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How to implement 5-fold cross validation #12

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ahmedeqbal opened this issue Jul 30, 2020 · 3 comments
Closed

How to implement 5-fold cross validation #12

ahmedeqbal opened this issue Jul 30, 2020 · 3 comments

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@ahmedeqbal
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Hello Nabil,

I check your demo code, i want to to implement 5-fold cross validation in it, and i never found any help anywhere.

Please can you share how i can implement 5-fold cross validation on this code?

Thanks

@nibtehaz
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Owner

Hello, thank you for your interest in our multiresunet project. I am sorry for my delayed response as I have not been active lately.

To implement the 5 fold cross validation we used the standard scikit learn function, sklearn.model_selection.KFold.

Again I apologize for the delayed response.

@ahmedeqbal
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Dear Nabil,

i hope you are doing well.

Thanks for valuable information, it really help me.

i have one more question, To compare image ground truth, how i can draw Blue, Red and Gree line marker, which tool or script is used for this?

GTpng

i would really appreciate that if you can help in this regard.

@nibtehaz
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Owner

Sorry, I missed this comment. I just compute the edges of the segmentation mask and color them.

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