Question

我正在关注datacamp.com上的Tensorflow教程。 https://www.datacamp.com/community/tutorials/tensorflow-tutorial#gs.ljKz3uI

我陷入了代码的这一点，代码指的是使用 ndim 和尺寸的列表的打印尺寸和尺寸。我收到一个错误“列表对象没有属性ndim。”

`import os

 import skimage

 import pdb

 from skimage import data
ROOT_PATH = "/tmp/"
train_data_directory =os.path.join(ROOT_PATH,
\mozilla_vijaya0/Training")
test_data_directory = os.path.join(ROOT_PATH, 
"mozilla_vijaya0/Testing")
def load_data(data_directory):
directories = [d for d in os.listdir(data_directory) 
               if os.path.isdir(os.path.join(data_directory, d))]
 labels = []
images = []
for d in directories:
    label_directory = os.path.join(data_directory, d)
    file_names = [os.path.join(label_directory, f) 
                  for f in os.listdir(label_directory) 
                  if f.endswith(".ppm")]
    for f in file_names:
        images.append(skimage.data.imread(f))
        labels.append(int(d))
return images, labels

images, labels = load_data(train_data_directory)
print(images.ndim)
print(images.size)
images[0]`

显示列表的尺寸和大小的正确方法是什么。

Answer 1

使用以下命令将图像转换为numpy数组

images = np.array(images)

现在你可以运行

了

print(images.ndim)
print(images.size)

Python列表函数ndim和size

1 个答案: