Python evaluate示例

示例#1

文件： imagenet_eval.py 项目： 1206lyp/models

def main(unused_argv=None):
  dataset = ImagenetData(subset=FLAGS.subset)
  assert dataset.data_files()
  if tf.gfile.Exists(FLAGS.eval_dir):
    tf.gfile.DeleteRecursively(FLAGS.eval_dir)
  tf.gfile.MakeDirs(FLAGS.eval_dir)
  inception_eval.evaluate(dataset)

示例#2

文件： sketch_eval.py 项目： wizardfishball/models

def main(unused_argv=None):
    dataset = SketchData(subset=FLAGS.subset)
    assert dataset.data_files()
    if tf.gfile.Exists(FLAGS.eval_dir):
        tf.gfile.DeleteRecursively(FLAGS.eval_dir)
    tf.gfile.MakeDirs(FLAGS.eval_dir)
    inception_eval.evaluate(dataset)

示例#3

文件： distracted_eval.py 项目： jeremy-poorhouse/models

def main(unused_argv=None):
  dataset = DistractedData(subset=FLAGS.subset, examples=int(FLAGS.examples))
  assert dataset.data_files()
  if tf.gfile.Exists(FLAGS.eval_dir):
    tf.gfile.DeleteRecursively(FLAGS.eval_dir)
  tf.gfile.MakeDirs(FLAGS.eval_dir)
  inception_eval.evaluate(dataset)

示例#4

文件： imagenet_eval.py 项目： shamanez/sensor_fusion_GPU_training-

def main(unused_argv=None):
  csvFileList,csvEvalFileList=select_csv()

  if tf.gfile.Exists(FLAGS.eval_dir):
    tf.gfile.DeleteRecursively(FLAGS.eval_dir)
  tf.gfile.MakeDirs(FLAGS.eval_dir)
  inception_eval.evaluate(csvEvalFileList)

示例#5

def main(unused_argv=None):
    dataset = MnistData(subset=FLAGS.subset)
    assert dataset.data_files()
    if tf.gfile.Exists(FLAGS.eval_dir):
        tf.gfile.DeleteRecursively(FLAGS.eval_dir)
    tf.gfile.MakeDirs(FLAGS.eval_dir)
    FLAGS.dataset_name = 'mnist'
    FLAGS.num_examples = dataset.num_examples_per_epoch()
    inception_eval.evaluate(dataset)

示例#6

文件： imagenet_eval.py 项目： zofuthan/TensorFlowOnSpark

def main_fun(argv, ctx):
    import tensorflow as tf
    from inception import inception_eval
    from inception.imagenet_data import ImagenetData

    print("argv:", argv)
    sys.argv = argv

    FLAGS = tf.app.flags.FLAGS
    FLAGS._parse_flags()
    print("FLAGS:", FLAGS.__dict__['__flags'])

    dataset = ImagenetData(subset=FLAGS.subset)
    assert dataset.data_files()
    if tf.gfile.Exists(FLAGS.eval_dir):
        tf.gfile.DeleteRecursively(FLAGS.eval_dir)
    tf.gfile.MakeDirs(FLAGS.eval_dir)

    cluster_spec, server = TFNode.start_cluster_server(ctx, 1, FLAGS.rdma)

    inception_eval.evaluate(dataset)

示例#7

文件： imagenet_eval.py 项目： Aravindreddy986/TensorFlowOnSpark

def main_fun(argv, ctx):
  import tensorflow as tf
  from inception import inception_eval
  from inception.imagenet_data import ImagenetData

  print("argv:", argv)
  sys.argv = argv

  FLAGS = tf.app.flags.FLAGS
  FLAGS._parse_flags()
  print("FLAGS:", FLAGS.__dict__['__flags'])

  dataset = ImagenetData(subset=FLAGS.subset)
  assert dataset.data_files()
  if tf.gfile.Exists(FLAGS.eval_dir):
    tf.gfile.DeleteRecursively(FLAGS.eval_dir)
  tf.gfile.MakeDirs(FLAGS.eval_dir)

  cluster_spec, server = TFNode.start_cluster_server(ctx)

  inception_eval.evaluate(dataset)