layer_center_crop
Crop the central portion of the images to target height and width
Description
Crop the central portion of the images to target height and width
Usage
layer_center_crop(object, height, width, ...) Arguments
| Arguments | Description |
|---|---|
| object | What to compose the new Layer instance with. Typically a Sequential model or a Tensor (e.g., as returned by layer_input()). The return value depends on object. If object is: - missing or NULL, the Layer instance is returned. - a Sequential model, the model with an additional layer is returned. - a Tensor, the output tensor from layer_instance(object) is returned. |
| height | Integer, the height of the output shape. |
| width | Integer, the width of the output shape. |
| … | standard layer arguments. |
Details
Input shape: 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.
See Also
https://www.tensorflow.org/api_docs/python/tf/keras/layers/CenterCrop
https://keras.io/api/layers/preprocessing_layers/image_preprocessing/center_crop
Other image preprocessing layers:
layer_rescaling(),layer_resizing()Other preprocessing layers:layer_category_encoding(),layer_discretization(),layer_hashing(),layer_integer_lookup(),layer_normalization(),layer_random_brightness(),layer_random_contrast(),layer_random_crop(),layer_random_flip(),layer_random_height(),layer_random_rotation(),layer_random_translation(),layer_random_width(),layer_random_zoom(),layer_rescaling(),layer_resizing(),layer_string_lookup(),layer_text_vectorization()