diff --git a/blueoil/cmd/build_tfds.py b/blueoil/cmd/build_tfds.py
index 7d2f58801..b10ca5668 100644
--- a/blueoil/cmd/build_tfds.py
+++ b/blueoil/cmd/build_tfds.py
@@ -21,9 +21,9 @@
 
 from blueoil.datasets.base import ObjectDetectionBase, SegmentationBase
 from blueoil.datasets.tfds import TFDSMixin
-from lmnet.utils import config as config_util
-from lmnet.utils.tfds_builders.classification import ClassificationBuilder
-from lmnet.utils.tfds_builders.object_detection import ObjectDetectionBuilder
+from blueoil.utils import config as config_util
+from blueoil.utils.tfds_builders.classification import ClassificationBuilder
+from blueoil.utils.tfds_builders.object_detection import ObjectDetectionBuilder
 
 
 def _get_tfds_settings(config_file):
diff --git a/blueoil/cmd/convert_weight_from_darknet.py b/blueoil/cmd/convert_weight_from_darknet.py
index c52a209b9..e45cee793 100644
--- a/blueoil/cmd/convert_weight_from_darknet.py
+++ b/blueoil/cmd/convert_weight_from_darknet.py
@@ -23,8 +23,8 @@
 from lmnet import environment
 from blueoil.networks.classification.darknet import Darknet
 from blueoil.networks.object_detection.yolo_v2 import YoloV2
-from lmnet.utils import config as config_util
-from lmnet.utils import executor
+from blueoil.utils import config as config_util
+from blueoil.utils import executor
 
 
 def convert(config, weight_file):
diff --git a/blueoil/cmd/evaluate.py b/blueoil/cmd/evaluate.py
index bf1f2e27a..c8acbb27d 100644
--- a/blueoil/cmd/evaluate.py
+++ b/blueoil/cmd/evaluate.py
@@ -25,9 +25,9 @@
 from blueoil.datasets.base import ObjectDetectionBase
 from blueoil.datasets.dataset_iterator import DatasetIterator
 from blueoil.datasets.tfds import TFDSClassification, TFDSObjectDetection
-from lmnet.utils import config as config_util
-from lmnet.utils import executor, module_loader
-from lmnet.utils.predict_output.writer import save_json
+from blueoil.utils import config as config_util
+from blueoil.utils import executor, module_loader
+from blueoil.utils.predict_output.writer import save_json
 
 logging.basicConfig(level=logging.INFO)
 logger = logging.getLogger(__name__)
diff --git a/blueoil/cmd/export.py b/blueoil/cmd/export.py
index a9d24914b..51b2c71b3 100644
--- a/blueoil/cmd/export.py
+++ b/blueoil/cmd/export.py
@@ -22,9 +22,9 @@
 import tensorflow as tf
 
 from lmnet import environment
-from lmnet.utils.image import load_image
-from lmnet.utils import config as config_util
-from lmnet.utils import executor
+from blueoil.utils.image import load_image
+from blueoil.utils import config as config_util
+from blueoil.utils import executor
 
 DEFAULT_INFERENCE_TEST_DATA_IMAGE = os.path.join(
     os.path.dirname(os.path.realpath(__file__)),
diff --git a/blueoil/cmd/measure_latency.py b/blueoil/cmd/measure_latency.py
index 0ab269313..be4c6f285 100644
--- a/blueoil/cmd/measure_latency.py
+++ b/blueoil/cmd/measure_latency.py
@@ -23,9 +23,9 @@
 from tensorflow.python.client import device_lib
 
 from lmnet import environment
-from lmnet.utils.image import load_image
-from lmnet.utils import config as config_util
-from lmnet.utils import executor
+from blueoil.utils.image import load_image
+from blueoil.utils import config as config_util
+from blueoil.utils import executor
 
 
 # TODO(wakisaka): duplicated function with blueoil/cmd/export.py
diff --git a/blueoil/cmd/profile_model.py b/blueoil/cmd/profile_model.py
index d1fbc6fd6..6c0b394d9 100644
--- a/blueoil/cmd/profile_model.py
+++ b/blueoil/cmd/profile_model.py
@@ -22,8 +22,8 @@
 import tensorflow as tf
 
 from lmnet import environment
-from lmnet.utils import config as config_util
-from lmnet.utils import executor
+from blueoil.utils import config as config_util
+from blueoil.utils import executor
 
 logging.basicConfig(level=logging.INFO)
 logger = logging.getLogger(__name__)
diff --git a/blueoil/cmd/train.py b/blueoil/cmd/train.py
index 0b05c1043..8235ac091 100644
--- a/blueoil/cmd/train.py
+++ b/blueoil/cmd/train.py
@@ -21,7 +21,7 @@
 
 from blueoil.generate_lmnet_config import generate
 from executor.train import run as run_train
-from lmnet.utils import horovod as horovod_util
+from blueoil.utils import horovod as horovod_util
 
