@zhuixunforever 非常感谢你的回复,我会试着用这个来训练模型。还有,你对mat文件里面的信息和bfm模型如何应用了解吗。我一直对生成uv图的这个过程比较困惑。这个3dMM模型和bfm模型是怎么用的。再次感谢你的帮助*-* |
@zhuixunforever 谢谢解惑啦,我先尝试进行训练,有问题再问你。谢谢谢谢 |
@zhuixunforever 你好,我是yexiaoxi01,在忙吗?之前请教你的那个问题,你推荐https://github.com/shen1994/DeepFaceRestruction 这个代码训练,我发现训练所有图像,很慢,大概需要近二十多天,还有就是,我如何通过训练好的模来设生成。obj文件,就像原作者那个run_basic.py. 我尝试好多修改,但是模型加载不出来,一直有问题。 |
您好! 請問paper內部提到的 "we use the parameterized UV coordinates which computes a Tutte embedding with conformal Laplacian weight and then maps the mesh boundary to a square" 有沒有詳細的code描述BFM_UV.mat是怎麼生成的? |
您好同学! 请问你有没有找到详细资料介绍BFM_UV.mat生成的? |
@zhao181 在3D morphable models as spatial transformer networks這篇paper的section2.3 output grid是此篇paper引用的原出處,可以看一下! 不過看過去也還是非常模糊啊!!!!! (可能背景知識還不足) 若有問題歡迎一起討論! 另外在此連結也有一些討論唷! 謝謝 |
谢谢 好的
On 11/21/2019 11:50,vitahsu<notifications@github.com> wrote:
@zhao181 在3D morphable models as spatial transformer networks這篇paper的section2.3 output grid是此篇paper引用的原出處,可以看一下! 不過看過去也還是非常模糊啊!!!!! (可能背景知識還不足) 若有問題歡迎一起討論! 另外在此連結也有一些討論唷! 謝謝
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@WWWJL |
Hi,as a newer to this, I failed to achieve the training code, could you please provide training code to me? I hope I can get your help, thank you very much. My email: m17864154809@163.com
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