Я пытаюсь выполнить код, данный для задачи 1 курса углубленного изучения Udacity, и продолжаю получать, Exception:
Many few images that expected: 0 < 45000
Это код, который я пытаюсь выполнить:
image_size = 28 #28x28
pixel_depth = 255.0 #pixel intensity
def load_letter(folder, min_num_images):
"""Load the data for a single letter label"""
image_files = os.listdir(folder)
dataset = np.ndarray(shape=(len(image_files), image_size, image_size), dtype=np.float32)
print(folder)
num_images = 0
for image in image_files:
image_file = os.path.join(folder, image)
try:
image_data = (imageio.imread(image_file).astype(float) - pixel_depth / 2) / pixel_depth
if image_data.shape != (image_size, image_size):
raise Exception('Unexpected image shapes: %s' % str(image_data.shape))
dataset[num_images, :, :] = image_data
num_images = num_images + 1
except (IOError, ValueError) as e:
print('Could not read:', image_file, ':', e, ' -it\s ok, skipping.')
dataset = dataset[0:num_images, :, :]
if num_images < min_num_images:
raise Exception('Many few images that expected: %d < %d' %(num_images, min_num_images))
print('Full dataset tensor:', dataset.shape)
print('Mean: ', np.mean(dataset))
print('Standard deviation: ', np.std(dataset))
return dataset
def maybe_pickle(data_folders, min_num_images_per_class, force=False):
dataset_names = []
for folder in data_folders:
set_filename = folder + '.pickle'
dataset_names.append(set_filename)
if os.path.exists(set_filename) and not force==True:
print('% already present - Skipping pickling.' % set_filename)
else:
print('Pickling %s.' % set_filename)
dataset = load_letter(folder, min_num_images_per_class)
try:
with open(set_filename, 'wb') as f:
pickle.dump(dataset, f, pickle.HIGHEST_PROTOCOL)
except Exception as e:
print('Unable to save data to', set_filename, ':', e)
return dataset_names
train_datasets = maybe_pickle(train_folders, 45000)
test_datasets = maybe_pickle(test_folders, 1800)
И это ошибка, которую я продолжаю получать:
Pickling ./notMNIST_large/A.pickle.
./notMNIST_large/A
Could not read: ./notMNIST_large/A/Um9tYW5hIEJvbGQucGZi.png : Could not find a format to read the specified file in mode 'i' -it\s ok, skipping.
Could not read: ./notMNIST_large/A/RnJlaWdodERpc3BCb29rSXRhbGljLnR0Zg==.png : Could not find a format to read the specified file in mode 'i' -it\s ok, skipping.
Could not read: ./notMNIST_large/A/SG90IE11c3RhcmQgQlROIFBvc3Rlci50dGY=.png : Could not find a format to read the specified file in mode 'i' -it\s ok, skipping.
---------------------------------------------------------------------------
Exception Traceback (most recent call last)
<ipython-input-52-7fc6ba87fcaf> in <module>
49
50
---> 51 train_datasets = maybe_pickle(train_folders, 45000)
52 test_datasets = maybe_pickle(test_folders, 1800)
53
<ipython-input-52-7fc6ba87fcaf> in maybe_pickle(data_folders, min_num_images_per_class, force)
39 else:
40 print('Pickling %s.' % set_filename)
---> 41 dataset = load_letter(folder, min_num_images_per_class)
42 try:
43 with open(set_filename, 'wb') as f:
<ipython-input-52-7fc6ba87fcaf> in load_letter(folder, min_num_images)
22 dataset = dataset[0:num_images, :, :]
23 if num_images < min_num_images:
---> 24 raise Exception('Many few images that expected: %d < %d' %(num_images, min_num_images))
25
26 print('Full dataset tensor:', dataset.shape)
Exception: Many few images that expected: 0 < 45000
Коды об этом коде выполняются без ошибок.
В чем проблема в этом коде. Я не подделал никаких мыслей, я просто написал, как это было дано.