Python cifar10_input.read_cifar10() Examples

The following are 13 code examples of cifar10_input.read_cifar10(). You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may also want to check out all available functions/classes of the module cifar10_input , or try the search function .
Example #1
Source File: cifar10_input_test.py    From ml with Apache License 2.0 6 votes vote down vote up 
def testSimple(self):
    labels = [9, 3, 0]
    records = [self._record(labels[0], 0, 128, 255),
               self._record(labels[1], 255, 0, 1),
               self._record(labels[2], 254, 255, 0)]
    contents = b"".join([record for record, _ in records])
    expected = [expected for _, expected in records]
    filename = os.path.join(self.get_temp_dir(), "cifar")
    open(filename, "wb").write(contents)

    with self.test_session() as sess:
      q = tf.FIFOQueue(99, [tf.string], shapes=())
      q.enqueue([filename]).run()
      q.close().run()
      result = cifar10_input.read_cifar10(q)

      for i in range(3):
        key, label, uint8image = sess.run([
            result.key, result.label, result.uint8image])
        self.assertEqual("%s:%d" % (filename, i), tf.compat.as_text(key))
        self.assertEqual(labels[i], label)
        self.assertAllEqual(expected[i], uint8image)

      with self.assertRaises(tf.errors.OutOfRangeError):
        sess.run([result.key, result.uint8image])
Example #2
Source File: cifar10_input_test.py    From yolo_v2 with Apache License 2.0 6 votes vote down vote up 
def testSimple(self):
    labels = [9, 3, 0]
    records = [self._record(labels[0], 0, 128, 255),
               self._record(labels[1], 255, 0, 1),
               self._record(labels[2], 254, 255, 0)]
    contents = b"".join([record for record, _ in records])
    expected = [expected for _, expected in records]
    filename = os.path.join(self.get_temp_dir(), "cifar")
    open(filename, "wb").write(contents)

    with self.test_session() as sess:
      q = tf.FIFOQueue(99, [tf.string], shapes=())
      q.enqueue([filename]).run()
      q.close().run()
      result = cifar10_input.read_cifar10(q)

      for i in range(3):
        key, label, uint8image = sess.run([
            result.key, result.label, result.uint8image])
        self.assertEqual("%s:%d" % (filename, i), tf.compat.as_text(key))
        self.assertEqual(labels[i], label)
        self.assertAllEqual(expected[i], uint8image)

      with self.assertRaises(tf.errors.OutOfRangeError):
        sess.run([result.key, result.uint8image])
Example #3
Source File: cifar10_input_test.py    From Gun-Detector with Apache License 2.0 6 votes vote down vote up 
def testSimple(self):
    labels = [9, 3, 0]
    records = [self._record(labels[0], 0, 128, 255),
               self._record(labels[1], 255, 0, 1),
               self._record(labels[2], 254, 255, 0)]
    contents = b"".join([record for record, _ in records])
    expected = [expected for _, expected in records]
    filename = os.path.join(self.get_temp_dir(), "cifar")
    open(filename, "wb").write(contents)

    with self.test_session() as sess:
      q = tf.FIFOQueue(99, [tf.string], shapes=())
      q.enqueue([filename]).run()
      q.close().run()
      result = cifar10_input.read_cifar10(q)

      for i in range(3):
        key, label, uint8image = sess.run([
            result.key, result.label, result.uint8image])
        self.assertEqual("%s:%d" % (filename, i), tf.compat.as_text(key))
        self.assertEqual(labels[i], label)
        self.assertAllEqual(expected[i], uint8image)

      with self.assertRaises(tf.errors.OutOfRangeError):
        sess.run([result.key, result.uint8image])
Example #4
Source File: cifar10_input_test.py    From hops-tensorflow with Apache License 2.0 6 votes vote down vote up 
def testSimple(self):
    labels = [9, 3, 0]
    records = [self._record(labels[0], 0, 128, 255),
               self._record(labels[1], 255, 0, 1),
               self._record(labels[2], 254, 255, 0)]
    contents = b"".join([record for record, _ in records])
    expected = [expected for _, expected in records]
    filename = os.path.join(self.get_temp_dir(), "cifar")
    open(filename, "wb").write(contents)

    with self.test_session() as sess:
      q = tf.FIFOQueue(99, [tf.string], shapes=())
      q.enqueue([filename]).run()
      q.close().run()
      result = cifar10_input.read_cifar10(q)

      for i in range(3):
        key, label, uint8image = sess.run([
            result.key, result.label, result.uint8image])
        self.assertEqual("%s:%d" % (filename, i), tf.compat.as_text(key))
        self.assertEqual(labels[i], label)
        self.assertAllEqual(expected[i], uint8image)

      with self.assertRaises(tf.errors.OutOfRangeError):
        sess.run([result.key, result.uint8image])
Example #5
Source File: cifar10_input_test.py    From keras_experiments with The Unlicense 6 votes vote down vote up 
def testSimple(self):
    labels = [9, 3, 0]
    records = [self._record(labels[0], 0, 128, 255),
               self._record(labels[1], 255, 0, 1),
               self._record(labels[2], 254, 255, 0)]
    contents = b"".join([record for record, _ in records])
    expected = [expected for _, expected in records]
    filename = os.path.join(self.get_temp_dir(), "cifar")
    open(filename, "wb").write(contents)

