比较与tf.image.rot90的功能差异
tf.image.rot90
tf.image.rot90(
image,
k=1,
name=None
)
更多内容详见tf.image.rot90。
mindspore.dataset.vision.Rotate
class mindspore.dataset.vision.Rotate(
degrees,
resample=Inter.NEAREST,
expand=False,
center=None,
fill_value=0
)
使用方式
TensorFlow:逆时针旋转图像,每次旋转90度。
MindSpore:逆时针旋转图像,旋转角可为任意度数,并对旋转图像之外的区域进行像素填充。
代码示例
# 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]]]