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Python input_reader_builder.build方法代码示例

本文整理汇总了Python中object_detection.builders.input_reader_builder.build方法的典型用法代码示例。如果您正苦于以下问题:Python input_reader_builder.build方法的具体用法?Python input_reader_builder.build怎么用?Python input_reader_builder.build使用的例子?那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在object_detection.builders.input_reader_builder的用法示例。


在下文中一共展示了input_reader_builder.build方法的8个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。

示例1: main

# 需要导入模块: from object_detection.builders import input_reader_builder [as 别名]
# 或者: from object_detection.builders.input_reader_builder import build [as 别名]
def main(unused_argv):
  assert FLAGS.checkpoint_dir, '`checkpoint_dir` is missing.'
  assert FLAGS.eval_dir, '`eval_dir` is missing.'
  if FLAGS.pipeline_config_path:
    model_config, eval_config, input_config = get_configs_from_pipeline_file()
  else:
    model_config, eval_config, input_config = get_configs_from_multiple_files()

  model_fn = functools.partial(
      model_builder.build,
      model_config=model_config,
      is_training=False)

  create_input_dict_fn = functools.partial(
      input_reader_builder.build,
      input_config)

  label_map = label_map_util.load_labelmap(input_config.label_map_path)
  max_num_classes = max([item.id for item in label_map.item])
  categories = label_map_util.convert_label_map_to_categories(
      label_map, max_num_classes)

  evaluator.evaluate(create_input_dict_fn, model_fn, eval_config, categories,
                     FLAGS.checkpoint_dir, FLAGS.eval_dir) 
开发者ID:ringringyi,项目名称:DOTA_models,代码行数:26,代码来源:eval.py

示例2: main

# 需要导入模块: from object_detection.builders import input_reader_builder [as 别名]
# 或者: from object_detection.builders.input_reader_builder import build [as 别名]
def main(unused_argv):
  assert FLAGS.checkpoint_dir, '`checkpoint_dir` is missing.'
  assert FLAGS.eval_dir, '`eval_dir` is missing.'
  model_config, train_config, input_config, eval_config = get_configs_from_pipeline_file()

  model_fn = functools.partial(
      build_man_model,
      model_config=model_config,
      is_training=False)

  create_input_dict_fn = functools.partial(
      input_reader_builder.build,
      input_config)

  label_map = label_map_util.load_labelmap(input_config.label_map_path)
  max_num_classes = max([item.id for item in label_map.item])
  categories = label_map_util.convert_label_map_to_categories(
      label_map, max_num_classes)

  evaluator.evaluate(create_input_dict_fn, model_fn, eval_config, categories,
                     FLAGS.checkpoint_dir, FLAGS.eval_dir) 
开发者ID:xiaobai1217,项目名称:MBMD,代码行数:23,代码来源:eval.py

示例3: test_build_tf_record_input_reader

# 需要导入模块: from object_detection.builders import input_reader_builder [as 别名]
# 或者: from object_detection.builders.input_reader_builder import build [as 别名]
def test_build_tf_record_input_reader(self):
    tf_record_path = self.create_tf_record()

    input_reader_text_proto = """
      shuffle: false
      num_readers: 1
      tf_record_input_reader {{
        input_path: '{0}'
      }}
    """.format(tf_record_path)
    input_reader_proto = input_reader_pb2.InputReader()
    text_format.Merge(input_reader_text_proto, input_reader_proto)
    tensor_dict = input_reader_builder.build(input_reader_proto)

    sv = tf.train.Supervisor(logdir=self.get_temp_dir())
    with sv.prepare_or_wait_for_session() as sess:
      sv.start_queue_runners(sess)
      output_dict = sess.run(tensor_dict)

    self.assertEquals(
        (4, 5, 3), output_dict[fields.InputDataFields.image].shape)
    self.assertEquals(
        [2], output_dict[fields.InputDataFields.groundtruth_classes])
    self.assertEquals(
        (1, 4), output_dict[fields.InputDataFields.groundtruth_boxes].shape)
    self.assertAllEqual(
        [0.0, 0.0, 1.0, 1.0],
        output_dict[fields.InputDataFields.groundtruth_boxes][0]) 
开发者ID:ringringyi,项目名称:DOTA_models,代码行数:30,代码来源:input_reader_builder_test.py

示例4: test_build_tf_record_input_reader

# 需要导入模块: from object_detection.builders import input_reader_builder [as 别名]
# 或者: from object_detection.builders.input_reader_builder import build [as 别名]
def test_build_tf_record_input_reader(self):
    tf_record_path = self.create_tf_record()

    input_reader_text_proto = """
      shuffle: false
      num_readers: 1
      tf_record_input_reader {{
        input_path: '{0}'
      }}
    """.format(tf_record_path)
    input_reader_proto = input_reader_pb2.InputReader()
    text_format.Merge(input_reader_text_proto, input_reader_proto)
    tensor_dict = input_reader_builder.build(input_reader_proto)

    with tf.train.MonitoredSession() as sess:
      output_dict = sess.run(tensor_dict)

    self.assertTrue(fields.InputDataFields.groundtruth_instance_masks
                    not in output_dict)
    self.assertEquals(
        (4, 5, 3), output_dict[fields.InputDataFields.image].shape)
    self.assertEquals(
        [2], output_dict[fields.InputDataFields.groundtruth_classes])
    self.assertEquals(
        (1, 4), output_dict[fields.InputDataFields.groundtruth_boxes].shape)
    self.assertAllEqual(
        [0.0, 0.0, 1.0, 1.0],
        output_dict[fields.InputDataFields.groundtruth_boxes][0]) 
开发者ID:ahmetozlu,项目名称:vehicle_counting_tensorflow,代码行数:30,代码来源:input_reader_builder_test.py

