Python object_detection.utils.label_map_util.load_labelmap() Examples

The following are 30 code examples of object_detection.utils.label_map_util.load_labelmap(). 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 object_detection.utils.label_map_util , or try the search function .
Example #1
Source File: label_map_util_test.py    From MBMD with MIT License 6 votes vote down vote up 
def test_load_bad_label_map(self):
    label_map_string = """
      item {
        id:0
        name:'class that should not be indexed at zero'
      }
      item {
        id:2
        name:'cat'
      }
      item {
        id:1
        name:'dog'
      }
    """
    label_map_path = os.path.join(self.get_temp_dir(), 'label_map.pbtxt')
    with tf.gfile.Open(label_map_path, 'wb') as f:
      f.write(label_map_string)

    with self.assertRaises(ValueError):
      label_map_util.load_labelmap(label_map_path)
Example #2
Source File: label_map_util_test.py    From yolo_v2 with Apache License 2.0 6 votes vote down vote up 
def test_load_bad_label_map(self):
    label_map_string = """
      item {
        id:0
        name:'class that should not be indexed at zero'
      }
      item {
        id:2
        name:'cat'
      }
      item {
        id:1
        name:'dog'
      }
    """
    label_map_path = os.path.join(self.get_temp_dir(), 'label_map.pbtxt')
    with tf.gfile.Open(label_map_path, 'wb') as f:
      f.write(label_map_string)

    with self.assertRaises(ValueError):
      label_map_util.load_labelmap(label_map_path)
Example #3
Source File: eval.py    From tensorflow with BSD 2-Clause "Simplified" License 6 votes vote down vote up 
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)
Example #4
Source File: object_detection_trainer.py    From CVTron with Apache License 2.0 6 votes vote down vote up 
def evaluate(self, eval_pipeline_file, model_dir, eval_dir):
        configs = self._get_configs_from_pipeline_file(eval_pipeline_file)
        model_config = configs['model']
        eval_config = configs['eval_config']
        input_config = configs['eval_input_config']
        model_fn = functools.partial(
            model_builder.build,
            model_config=model_config,
            is_training=True)
        create_input_dict_fn = functools.partial(self.get_next, 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,
                        model_dir, eval_dir)
Example #5
Source File: label_map_util_test.py    From Traffic-Rule-Violation-Detection-System with MIT License 6 votes vote down vote up 
def test_load_bad_label_map(self):
    label_map_string = """
      item {
        id:0
        name:'class that should not be indexed at zero'
      }
      item {
        id:2
        name:'cat'
      }
      item {
        id:1
        name:'dog'
      }
    """
    label_map_path = os.path.join(self.get_temp_dir(), 'label_map.pbtxt')
    with tf.gfile.Open(label_map_path, 'wb') as f:
      f.write(label_map_string)

    with self.assertRaises(ValueError):
      label_map_util.load_labelmap(label_map_path)
Example #6
Source File: label_map_util_test.py    From Gun-Detector with Apache License 2.0 6 votes vote down vote up 
def test_load_bad_label_map(self):
    label_map_string = """
      item {
        id:0
        name:'class that should not be indexed at zero'
      }
      item {
        id:2
        name:'cat'
      }
      item {
        id:1
        name:'dog'
      }
    """
    label_map_path = os.path.join(self.get_temp_dir(), 'label_map.pbtxt')
    with tf.gfile.Open(label_map_path, 'wb') as f:
      f.write(label_map_string)

    with self.assertRaises(ValueError):
      label_map_util.load_labelmap(label_map_path)
Example #7
Source File: label_map_util_test.py    From ros_tensorflow with Apache License 2.0 6 votes vote down vote up 
def test_load_bad_label_map(self):
    label_map_string = """
      item {
        id:0
        name:'class that should not be indexed at zero'
      }
      item {
        id:2
        name:'cat'
      }
      item {
        id:1
        name:'dog'
      }
    """
    label_map_path = os.path.join(self.get_temp_dir(), 'label_map.pbtxt')
    with tf.gfile.Open(label_map_path, 'wb') as f:
      f.write(label_map_string)

