ImportError:无法导入名称'\u validate\u lenges'

Question

我已经开始学习Tensorflow了。我正在使用Pycharm，我的环境是Ubuntu 16.04。我正在跟踪tutorial。我交叉检查了一下。它是最新的。我不知道这个错误的原因。

from numpy.lib.arraypad import _validate_lengths

ImportError: cannot import name '_validate_lengths'

需要提示来解决此错误。谢谢您。

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]

Answer 1

scikit图0.14.2适用于numpy 1.16.3。我先安装了numpy，然后安装了scikit映像

Answer 2

pip install scikit-image==0.14.2 && pip install numpy==1.15

参考号：Here

Answer 3

我更新了我的脱脂包。

pip install --upgrade scikit-image

问题解决了。这是skipage版本的问题，在0.14.2中得到了解决。另外，这个版本相当稳定。

    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