 
 def run(blueoil_config_file, experiment_id):
diff --git a/blueoil/cmd/tune_ray.py b/blueoil/cmd/tune_ray.py
index 2a8d92358..c7260aa5b 100644
--- a/blueoil/cmd/tune_ray.py
+++ b/blueoil/cmd/tune_ray.py
@@ -26,8 +26,8 @@
 from blueoil.datasets.base import ObjectDetectionBase
 from blueoil.datasets.dataset_iterator import DatasetIterator
 from blueoil.datasets.tfds import TFDSClassification, TFDSObjectDetection
-from lmnet.utils import config as config_util
-from lmnet.utils import executor
+from blueoil.utils import config as config_util
+from blueoil.utils import executor
 from ray.tune import Trainable, register_trainable, run_experiments
 from ray.tune.schedulers import AsyncHyperBandScheduler
 from ray.tune.suggest import HyperOptSearch
diff --git a/blueoil/datasets/bdd100k.py b/blueoil/datasets/bdd100k.py
index 68da288af..0c01d7a31 100644
--- a/blueoil/datasets/bdd100k.py
+++ b/blueoil/datasets/bdd100k.py
@@ -7,7 +7,7 @@
 import numpy as np
 
 from blueoil.datasets.base import ObjectDetectionBase, SegmentationBase
-from lmnet.utils.image import load_image
+from blueoil.utils.image import load_image
 
 
 class BDD100KObjectDetection(ObjectDetectionBase):
diff --git a/blueoil/datasets/camvid.py b/blueoil/datasets/camvid.py
index ce4f1b9ad..9b80d8485 100644
--- a/blueoil/datasets/camvid.py
+++ b/blueoil/datasets/camvid.py
@@ -22,7 +22,7 @@
 
 from lmnet.common import get_color_map
 from blueoil.datasets.base import SegmentationBase, StoragePathCustomizable
-from lmnet.utils.random import shuffle, train_test_split
+from blueoil.utils.random import shuffle, train_test_split
 
 
 def get_image(filename, convert_rgb=True, ignore_class_idx=None):
diff --git a/blueoil/datasets/cifar10.py b/blueoil/datasets/cifar10.py
index 52ef8253f..a9d80f21e 100644
--- a/blueoil/datasets/cifar10.py
+++ b/blueoil/datasets/cifar10.py
@@ -21,7 +21,7 @@
 
 from lmnet import data_processor
 from blueoil.datasets.base import Base
-from lmnet.utils.random import shuffle
+from blueoil.utils.random import shuffle
 
 
 class Cifar10(Base):
diff --git a/blueoil/datasets/cifar100.py b/blueoil/datasets/cifar100.py
index a992ef46c..9408c4711 100644
--- a/blueoil/datasets/cifar100.py
+++ b/blueoil/datasets/cifar100.py
@@ -21,7 +21,7 @@
 
 from lmnet import data_processor
 from blueoil.datasets.base import Base
-from lmnet.utils.random import shuffle
+from blueoil.utils.random import shuffle
 
 
 class Cifar100(Base):
diff --git a/blueoil/datasets/delta_mark.py b/blueoil/datasets/delta_mark.py
index eaa51e427..e88cc22aa 100644
--- a/blueoil/datasets/delta_mark.py
+++ b/blueoil/datasets/delta_mark.py
@@ -22,8 +22,8 @@
 
 from lmnet import data_processor
 from blueoil.datasets.base import Base, ObjectDetectionBase, StoragePathCustomizable
-from lmnet.utils.image import load_image
-from lmnet.utils.random import shuffle, train_test_split
+from blueoil.utils.image import load_image
+from blueoil.utils.random import shuffle, train_test_split
 
 
 @functools.lru_cache(maxsize=None)
diff --git a/blueoil/datasets/div2k.py b/blueoil/datasets/div2k.py
index 03e05fce4..2ae975aa7 100644
--- a/blueoil/datasets/div2k.py
+++ b/blueoil/datasets/div2k.py
@@ -18,7 +18,7 @@
 from glob import glob
 
 from blueoil.datasets.base import Base
-from lmnet.utils.image import load_image
+from blueoil.utils.image import load_image
 
 
 class Div2k(Base):
diff --git a/blueoil/datasets/ilsvrc_2012.py b/blueoil/datasets/ilsvrc_2012.py
index 77c53116c..93c261b57 100644
--- a/blueoil/datasets/ilsvrc_2012.py
+++ b/blueoil/datasets/ilsvrc_2012.py
@@ -21,7 +21,7 @@
 import pandas as pd
 
 from lmnet import data_processor
-from lmnet.utils.image import load_image
+from blueoil.utils.image import load_image
 from blueoil.datasets.base import Base
 
 
diff --git a/blueoil/datasets/image_folder.py b/blueoil/datasets/image_folder.py
index 4773c89aa..ed80e980f 100644
--- a/blueoil/datasets/image_folder.py
+++ b/blueoil/datasets/image_folder.py
@@ -22,9 +22,9 @@
 import numpy as np
 
 from lmnet import data_processor
-from lmnet.utils.image import load_image
+from blueoil.utils.image import load_image
 from blueoil.datasets.base import Base, StoragePathCustomizable
-from lmnet.utils.random import train_test_split
+from blueoil.utils.random import train_test_split
 
 
 class ImageFolderBase(StoragePathCustomizable, Base):
diff --git a/blueoil/datasets/mscoco.py b/blueoil/datasets/mscoco.py
index 7754df172..36a03669e 100644
--- a/blueoil/datasets/mscoco.py
+++ b/blueoil/datasets/mscoco.py
@@ -19,7 +19,7 @@
 import numpy as np
 from pycocotools.coco import COCO
 
