フィルターのクリア

What is the correct syntax for using an augmentedImageDatastore as validation data in trainingOptions for the trainNetwork() function?

1 回表示 (過去 30 日間)
I have the following image datastore:
myDataset = imageDatastore('C:\MyData',...
'IncludeSubfolders',true,...
'FileExtensions','.png',...
'LabelSource','foldernames');
[imdsTrain, imdsVal, imdsTest] = splitEachLabel(myDataset, 0.6, 0.2, 'randomized');
Which I then prepare to input into some pre-trained networks:
augimdsTrain = augmentedImageDatastore([227 227 3],imdsTrain,...
'ColorPreprocessing', 'gray2rgb',...
'DataAugmentation', augmenter);
augimdsVal = augmentedImageDatastore([227 227 3],imdsVal, ...
'ColorPreprocessing', 'gray2rgb');
augimdsTest = augmentedImageDatastore([227 227 3],imdsTest,...
'ColorPreprocessing', 'gray2rgb');
What is the correct syntax for using augimdsVal as 'ValidationData'in trainingOptions? Do I just use the augmented datastore as is (as I've seen in some of the documentation):
options = trainingOptions('sgdm','InitialLearnRate', 0.0001, 'ValidationData', augimdsVal);
Or can I add labels like so:
options = trainingOptions('sgdm','InitialLearnRate', 0.0001, 'ValidationData', {augimdsVal imdsVal.Labels});
Or is there a better way?

採用された回答

Harsha Priya Daggubati
Harsha Priya Daggubati 2020 年 5 月 15 日
Hi,
The name-value pair 'ValidationData' can support only the following types as a value:
  1. Image Data Store.
  2. Data Store.
  3. Table.
  4. Cell array of X and Y, where X represents data while Y represents corresponding labels.
So, I guess it is invalid to give labels again as a value.
Refer to the following link:
Hope this clarifies your concern!
  3 件のコメント
Harsha Priya Daggubati
Harsha Priya Daggubati 2020 年 5 月 15 日
As the imagedataStore has labels, there is no need to explicitly specify labels to augmented image datastore, when we use imds as the argument during creation.
Dominic Maguire
Dominic Maguire 2020 年 5 月 15 日
Great stuff. That's exactly what I wanted to know. Thanks.

サインインしてコメントする。

その他の回答 (0 件)

カテゴリ

Help Center および File ExchangeImage Data Workflows についてさらに検索

製品


リリース

R2020a

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by