layer_random_height
Randomly vary the height of a batch of images during training
Description
Randomly vary the height of a batch of images during training
Usage
 
layer_random_height( 
  object, 
  factor, 
  interpolation = "bilinear", 
  seed = NULL, 
  ... 
) Arguments
| Arguments | Description | 
|---|---|
| object | What to compose the new Layerinstance with. Typically a Sequential model or a Tensor (e.g., as returned bylayer_input()). The return value depends onobject. Ifobjectis:- missing or NULL, theLayerinstance is returned.- a Sequentialmodel, the model with an additional layer is returned.- a Tensor, the output tensor from layer_instance(object)is returned. | 
| factor | A positive float (fraction of original height), or a list of size 2 representing lower and upper bound for resizing vertically. When represented as a single float, this value is used for both the upper and lower bound. For instance, factor = c(0.2, 0.3)results in an output with height changed by a random amount in the range[20%, 30%].factor = c(-0.2, 0.3)results in an output with height changed by a random amount in the range[-20%, +30%].factor=0.2results in an output with height changed by a random amount in the range[-20%, +20%]. | 
| interpolation | String, the interpolation method. Defaults to "bilinear". Supports"bilinear","nearest","bicubic","area","lanczos3","lanczos5","gaussian","mitchellcubic". | 
| seed | Integer. Used to create a random seed. | 
| … | standard layer arguments. | 
Details
Adjusts the height of a batch of images by a random factor. The input should be a 3D (unbatched) or 4D (batched) tensor in the "channels_last" image data format. By default, this layer is inactive during inference.
See Also
- https://www.tensorflow.org/api_docs/python/tf/keras/layers/RandomHeight 
- https://keras.io/api/layers/preprocessing_layers/ - Other image augmentation layers: - layer_random_brightness(),- layer_random_contrast(),- layer_random_crop(),- layer_random_flip(),- layer_random_rotation(),- layer_random_translation(),- layer_random_width(),- layer_random_zoom()Other preprocessing layers:- layer_category_encoding(),- layer_center_crop(),- layer_discretization(),- layer_hashing(),- layer_integer_lookup(),- layer_normalization(),- layer_random_brightness(),- layer_random_contrast(),- layer_random_crop(),- layer_random_flip(),- layer_random_rotation(),- layer_random_translation(),- layer_random_width(),- layer_random_zoom(),- layer_rescaling(),- layer_resizing(),- layer_string_lookup(),- layer_text_vectorization()