ImportError: cannot import name '_validate_lengths'

John picture John · Jan 17, 2019 · Viewed 43.3k times · Source

I have started learning Tensorflow. I am using Pycharm and my environment is Ubuntu 16.04. I am following the tutorial. I cross check the nump. It is up-to-date. I don't know the reason of this error.

from numpy.lib.arraypad import _validate_lengths

ImportError: cannot import name '_validate_lengths'

Need hint to resolve this error. Thank you.

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

Wey Shi picture Wey Shi · Jan 18, 2019

I updated my skimage package.

pip install --upgrade scikit-image

And the problem was solved. It's a problem of version of Skimage, which is solved in 0.14.2. PLus, this version is quite stable.

    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