def main(_): dataset = FlowersData(subset=FLAGS.subset) assert dataset.data_files() if tf.gfile.Exists(FLAGS.train_dir): tf.gfile.DeleteRecursively(FLAGS.train_dir) tf.gfile.MakeDirs(FLAGS.train_dir) inception_train.train(dataset)
def main(_): dataset = ImagenetData(subset=FLAGS.subset) assert dataset.data_files() if tf.gfile.Exists(FLAGS.train_dir): tf.gfile.DeleteRecursively(FLAGS.train_dir) tf.gfile.MakeDirs(FLAGS.train_dir) inception_train.train(dataset)
def main(unused_argv=None): dataset = CamelyonData(subset=FLAGS.subset) assert dataset.data_files() if tf.gfile.Exists(FLAGS.train_dir): tf.gfile.DeleteRecursively(FLAGS.train_dir) tf.gfile.MakeDirs(FLAGS.train_dir) inception_train.train(dataset)
def main(_): tf.set_random_seed(1234567) dataset = ImagenetData(subset=FLAGS.subset) assert dataset.data_files() if tf.gfile.Exists(FLAGS.train_dir): tf.gfile.DeleteRecursively(FLAGS.train_dir) tf.gfile.MakeDirs(FLAGS.train_dir) inception_train.train(dataset)
def main(_): dataset = Cifar10Data(subset=FLAGS.subset) assert dataset.data_files() if tf.gfile.Exists(FLAGS.train_dir): tf.gfile.DeleteRecursively(FLAGS.train_dir) tf.gfile.MakeDirs(FLAGS.train_dir) FLAGS.dataset_name = 'cifar10' inception_train.train(dataset)
def main(_): print('===================================') print(FLAGS.subset) dataset = PlaceData(subset=FLAGS.subset) assert dataset.data_files() if tf.gfile.Exists(FLAGS.train_dir): tf.gfile.DeleteRecursively(FLAGS.train_dir) tf.gfile.MakeDirs(FLAGS.train_dir) inception_train.train(dataset)
def main(_): dataset = FlowersData(subset=FLAGS.subset) assert dataset.data_files() if tf.gfile.Exists(FLAGS.train_dir): print('Dir already exits...') sys.exit() tf.gfile.DeleteRecursively(FLAGS.train_dir) tf.gfile.MakeDirs(FLAGS.train_dir) inception_train.train(dataset)
def main(_): dataset = FlowersData(subset='train') validation_dataset = FlowersData(subset='validation') assert dataset.data_files() if tf.gfile.Exists(FLAGS.train_dir): print('WARNING: About to delete active train directory...') time.sleep(3) tf.gfile.DeleteRecursively(FLAGS.train_dir) tf.gfile.MakeDirs(FLAGS.train_dir) inception_train.train(dataset, validation_dataset)
def main(_): dataset = DistractedData(subset=FLAGS.subset, examples=int(FLAGS.examples)) assert dataset.data_files() if tf.gfile.Exists(FLAGS.train_dir): tf.gfile.DeleteRecursively(FLAGS.train_dir) tf.gfile.MakeDirs(FLAGS.train_dir) if FLAGS.model == 'inception': inception_train.train(dataset) elif FLAGS.model == 'vgg': vgg_train.train(dataset) else: assert False, "%s model not defined" % (FLAGS.model)
def main(_): csvFileList, csvEvalFileList = select_csv() inception_train.train(csvFileList)
def main(_): dataset = CVData(subset=FLAGS.subset) assert dataset.data_files() if not tf.gfile.Exists(FLAGS.train_dir): tf.gfile.MakeDirs(FLAGS.train_dir) inception_train.train(dataset)