-from lmnet.utils.image import load_image
+from blueoil.utils.image import load_image
 from blueoil.datasets.base import ObjectDetectionBase, SegmentationBase
 
 DEFAULT_CLASSES = [
diff --git a/blueoil/datasets/mscoco_2017.py b/blueoil/datasets/mscoco_2017.py
index b7bf9bfc7..8b23e8727 100644
--- a/blueoil/datasets/mscoco_2017.py
+++ b/blueoil/datasets/mscoco_2017.py
@@ -18,7 +18,7 @@
 import numpy as np
 from pycocotools.coco import COCO
 
-from lmnet.utils.image import load_image
+from blueoil.utils.image import load_image
 from blueoil.datasets.base import KeypointDetectionBase
 
 
diff --git a/blueoil/datasets/open_images_v4.py b/blueoil/datasets/open_images_v4.py
index 0438e0133..bd8510ea9 100644
--- a/blueoil/datasets/open_images_v4.py
+++ b/blueoil/datasets/open_images_v4.py
@@ -25,8 +25,8 @@
 
 from lmnet import data_processor
 from blueoil.datasets.base import Base, ObjectDetectionBase, StoragePathCustomizable
-from lmnet.utils.image import load_image
-from lmnet.utils.random import train_test_split
+from blueoil.utils.image import load_image
+from blueoil.utils.random import train_test_split
 
 
 class OpenImagesV4(Base):
diff --git a/blueoil/datasets/pascalvoc_2007_2012.py b/blueoil/datasets/pascalvoc_2007_2012.py
index c0b82ad07..5abf84178 100644
--- a/blueoil/datasets/pascalvoc_2007_2012.py
+++ b/blueoil/datasets/pascalvoc_2007_2012.py
@@ -17,7 +17,7 @@
 
 import numpy as np
 
-from lmnet.utils.image import load_image
+from blueoil.utils.image import load_image
 from blueoil.datasets.base import ObjectDetectionBase
 from blueoil.datasets.pascalvoc_2007 import Pascalvoc2007
 from blueoil.datasets.pascalvoc_2012 import Pascalvoc2012
diff --git a/blueoil/datasets/pascalvoc_base.py b/blueoil/datasets/pascalvoc_base.py
index 0ccaa4533..335917735 100644
--- a/blueoil/datasets/pascalvoc_base.py
+++ b/blueoil/datasets/pascalvoc_base.py
@@ -21,7 +21,7 @@
 import numpy as np
 import pandas as pd
 
-from lmnet.utils.image import load_image
+from blueoil.utils.image import load_image
 from blueoil.datasets.base import ObjectDetectionBase
 
 
diff --git a/blueoil/datasets/tfds.py b/blueoil/datasets/tfds.py
index df77928da..0620ae9c8 100644
--- a/blueoil/datasets/tfds.py
+++ b/blueoil/datasets/tfds.py
@@ -20,8 +20,8 @@
 import tensorflow_datasets as tfds
 
 from blueoil.datasets.base import Base, ObjectDetectionBase
-from lmnet.utils.tfds_builders.classification import ClassificationBuilder
-from lmnet.utils.tfds_builders.object_detection import ObjectDetectionBuilder
+from blueoil.utils.tfds_builders.classification import ClassificationBuilder
+from blueoil.utils.tfds_builders.object_detection import ObjectDetectionBuilder
 
 
 def _grayscale_to_rgb(record):
diff --git a/blueoil/datasets/widerface.py b/blueoil/datasets/widerface.py
index 4b69b6b2e..fc7d776be 100644
--- a/blueoil/datasets/widerface.py
+++ b/blueoil/datasets/widerface.py
@@ -18,7 +18,7 @@
 
 import numpy as np
 
-from lmnet.utils.image import load_image
+from blueoil.utils.image import load_image
 from blueoil.datasets.base import ObjectDetectionBase
 
 
diff --git a/blueoil/datasets/ytfaces.py b/blueoil/datasets/ytfaces.py
index 0669a1d18..19908361d 100644
--- a/blueoil/datasets/ytfaces.py
+++ b/blueoil/datasets/ytfaces.py
@@ -17,7 +17,7 @@
 
 import numpy as np
 
-from lmnet.utils.image import load_image
+from blueoil.utils.image import load_image
 from blueoil.datasets.base import KeypointDetectionBase
 
 
diff --git a/blueoil/generate_lmnet_config.py b/blueoil/generate_lmnet_config.py
index 4e0b1a779..a83b29d9c 100644
--- a/blueoil/generate_lmnet_config.py
+++ b/blueoil/generate_lmnet_config.py
@@ -23,7 +23,7 @@
 from jinja2 import Environment, FileSystemLoader
 from tensorflow.io import gfile
 
