/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

6 votes163 views6 answers
Palindrome
Python
22 votes242 views6 answers
Python factorial
Python
0 vote175 views1 answer
Python run async function without await
Python
71 votes161 views6 answers
Clear console in python
Python
80 votes201 views6 answers
Python code to exe file
Python
6 votes192 views3 answers
Python list add first
Python
0 vote184 views1 answer
Flask new response style with `make_response`
Python Flask
0 vote194 views1 answer
If user_answer==answer: ecpeted index erroe pythin fx
Python
3 votes167 views2 answers
Apply lambda function to multiple columns pandas
Python
0 vote170 views1 answer
Save image to file from URL
Python