AtiqueUrRehman’s gists

AtiqueUrRehman / read_tfrecords_batches

Created February 11, 2017 18:11

Read the examples in tfrecords files in batches using Tensorflow queue runners

	import tensorflow as tf

	def read_and_decode_example(filename_queue):
	reader = tf.TFRecordReader()
	_, serialized_example = reader.read(filename_queue)
	features = tf.parse_single_example(
	serialized_example,
	# Defaults are not specified since both keys are required.
	features={
	'label/image/encoded': tf.FixedLenFeature([], tf.string),

AtiqueUrRehman / images_to_tfrecords

Created February 11, 2017 16:11

An example of converting images to tfrecords, in this case we have an image-to-image mapping, so we have some input images and corresponding label images. Correspoing reading code is in comments below. The code is barebones and non threaded for simpplicity a threaded example is here : https://gist.github.com/AtiqueUrRehman/c1ccc7a76115262e20e507…

	from __future__ import absolute_import
	from __future__ import division
	from __future__ import print_function

	from datetime import datetime
	import os
	import random
	import sys
	import threading
	import math

AtiqueUrRehman / images_to_tfrecords

Created February 11, 2017 16:09

An example of converting images to tfrecords, in this case we have an image-to-image mapping, so we have some input images and corresponding label images. Correspoing reading code is in comments below.

	from __future__ import absolute_import
	from __future__ import division
	from __future__ import print_function

	from datetime import datetime
	import os
	import random
	import sys
	import threading
	import math

AtiqueUrRehman / images_to_tfrecords_threaded

Last active November 20, 2017 17:00

An example of converting images to tfrecords, in this case we have an image-to-image mapping, so we have some input images and corresponding label images. Correspoing reading code is in comments below. A simpler barebones example is here : https://gist.github.com/AtiqueUrRehman/dfeeea0397fa5588619ebf193717ac0c

	# coding: utf-8
	# Copyright 2016 Google Inc. All Rights Reserved.
	#
	# Licensed under the Apache License, Version 2.0 (the "License");
	# you may not use this file except in compliance with the License.
	# You may obtain a copy of the License at
	#
	# http://www.apache.org/licenses/LICENSE-2.0
	#
	# Unless required by applicable law or agreed to in writing, software

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