circular import problem

deepface/commons/weight_utils.py

@@ -11,32 +11,6 @@ import gdown
 from deepface.commons import folder_utils, package_utils
 from deepface.commons.logger import Logger
 
-# weight urls as variables
-from deepface.models.facial_recognition.VGGFace import WEIGHTS_URL as VGGFACE_WEIGHTS
-from deepface.models.facial_recognition.Facenet import FACENET128_WEIGHTS, FACENET512_WEIGHTS
-from deepface.models.facial_recognition.OpenFace import WEIGHTS_URL as OPENFACE_WEIGHTS
-from deepface.models.facial_recognition.FbDeepFace import WEIGHTS_URL as FBDEEPFACE_WEIGHTS
-from deepface.models.facial_recognition.ArcFace import WEIGHTS_URL as ARCFACE_WEIGHTS
-from deepface.models.facial_recognition.DeepID import WEIGHTS_URL as DEEPID_WEIGHTS
-from deepface.models.facial_recognition.SFace import WEIGHTS_URL as SFACE_WEIGHTS
-from deepface.models.facial_recognition.GhostFaceNet import WEIGHTS_URL as GHOSTFACENET_WEIGHTS
-from deepface.models.facial_recognition.Dlib import WEIGHT_URL as DLIB_FR_WEIGHTS
-from deepface.models.demography.Age import WEIGHTS_URL as AGE_WEIGHTS
-from deepface.models.demography.Gender import WEIGHTS_URL as GENDER_WEIGHTS
-from deepface.models.demography.Race import WEIGHTS_URL as RACE_WEIGHTS
-from deepface.models.demography.Emotion import WEIGHTS_URL as EMOTION_WEIGHTS
-from deepface.models.spoofing.FasNet import (
-    FIRST_WEIGHTS_URL as FASNET_1ST_WEIGHTS,
-    SECOND_WEIGHTS_URL as FASNET_2ND_WEIGHTS,
-)
-from deepface.models.face_detection.Ssd import MODEL_URL as SSD_MODEL, WEIGHTS_URL as SSD_WEIGHTS
-from deepface.models.face_detection.Yolo import (
-    WEIGHT_URL as YOLOV8_WEIGHTS,
-    WEIGHT_NAME as YOLOV8_WEIGHT_NAME,
-)
-from deepface.models.face_detection.YuNet import WEIGHTS_URL as YUNET_WEIGHTS
-from deepface.models.face_detection.Dlib import WEIGHTS_URL as DLIB_FD_WEIGHTS
-from deepface.models.face_detection.CenterFace import WEIGHTS_URL as CENTERFACE_WEIGHTS
 
 tf_version = package_utils.get_tf_major_version()
 if tf_version == 1:
@@ -46,41 +20,7 @@ else:
 
 logger = Logger()
 
-# pylint: disable=line-too-long
-WEIGHTS = [
-    # facial recognition
-    VGGFACE_WEIGHTS,
-    FACENET128_WEIGHTS,
-    FACENET512_WEIGHTS,
-    OPENFACE_WEIGHTS,
-    FBDEEPFACE_WEIGHTS,
-    ARCFACE_WEIGHTS,
-    DEEPID_WEIGHTS,
-    SFACE_WEIGHTS,
-    {
-        "filename": "ghostfacenet_v1.h5",
-        "url": GHOSTFACENET_WEIGHTS,
-    },
-    DLIB_FR_WEIGHTS,
-    # demography
-    AGE_WEIGHTS,
-    GENDER_WEIGHTS,
-    RACE_WEIGHTS,
-    EMOTION_WEIGHTS,
-    # spoofing
-    FASNET_1ST_WEIGHTS,
-    FASNET_2ND_WEIGHTS,
-    # face detection
-    SSD_MODEL,
-    SSD_WEIGHTS,
-    {
-        "filename": YOLOV8_WEIGHT_NAME,
-        "url": YOLOV8_WEIGHTS,
-    },
-    YUNET_WEIGHTS,
-    DLIB_FD_WEIGHTS,
-    CENTERFACE_WEIGHTS,
-]
+# pylint: disable=line-too-long, use-maxsplit-arg
 
