学习Tensorflow遇到以下问题（我使用Pycharm，环境是Ubuntu 16.04）。我不知道此错误的原因。

from numpy.lib.arraypad import _validate_lengths

ImportError: cannot import name ‘_validate_lengths’

出错的代码如下，需要提示来解决此错误。谢谢。

import tensorflow as tf from skimage import transform from skimage import data import matplotlib.pyplot as plt import os import numpy as np from skimage.color import rgb2gray import random #listdir: This method returns a list containing the names of the entries in the directory given by path. # Return True if path is an existing directory def load_data(data_dir): # Get all subdirectories of data_dir. Each represents a label. directories = [d for d in os.listdir(data_dir) if os.path.isdir(os.path.join(data_dir, d))] # Loop through the label directories and collect the data in # two lists, labels and images. labels = []
    images = [] for d in directories:
        label_dir = os.path.join(data_dir, d)
        file_names = [os.path.join(label_dir, f) for f in os.listdir(label_dir) if f.endswith(".ppm")] for f in file_names:
            images.append(data.imread(f))
            labels.append(int(d)) return images, labels


ROOT_PATH = "/home/tahir/PhD Study/Traffic Signs Using Tensorflow/" train_data_dir = os.path.join(ROOT_PATH, "TrafficSigns/Training")
test_data_dir = os.path.join(ROOT_PATH, "TrafficSigns/Testing")

images, labels = load_data(train_data_dir) # Print the `images` dimensions print(images.ndim) # Print the number of `images`'s elements print(images.size) # Print the first instance of `images` images[0]

最佳思路

我更新了skimage软件包。

pip install --upgrade scikit-image 

问题解决了。这是Skimage版本的问题，已在0.14.2中解决。 另外，此版本非常稳定。

Installing collected packages: dask, scikit-image Found existing installation: dask 0.19.1 Uninstalling dask-0.19.1: Successfully uninstalled dask-0.19.1 Found existing installation: scikit-image 0.13.0 Uninstalling scikit-image-0.13.0: Successfully uninstalled scikit-image-0.13.0 Successfully installed dask-1.0.0 scikit-image-0.14.2