Training semantic segmentation on grayscale image gives RGB-Triplet pixel label IDs error
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I am following the example under "Train a Semantic Segmentation Network" at https://www.mathworks.com/help/vision/ug/semantic-segmentation-examples.html#mw_c2dc3c5f-86f8-4835-be60-9799bfe66ced
However, I am trying to run the code on my set of images with are grayscale instead of rgb
I just tried
imageDir = fullfile(outputDir,'myImages');
labelDir = fullfile(outputDir,'myLabels');
imds = imageDatastore(imageDir);
classNames = ["objects","background"];
labelIDs = [255 0];
pxds = pixelLabelDatastore(labelDir,classNames,labelIDs);
I = read(imds);
C = read(pxds);
But that gives me this error:
Error using matlab.io.datastore.PixelLabelDatastore.label2cat (line
970)
Pixel label image has RGB-triplet pixel label IDs instead of scalar
pixel label IDs.
Error in matlab.io.datastore.PixelLabelDatastore/label2categorical
(line 878)
L =
matlab.io.datastore.PixelLabelDatastore.label2cat(...
Error in matlab.io.datastore.PixelLabelDatastore/read (line 459)
C = this.label2categorical(C, info);
Error in
C = read(pxds);
Why is this?
0 个评论
回答(1 个)
Alexandre Broc
2019-7-15
Hi, did you find an answer ?
I got the same problem
3 个评论
yuwen liu
2020-2-27
Hi, did you find an answer ?
I got the same problem.
My label images were RGB.But when I ran "[net, info] = trainNetwork(pximds,lgraph,options); ",
I had the error
wrong use trainNetwork (line 165)
Pixel label image has RGB-triplet pixel label
IDs instead of scalar pixel label IDs.
另请参阅
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