-from lmnet.utils.module_loader import load_class
+from blueoil.utils.module_loader import load_class
 
 
 _TASK_TYPE_TEMPLATE_FILE = {
diff --git a/blueoil/utils/__init__.py b/blueoil/utils/__init__.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/lmnet/lmnet/utils/box.py b/blueoil/utils/box.py
similarity index 100%
rename from lmnet/lmnet/utils/box.py
rename to blueoil/utils/box.py
diff --git a/lmnet/lmnet/utils/config.py b/blueoil/utils/config.py
similarity index 100%
rename from lmnet/lmnet/utils/config.py
rename to blueoil/utils/config.py
diff --git a/lmnet/lmnet/utils/executor.py b/blueoil/utils/executor.py
similarity index 100%
rename from lmnet/lmnet/utils/executor.py
rename to blueoil/utils/executor.py
diff --git a/lmnet/lmnet/utils/horovod.py b/blueoil/utils/horovod.py
similarity index 100%
rename from lmnet/lmnet/utils/horovod.py
rename to blueoil/utils/horovod.py
diff --git a/lmnet/lmnet/utils/image.py b/blueoil/utils/image.py
similarity index 100%
rename from lmnet/lmnet/utils/image.py
rename to blueoil/utils/image.py
diff --git a/lmnet/lmnet/utils/module_loader.py b/blueoil/utils/module_loader.py
similarity index 100%
rename from lmnet/lmnet/utils/module_loader.py
rename to blueoil/utils/module_loader.py
diff --git a/lmnet/lmnet/utils/predict_output/output.py b/blueoil/utils/predict_output/output.py
similarity index 100%
rename from lmnet/lmnet/utils/predict_output/output.py
rename to blueoil/utils/predict_output/output.py
diff --git a/lmnet/lmnet/utils/predict_output/writer.py b/blueoil/utils/predict_output/writer.py
similarity index 96%
rename from lmnet/lmnet/utils/predict_output/writer.py
rename to blueoil/utils/predict_output/writer.py
index 83213bff2..2dbd5e294 100644
--- a/lmnet/lmnet/utils/predict_output/writer.py
+++ b/blueoil/utils/predict_output/writer.py
@@ -3,8 +3,8 @@
 
 import numpy as np
 
-from lmnet.utils.predict_output.output import ImageFromJson
-from lmnet.utils.predict_output.output import JsonOutput
+from blueoil.utils.predict_output.output import ImageFromJson
+from blueoil.utils.predict_output.output import JsonOutput
 
 logger = logging.getLogger(__name__)
 
diff --git a/lmnet/lmnet/utils/random.py b/blueoil/utils/random.py
similarity index 100%
rename from lmnet/lmnet/utils/random.py
rename to blueoil/utils/random.py
diff --git a/lmnet/lmnet/utils/tfds_builders/classification.py b/blueoil/utils/tfds_builders/classification.py
similarity index 100%
rename from lmnet/lmnet/utils/tfds_builders/classification.py
rename to blueoil/utils/tfds_builders/classification.py
diff --git a/lmnet/lmnet/utils/tfds_builders/object_detection.py b/blueoil/utils/tfds_builders/object_detection.py
similarity index 100%
rename from lmnet/lmnet/utils/tfds_builders/object_detection.py
rename to blueoil/utils/tfds_builders/object_detection.py
diff --git a/lmnet/executor/predict.py b/lmnet/executor/predict.py
index c7a2b34df..315e0859b 100644
--- a/lmnet/executor/predict.py
+++ b/lmnet/executor/predict.py
@@ -23,10 +23,10 @@
 import tensorflow as tf
 
 from lmnet import environment
-from lmnet.utils.image import load_image
-from lmnet.utils import config as config_util
-from lmnet.utils.executor import search_restore_filename
-from lmnet.utils.predict_output.writer import OutputWriter
+from blueoil.utils.image import load_image
+from blueoil.utils import config as config_util
+from blueoil.utils.executor import search_restore_filename
+from blueoil.utils.predict_output.writer import OutputWriter
 
