tf-record_decoder_reader2.py

import tensorflow as tf
train_record = 'tf-records/coco_train.record-00000-of-00001'
for i, record in enumerate(tf.python_io.tf_record_iterator(train_record)):
    #print("######################### Record", i, "#########################")
    example = tf.train.Example()
    example.ParseFromString(record)
    feature = example.features.feature
    imgHeight = feature['image/height'].int64_list.value[0]
    imgWidth = feature['image/width'].int64_list.value[0]
    imgFileName = feature['image/filename'].bytes_list .value[0].decode('utf-8')
    print(imgWidth,imgHeight,imgFileName)
    #print(feature)
    bboxes = []
    for ibbox, label in enumerate (feature["image/object/class/text"].bytes_list.value):
        textLabel = label.decode("utf-8")
        bboxes.append( (textLabel,
                        feature["image/object/bbox/xmin"].float_list.value[ibbox],
                        feature["image/object/bbox/xmax"].float_list.value[ibbox],
                        feature["image/object/bbox/ymin"].float_list.value[ibbox],
                        feature["image/object/bbox/ymax"].float_list.value[ibbox]
        ))
     print(bboxes)