From ea43de9baab27597ed2ef21c2b39b9e3e880a99d Mon Sep 17 00:00:00 2001
From: Sefik Ilkin Serengil <serengil@gmail.com>
Date: Fri, 10 Feb 2023 13:11:30 +0000
Subject: [PATCH] if detector is skipped, then resizing is missing in
 representation

---
 deepface/DeepFace.py | 30 +++++++++---------------------
 1 file changed, 9 insertions(+), 21 deletions(-)

diff --git a/deepface/DeepFace.py b/deepface/DeepFace.py
index d7b18be..fb61718 100644
--- a/deepface/DeepFace.py
+++ b/deepface/DeepFace.py
@@ -639,28 +639,16 @@ def represent(
     model = build_model(model_name)
 
     # ---------------------------------
-    # we have run pre-process in verification. so, this can be skipped if it is coming from verify.
-    if detector_backend != "skip":
-        target_size = functions.find_target_size(model_name=model_name)
+    target_size = functions.find_target_size(model_name=model_name)
 
-        img_objs = functions.extract_faces(
-            img=img_path,
-            target_size=target_size,
-            detector_backend=detector_backend,
-            grayscale=False,
-            enforce_detection=enforce_detection,
-            align=align,
-        )
-    else:  # skip
-        if isinstance(img_path, str):
-            img = functions.load_image(img_path)
-        elif type(img_path).__module__ == np.__name__:
-            img = img_path.copy()
-        else:
-            raise ValueError(f"unexpected type for img_path - {type(img_path)}")
-
-        img_region = [0, 0, img.shape[1], img.shape[0]]
-        img_objs = [(img, img_region, 0)]
+    img_objs = functions.extract_faces(
+        img=img_path,
+        target_size=target_size,
+        detector_backend=detector_backend,
+        grayscale=False,
+        enforce_detection=enforce_detection,
+        align=align,
+    )
     # ---------------------------------
 
     for img, region, _ in img_objs: