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About pretrained model #8

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huangqianfirst opened this issue Dec 5, 2018 · 14 comments
Open

About pretrained model #8

huangqianfirst opened this issue Dec 5, 2018 · 14 comments

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@huangqianfirst
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Could you please update the complete pretrained model. I've test the corase model.The result is not good.
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Thank you very much.

@UPML
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UPML commented Dec 5, 2018

+1
I have the same results with pretrained model.
And also what about dark areas at generated images?
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@avalonstrel
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Thanks, the model is trained before the model structure changed, so I will retrain a model using the current script.

@UPML
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UPML commented Dec 6, 2018

Ok, thanks. How much GPU time do you spent on training?

@an1018
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an1018 commented Dec 11, 2018

@avalonstrel I use the TensorFlow version and alsoencountered this problem.Have you solve this problem,and what do you think causes the result?

@zhangbaijin
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why i download the pretrained models, but it is broken?? and i can not open it ?

@huangqianfirst
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huangqianfirst commented Apr 1, 2019

I have trained 'Free_from Image Inpainting with Gated Convolution' from scratch ,here is my result
https://github.com/huangqianfirst/Free_from-Image-Inpainting-with-Gated-Convolution

@sporterman
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@huangqianfirst how did you create mask file while training?

@janzd
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janzd commented Apr 6, 2019

@huangqianfirst Did you use the implementation in this repository? If yes, what settings did you use to be able to produce such good results as you show?

@huangqianfirst
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huangqianfirst commented Apr 8, 2019

@kurapan .No ,i implemente by myself based DeepFillv1 (https://github.com/JiahuiYu/generative_inpainting).

@huangqianfirst
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@sporterman .You can get the advice about how to create mask from here:JiahuiYu/generative_inpainting#62.

@DongHwanJang
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@huangqianfirst Is that a valid set result? and also do have any idea to open the implementation?

@huangqianfirst
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@DongHwanJang . 1. It's test results. 2. Not yet.

@DongHwanJang
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@huangqianfirst how long did it take to train?

@huangqianfirst
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@DongHwanJang . About five days using Titan X, one GPU.

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