data_input.py 文件源码

def decode_from_tfrecords(filename,num_epoch=None):
    filename_queue=tf.train.string_input_producer([filename],num_epochs=num_epoch)#???????????????????????????????????????
    reader=tf.TFRecordReader()
    _,serialized=reader.read(filename_queue)
    example=tf.parse_single_example(serialized,features={
        'height':tf.FixedLenFeature([],tf.int64),
        'width':tf.FixedLenFeature([],tf.int64),
        'nchannel':tf.FixedLenFeature([],tf.int64),
        'image':tf.FixedLenFeature([],tf.string),
        'label':tf.FixedLenFeature([],tf.int64)
    })
    label=tf.cast(example['label'], tf.int32)
    image=tf.decode_raw(example['image'],tf.uint8)
    image=tf.reshape(image,tf.pack([
        tf.cast(example['height'], tf.int32),
        tf.cast(example['width'], tf.int32),
        tf.cast(example['nchannel'], tf.int32)]))
    return image,label