Update preprocessing/image documentation
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docs/templates/preprocessing/image.md
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docs/templates/preprocessing/image.md
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@ -12,7 +12,8 @@ keras.preprocessing.image.ImageDataGenerator(featurewise_center=True,
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height_shift_range=0.,
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height_shift_range=0.,
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shear_range=0.,
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shear_range=0.,
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horizontal_flip=False,
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horizontal_flip=False,
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vertical_flip=False)
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vertical_flip=False,
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dim_ordering='th')
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```
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```
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Generate batches of tensor image data with real-time data augmentation. The data will be looped over (in batches) indefinitely.
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Generate batches of tensor image data with real-time data augmentation. The data will be looped over (in batches) indefinitely.
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@ -29,6 +30,9 @@ Generate batches of tensor image data with real-time data augmentation. The data
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- __shear_range__: Float. Shear Intensity (Shear angle in counter-clockwise direction as radians)
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- __shear_range__: Float. Shear Intensity (Shear angle in counter-clockwise direction as radians)
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- __horizontal_flip__: Boolean. Randomly flip inputs horizontally.
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- __horizontal_flip__: Boolean. Randomly flip inputs horizontally.
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- __vertical_flip__: Boolean. Randomly flip inputs vertically.
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- __vertical_flip__: Boolean. Randomly flip inputs vertically.
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- __dim_ordering__: One of {"th", "tf"}.
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"tf" mode means that the images should have shape `(samples, width, height, channels)`,
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"th" mode means that the images should have shape `(samples, channels, width, height)`.
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- __Methods__:
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- __Methods__:
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- __fit(X)__: Required if featurewise_center or featurewise_std_normalization or zca_whitening. Compute necessary quantities on some sample data.
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- __fit(X)__: Required if featurewise_center or featurewise_std_normalization or zca_whitening. Compute necessary quantities on some sample data.
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