示例5: test_build_tf_record_input_reader_and_load_instance_masks

# 需要导入模块: from object_detection.builders import input_reader_builder [as 别名]
# 或者: from object_detection.builders.input_reader_builder import build [as 别名]
def test_build_tf_record_input_reader_and_load_instance_masks(self):
    tf_record_path = self.create_tf_record()

    input_reader_text_proto = """
      shuffle: false
      num_readers: 1
      load_instance_masks: true
      tf_record_input_reader {{
        input_path: '{0}'
      }}
    """.format(tf_record_path)
    input_reader_proto = input_reader_pb2.InputReader()
    text_format.Merge(input_reader_text_proto, input_reader_proto)
    tensor_dict = input_reader_builder.build(input_reader_proto)

    with tf.train.MonitoredSession() as sess:
      output_dict = sess.run(tensor_dict)

    self.assertEquals(
        (4, 5, 3), output_dict[fields.InputDataFields.image].shape)
    self.assertEquals(
        [2], output_dict[fields.InputDataFields.groundtruth_classes])
    self.assertEquals(
        (1, 4), output_dict[fields.InputDataFields.groundtruth_boxes].shape)
    self.assertAllEqual(
        [0.0, 0.0, 1.0, 1.0],
        output_dict[fields.InputDataFields.groundtruth_boxes][0])
    self.assertAllEqual(
        (1, 4, 5),
        output_dict[fields.InputDataFields.groundtruth_instance_masks].shape) 
开发者ID:ahmetozlu,项目名称:vehicle_counting_tensorflow,代码行数:32,代码来源:input_reader_builder_test.py

示例6: test_raises_error_with_no_input_paths

# 需要导入模块: from object_detection.builders import input_reader_builder [as 别名]
# 或者: from object_detection.builders.input_reader_builder import build [as 别名]
def test_raises_error_with_no_input_paths(self):
    input_reader_text_proto = """
      shuffle: false
      num_readers: 1
      load_instance_masks: true
    """
    input_reader_proto = input_reader_pb2.InputReader()
    text_format.Merge(input_reader_text_proto, input_reader_proto)
    with self.assertRaises(ValueError):
      input_reader_builder.build(input_reader_proto) 
开发者ID:ahmetozlu,项目名称:vehicle_counting_tensorflow,代码行数:12,代码来源:input_reader_builder_test.py

示例7: test_build_tf_record_input_reader

# 需要导入模块: from object_detection.builders import input_reader_builder [as 别名]
# 或者: from object_detection.builders.input_reader_builder import build [as 别名]
def test_build_tf_record_input_reader(self):
    tf_record_path = self.create_tf_record()

    input_reader_text_proto = """
      shuffle: false
      num_readers: 1
      tf_record_input_reader {{
        input_path: '{0}'
      }}
    """.format(tf_record_path)
    input_reader_proto = input_reader_pb2.InputReader()
    text_format.Merge(input_reader_text_proto, input_reader_proto)
    tensor_dict = input_reader_builder.build(input_reader_proto)

    sv = tf.train.Supervisor(logdir=self.get_temp_dir())
    with sv.prepare_or_wait_for_session() as sess:
      sv.start_queue_runners(sess)
      output_dict = sess.run(tensor_dict)

    self.assertTrue(fields.InputDataFields.groundtruth_instance_masks
                    not in output_dict)
    self.assertEquals(
        (4, 5, 3), output_dict[fields.InputDataFields.image].shape)
    self.assertEquals(
        [2], output_dict[fields.InputDataFields.groundtruth_classes])
    self.assertEquals(
        (1, 4), output_dict[fields.InputDataFields.groundtruth_boxes].shape)
    self.assertAllEqual(
        [0.0, 0.0, 1.0, 1.0],
        output_dict[fields.InputDataFields.groundtruth_boxes][0]) 
开发者ID:cagbal,项目名称:ros_people_object_detection_tensorflow,代码行数:32,代码来源:input_reader_builder_test.py

示例8: test_build_tf_record_input_reader_and_load_instance_masks

# 需要导入模块: from object_detection.builders import input_reader_builder [as 别名]
# 或者: from object_detection.builders.input_reader_builder import build [as 别名]
def test_build_tf_record_input_reader_and_load_instance_masks(self):
    tf_record_path = self.create_tf_record()

    input_reader_text_proto = """
      shuffle: false
      num_readers: 1
      load_instance_masks: true
      tf_record_input_reader {{
        input_path: '{0}'
      }}
    """.format(tf_record_path)
    input_reader_proto = input_reader_pb2.InputReader()
    text_format.Merge(input_reader_text_proto, input_reader_proto)
    tensor_dict = input_reader_builder.build(input_reader_proto)

    sv = tf.train.Supervisor(logdir=self.get_temp_dir())
    with sv.prepare_or_wait_for_session() as sess:
      sv.start_queue_runners(sess)
      output_dict = sess.run(tensor_dict)

    self.assertEquals(
        (4, 5, 3), output_dict[fields.InputDataFields.image].shape)
    self.assertEquals(
        [2], output_dict[fields.InputDataFields.groundtruth_classes])
    self.assertEquals(
        (1, 4), output_dict[fields.InputDataFields.groundtruth_boxes].shape)
    self.assertAllEqual(
        [0.0, 0.0, 1.0, 1.0],
        output_dict[fields.InputDataFields.groundtruth_boxes][0])
    self.assertAllEqual(
        (1, 4, 5),
        output_dict[fields.InputDataFields.groundtruth_instance_masks].shape) 
开发者ID:cagbal,项目名称:ros_people_object_detection_tensorflow,代码行数:34,代码来源:input_reader_builder_test.py


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