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Anybody Is the label obtained by running brain_pipeline.py all black? #28

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tanggirltt opened this issue Apr 18, 2019 · 11 comments
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@tanggirltt
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After running brain_pipeline.py,I got the labels all black. I use BRATS 2015.Will the all-black label affect the subsequent model training?Thanks.

@tanggirltt tanggirltt changed the title Anybody Is the label obtained by running A all black? Anybody Is the label obtained by running brain_pipeline.py all black? Apr 18, 2019
@nagwa1
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nagwa1 commented Apr 20, 2019

yes it is black image

@jiqixuexiaihaozhe
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我没有下载下来2015年的数据,有谁能发一下直接下载的链接吗,跪求啊,毕业不了了

@tanggirltt
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tanggirltt commented Apr 27, 2019 via email

@tanggirltt
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tanggirltt commented Apr 27, 2019 via email

@jiqixuexiaihaozhe
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jiqixuexiaihaozhe commented Apr 27, 2019 via email

@tanggirltt
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tanggirltt commented Apr 27, 2019 via email

@jiqixuexiaihaozhe
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jiqixuexiaihaozhe commented Apr 27, 2019 via email

@tanggirltt
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tanggirltt commented Apr 27, 2019 via email

@sathickibrahims18
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Let me know, have a solution is figured out for this issue?

@ninjakx
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ninjakx commented Nov 15, 2019

@sathickibrahims18 it's actually pixel values are 0,1,2,3,4 for labels when you will do plt.imshow since the values are low and are close to zero they will give you output as black image. But you don't have to worry because patches will depend on the pixel value (0,1,2,3,4) so even if it's showing black, it won't create a problem. If you want to show then multiply all the numpy array value with 255/4.

@sathickibrahims18
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Thanks a lot, @ninjakx. It's really helpful.

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