Error when using semanticseg on a imagedatastore

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Jingyang Zhao
Jingyang Zhao 2019-8-6
评论： Srivardhan Gadila 2019-8-21
This is the error information:
error using DAGNetwork/calculateActivations (line 23)
The input images for activations must be of size equal to or greater than [32 32 1].
error DAGNetwork/activationsSeries (line 239)
Y = this.calculateActivations(X, layerID, 1, varargin{:});
error SeriesNetwork/activations (line 673)
Y = this.UnderlyingDAGNetwork.activationsSeries(X, layerID, varargin{:});
error semanticseg>iClassifyImagePixels (line 441)
allScores = activations(net, X, params.PixelLayerID, ...
error semanticseg>iProcessImageDatastoreInParallel (line 713)
L = iClassifyImagePixels(X, net, params);
error semanticseg (line 209)
filenames = iProcessImageDatastoreInParallel(imds, net, params);
The code:
testdatastore=imageDatastore('parpath\');
%montage(testdatastore)
%Try to segment the test image.
tic
pxds = semanticseg(testdatastore,net,'ExecutionEnvironment',"cpu")
%C = semanticseg(Img,net,'ExecutionEnvironment',"cpu");
%B = labeloverlay(testImage,C);
%imshow(B)
pxdsC=="activated";
X=ans;
Num=size(regionprops(X,"BoundingBox"))
imshow(X)
t2=toc
However, when I use semanticseg processing single picture, everything goes well and gives a result in several seconds. The code is almost the same:
C = semanticseg(Img,net,'ExecutionEnvironment',"cpu");
The image is about 4000*4000 JPG. When I use semanticseg on a imagedatastore of 32*32 or 64*64 images, there are pixellabel outcomes, but the outcomes are totally different from when I am not using parallel computing and definitely they are wrong. I also dont know what's wrong with it.
  1 个评论
Srivardhan Gadila
Srivardhan Gadila 2019-8-21
Can you copy some images(2 or 3 on which "C = semanticseg(Img,net,'ExecutionEnvironment',"cpu");" is working) to a new folder and try runnig the code on images present in the new folder using the imageDatastore.

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