比较与tf.image.resize_images的功能差异
tf.image.resize_images
tf.image.resize_images(
images,
size,
method=ResizeMethodV1.BILINEAR,
align_corners=False,
preserve_aspect_ratio=False,
name=None
)
更多内容详见tf.image.resize_images。
mindspore.dataset.vision.Resize
class mindspore.dataset.vision.Resize(
size,
interpolation=Inter.LINEAR
)
使用方式
TensorFlow:放缩图像至指定大小,支持保留顶角像素点和原始宽高比。
MindSpore:放缩图像至指定大小,当 size
输入为单个整数时,将保持原始宽高比。
代码示例
# The following implements Resize with MindSpore.
import numpy as np
import mindspore.dataset as ds
from mindspore.dataset.vision import Inter
image = np.random.random((28, 28, 3))
result = ds.vision.Resize((14, 14), Inter.BICUBIC)(image)
print(result.shape)
# (14, 14, 3)
# The following implements resize_images with TensorFlow.
import tensorflow as tf
from tensorflow.image import ResizeMethod
image = tf.random.normal((28, 28, 3))
result = tf.image.resize_images(image, (14, 14), ResizeMethod.BICUBIC)
print(result.shape)
# (14, 14, 3)