    with self.assertRaises(ValueError):
      label_map_util.load_labelmap(label_map_path)
Example #8
Source File: label_map_util_test.py    From BMW-TensorFlow-Training-GUI with Apache License 2.0 6 votes vote down vote up 
def test_load_bad_label_map(self):
    label_map_string = """
      item {
        id:0
        name:'class that should not be indexed at zero'
      }
      item {
        id:2
        name:'cat'
      }
      item {
        id:1
        name:'dog'
      }
    """
    label_map_path = os.path.join(self.get_temp_dir(), 'label_map.pbtxt')
    with tf.gfile.Open(label_map_path, 'wb') as f:
      f.write(label_map_string)

    with self.assertRaises(ValueError):
      label_map_util.load_labelmap(label_map_path)
Example #9
Source File: eval.py    From moveo_ros with MIT License 6 votes vote down vote up 
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)
Example #10
Source File: eval.py    From hands-detection with MIT License 6 votes vote down vote up 
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)
Example #11
Source File: label_map_util_test.py    From Live-feed-object-device-identification-using-Tensorflow-and-OpenCV with Apache License 2.0 6 votes vote down vote up 
def test_load_bad_label_map(self):
    label_map_string = """
      item {
        id:0
        name:'class that should not be indexed at zero'
      }
      item {
        id:2
        name:'cat'
      }
      item {
        id:1
        name:'dog'
      }
    """
    label_map_path = os.path.join(self.get_temp_dir(), 'label_map.pbtxt')
    with tf.gfile.Open(label_map_path, 'wb') as f:
      f.write(label_map_string)

    with self.assertRaises(ValueError):
      label_map_util.load_labelmap(label_map_path)
Example #12
Source File: label_map_util_test.py    From object_detection_kitti with Apache License 2.0 6 votes vote down vote up 
def test_load_bad_label_map(self):
    label_map_string = """
      item {
        id:0
        name:'class that should not be indexed at zero'
      }
      item {
        id:2
        name:'cat'
      }
      item {
        id:1
        name:'dog'
      }
    """
    label_map_path = os.path.join(self.get_temp_dir(), 'label_map.pbtxt')
    with tf.gfile.Open(label_map_path, 'wb') as f:
      f.write(label_map_string)

    with self.assertRaises(ValueError):
      label_map_util.load_labelmap(label_map_path)
Example #13
Source File: eval.py    From object_detection_kitti with Apache License 2.0 6 votes vote down vote up 
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)
Example #14
Source File: eval.py    From MBMD with MIT License 6 votes vote down vote up 
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)
Example #15
Source File: visualize_seq.py    From MBMD with MIT License 6 votes vote down vote up 
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.read_seq, 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)

  visualizer_seq.evaluate(create_input_dict_fn, model_fn, eval_config, categories,
                     FLAGS.checkpoint_dir, FLAGS.eval_dir, FLAGS.image_root)
Example #16
Source File: eval.py    From object_detector_app with MIT License 6 votes vote down vote up 
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)
Example #17
Source File: eval.py    From MBMD with MIT License 6 votes vote down vote up 
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)
Example #18
Source File: visualize_res.py    From MBMD with MIT License 6 votes vote down vote up 
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.read,
      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)

  visualizer.evaluate(create_input_dict_fn, model_fn, eval_config, categories,
                     FLAGS.checkpoint_dir, FLAGS.eval_dir, FLAGS.image_root)
Example #19
Source File: label_map_util_test.py    From Elphas with Apache License 2.0 6 votes vote down vote up 
def test_load_bad_label_map(self):
    label_map_string = """
      item {
        id:0
        name:'class that should not be indexed at zero'
      }
      item {
        id:2
        name:'cat'
      }
      item {
        id:1
        name:'dog'
      }
    """
    label_map_path = os.path.join(self.get_temp_dir(), 'label_map.pbtxt')
    with tf.gfile.Open(label_map_path, 'wb') as f:
      f.write(label_map_string)