    with self.test_session() as sess:
      q = tf.FIFOQueue(99, [tf.string], shapes=())
      q.enqueue([filename]).run()
      q.close().run()
      result = cifar10_input.read_cifar10(q)

      for i in range(3):
        key, label, uint8image = sess.run([
            result.key, result.label, result.uint8image])
        self.assertEqual("%s:%d" % (filename, i), tf.compat.as_text(key))
        self.assertEqual(labels[i], label)
        self.assertAllEqual(expected[i], uint8image)

      with self.assertRaises(tf.errors.OutOfRangeError):
        sess.run([result.key, result.uint8image])
Example #6
Source File: cifar10_input_test.py    From hands-detection with MIT License 6 votes vote down vote up 
def testSimple(self):
    labels = [9, 3, 0]
    records = [self._record(labels[0], 0, 128, 255),
               self._record(labels[1], 255, 0, 1),
               self._record(labels[2], 254, 255, 0)]
    contents = b"".join([record for record, _ in records])
    expected = [expected for _, expected in records]
    filename = os.path.join(self.get_temp_dir(), "cifar")
    open(filename, "wb").write(contents)

    with self.test_session() as sess:
      q = tf.FIFOQueue(99, [tf.string], shapes=())
      q.enqueue([filename]).run()
      q.close().run()
      result = cifar10_input.read_cifar10(q)

      for i in range(3):
        key, label, uint8image = sess.run([
            result.key, result.label, result.uint8image])
        self.assertEqual("%s:%d" % (filename, i), tf.compat.as_text(key))
        self.assertEqual(labels[i], label)
        self.assertAllEqual(expected[i], uint8image)

      with self.assertRaises(tf.errors.OutOfRangeError):
        sess.run([result.key, result.uint8image])
Example #7
Source File: cifar10_input_test.py    From Live-feed-object-device-identification-using-Tensorflow-and-OpenCV with Apache License 2.0 6 votes vote down vote up 
def testSimple(self):
    labels = [9, 3, 0]
    records = [self._record(labels[0], 0, 128, 255),
               self._record(labels[1], 255, 0, 1),
               self._record(labels[2], 254, 255, 0)]
    contents = b"".join([record for record, _ in records])
    expected = [expected for _, expected in records]
    filename = os.path.join(self.get_temp_dir(), "cifar")
    open(filename, "wb").write(contents)

    with self.test_session() as sess:
      q = tf.FIFOQueue(99, [tf.string], shapes=())
      q.enqueue([filename]).run()
      q.close().run()
      result = cifar10_input.read_cifar10(q)

      for i in range(3):
        key, label, uint8image = sess.run([
            result.key, result.label, result.uint8image])
        self.assertEqual("%s:%d" % (filename, i), tf.compat.as_text(key))
        self.assertEqual(labels[i], label)
        self.assertAllEqual(expected[i], uint8image)

      with self.assertRaises(tf.errors.OutOfRangeError):
        sess.run([result.key, result.uint8image])
Example #8
Source File: cifar10_input_test.py    From object_detection_kitti with Apache License 2.0 6 votes vote down vote up 
def testSimple(self):
    labels = [9, 3, 0]
    records = [self._record(labels[0], 0, 128, 255),
               self._record(labels[1], 255, 0, 1),
               self._record(labels[2], 254, 255, 0)]
    contents = b"".join([record for record, _ in records])
    expected = [expected for _, expected in records]
    filename = os.path.join(self.get_temp_dir(), "cifar")
    open(filename, "wb").write(contents)

    with self.test_session() as sess:
      q = tf.FIFOQueue(99, [tf.string], shapes=())
      q.enqueue([filename]).run()
      q.close().run()
      result = cifar10_input.read_cifar10(q)

      for i in range(3):
        key, label, uint8image = sess.run([
            result.key, result.label, result.uint8image])
        self.assertEqual("%s:%d" % (filename, i), tf.compat.as_text(key))
        self.assertEqual(labels[i], label)
        self.assertAllEqual(expected[i], uint8image)

      with self.assertRaises(tf.errors.OutOfRangeError):
        sess.run([result.key, result.uint8image])
Example #9
Source File: cifar10_input_test.py    From object_detection_with_tensorflow with MIT License 6 votes vote down vote up 
def testSimple(self):
    labels = [9, 3, 0]
    records = [self._record(labels[0], 0, 128, 255),
               self._record(labels[1], 255, 0, 1),
               self._record(labels[2], 254, 255, 0)]
    contents = b"".join([record for record, _ in records])
    expected = [expected for _, expected in records]
    filename = os.path.join(self.get_temp_dir(), "cifar")
    open(filename, "wb").write(contents)

    with self.test_session() as sess:
      q = tf.FIFOQueue(99, [tf.string], shapes=())
      q.enqueue([filename]).run()
      q.close().run()
      result = cifar10_input.read_cifar10(q)

