Function Differences with tf.image.rot90
tf.image.rot90
tf.image.rot90(
image,
k=1,
name=None
)
For more information, see tf.image.rot90.
mindspore.dataset.vision.Rotate
class mindspore.dataset.vision.Rotate(
degrees,
resample=Inter.NEAREST,
expand=False,
center=None,
fill_value=0
)
For more information, see mindspore.dataset.vision.Rotate.
Differences
TensorFlow: Rotate the image counter-clockwise, by 90 degrees each time.
MindSpore: Rotate the image counter-clockwise with any specified angle, and pad the area outside the rotated image.
Code Example
# The following implements Rotate with MindSpore.
import numpy as np
import mindspore.dataset as ds
image = np.array([[[0.1], [0.2]], [[0.3], [0.4]], [[0.5], [0.6]]])
result = ds.vision.Rotate(90)(image)
print(result)
# [[[0. ], [0. ]],
# [[0.4], [0.6]],
# [[0.3], [0.5]]]
# The following implements rot90 with TensorFlow.
import tensorflow as tf
image = tf.constant([[[0.1], [0.2]], [[0.3], [0.4]], [[0.5], [0.6]]])
result = tf.image.rot90(image, k=1)
print(result)
# [[[0.2], [0.4], [0.6]],
# [[0.1], [0.3], [0.5]]]