将加法高斯噪声添加到单个图像 - 断言错误：预期布尔值作为"return_batch"的参数

Question

我想添加AdditiveGaussianNoise(链接：https://imgaug.readthedocs.io/en/latest/source/overview/arithmetic.html#additivegaussiannoise)转换为我之前调整大小的单个图像。

这是我的代码：

from skimage.io import imread
from skimage.transform import resize
import imgaug.augmenters as iaa
file_name = "path/to/image.jpg"
resized_img = resize(imread(file_name), (224, 224))
aug = iaa.AdditiveGaussianNoise(scale=(0, 0.2*255))
augmented_image = aug(resized_img)

我收到了这个错误消息：

---------------------------------------------------------------------------
AssertionError                            Traceback (most recent call last)
<ipython-input-20-e4a0b17d4ac4> in <module>()
----> 1 augmented_image =aug(resized_img)
1 frames
/usr/local/lib/python3.6/dist-packages/imgaug/augmenters/meta.py in augment(self, return_batch, hooks, **kwargs)
1782             ("Expected boolean as argument for 'return_batch', got type %s. "
1783              + "Call augment() only with named arguments, e.g. "
-> 1784              + "augment(images=<array>).") % (str(type(return_batch)),)
1785         )
1786 
AssertionError: Expected boolean as argument for 'return_batch', got type <class 'numpy.ndarray'>. Call augment() only with named arguments, e.g. augment(images=<array>).

我必须如何修改我的代码？

非常感谢！

Answer 1

这是使用随机图像的解决方案。。。您需要指定images参数

import numpy as np
import imgaug.augmenters as iaa
img = np.random.randint(0,256, (1,224,224,3)).astype('float32')
aug = iaa.AdditiveGaussianNoise(scale=(0, 0.2*255))
augmented_image = aug(images=img)