obtain xtrain, y train, xtest and ytrain From my own images data










0















My data is ordered in folders as follows:



- train
* principal
* soup
* dessert
- test
* principal
* soup
* dessert


It contains 1750 64x64 img per folder in train and 250 p/folder in test. I want to obtain xtest / ytest / xtrain / ytrain vars from that data. But I only find a way to do it from, for example CIFAR-10:



(x_train, y_train), (x_test, y_test) = cifar10.load_data() 
# x_train - training data(images), y_train - labels(digits)


Any thought? Thanks.










share|improve this question


























    0















    My data is ordered in folders as follows:



    - train
    * principal
    * soup
    * dessert
    - test
    * principal
    * soup
    * dessert


    It contains 1750 64x64 img per folder in train and 250 p/folder in test. I want to obtain xtest / ytest / xtrain / ytrain vars from that data. But I only find a way to do it from, for example CIFAR-10:



    (x_train, y_train), (x_test, y_test) = cifar10.load_data() 
    # x_train - training data(images), y_train - labels(digits)


    Any thought? Thanks.










    share|improve this question
























      0












      0








      0








      My data is ordered in folders as follows:



      - train
      * principal
      * soup
      * dessert
      - test
      * principal
      * soup
      * dessert


      It contains 1750 64x64 img per folder in train and 250 p/folder in test. I want to obtain xtest / ytest / xtrain / ytrain vars from that data. But I only find a way to do it from, for example CIFAR-10:



      (x_train, y_train), (x_test, y_test) = cifar10.load_data() 
      # x_train - training data(images), y_train - labels(digits)


      Any thought? Thanks.










      share|improve this question














      My data is ordered in folders as follows:



      - train
      * principal
      * soup
      * dessert
      - test
      * principal
      * soup
      * dessert


      It contains 1750 64x64 img per folder in train and 250 p/folder in test. I want to obtain xtest / ytest / xtrain / ytrain vars from that data. But I only find a way to do it from, for example CIFAR-10:



      (x_train, y_train), (x_test, y_test) = cifar10.load_data() 
      # x_train - training data(images), y_train - labels(digits)


      Any thought? Thanks.







      image keras dataset conv-neural-network






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Nov 14 '18 at 17:46









      J. DavJ. Dav

      113




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