AttributeError: 'str' object has no attribute 'shape' - when resizing image using scikit-image

Question

我正在尝试遍历目录并使用 scikit-image 调整每个图像的大小，但我不断收到以下错误：

b'scene01601.png'
Traceback (most recent call last):
  File "preprocessingdatacopy.py", line 16, in <module>
    image_resized = resize(filename, (128, 128))
  File "/home/briannagopaul/PycharmProjects/DogoAutoencoder/venv/lib/python3.6/site-packages/skimage/transform/_warps.py", line 104, in resize
    input_shape = image.shape
AttributeError: 'str' object has no attribute 'shape'

我的代码：

import skimage
from sklearn import preprocessing
from skimage import data, color
import os
from skimage.transform import resize, rescale
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
import os
directory_in_str = "/home/briannagopaul/imagemickey/"
directory = os.fsencode(directory_in_str)
for file in os.listdir(directory):
    print(file)
    filename = os.fsdecode(file)
    if filename.endswith(".png"):
        image_resized = resize(filename, (128, 128))
        img = mpimg.imread(file)
        imgplot = plt.imshow(img)
        plt.show()
        filename.shape()

Answer 1

首先，除非代码运行与图像位于同一目录中，否则您需要在文件名中指定目录：

for file in os.listdir(directory):
    print(file)
    filename = directory_in_str + os.fsdecode(file)

但是为了解决您的问题，您已经通过 mpimg.imread 行读取图像并将该图像存储为名为 img 的 numpy 数组。使用那个 img 变量，您可以运行它通过其余的行：

    if filename.endswith(".png"):
        img = mpimg.imread(filename)
        image_resized = resize(img, (128, 128))
        imgplot = plt.imshow(img)
        plt.show()
        print(img.shape)

请注意，我将对 filename 的两个单独调用更改为 img。那是因为 filename 只是文件的名称而不是实际文件，在您的情况下称为 img.

AttributeError: 'str' object has no attribute 'shape' - when resizing image using scikit-image

AttributeError: 'str' object has no attribute 'shape' - when resizing image using scikit-image

scikit-image

image-preprocessing