 ALLOWED_COMPRESS_TYPES = ["zip", "bz2"]
 
@@ -164,6 +104,72 @@ def download_all_models_in_one_shot() -> None:
     """
     Download all model weights in one shot
     """
+
+    # weight urls as variables
+    from deepface.models.facial_recognition.VGGFace import WEIGHTS_URL as VGGFACE_WEIGHTS
+    from deepface.models.facial_recognition.Facenet import FACENET128_WEIGHTS, FACENET512_WEIGHTS
+    from deepface.models.facial_recognition.OpenFace import WEIGHTS_URL as OPENFACE_WEIGHTS
+    from deepface.models.facial_recognition.FbDeepFace import WEIGHTS_URL as FBDEEPFACE_WEIGHTS
+    from deepface.models.facial_recognition.ArcFace import WEIGHTS_URL as ARCFACE_WEIGHTS
+    from deepface.models.facial_recognition.DeepID import WEIGHTS_URL as DEEPID_WEIGHTS
+    from deepface.models.facial_recognition.SFace import WEIGHTS_URL as SFACE_WEIGHTS
+    from deepface.models.facial_recognition.GhostFaceNet import WEIGHTS_URL as GHOSTFACENET_WEIGHTS
+    from deepface.models.facial_recognition.Dlib import WEIGHT_URL as DLIB_FR_WEIGHTS
+    from deepface.models.demography.Age import WEIGHTS_URL as AGE_WEIGHTS
+    from deepface.models.demography.Gender import WEIGHTS_URL as GENDER_WEIGHTS
+    from deepface.models.demography.Race import WEIGHTS_URL as RACE_WEIGHTS
+    from deepface.models.demography.Emotion import WEIGHTS_URL as EMOTION_WEIGHTS
+    from deepface.models.spoofing.FasNet import (
+        FIRST_WEIGHTS_URL as FASNET_1ST_WEIGHTS,
+        SECOND_WEIGHTS_URL as FASNET_2ND_WEIGHTS,
+    )
+    from deepface.models.face_detection.Ssd import (
+        MODEL_URL as SSD_MODEL,
+        WEIGHTS_URL as SSD_WEIGHTS,
+    )
+    from deepface.models.face_detection.Yolo import (
+        WEIGHT_URL as YOLOV8_WEIGHTS,
+        WEIGHT_NAME as YOLOV8_WEIGHT_NAME,
+    )
+    from deepface.models.face_detection.YuNet import WEIGHTS_URL as YUNET_WEIGHTS
+    from deepface.models.face_detection.Dlib import WEIGHTS_URL as DLIB_FD_WEIGHTS
+    from deepface.models.face_detection.CenterFace import WEIGHTS_URL as CENTERFACE_WEIGHTS
+
+    WEIGHTS = [
+        # facial recognition
+        VGGFACE_WEIGHTS,
+        FACENET128_WEIGHTS,
+        FACENET512_WEIGHTS,
+        OPENFACE_WEIGHTS,
+        FBDEEPFACE_WEIGHTS,
+        ARCFACE_WEIGHTS,
+        DEEPID_WEIGHTS,
+        SFACE_WEIGHTS,
+        {
+            "filename": "ghostfacenet_v1.h5",
+            "url": GHOSTFACENET_WEIGHTS,
+        },
+        DLIB_FR_WEIGHTS,
+        # demography
+        AGE_WEIGHTS,
+        GENDER_WEIGHTS,
+        RACE_WEIGHTS,
+        EMOTION_WEIGHTS,
+        # spoofing
+        FASNET_1ST_WEIGHTS,
+        FASNET_2ND_WEIGHTS,
+        # face detection
+        SSD_MODEL,
+        SSD_WEIGHTS,
+        {
+            "filename": YOLOV8_WEIGHT_NAME,
+            "url": YOLOV8_WEIGHTS,
+        },
+        YUNET_WEIGHTS,
+        DLIB_FD_WEIGHTS,
+        CENTERFACE_WEIGHTS,
+    ]
+
     for i in WEIGHTS:
         if isinstance(i, str):
             url = i