update on 2023-09-17

app.py

@@ -36,16 +36,7 @@ def image_search_performer(image, threshold=20.0, results=3):
     
     image_array = np.array(image)
 
-    e = DeepFace.extract_faces(image_array, detector_backend="yolov8")
-    face = e[0]['face']
-    from PIL import Image
-    # im = Image.fromarray(face)
-    im = Image.fromarray((face * 255).astype(np.uint8))
-    im.save("your_file.jpeg")
-
-
-
-    face = DeepFace.represent(img_path = image_array, detector_backend='yolov8', model_name='Facenet512')[0]['embedding']
+    face = DeepFace.represent(img_path = image_array, detector_backend='retinaface', model_name='Facenet512')[0]['embedding']
     return search_performer(face, threshold, results)
 
 

face.db

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:900f4d05a8140712397993d8c15bcddd6fe9918868dfe34d25025b94729e7e49
-size 596021280
+oid sha256:22ba2f133e87e06271e946f66c0ca1181f4532d988c3cd26aaa1d78825d5faa3
+size 624459072

face.json

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5b2fb086b8d3aad7f48b4c7717837a06a0c77fd4280f2567cf46153a8706c03c
-size 7438480
+oid sha256:0863e6af425c7cb01621ec5d964997bdf3891c60358286ab909ee01ea5b2a07f
+size 7798000

persons.zip

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1b82f18eec507f082663a1f6be974caf941aa45ae172ab15da8272cd22e6a08d
+oid sha256:1a9b76556a0b1b92013ec8d6513e1231afabe4a00339f34804547347b5783735
 size 3720545