Question

我打算从Keras教程项目中的tflean数据集中导入牛津花。它下载了图像（下载时，它显示一条消息：该计算机不支持curses（请安装/重新安装curses以获取最佳体验））但是在开始解析图像后，它立即显示“停止迭代”错误。

我已经尝试过重新安装tensorflow和tflearn API并将其升级到最新版本。我仍然看到相同的错误。我正在使用Jupyter笔记本电脑环境和Anaconda。

这是我的代码：

import numpy as np
np.random.seed(42)
import keras
from keras.models import Sequential
from keras.layers import Dense, Dropout, Flatten, Conv2D, MaxPooling2D
from keras.layers.normalization import BatchNormalization
import tflearn.datasets.oxflower17 as oxflower17
X, Y= oxflower17.load_data(one_hot=True)

它应该已经解析了图像，但显示了这一点：

---------------------------------------------------------------------------
FileNotFoundError                         Traceback (most recent call last)
d:\ProgramData\Anaconda3\lib\site-packages\tflearn\data_utils.py in build_image_dataset_from_dir(directory, dataset_file, resize, convert_gray, filetypes, shuffle_data, categorical_Y)
    593     try:
--> 594         X, Y = pickle.load(open(dataset_file, 'rb'))
    595     except Exception:

FileNotFoundError: [Errno 2] No such file or directory: '17flowers\\17flowers.pkl'

During handling of the above exception, another exception occurred:

AttributeError                            Traceback (most recent call last)
d:\ProgramData\Anaconda3\lib\site-packages\tflearn\data_utils.py in directory_to_samples(directory, flags, filter_channel)
    729     try: # Python 2
--> 730         classes = sorted(os.walk(directory).next()[1])
    731     except Exception: # Python 3

AttributeError: 'generator' object has no attribute 'next'

During handling of the above exception, another exception occurred:

StopIteration                             Traceback (most recent call last)
<ipython-input-4-13aafefe0bb6> in <module>
      1 import tflearn.datasets.oxflower17 as oxflower17
----> 2 X, Y= oxflower17.load_data(one_hot=True)

d:\ProgramData\Anaconda3\lib\site-packages\tflearn\datasets\oxflower17.py in load_data(dirname, resize_pics, shuffle, one_hot)
     32                                         convert_gray=False,
     33                                         shuffle_data=shuffle,
---> 34                                         categorical_Y=one_hot)
     35 
     36     return X, Y

d:\ProgramData\Anaconda3\lib\site-packages\tflearn\data_utils.py in build_image_dataset_from_dir(directory, dataset_file, resize, convert_gray, filetypes, shuffle_data, categorical_Y)
    594         X, Y = pickle.load(open(dataset_file, 'rb'))
    595     except Exception:
--> 596         X, Y = image_dirs_to_samples(directory, resize, convert_gray, filetypes)
    597         if categorical_Y:
    598             Y = to_categorical(Y, np.max(Y) + 1) # First class is '0'

d:\ProgramData\Anaconda3\lib\site-packages\tflearn\data_utils.py in image_dirs_to_samples(directory, resize, convert_gray, filetypes)
    573     if filetypes:
    574         if filetypes not in [list, tuple]: filetypes = list(filetypes)
--> 575     samples, targets = directory_to_samples(directory, flags=filetypes)
    576     for i, s in enumerate(samples):
    577         samples[i] = load_image(s)

d:\ProgramData\Anaconda3\lib\site-packages\tflearn\data_utils.py in directory_to_samples(directory, flags, filter_channel)
    730         classes = sorted(os.walk(directory).next()[1])
    731     except Exception: # Python 3
--> 732         classes = sorted(os.walk(directory).__next__()[1])
    733     for c in classes:
    734         c_dir = os.path.join(directory, c)

StopIteration:

导入tflearn数据集（尤其是Oxflower17）时，如何解决“停止迭代”错误？

0 个答案: