/Python/Imagedatagenerator split train test

Imagedatagenerator split train test

How to do train test split in keras Imagedatagenerator

train_datagen = ImageDataGenerator(rescale=1./255,
    shear_range=0.2,
    zoom_range=0.2,
    horizontal_flip=True,
    validation_split=0.2) # set validation split

train_generator = train_datagen.flow_from_directory(
    train_data_dir,
    target_size=(img_height, img_width),
    batch_size=batch_size,
    class_mode='binary',
    subset='training') # set as training data

validation_generator = train_datagen.flow_from_directory(
    train_data_dir, # same directory as training data
    target_size=(img_height, img_width),
    batch_size=batch_size,
    class_mode='binary',
    subset='validation') # set as validation data

model.fit_generator(
    train_generator,
    steps_per_epoch = train_generator.samples // batch_size,
    validation_data = validation_generator, 
    validation_steps = validation_generator.samples // batch_size,
    epochs = nb_epochs)

Source: stackoverflow.com

Similar codes

0 vote152 views1 answer
Edit models in django admin
Python Django
0 vote116 views1 answer
Get false positives from confusoin matrix
Python
1 vote146 views1 answer
Incognito in selenium
Python
1 vote117 views2 answers
'Sequential' object has no attribute 'predict_classes'
Python
0 vote115 views1 answer
Is there a way to refer back to a previous line in python
Python
0 vote139 views1 answer
Python ordereddict reverse
Python
0 vote124 views1 answer
Get panda df as a string csv
Python
0 vote137 views1 answer
Parallel loops in python
Python
0 vote132 views1 answer
Read all the lines as a list in a file using the readlines() function
Python
17 votes121 views6 answers
Input in python
Python