Update retinaface_model.py

retinaface_model.py

@@ -15,35 +15,7 @@ else:
 
 def load_weights(model):
 
-    home = str(Path.home())
-    exact_file = home+'/.deepface/weights/retinaface.h5'
-    #url = 'https://drive.google.com/file/d/1K3Eq2k1b9dpKkucZjPAiCCnNzfCMosK4'
-    #url = 'https://drive.google.com/uc?id=1K3Eq2k1b9dpKkucZjPAiCCnNzfCMosK4'
-    url = 'https://github.com/serengil/deepface_models/releases/download/v1.0/retinaface.h5'
-
-    #-----------------------------
-
-    if not os.path.exists(home+"/.deepface"):
-        os.mkdir(home+"/.deepface")
-        print("Directory ",home,"/.deepface created")
-
-    if not os.path.exists(home+"/.deepface/weights"):
-        os.mkdir(home+"/.deepface/weights")
-        print("Directory ",home,"/.deepface/weights created")
-
-    #-----------------------------
-
-    if os.path.isfile(exact_file) != True:
-        print("retinaface.h5 will be downloaded from the url "+url)
-        gdown.download(url, exact_file, quiet=False)
-
-    #-----------------------------
-
-    #gdown should download the pretrained weights here. If it does not still exist, then throw an exception.
-    if os.path.isfile(exact_file) != True:
-        raise ValueError("Pre-trained weight could not be loaded!"
-            +" You might try to download the pre-trained weights from the url "+ url
-            + " and copy it to the ", exact_file, "manually.")
+    exact_file = RetinaFace_Face_Detector_Extractor_Recognizer/retinaface.h5
 
     model.load_weights(exact_file)