    with self.assertRaises(ValueError):
      label_map_util.load_labelmap(label_map_path)
Example #20
Source File: label_map_util_test.py    From object_detection_with_tensorflow with MIT License 6 votes vote down vote up 
def test_load_bad_label_map(self):
    label_map_string = """
      item {
        id:0
        name:'class that should not be indexed at zero'
      }
      item {
        id:2
        name:'cat'
      }
      item {
        id:1
        name:'dog'
      }
    """
    label_map_path = os.path.join(self.get_temp_dir(), 'label_map.pbtxt')
    with tf.gfile.Open(label_map_path, 'wb') as f:
      f.write(label_map_string)

    with self.assertRaises(ValueError):
      label_map_util.load_labelmap(label_map_path)
Example #21
Source File: label_map_util_test.py    From object_detection_with_tensorflow with MIT License 6 votes vote down vote up 
def test_load_bad_label_map(self):
    label_map_string = """
      item {
        id:0
        name:'class that should not be indexed at zero'
      }
      item {
        id:2
        name:'cat'
      }
      item {
        id:1
        name:'dog'
      }
    """
    label_map_path = os.path.join(self.get_temp_dir(), 'label_map.pbtxt')
    with tf.gfile.Open(label_map_path, 'wb') as f:
      f.write(label_map_string)

    with self.assertRaises(ValueError):
      label_map_util.load_labelmap(label_map_path)
Example #22
Source File: label_map_util_test.py    From AniSeg with Apache License 2.0 6 votes vote down vote up 
def test_load_bad_label_map(self):
    label_map_string = """
      item {
        id:0
        name:'class that should not be indexed at zero'
      }
      item {
        id:2
        name:'cat'
      }
      item {
        id:1
        name:'dog'
      }
    """
    label_map_path = os.path.join(self.get_temp_dir(), 'label_map.pbtxt')
    with tf.gfile.Open(label_map_path, 'wb') as f:
      f.write(label_map_string)

    with self.assertRaises(ValueError):
      label_map_util.load_labelmap(label_map_path)
Example #23
Source File: label_map_util_test.py    From MAX-Object-Detector with Apache License 2.0 6 votes vote down vote up 
def test_load_bad_label_map(self):
    label_map_string = """
      item {
        id:0
        name:'class that should not be indexed at zero'
      }
      item {
        id:2
        name:'cat'
      }
      item {
        id:1
        name:'dog'
      }
    """
    label_map_path = os.path.join(self.get_temp_dir(), 'label_map.pbtxt')
    with tf.gfile.Open(label_map_path, 'wb') as f:
      f.write(label_map_string)

    with self.assertRaises(ValueError):
      label_map_util.load_labelmap(label_map_path)
Example #24
Source File: label_map_util_test.py    From open-solution-googleai-object-detection with MIT License 6 votes vote down vote up 
def test_load_bad_label_map(self):
    label_map_string = """
      item {
        id:0
        name:'class that should not be indexed at zero'
      }
      item {
        id:2
        name:'cat'
      }
      item {
        id:1
        name:'dog'
      }
    """
    label_map_path = os.path.join(self.get_temp_dir(), 'label_map.pbtxt')
    with tf.gfile.Open(label_map_path, 'wb') as f:
      f.write(label_map_string)

    with self.assertRaises(ValueError):
      label_map_util.load_labelmap(label_map_path)
Example #25
Source File: inference.py    From Accident-Detection-on-Indian-Roads with GNU Affero General Public License v3.0 6 votes vote down vote up 
def load_details(args):

    PATH_TO_CKPT = args.frozen_graph
    PATH_TO_LABELS = args.label_map
    NUM_CLASSES = args.num_output_classes
    PATH_TO_TEST_IMAGES_DIR = args.input_dir
    PATH_TO_RESULT_IMAGES_DIR = args.output_dir

    if not os.path.exists(args.output_dir):
        os.mkdir(args.output_dir)

