diff --git a/Makefile b/Makefile
index 716fd548f..8cce9fb8b 100644
--- a/Makefile
+++ b/Makefile
@@ -22,7 +22,7 @@ install-gpu: install
 
 .PHONY: lint
 lint:
-	flake8 ./blueoil --exclude=templates,converter
+	flake8 ./blueoil ./tests --exclude=templates,converter
 
 .PHONY: build
 build: deps
@@ -60,7 +60,7 @@ test-lmnet: test-blueoil-pep8 test-unit-main
 test-blueoil-pep8: build
 	# Check blueoil pep8
 	# FIXME: blueoil/templates and blueoil/converter have a lot of errors with flake8
-	docker run ${DOCKER_OPT} $(IMAGE_NAME):$(BUILD_VERSION) /bin/bash -c "flake8 ./blueoil --exclude=templates,converter"
+	docker run ${DOCKER_OPT} $(IMAGE_NAME):$(BUILD_VERSION) /bin/bash -c "flake8 ./blueoil ./tests --exclude=templates,converter"
 
 .PHONY: test-unit-main
 test-unit-main: build
diff --git a/tests/e2e/test_object_detection.py b/tests/e2e/test_object_detection.py
index d1c9b4d17..4e59dca38 100644
--- a/tests/e2e/test_object_detection.py
+++ b/tests/e2e/test_object_detection.py
@@ -123,6 +123,7 @@
     }
 }
 
+
 @pytest.mark.parametrize(
     "config", [
         openimagesv4_object_detection,
diff --git a/tests/unit/networks_tests/classification_test/test_lm_resnet_quantize.py b/tests/unit/networks_tests/classification_test/test_lm_resnet_quantize.py
index acab6aaad..234be9cbf 100644
--- a/tests/unit/networks_tests/classification_test/test_lm_resnet_quantize.py
+++ b/tests/unit/networks_tests/classification_test/test_lm_resnet_quantize.py
@@ -24,7 +24,7 @@
 from blueoil.datasets.image_folder import ImageFolderBase
 from blueoil.pre_processor import Resize
 from blueoil.quantizations import (
-    binary_mean_scaling_quantizer, 
+    binary_mean_scaling_quantizer,
     linear_mid_tread_half_quantizer,
     )
 from blueoil.utils.executor import prepare_dirs