No pixel label data found - using the pixelLabelTrainingData function...
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Hello!
I am working an image semantic segmentation project; I am using the pixelLabelTrainingData function to generate two datastores - one image datastore and the second a pixel datastore.
These are the steps I'm taking:
- Using the Image Labeler app to manually define pixel labels on a few images; output from this step is a gTruth object
- Use the gTruth object as input into pixelLabelTrainingData; output are two datastores - imds and pxdsTruth
- Here I will partition data, then create, train network.
BUT - I am stuck at step 2!
Error using pixelLabelTrainingData>sampleDataSource (line 175)
No pixel label data found in any of the input ground truth objects.
Error in pixelLabelTrainingData (line 124)
sampleIndices = sampleDataSource(gTruth, labelDefs, samplingFactor);
Attached is the gTruth object I am using.... any help would be greatly appreciated!!
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Walter Roberson
2021년 12월 24일
My guess would be that at line 175 of pixelLabelTrainingData that there is a call to Error() that should have been a call to error()
The error that it is trying to show would be
No pixel label data found in any of the input ground truth objects.
and the corrected line would be
error(message('vision:pixelLabelTrainingData:NoPixelLabelsInGroundTruth'));
This is line 193 for R2021b but could well be earlier for your R2020a.
답변 (3개)
Chong Kian Chee
2022년 1월 5일
편집: Chong Kian Chee
2022년 1월 9일
Hi, may I know if the issue is resolved? I am facing the same issue here!
%%%Updated on 8 January 2022%%
I hope this is stil helpful, the problem is due to the rectangle ROI which does not have PixelLabelID. This might due to the non-pixel labelling ROI that you had used to label ur dataset in the ImageLabeller. To convert this rectangle ROI into a pixel label with a pixel ID, refer to the link below:
https://www.mathworks.com/help/vision/ug/label-objects-using-polygons.html
Hope this resolve your issue , cheers :)
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Jose Agustin Barrachina
2022년 4월 28일
Same issue here... Any insight? What is exactly the issue? My LabelData looks like the attached image. I only labeled one of the 3 images (because I only care about that one). Is that the issue?
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