 DUMMY_FILENAME = "DUMMY_FILE"
 
diff --git a/lmnet/executor/train.py b/lmnet/executor/train.py
index 1a481eab4..30d278418 100644
--- a/lmnet/executor/train.py
+++ b/lmnet/executor/train.py
@@ -26,10 +26,10 @@
 from blueoil.datasets.base import ObjectDetectionBase
 from blueoil.datasets.dataset_iterator import DatasetIterator
 from blueoil.datasets.tfds import TFDSClassification, TFDSObjectDetection
-from lmnet.utils import config as config_util
-from lmnet.utils import executor
-from lmnet.utils import horovod as horovod_util
-from lmnet.utils import module_loader
+from blueoil.utils import config as config_util
+from blueoil.utils import executor
+from blueoil.utils import horovod as horovod_util
+from blueoil.utils import module_loader
 
 
 def _save_checkpoint(saver, sess, global_step, step):
diff --git a/lmnet/lmnet/data_augmentor.py b/lmnet/lmnet/data_augmentor.py
index 257269e4e..d64003f4d 100644
--- a/lmnet/lmnet/data_augmentor.py
+++ b/lmnet/lmnet/data_augmentor.py
@@ -22,7 +22,7 @@
 from PIL import Image, ImageEnhance, ImageFilter
 
 from lmnet import data_processor, pre_processor
-from lmnet.utils.box import fill_dummy_boxes, crop_boxes, iou
+from blueoil.utils.box import fill_dummy_boxes, crop_boxes, iou
 
 
 class Blur(data_processor.Processor):
diff --git a/lmnet/lmnet/post_processor.py b/lmnet/lmnet/post_processor.py
index 678e18857..782345be5 100644
--- a/lmnet/lmnet/post_processor.py
+++ b/lmnet/lmnet/post_processor.py
@@ -19,7 +19,7 @@
 
 from lmnet.data_augmentor import iou
 from lmnet.data_processor import Processor
-from lmnet.utils.box import format_cxcywh_to_xywh
+from blueoil.utils.box import format_cxcywh_to_xywh
 
 
 def _softmax(x):
diff --git a/lmnet/tests/executor_tests/test_build_tfds.py b/lmnet/tests/executor_tests/test_build_tfds.py
index 9dfc8f299..b81b5779e 100644
--- a/lmnet/tests/executor_tests/test_build_tfds.py
+++ b/lmnet/tests/executor_tests/test_build_tfds.py
@@ -21,7 +21,7 @@
 from lmnet import environment
 from blueoil.datasets.dataset_iterator import DatasetIterator
 from blueoil.datasets.tfds import TFDSClassification, TFDSObjectDetection
-from lmnet.utils import config as config_util
+from blueoil.utils import config as config_util
 
 _RUN_AS_A_SCRIPT = False
 
diff --git a/lmnet/tests/lmnet_tests/networks_tests/classification_test/test_darknet.py b/lmnet/tests/lmnet_tests/networks_tests/classification_test/test_darknet.py
index fa5966cb0..8b5816a1d 100644
--- a/lmnet/tests/lmnet_tests/networks_tests/classification_test/test_darknet.py
+++ b/lmnet/tests/lmnet_tests/networks_tests/classification_test/test_darknet.py
@@ -23,7 +23,7 @@
 from blueoil.networks.classification.darknet import Darknet
 from blueoil.datasets.image_folder import ImageFolderBase
 from lmnet.pre_processor import Resize
-from lmnet.utils.executor import prepare_dirs
+from blueoil.utils.executor import prepare_dirs
 
 # Apply reset_default_graph() in conftest.py to all tests in this file.
 # Set test environment
diff --git a/lmnet/tests/lmnet_tests/networks_tests/classification_test/test_lm_resnet_quantize.py b/lmnet/tests/lmnet_tests/networks_tests/classification_test/test_lm_resnet_quantize.py
index 4a9041a6c..1aa60e2d1 100644
--- a/lmnet/tests/lmnet_tests/networks_tests/classification_test/test_lm_resnet_quantize.py
+++ b/lmnet/tests/lmnet_tests/networks_tests/classification_test/test_lm_resnet_quantize.py
@@ -24,7 +24,7 @@
 from blueoil.datasets.image_folder import ImageFolderBase
 from lmnet.pre_processor import Resize
 from blueoil.nn.quantizations import binary_mean_scaling_quantizer, linear_mid_tread_half_quantizer
-from lmnet.utils.executor import prepare_dirs
+from blueoil.utils.executor import prepare_dirs
 
 # Apply reset_default_graph() in conftest.py to all tests in this file.
 # Set test environment
diff --git a/lmnet/tests/lmnet_tests/networks_tests/classification_test/test_lmnet_quantize.py b/lmnet/tests/lmnet_tests/networks_tests/classification_test/test_lmnet_quantize.py
index 0319f37f4..9f8854a1a 100644
--- a/lmnet/tests/lmnet_tests/networks_tests/classification_test/test_lmnet_quantize.py
+++ b/lmnet/tests/lmnet_tests/networks_tests/classification_test/test_lmnet_quantize.py
@@ -24,7 +24,7 @@
 from blueoil.datasets.image_folder import ImageFolderBase
 from lmnet.pre_processor import Resize
 from blueoil.nn.quantizations import binary_mean_scaling_quantizer, linear_mid_tread_half_quantizer
-from lmnet.utils.executor import prepare_dirs
+from blueoil.utils.executor import prepare_dirs
 
