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Synthetic models #1

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xwasco opened this issue Mar 1, 2020 · 8 comments
Open

Synthetic models #1

xwasco opened this issue Mar 1, 2020 · 8 comments

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@xwasco
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xwasco commented Mar 1, 2020

Dear @danini, thanks for your awesome work :)

I am trying your code and I wonder if you can also add the functions to reproduce Figure 4 of your paper.

Thanks!

Best regards

@danini
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danini commented Mar 1, 2020

Dear @xwasco ,

Thanks :) I can, but I will most likely not have time to do that before ECCV deadline. After that, I certainly will.

Best,
Daniel

@xwasco
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xwasco commented Mar 1, 2020 via email

@ThoMut
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ThoMut commented Sep 17, 2020

Hello @danini

I also would be interested in code reproducing Figure 4 of your paper.
I hope you find some time to add the functions.

greetings, Thomas

@xwasco
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xwasco commented Oct 6, 2020

Still interested too

best

Seba

@gabriel-h-ribeiro
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Hi, @danini!

Hope this message finds you well. I was reading your article and I was impressed by your algorithm. I noticed that you generated some examples of synthetic models (Figure 4), but I couldn't reproduce it with the code that is in the repository...

Could you provide me with the code snippet please? If possible, could you send me the link to the specific file on Github?

Thanks in advance for your help and willingness to share your knowledge with me. It will be of great help for my learning.

Yours sincerely.

@danini
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danini commented May 3, 2023

Yeah, I didn't add multi-line fitting to the repository. I will upload it later this week.

@Tigores
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Tigores commented May 9, 2023

Dear @danini ,

Looking forward to your multi-line fitting example!!!

@danini
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danini commented Jul 18, 2023

I added multi-line fitting here: https://github.com/danini/progressive-x/blob/master/examples/example_multi_lines.ipynb
I haven't performed any parameter tuning on line fitting problems, so the results probably are suboptimal.

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5 participants