prepare data from csv for a multiclass and multi-label classification in image classification












0














I have the following structure of a csv file...



image_id, class, sub_class, label1, label2, label3, color   
34453572, big, rectangle, 1, 0, 1, red
42524543, small, circle, 1, 1, 0, black


I have the following python code:



def read_training_data():
df = pd.read_csv('train.csv', delimiter=',')
labels = ['class', 'sub_class', 'label1', 'label2', 'label3', 'color']
datagen = ImageDataGenerator(rotation_range=30, horizontal_flip=True)
train_generator = datagen.flow_from_dataframe(dataframe=df, directory="train_set", x_col="tag_id", y_col=labels, has_ext=False, class_mode="categorical", target_size=(64, 96), batch_size=32)
return train_generator


When parameter y_col = 'something' (single class or label classification) it works

but when y_col = labels it gives me the following error error

Is there anyway to fix this? Or is there any other way to prepare the data...










share|improve this question





























    0














    I have the following structure of a csv file...



    image_id, class, sub_class, label1, label2, label3, color   
    34453572, big, rectangle, 1, 0, 1, red
    42524543, small, circle, 1, 1, 0, black


    I have the following python code:



    def read_training_data():
    df = pd.read_csv('train.csv', delimiter=',')
    labels = ['class', 'sub_class', 'label1', 'label2', 'label3', 'color']
    datagen = ImageDataGenerator(rotation_range=30, horizontal_flip=True)
    train_generator = datagen.flow_from_dataframe(dataframe=df, directory="train_set", x_col="tag_id", y_col=labels, has_ext=False, class_mode="categorical", target_size=(64, 96), batch_size=32)
    return train_generator


    When parameter y_col = 'something' (single class or label classification) it works

    but when y_col = labels it gives me the following error error

    Is there anyway to fix this? Or is there any other way to prepare the data...










    share|improve this question



























      0












      0








      0







      I have the following structure of a csv file...



      image_id, class, sub_class, label1, label2, label3, color   
      34453572, big, rectangle, 1, 0, 1, red
      42524543, small, circle, 1, 1, 0, black


      I have the following python code:



      def read_training_data():
      df = pd.read_csv('train.csv', delimiter=',')
      labels = ['class', 'sub_class', 'label1', 'label2', 'label3', 'color']
      datagen = ImageDataGenerator(rotation_range=30, horizontal_flip=True)
      train_generator = datagen.flow_from_dataframe(dataframe=df, directory="train_set", x_col="tag_id", y_col=labels, has_ext=False, class_mode="categorical", target_size=(64, 96), batch_size=32)
      return train_generator


      When parameter y_col = 'something' (single class or label classification) it works

      but when y_col = labels it gives me the following error error

      Is there anyway to fix this? Or is there any other way to prepare the data...










      share|improve this question















      I have the following structure of a csv file...



      image_id, class, sub_class, label1, label2, label3, color   
      34453572, big, rectangle, 1, 0, 1, red
      42524543, small, circle, 1, 1, 0, black


      I have the following python code:



      def read_training_data():
      df = pd.read_csv('train.csv', delimiter=',')
      labels = ['class', 'sub_class', 'label1', 'label2', 'label3', 'color']
      datagen = ImageDataGenerator(rotation_range=30, horizontal_flip=True)
      train_generator = datagen.flow_from_dataframe(dataframe=df, directory="train_set", x_col="tag_id", y_col=labels, has_ext=False, class_mode="categorical", target_size=(64, 96), batch_size=32)
      return train_generator


      When parameter y_col = 'something' (single class or label classification) it works

      but when y_col = labels it gives me the following error error

      Is there anyway to fix this? Or is there any other way to prepare the data...







      python-3.x pandas csv keras deep-learning






      share|improve this question















      share|improve this question













      share|improve this question




      share|improve this question








      edited Nov 21 '18 at 22:43









      Peter Leimbigler

      3,8331415




      3,8331415










      asked Nov 21 '18 at 22:40









      mMargegajmMargegaj

      84




      84
























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