Question

我试图遍历目录并使用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，除非代码在与映像相同的目录中运行，否则您将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)

但是要解决您的问题，您已经在通过mpimg.imread行读取图像并将该图像存储为名为img的numpy数组。使用该img变量，您可以在其余各行中运行它：

    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，我将两个单独的调用从filename更改为img。这是因为filename只是文件名，而不是实际文件，在您的情况下称为img。

AttributeError：'str'对象没有属性'shape'-使用scikit-image调整图像大小时

1 个答案: