Question

所以我几周前才刚刚学习python，我是tensorflow的新手。但是我需要微调初始模型。在尝试按照一些教程进行操作时，当我终于开始看到一些曙光时，我遇到了一个我无法摆脱的可怕错误。这是代码中出现错误的部分：

import matplotlib.pyplot as plt

train_dir=r'C:\tf_files'

image_paths=train_dir

images = [plt.imread(train_dir) for path in image_paths]

def plot_images(images, cls_true, cls_pred=None, smooth=True):
    assert len(images) == len(cls_true)

    # Create figure with sub-plots.
    fig, axes = plt.subplots(3, 3)

    # Adjust vertical spacing.
    if cls_pred is None:
        hspace = 0.3
    else:
        hspace = 0.6
    fig.subplots_adjust(hspace=hspace, wspace=0.3)

    # Interpolation type.
    if smooth:
        interpolation = 'spline16'
    else:
        interpolation = 'nearest'

    for i, ax in enumerate(axes.flat):
        # There may be less than 9 images, ensure it doesn't crash.
        if i < len(images):
            # Plot image.
            ax.imshow(images[i],
                      interpolation=interpolation)

            # Name of the true class.
            cls_true_name = class_names[cls_true[i]]

            # Show true and predicted classes.
            if cls_pred is None:
                xlabel = "True: {0}".format(cls_true_name)
            else:
                # Name of the predicted class.
                cls_pred_name = class_names[cls_pred[i]]

                xlabel = "True: {0}\nPred: {1}".format(cls_true_name, cls_pred_name)

            # Show the classes as the label on the x-axis.
            ax.set_xlabel(xlabel)

        # Remove ticks from the plot.
        ax.set_xticks([])
        ax.set_yticks([])

    # Ensure the plot is shown correctly with multiple plots
    # in a single Notebook cell.
    plt.show()

这是终端吐出的东西：

Traceback (most recent call last):
  File "C:/Users/Shangai/PycharmProjects/PSai/Testing.py", line 14, in <module>
    images = [plt.imread(train_dir) for path in image_paths]
  File "C:/Users/Shangai/PycharmProjects/PSai/Testing.py", line 14, in <listcomp>
    images = [plt.imread(train_dir) for path in image_paths]
  File "C:\Users\Shangai\AppData\Local\conda\conda\envs\PSAI\lib\site-packages\matplotlib\pyplot.py", line 2152, in imread
    return matplotlib.image.imread(fname, format)
  File "C:\Users\Shangai\AppData\Local\conda\conda\envs\PSAI\lib\site-packages\matplotlib\image.py", line 1359, in imread
    with Image.open(fname) as image:
  File "C:\Users\Shangai\AppData\Local\conda\conda\envs\PSAI\lib\site-packages\PIL\Image.py", line 2609, in open
    fp = builtins.open(filename, "rb")
PermissionError: [Errno 13] Permission denied: 'C:\\tf_files'

我基本上需要一种将图像制成阵列的方法，但是我无法弄清楚。任何帮助将不胜感激，非常感谢。和平！

-我在anaconda环境中使用pycharm-

Answer 1

编辑：您为目录（实际上不是图像）调用了imread。您的图片在C:\tf_files中吗？如果是这样，请使用os.listdir()获取目录中的所有（包括非映像）文件。因此，您的代码（应该是）是这样的：

train_dir=r'C:\tf_files' # The directory contains images    
image_paths=os.listdir(train_dir)  # Get the image file only, you can check by checking its extension   
images = [plt.imread(train_dir) for path in image_paths]

还有一件事：引发Permission denied错误，这让我感到困惑。如果我的回答可以帮助您解决问题，这意味着错误不是由于所有权引起的，那么我不知道为什么发生这种Permission denied。

这是问题PermissionError: [Errno 13] Permission denied: 'C:\\tf_files'
您可以访问C:\\tf_files目录吗？尝试获得所有权，或者只是将路径编辑到您有权访问的地方

迁移学习入门v3时出现Errno 13

1 个答案: