Simple standard + tools for I/O of TFRecords
Project description
TFRecords
Simple standard + tools for I/O of TFRecords
pip install tensorflow-records
I/O
import tensorflow as tf
import tf.records as tfr
image = tf.ones([1024, 768, 3], dtype=tf.uint8)
label = tf.constant('cat')
spec = tfr.spec(
image=tfr.Tensor([1024, 768, 3], dtype='int'),
label='string'
)
serialized = tfr.serialize(spec, image=x, label=y)
# b'\n+\n\x10\n\x05label\x12\x07\n\x05\n\x03cat\n\x17\n\x05image\x1...'
tfr.parse(spec).sample(tf.constant(serialized))
# { 'image': <tf.Tensor: shape=(1024, 768, 3) ...>, 'label': <tf.Tensor: shape=() ...> }
# or you can parse multiple at once
tfr.parse(spec).batch(tf.constant([serialized, serialized]))
# { 'image': <tf.Tensor: shape=(2, 1024, 768, 3) ...>, 'label': <tf.Tensor: shape=(2,) ...> }
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Close
Hashes for tensorflow_records-0.1.14.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 8fc4c42044b77a1a0b007b305a690b7f5e80db9da90aeff94ec6c3c1487e944a |
|
MD5 | 921a7de094fc0e48cf3bd47f42691ba9 |
|
BLAKE2b-256 | b8991619964cb4dc7e54849eeaf8922592d13dcce34bcf39e8163b9f4f61586f |
Close
Hashes for tensorflow_records-0.1.14-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | d46d391a634a00d3ad6c79e0d51a622b3ea210ead8d0e3eba1ae7e4fa990e0d4 |
|
MD5 | 2a726b53dbd439ed55e592eb3231b547 |
|
BLAKE2b-256 | 10f7476f9da667ffc90df13fa6d51b91b1ee6beea4d357dec7739c818f0a9f78 |