比较与tf.image.crop_to_bounding_box的功能差异
tf.image.crop_to_bounding_box
tf.image.crop_to_bounding_box(
image,
offset_height,
offset_width,
target_height,
target_width
)
mindspore.dataset.vision.Crop
class mindspore.dataset.vision.Crop(
coordinates,
size
)
使用方式
TensorFlow:在图像指定位置进行裁剪,入参为裁剪位置的高、宽坐标和裁剪子图的高、宽。
MindSpore:在图像指定位置进行裁剪,入参为裁剪位置的坐标和裁剪子图的大小。
代码示例
# The following implements Crop with MindSpore.
import numpy as np
import mindspore.dataset as ds
image = np.random.random((28, 28, 3))
result = ds.vision.Crop((0, 0), (14, 14))(image)
print(result.shape)
# (14, 14, 3)
# The following implements crop_to_bounding_box with TensorFlow.
import tensorflow as tf
image = tf.random.normal((28, 28, 3))
result = tf.image.crop_to_bounding_box(image, 0, 0, 14, 14)
print(result.shape)
# (14, 14, 3)