Preparing a datastore for a multi-input CNN

2021 12 23
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更新时间：2022 4 27
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I have written the following code based on a question and answer on mathworks website. The problem is that the resulting datastore has only one row:
root_train='E:\DeepNet\Combined\tr';
trdatstore = imageDatastore(root_train,'IncludeSubfolders',true,'LabelSource','foldernames');
imds = trdatstore;
augimdsTrain = augmentedImageDatastore([224 224 3],imds)
augimdsTrain.MiniBatchSize =1
taugimdsTrain = transform(augimdsTrain,@(x)x{1,1})
labelsTrain = transform(augimdsTrain,@(x){x{1,2}})
cds = combine(taugimdsTrain,taugimdsTrain,labelsTrain)

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回答（1 个）

yanqi liu
yanqi liu 2021-12-24
Ran in:

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Ran in:
visiondataPath = fullfile(matlabroot,'toolbox','vision','visiondata');
trdatstore = imageDatastore(visiondataPath,'IncludeSubfolders',true,'LabelSource','foldernames');
imds = trdatstore;
augimdsTrain = augmentedImageDatastore([224 224 3],imds)
augimdsTrain =
augmentedImageDatastore with properties: NumObservations: 2450 Files: {2450×1 cell} AlternateFileSystemRoots: {} MiniBatchSize: 128 DataAugmentation: 'none' ColorPreprocessing: 'none' OutputSize: [224 224] OutputSizeMode: 'resize' DispatchInBackground: 0
augimdsTrain.MiniBatchSize =1
augimdsTrain =
augmentedImageDatastore with properties: NumObservations: 2450 Files: {2450×1 cell} AlternateFileSystemRoots: {} MiniBatchSize: 1 DataAugmentation: 'none' ColorPreprocessing: 'none' OutputSize: [224 224] OutputSizeMode: 'resize' DispatchInBackground: 0
taugimdsTrain = transform(augimdsTrain,@(x)x{1,1})
taugimdsTrain =
TransformedDatastore with properties: UnderlyingDatastores: {augmentedImageDatastore} SupportedOutputFormats: ["txt" "csv" "xlsx" "xls" "parquet" "parq" "png" "jpg" "jpeg" "tif" "tiff" "wav" "flac" "ogg" "mp4" "m4a"] Transforms: {@(x)x{1,1}} IncludeInfo: 0
labelsTrain = transform(augimdsTrain,@(x){x{1,2}})
labelsTrain =
TransformedDatastore with properties: UnderlyingDatastores: {augmentedImageDatastore} SupportedOutputFormats: ["txt" "csv" "xlsx" "xls" "parquet" "parq" "png" "jpg" "jpeg" "tif" "tiff" "wav" "flac" "ogg" "mp4" "m4a"] Transforms: {@(x){x{1,2}}} IncludeInfo: 0
cds = combine(taugimdsTrain,taugimdsTrain,labelsTrain)
cds =
CombinedDatastore with properties: UnderlyingDatastores: {[1×1 matlab.io.datastore.TransformedDatastore] [1×1 matlab.io.datastore.TransformedDatastore] [1×1 matlab.io.datastore.TransformedDatastore]} SupportedOutputFormats: ["txt" "csv" "xlsx" "xls" "parquet" "parq" "png" "jpg" "jpeg" "tif" "tiff" "wav" "flac" "ogg" "mp4" "m4a"]

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mingsheng wang
mingsheng wang 2022-4-27
你好，这个多输入的网络智能用datastore吗？能不能直接用table呢？

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