 # Apply reset_default_graph() in conftest.py to all tests in this file.
 # Set test environment
diff --git a/lmnet/tests/lmnet_tests/networks_tests/keypoint_detection_tests/test_lm_single_pose_v1.py b/lmnet/tests/lmnet_tests/networks_tests/keypoint_detection_tests/test_lm_single_pose_v1.py
index deaa034aa..0c514cbbf 100644
--- a/lmnet/tests/lmnet_tests/networks_tests/keypoint_detection_tests/test_lm_single_pose_v1.py
+++ b/lmnet/tests/lmnet_tests/networks_tests/keypoint_detection_tests/test_lm_single_pose_v1.py
@@ -21,7 +21,7 @@
 from lmnet.common import Tasks
 from blueoil.networks.keypoint_detection.lm_single_pose_v1 import LmSinglePoseV1Quantize
 from blueoil.datasets.mscoco_2017 import MscocoSinglePersonKeypoints
-from lmnet.utils.executor import prepare_dirs
+from blueoil.utils.executor import prepare_dirs
 from lmnet.pre_processor import (
     DivideBy255,
     ResizeWithJoints,
diff --git a/lmnet/tests/lmnet_tests/networks_tests/object_detection_tests/test_yolo_v1.py b/lmnet/tests/lmnet_tests/networks_tests/object_detection_tests/test_yolo_v1.py
index 6f2878d38..b9160682d 100644
--- a/lmnet/tests/lmnet_tests/networks_tests/object_detection_tests/test_yolo_v1.py
+++ b/lmnet/tests/lmnet_tests/networks_tests/object_detection_tests/test_yolo_v1.py
@@ -24,7 +24,7 @@
 from blueoil.networks.object_detection.yolo_v1 import YoloV1
 from blueoil.datasets.pascalvoc_2007 import Pascalvoc2007
 from lmnet.pre_processor import ResizeWithGtBoxes
-from lmnet.utils.executor import prepare_dirs
+from blueoil.utils.executor import prepare_dirs
 
 # Apply reset_default_graph() in conftest.py to all tests in this file.
 # Set test environment
diff --git a/lmnet/tests/lmnet_tests/networks_tests/object_detection_tests/test_yolo_v2.py b/lmnet/tests/lmnet_tests/networks_tests/object_detection_tests/test_yolo_v2.py
index 39360fd73..8ea4c30ae 100644
--- a/lmnet/tests/lmnet_tests/networks_tests/object_detection_tests/test_yolo_v2.py
+++ b/lmnet/tests/lmnet_tests/networks_tests/object_detection_tests/test_yolo_v2.py
@@ -26,7 +26,7 @@
 from blueoil.datasets.pascalvoc_2007 import Pascalvoc2007
 from lmnet.post_processor import NMS, ExcludeLowScoreBox, FormatYoloV2
 from lmnet.pre_processor import ResizeWithGtBoxes
-from lmnet.utils.executor import prepare_dirs
+from blueoil.utils.executor import prepare_dirs
 
 # Apply reset_default_graph() in conftest.py to all tests in this file.
 # Set test environment
diff --git a/lmnet/tests/lmnet_tests/networks_tests/object_detection_tests/test_yolo_v2_quantize.py b/lmnet/tests/lmnet_tests/networks_tests/object_detection_tests/test_yolo_v2_quantize.py
index deab1b377..ad90939ac 100644
--- a/lmnet/tests/lmnet_tests/networks_tests/object_detection_tests/test_yolo_v2_quantize.py
+++ b/lmnet/tests/lmnet_tests/networks_tests/object_detection_tests/test_yolo_v2_quantize.py
@@ -24,7 +24,7 @@
 from blueoil.datasets.pascalvoc_2007 import Pascalvoc2007
 from lmnet.pre_processor import ResizeWithGtBoxes
 from blueoil.nn.quantizations import binary_channel_wise_mean_scaling_quantizer, linear_mid_tread_half_quantizer
-from lmnet.utils.executor import prepare_dirs
+from blueoil.utils.executor import prepare_dirs
 
 # Apply reset_default_graph() in conftest.py to all tests in this file.
 # Set test environment
diff --git a/lmnet/tests/lmnet_tests/networks_tests/segmentation_tests/test_lm_bisenet.py b/lmnet/tests/lmnet_tests/networks_tests/segmentation_tests/test_lm_bisenet.py
index 429a1203d..c7112ed04 100644
--- a/lmnet/tests/lmnet_tests/networks_tests/segmentation_tests/test_lm_bisenet.py
+++ b/lmnet/tests/lmnet_tests/networks_tests/segmentation_tests/test_lm_bisenet.py
@@ -26,7 +26,7 @@
 from blueoil.datasets.camvid import Camvid
 from lmnet.post_processor import Bilinear, Softmax
 from lmnet.pre_processor import Resize
-from lmnet.utils.executor import prepare_dirs
+from blueoil.utils.executor import prepare_dirs
 
