about the results of training
feidasheng opened this issue · 6 comments
feidasheng commented
I would like to ask if your code is about the generated result image. I trained only the .mat file according to your main file, and there is no specific visualization picture? such as your github image
Hans1984 commented
There is a simple visualization function in the test script which is implemented by matplotlib.
feidasheng commented
sorry，i do not find your test script, i only find demo ,main and tool python code, can you tell me where the script test , thank you very much !
…------------------ 原始邮件 ------------------
发件人: "Hans1984"<notifications@github.com>;
发送时间: 2020年1月17日(星期五) 下午2:48
收件人: "Yang7879/3D-RecGAN-extended"<3D-RecGAN-extended@noreply.github.com>;
抄送: "╭学絵パ紾悕"<1170776918@qq.com>; "Author"<author@noreply.github.com>;
主题: Re: [Yang7879/3D-RecGAN-extended] about the results of training (#13)
There is a simple visualization function in the test script which is implemented by matplotlib.
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Hans1984 commented
Here, https://github.com/Yang7879/3D-RecGAN-extended/blob/master/demo_3D-RecGAN%2B%2B.py
and you can use the visualize() function.
feidasheng commented
hello，this demo .py i run meet this problem "cannot feed value of shape (1,64,64,64,1) for tensor 'Placeholder:0',which has shape '(4,64,64,64.1)'" ,i find other people also meet this problem because i pip different tensorflow :1.13.1,you publish the version of tensorflow is too old , cannot match our cuda toolkit, you think how we can slove this problem? thank you very much!
…------------------ 原始邮件 ------------------
发件人: "Hans1984"<notifications@github.com>;
发送时间: 2020年1月17日(星期五) 下午3:19
收件人: "Yang7879/3D-RecGAN-extended"<3D-RecGAN-extended@noreply.github.com>;
抄送: "╭学絵パ紾悕"<1170776918@qq.com>; "Author"<author@noreply.github.com>;
主题: Re: [Yang7879/3D-RecGAN-extended] about the results of training (#13)
Here, https://github.com/Yang7879/3D-RecGAN-extended/blob/master/demo_3D-RecGAN%2B%2B.py
and you can use the visualize() function.
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Hans1984 commented
maybe you can degrade the version of tensoflow