如何打印张量流数据集的标签？

Question

我想知道特定数据集中有哪些可用标签。在代码中我知道标签，但如果我不知道所有标签，我希望它从数据集中打印出来。有办法吗？

我在网络上找不到解决方案。

splits = tfds.Split.ALL.subsplit(weighted=(70,30))

(training_set, validation_set),dataset_info = tfds.load('tf_flowers', with_info = True , as_supervised = True,split = splits)

num_classes = dataset_info.features['label'].num_classes

num_training_examples = 0
num_validation_examples = 0

for example in training_set:
  num_training_examples += 1

for example in validation_set:
  num_validation_examples += 1

print('Total Number of Classes: {}'.format(num_classes))
print('Total Number of Training Images: {}'.format(num_training_examples))
print('Total Number of Validation Images: {} \n'.format(num_validation_examples))

Answer 1

class_names = np.array(dataset_info.features['label'].names)

如何打印张量流数据集的标签？

How to print the labels of a tensor flow dataset?

deep-learning

tensorflow

python-3.7