    TEST_IMAGE_PATHS = sorted(glob.glob(os.path.join(PATH_TO_TEST_IMAGES_DIR, '*.jpg')))
    JPG_PATHS = [ os.path.basename(path) for path in TEST_IMAGE_PATHS ]
    RESULT_IMAGE_PATHS = [ os.path.join(PATH_TO_RESULT_IMAGES_DIR, jpg_path) for jpg_path in JPG_PATHS ]

    label_map = label_map_util.load_labelmap(PATH_TO_LABELS)
    categories = label_map_util.convert_label_map_to_categories(label_map, max_num_classes=NUM_CLASSES, use_display_name=True)
    category_index = label_map_util.create_category_index(categories)

    return TEST_IMAGE_PATHS, RESULT_IMAGE_PATHS, category_index
Example #26
Source File: label_map_util_test.py    From g-tensorflow-models with Apache License 2.0 6 votes vote down vote up 
def test_load_bad_label_map(self):
    label_map_string = """
      item {
        id:0
        name:'class that should not be indexed at zero'
      }
      item {
        id:2
        name:'cat'
      }
      item {
        id:1
        name:'dog'
      }
    """
    label_map_path = os.path.join(self.get_temp_dir(), 'label_map.pbtxt')
    with tf.gfile.Open(label_map_path, 'wb') as f:
      f.write(label_map_string)

    with self.assertRaises(ValueError):
      label_map_util.load_labelmap(label_map_path)
Example #27
Source File: label_map_util_test.py    From models with Apache License 2.0 6 votes vote down vote up 
def test_load_bad_label_map(self):
    label_map_string = """
      item {
        id:0
        name:'class that should not be indexed at zero'
      }
      item {
        id:2
        name:'cat'
      }
      item {
        id:1
        name:'dog'
      }
    """
    label_map_path = os.path.join(self.get_temp_dir(), 'label_map.pbtxt')
    with tf.gfile.Open(label_map_path, 'wb') as f:
      f.write(label_map_string)

    with self.assertRaises(ValueError):
      label_map_util.load_labelmap(label_map_path)
Example #28
Source File: label_map_util_test.py    From motion-rcnn with MIT License 6 votes vote down vote up 
def test_load_bad_label_map(self):
    label_map_string = """
      item {
        id:0
        name:'class that should not be indexed at zero'
      }
      item {
        id:2
        name:'cat'
      }
      item {
        id:1
        name:'dog'
      }
    """
    label_map_path = os.path.join(self.get_temp_dir(), 'label_map.pbtxt')
    with tf.gfile.Open(label_map_path, 'wb') as f:
      f.write(label_map_string)

    with self.assertRaises(ValueError):
      label_map_util.load_labelmap(label_map_path)
Example #29
Source File: label_map_util_test.py    From mtl-ssl with Apache License 2.0 6 votes vote down vote up 
def test_load_bad_label_map(self):
    label_map_string = """
      item {
        id:0
        name:'class that should not be indexed at zero'
      }
      item {
        id:2
        name:'cat'
      }
      item {
        id:1
        name:'dog'
      }
    """
    label_map_path = os.path.join(self.get_temp_dir(), 'label_map.pbtxt')
    with tf.gfile.Open(label_map_path, 'wb') as f:
      f.write(label_map_string)

    with self.assertRaises(ValueError):
      label_map_util.load_labelmap(label_map_path)
Example #30
Source File: label_map_util_test.py    From multilabel-image-classification-tensorflow with MIT License 6 votes vote down vote up 
def test_load_bad_label_map(self):
    label_map_string = """
      item {
        id:0
        name:'class that should not be indexed at zero'
      }
      item {
        id:2
        name:'cat'
      }
      item {
        id:1
        name:'dog'
      }
    """
    label_map_path = os.path.join(self.get_temp_dir(), 'label_map.pbtxt')
    with tf.gfile.Open(label_map_path, 'wb') as f:
      f.write(label_map_string)

    with self.assertRaises(ValueError):
      label_map_util.load_labelmap(label_map_path)