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@ryanleeallred
Created April 25, 2018 16:31
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# Flip images vertically
datagen = ImageDataGenerator(vertical_flip=True)
# fit parameters from data
datagen.fit(x_train)
# Configure batch size and retrieve one batch of images
for X_batch, y_batch in datagen.flow(x_train, y_train, batch_size=9):
# Show 9 images
for i in range(0, 9):
pyplot.subplot(330 + 1 + i)
pyplot.imshow(X_batch[i].reshape(img_rows, img_cols, 3))
# show the plot
pyplot.show()
break
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