prepare data from csv for a multiclass and multi-label classification in image classification
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
add a comment |
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
add a comment |
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
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
python-3.x pandas csv keras deep-learning
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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