 # Apply reset_default_graph() and set_test_environment() in conftest.py to all tests in this file.
 pytestmark = pytest.mark.usefixtures("reset_default_graph", "set_test_environment")
diff --git a/lmnet/tests/lmnet_tests/test_data_augmentor.py b/lmnet/tests/lmnet_tests/test_data_augmentor.py
index e04c06b19..87a1c00e5 100644
--- a/lmnet/tests/lmnet_tests/test_data_augmentor.py
+++ b/lmnet/tests/lmnet_tests/test_data_augmentor.py
@@ -21,7 +21,7 @@
 import pytest
 
 from blueoil.datasets.pascalvoc_2007 import Pascalvoc2007
-from lmnet.utils.image import load_image
+from blueoil.utils.image import load_image
 from blueoil.datasets.dataset_iterator import DatasetIterator
 from lmnet.pre_processor import ResizeWithGtBoxes
 from lmnet.data_processor import (
@@ -40,7 +40,7 @@
     RandomPatchCut,
     SSDRandomCrop
 )
-from lmnet.utils.box import iou, crop_boxes
+from blueoil.utils.box import iou, crop_boxes
 
 
 # Apply reset_default_graph() and set_test_environment() in conftest.py to all tests in this file.
diff --git a/lmnet/tests/lmnet_tests/util_tests/predict_output/test_writer.py b/lmnet/tests/lmnet_tests/util_tests/predict_output/test_writer.py
index fb50b582f..67e1cfed9 100644
--- a/lmnet/tests/lmnet_tests/util_tests/predict_output/test_writer.py
+++ b/lmnet/tests/lmnet_tests/util_tests/predict_output/test_writer.py
@@ -6,10 +6,10 @@
 from PIL import Image
 
 from lmnet.common import Tasks
-from lmnet.utils.predict_output.writer import OutputWriter
-from lmnet.utils.predict_output.writer import save_json
-from lmnet.utils.predict_output.writer import save_npy
-from lmnet.utils.predict_output.writer import save_materials
+from blueoil.utils.predict_output.writer import OutputWriter
+from blueoil.utils.predict_output.writer import save_json
+from blueoil.utils.predict_output.writer import save_npy
+from blueoil.utils.predict_output.writer import save_materials
 
 
 def test_write(temp_dir):
diff --git a/lmnet/tests/lmnet_tests/util_tests/test_config.py b/lmnet/tests/lmnet_tests/util_tests/test_config.py
index 0fa765cd3..2a3abf10e 100644
--- a/lmnet/tests/lmnet_tests/util_tests/test_config.py
+++ b/lmnet/tests/lmnet_tests/util_tests/test_config.py
@@ -15,7 +15,7 @@
 # =============================================================================
 from easydict import EasyDict
 
-from lmnet.utils import config as config_util
+from blueoil.utils import config as config_util
 
 
 def test_merge():
diff --git a/lmnet/tests/lmnet_tests/util_tests/test_predict_output.py b/lmnet/tests/lmnet_tests/util_tests/test_predict_output.py
index 0a5ca546f..21eabf7ea 100644
--- a/lmnet/tests/lmnet_tests/util_tests/test_predict_output.py
+++ b/lmnet/tests/lmnet_tests/util_tests/test_predict_output.py
@@ -21,7 +21,7 @@
 import PIL.Image
 
 from lmnet.common import Tasks
-from lmnet.utils.predict_output.output import JsonOutput
+from blueoil.utils.predict_output.output import JsonOutput
 
 
 def test_classification_json():
diff --git a/lmnet/tests/lmnet_tests/util_tests/test_random.py b/lmnet/tests/lmnet_tests/util_tests/test_random.py
index 35ce45251..154e72424 100644
--- a/lmnet/tests/lmnet_tests/util_tests/test_random.py
+++ b/lmnet/tests/lmnet_tests/util_tests/test_random.py
@@ -18,7 +18,7 @@
 import numpy as np
 import pytest
 
-from lmnet.utils.random import shuffle, train_test_split
+from blueoil.utils.random import shuffle, train_test_split
 
 
 def test_shuffle():
diff --git a/lmnet/tests/test_configs.py b/lmnet/tests/test_configs.py
index 284eed5ef..d3ecc8838 100644
--- a/lmnet/tests/test_configs.py
+++ b/lmnet/tests/test_configs.py
@@ -19,7 +19,7 @@
 import pytest
 
 from lmnet import environment
-from lmnet.utils.config import _load_py, check_config, save_yaml
+from blueoil.utils.config import _load_py, check_config, save_yaml
 
 pytestmark = pytest.mark.usefixtures("set_test_environment")
 
