Decoding TFRecord and reconstructing the image

In the previous section, we learned how to write a .jpg image into a TFRecord dataset. Now we are going to see how to read it back and display it. An important requirement is that you must know the feature structure of the TFRecord protobuf as indicated by its keys. The feature structure is the same as the feature description used to build the TFRecord in the previous section. In other words, in the same way as a raw image was structured into a tf.Example protobuf with a defined feature description, we can use that feature description to parse or reconstruct the image using the same knowledge stored in the feature description:

1. Read TFRecord back from the path where it is stored:

   read_back_tfrecord = tf.data.TFRecordDataset('tfrecords-collection/maldives-1.tfrecord')

2. Create a dictionary to specify the keys and values in TFRecord, and use it to parse all elements in the TFRecord dataset:

   # Create a dictionary describing...