How to inspect a Tensorflow .tfrecord file?

Question

I have a .tfrecord but I don't know how it is structured. How can I inspect the schema to understand what the .tfrecord file contains?

All Stackoverflow answers or documentation seem to assume I know the structure of the file.

reader = tf.TFRecordReader() file = tf.train.string_input_producer("record.tfrecord") _, serialized_record = reader.read(file)  ...HOW TO INSPECT serialized_record... 

Answer 1

Found it!

import tensorflow as tf  for example in tf.python_io.tf_record_iterator("data/foobar.tfrecord"):     print(tf.train.Example.FromString(example)) 

You can also add:

from google.protobuf.json_format import MessageToJson ... jsonMessage = MessageToJson(tf.train.Example.FromString(example)) 

Answer 2

Above solutions didn't work for me so for TF 2.0 use this:

import tensorflow as tf  raw_dataset = tf.data.TFRecordDataset("path-to-file")  for raw_record in raw_dataset.take(1):     example = tf.train.Example()     example.ParseFromString(raw_record.numpy())     print(example) 

https://www.tensorflow.org/tutorials/load_data/tfrecord#reading_a_tfrecord_file_2