diff --git a/output_template/python/blueoil/utils b/output_template/python/blueoil/utils
new file mode 120000
index 000000000..6eb6b803c
--- /dev/null
+++ b/output_template/python/blueoil/utils
@@ -0,0 +1 @@
+../../../blueoil/utils/
\ No newline at end of file
diff --git a/output_template/python/lmnet/utils/box.py b/output_template/python/lmnet/utils/box.py
deleted file mode 120000
index eae833767..000000000
--- a/output_template/python/lmnet/utils/box.py
+++ /dev/null
@@ -1 +0,0 @@
-../../../../lmnet/lmnet/utils/box.py
\ No newline at end of file
diff --git a/output_template/python/lmnet/utils/config.py b/output_template/python/lmnet/utils/config.py
deleted file mode 100644
index 2307108a7..000000000
--- a/output_template/python/lmnet/utils/config.py
+++ /dev/null
@@ -1,83 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2018 The Blueoil Authors. All Rights Reserved.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-# =============================================================================
-from __future__ import absolute_import, division, print_function, unicode_literals
-
-import imp
-
-import yaml
-from easydict import EasyDict
-
-from lmnet.data_processor import Sequence
-
-
-# derived from LeapMind/lmnet/lmnet/utils/config.py
-def load_yaml(config_file):
-    with open(config_file) as config_file_stream:
-        config = yaml.load(config_file_stream, Loader=yaml.Loader)
-
-    # use only upper key.
-    keys = [key for key in config.keys() if key.isupper()]
-    config_dict = {key: config[key] for key in keys}
-    config = EasyDict(config_dict)
-    return config
-
-
-def build_pre_process(pre_processor_config):
-    module_name = "lmnet/pre_processor"
-    f, pathname, description = imp.find_module(module_name)
-    module = imp.load_module(module_name, f, pathname, description)
-    processors = []
-    if pre_processor_config is None:
-        pre_processor_config = {}
-    for p in pre_processor_config:
-        for class_name in p:
-            class_args = p[class_name]
-            if class_args is None:
-                class_args = {}
-            cls = getattr(module, class_name)
-            # Create none initialized processor `cls` instance.
-            processor = cls.__new__(cls)
-            # Fill processor instance member.
-            for k in class_args:
-                v = class_args[k]
-                processor.__dict__[k] = v
-            processors.append(processor)
-    seq = Sequence(processors=processors)
-    return seq
-
-
-def build_post_process(post_processor_config):
-    module_name = "lmnet/post_processor"
-    f, pathname, description = imp.find_module(module_name)
-    module = imp.load_module(module_name, f, pathname, description)
-    processors = []
-    if post_processor_config is None:
-        post_processor_config = {}
-    for p in post_processor_config:
-        for class_name in p:
-            class_args = p[class_name]
-            if class_args is None:
-                class_args = {}
-            cls = getattr(module, class_name)
-            # Create none initialized processor `cls` instance.
-            processor = cls.__new__(cls)
-            # Fill processor instance member.
-            for k in class_args:
-                v = class_args[k]
-                processor.__dict__[k] = v
-            processors.append(processor)
-    seq = Sequence(processors=processors)
-    return seq
diff --git a/output_template/python/lmnet/utils/image.py b/output_template/python/lmnet/utils/image.py
deleted file mode 120000
index 4cc8d9fb7..000000000
--- a/output_template/python/lmnet/utils/image.py
+++ /dev/null
@@ -1 +0,0 @@
-../../../../lmnet/lmnet/utils/image.py
\ No newline at end of file
diff --git a/output_template/python/lmnet/utils/output.py b/output_template/python/lmnet/utils/output.py
deleted file mode 120000
index ba76856e8..000000000
--- a/output_template/python/lmnet/utils/output.py
+++ /dev/null
@@ -1 +0,0 @@
-../../../../lmnet/lmnet/utils/predict_output/output.py
\ No newline at end of file
diff --git a/output_template/python/motion_jpeg_server_from_camera.py b/output_template/python/motion_jpeg_server_from_camera.py
index bd7dea9b7..dfaa639fd 100644
--- a/output_template/python/motion_jpeg_server_from_camera.py
+++ b/output_template/python/motion_jpeg_server_from_camera.py
@@ -29,7 +29,7 @@
 import click
 
 from lmnet.nnlib import NNLib
-from lmnet.utils.config import (
+from blueoil.utils.config import (
     load_yaml,
     build_pre_process,
     build_post_process,
diff --git a/output_template/python/run.py b/output_template/python/run.py
index c5d26c3a9..cb67f932a 100644
--- a/output_template/python/run.py
+++ b/output_template/python/run.py
@@ -22,10 +22,10 @@
 
 from lmnet.nnlib import NNLib as NNLib
 
-from lmnet.utils.image import load_image
+from blueoil.utils.image import load_image
 from lmnet.common import Tasks
-from lmnet.utils.output import JsonOutput, ImageFromJson
-from lmnet.utils.config import (
+from blueoil.utils.predict_output.output import JsonOutput, ImageFromJson
+from blueoil.utils.config import (
     load_yaml,
     build_pre_process,
     build_post_process,
diff --git a/output_template/python/usb_camera_demo.py b/output_template/python/usb_camera_demo.py
index 827fde346..80ccd1b16 100644
--- a/output_template/python/usb_camera_demo.py
+++ b/output_template/python/usb_camera_demo.py
@@ -31,7 +31,7 @@
 
 from lmnet.common import get_color_map
 from lmnet.nnlib import NNLib
-from lmnet.utils.config import (
+from blueoil.utils.config import (
     load_yaml,
     build_pre_process,
     build_post_process,