tf.image.stateless_random_crop  |  TensorFlow v2.16.1 (original) (raw)

tf.image.stateless_random_crop

Stay organized with collections Save and categorize content based on your preferences.

Randomly crops a tensor to a given size in a deterministic manner.

tf.image.stateless_random_crop(
    value, size, seed, name=None
)

Used in the notebooks

Slices a shape size portion out of value at a uniformly chosen offset. Requires value.shape >= size.

If a dimension should not be cropped, pass the full size of that dimension. For example, RGB images can be cropped withsize = [crop_height, crop_width, 3].

Guarantees the same results given the same seed independent of how many times the function is called, and independent of global seed settings (e.g.tf.random.set_seed).

Usage Example:

image = [[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]] seed = (1, 2) tf.image.stateless_random_crop(value=image, size=(1, 2, 3), seed=seed) <tf.Tensor: shape=(1, 2, 3), dtype=int32, numpy= array([[[1, 2, 3], [4, 5, 6]]], dtype=int32)>