      for i in range(3):
        key, label, uint8image = sess.run([
            result.key, result.label, result.uint8image])
        self.assertEqual("%s:%d" % (filename, i), tf.compat.as_text(key))
        self.assertEqual(labels[i], label)
        self.assertAllEqual(expected[i], uint8image)

      with self.assertRaises(tf.errors.OutOfRangeError):
        sess.run([result.key, result.uint8image])
Example #10
Source File: cifar10_input_test.py    From TensorFlow-HelloWorld with Apache License 2.0 6 votes vote down vote up 
def testSimple(self):
    labels = [9, 3, 0]
    records = [self._record(labels[0], 0, 128, 255),
               self._record(labels[1], 255, 0, 1),
               self._record(labels[2], 254, 255, 0)]
    contents = b"".join([record for record, _ in records])
    expected = [expected for _, expected in records]
    filename = os.path.join(self.get_temp_dir(), "cifar")
    open(filename, "wb").write(contents)

    with self.test_session() as sess:
      q = tf.FIFOQueue(99, [tf.string], shapes=())
      q.enqueue([filename]).run()
      q.close().run()
      result = cifar10_input.read_cifar10(q)

      for i in range(3):
        key, label, uint8image = sess.run([
            result.key, result.label, result.uint8image])
        self.assertEqual("%s:%d" % (filename, i), tf.compat.as_text(key))
        self.assertEqual(labels[i], label)
        self.assertAllEqual(expected[i], uint8image)

      with self.assertRaises(tf.errors.OutOfRangeError):
        sess.run([result.key, result.uint8image])
Example #11
Source File: cifar10_input_test.py    From HumanRecognition with MIT License 6 votes vote down vote up 
def testSimple(self):
    labels = [9, 3, 0]
    records = [self._record(labels[0], 0, 128, 255),
               self._record(labels[1], 255, 0, 1),
               self._record(labels[2], 254, 255, 0)]
    contents = b"".join([record for record, _ in records])
    expected = [expected for _, expected in records]
    filename = os.path.join(self.get_temp_dir(), "cifar")
    open(filename, "wb").write(contents)

    with self.test_session() as sess:
      q = tf.FIFOQueue(99, [tf.string], shapes=())
      q.enqueue([filename]).run()
      q.close().run()
      result = cifar10_input.read_cifar10(q)

      for i in range(3):
        key, label, uint8image = sess.run([
            result.key, result.label, result.uint8image])
        self.assertEqual("%s:%d" % (filename, i), tf.compat.as_text(key))
        self.assertEqual(labels[i], label)
        self.assertAllEqual(expected[i], uint8image)

      with self.assertRaises(tf.errors.OutOfRangeError):
        sess.run([result.key, result.uint8image])
Example #12
Source File: cifar10_input_test.py    From g-tensorflow-models with Apache License 2.0 6 votes vote down vote up 
def testSimple(self):
    labels = [9, 3, 0]
    records = [self._record(labels[0], 0, 128, 255),
               self._record(labels[1], 255, 0, 1),
               self._record(labels[2], 254, 255, 0)]
    contents = b"".join([record for record, _ in records])
    expected = [expected for _, expected in records]
    filename = os.path.join(self.get_temp_dir(), "cifar")
    open(filename, "wb").write(contents)

    with self.test_session() as sess:
      q = tf.FIFOQueue(99, [tf.string], shapes=())
      q.enqueue([filename]).run()
      q.close().run()
      result = cifar10_input.read_cifar10(q)

      for i in range(3):
        key, label, uint8image = sess.run([
            result.key, result.label, result.uint8image])
        self.assertEqual("%s:%d" % (filename, i), tf.compat.as_text(key))
        self.assertEqual(labels[i], label)
        self.assertAllEqual(expected[i], uint8image)

      with self.assertRaises(tf.errors.OutOfRangeError):
        sess.run([result.key, result.uint8image])
Example #13
Source File: cifar10_input_test.py    From DOTA_models with Apache License 2.0 5 votes vote down vote up 
def testSimple(self):
    labels = [9, 3, 0]
    records = [self._record(labels[0], 0, 128, 255),
               self._record(labels[1], 255, 0, 1),
               self._record(labels[2], 254, 255, 0)]
    contents = b"".join([record for record, _ in records])
    expected = [expected for _, expected in records]
    filename = os.path.join(self.get_temp_dir(), "cifar")
    open(filename, "wb").write(contents)

    with self.test_session() as sess:
      q = tf.FIFOQueue(99, [tf.string], shapes=())
      q.enqueue([filename]).run()
      q.close().run()
      result = cifar10_input.read_cifar10(q)

      for i in range(3):
        key, label, uint8image = sess.run([
            result.key, result.label, result.uint8image])
        self.assertEqual("%s:%d" % (filename, i), tf.compat.as_text(key))
        self.assertEqual(labels[i], label)
        self.assertAllEqual(expected[i], uint8image)

      with self.assertRaises(tf.errors.OutOfRangeError):
        sess.run([result.key, result.uint8image])