Function Differences with tf.image.random_flip_up_down
tf.image.random_flip_up_down
tf.image.random_flip_up_down(
image,
seed=None
)
For more information, see tf.image.random_flip_up_down.
mindspore.dataset.vision.c_transforms.RandomVerticalFlip
class mindspore.dataset.vision.c_transforms.RandomVerticalFlip(
prob=0.5
)
For more information, see mindspore.dataset.vision.c_transforms.RandomVerticalFlip.
Differences
TensorFlow: Randomly flip the image vertically with a probability of 0.5. The random seed can be specified by the input parameter.
MindSpore: Randomly flip the image vertically with the specified probability. The global random seed can to be set through mindspore.dataset.config.set_seed
.
Code Example
# The following implements RandomVerticalFlip with MindSpore.
import numpy as np
import mindspore.dataset as ds
ds.config.set_seed(57)
image = np.random.random((28, 28, 3))
result = ds.vision.c_transforms.RandomVerticalFlip(prob=0.5)(image)
print(result.shape)
# (28, 28, 3)
# The following implements random_flip_up_down with TensorFlow.
import tensorflow as tf
image = tf.random.normal((28, 28, 3))
result = tf.image.random_flip_up_down(image, seed=57)
print(result.shape)
# (28, 28, 3)