tf.keras.layers.CenterCrop
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Crop the central portion of the images to target height and width.
Inherits From: Layer, Module
tf.keras.layers.CenterCrop(
height, width, **kwargs
)
3D (unbatched) or 4D (batched) tensor with shape:
(..., height, width, channels), in "channels_last" format.
Output shape:
3D (unbatched) or 4D (batched) tensor with shape:
(..., target_height, target_width, channels).
If the input height/width is even and the target height/width is odd (or
inversely), the input image is left-padded by 1 pixel.
Args |
|---|
height
|
Integer, the height of the output shape.
|
width
|
Integer, the width of the output shape.
|
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Last updated 2021-08-16 UTC.
[null,null,["Last updated 2021-08-16 UTC."],[],[],null,["# tf.keras.layers.CenterCrop\n\n\u003cbr /\u003e\n\n|--------------------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/keras-team/keras/tree/master/keras/layers/preprocessing/image_preprocessing.py#L124-L192) |\n\nCrop the central portion of the images to target height and width.\n\nInherits From: [`Layer`](../../../tf/keras/layers/Layer), [`Module`](../../../tf/Module)\n\n#### View aliases\n\n\n**Main aliases**\n\n[`tf.keras.layers.experimental.preprocessing.CenterCrop`](https://www.tensorflow.org/api_docs/python/tf/keras/layers/CenterCrop)\n**Compat aliases for migration**\n\nSee\n[Migration guide](https://www.tensorflow.org/guide/migrate) for\nmore details.\n\n[`tf.compat.v1.keras.layers.CenterCrop`](https://www.tensorflow.org/api_docs/python/tf/keras/layers/CenterCrop), [`tf.compat.v1.keras.layers.experimental.preprocessing.CenterCrop`](https://www.tensorflow.org/api_docs/python/tf/keras/layers/CenterCrop)\n\n\u003cbr /\u003e\n\n tf.keras.layers.CenterCrop(\n height, width, **kwargs\n )\n\n#### Input shape:\n\n3D (unbatched) or 4D (batched) tensor with shape:\n`(..., height, width, channels)`, in `\"channels_last\"` format.\n\n#### Output shape:\n\n3D (unbatched) or 4D (batched) tensor with shape:\n`(..., target_height, target_width, channels)`.\n\nIf the input height/width is even and the target height/width is odd (or\ninversely), the input image is left-padded by 1 pixel.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|----------|------------------------------------------|\n| `height` | Integer, the height of the output shape. |\n| `width` | Integer, the width of the output shape. |\n\n\u003cbr /\u003e"]]
View source on GitHub