fixing pylint warnings

armanrahman22 · armanrahman22 · commit e280ea810da0 · 2018-11-06T18:07:12.000+01:00
diff --git a/algorithms/face_recognition/vectorize.py b/algorithms/face_recognition/vectorize.py
@@ -1,12 +1,9 @@
-from typing import Iterable
-from typing import List
-from typing import Optional
+from typing import Iterable, List, Optional
 
-from face_recognition import face_encodings
-from face_recognition import face_locations
-from face_recognition import load_image_file
 import numpy as np
 
+from face_recognition import face_encodings, face_locations, load_image_file
+
 FaceVector = List[float]
 Image = np.array
 
diff --git a/algorithms/facenet/vectorize.py b/algorithms/facenet/vectorize.py
@@ -1,9 +1,9 @@
-import json
 import os
 from typing import List
 
 import numpy as np
 import tensorflow as tf
+
 from facenet_sandberg import Identifier, get_image_from_path_rgb
 
 os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
diff --git a/algorithms/insightface/vectorize.py b/algorithms/insightface/vectorize.py
@@ -1,9 +1,9 @@
-import json
 import os
 from typing import List
 
 import numpy as np
 import tensorflow as tf
+
 from facenet_sandberg import Identifier, get_image_from_path_bgr
 
 os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
@@ -15,7 +15,9 @@
 
 def get_face_vectors_batch(
         img_paths: List[str], prealigned: bool) -> List[List[FaceVector]]:
-    identifier = Identifier(model_path='insightface/insightface_ckpt', is_insightface=True)
+    identifier = Identifier(
+        model_path='insightface/insightface_ckpt',
+        is_insightface=True)
 
     images = map(get_image_from_path_bgr, img_paths)
     all_vectors = identifier.vectorize_all(images, prealigned=prealigned)
diff --git a/scripts/get_famous_people_photos/src/get_famous_people_photos.py b/scripts/get_famous_people_photos/src/get_famous_people_photos.py
@@ -180,7 +180,9 @@ def match_images(thumbnail_urls: List[str], person: str) \
             # are of the same person
             for other in faces:
                 is_match, _ = identifier.compare_embedding(
-                    anchor_embedding, other.embedding, common_types.DistanceMetric.EUCLIDEAN_SQUARED)
+                    anchor_embedding,
+                    other.embedding,
+                    common_types.DistanceMetric.EUCLIDEAN_SQUARED)
                 if is_match:
                     urls.add(other.url)
             identifier.tear_down()
diff --git a/scripts/validation/src/validate.py b/scripts/validation/src/validate.py
@@ -1,10 +1,7 @@
-from argparse import ArgumentParser
-from argparse import FileType
-from argparse import Namespace
+from argparse import ArgumentParser, FileType, Namespace
 
 from evaluator.evaluator import Evaluator
-from metrics.metrics import DistanceMetric
-from metrics.metrics import ThresholdMetric
+from metrics.metrics import DistanceMetric, ThresholdMetric
 
 
 def _parse_arguments() -> Namespace:
