From 3437464e23468b44ac510c70ad62bc882ea9f454 Mon Sep 17 00:00:00 2001
From: ResearcherXman <xhs.research@gmail.com>
Date: Mon, 26 Feb 2024 14:23:45 +0800
Subject: [PATCH] fix typos

---
 .DS_Store                          | Bin 0 -> 6148 bytes
 README.md                          |   2 +-
 gradio_demo/app-multicontrolnet.py |   7 +------
 gradio_demo/app.py                 |   2 +-
 infer.py                           |   2 +-
 infer_full.py                      |   4 ++--
 6 files changed, 6 insertions(+), 11 deletions(-)
 create mode 100644 .DS_Store

diff --git a/.DS_Store b/.DS_Store
new file mode 100644
index 0000000000000000000000000000000000000000..4cd7197aff23e88cf1bb5aa04d8db097eb947772
GIT binary patch
literal 6148
zcmeHKv2GJV5PfT(A}47qsuU5qHVq<t!6mwg7L*Slj%^tvpUz2)l#WCBh)|}Z3KB&q
z=_2?B#8)68p;URZyRm0EUqXct+Oc-udS_<m-Sgh94}jTuJ=g-e06J`f$qKs#CVpu(
zYx$XVqLDSmqpiJuSxjn?aUv=Z75Enwkb5`5BaHA0Q+@v~Kh7_;uPF2UU|b$>u5;Ns
z`MLh-YCH4~?(|Py&Yum-Po6OqOX%U4pCP6=*0o!wZ=e3|*Y$sW`F8QZ)eqJv$~lLo
z7|o+~dM-TL=%d6)GXOR}&ON&J+2`-KwSAthTKDRDKqmDP3|OxpUUPeVeW882=JwZF
z%~`Ily2!8VwhJlChxiaD)V#n1V~zvOaoGE@C`R*m|L)-juX}AR&F8K-%?pR;!fTbg
z?})qx+=C@v5QpSg2ET{tTsKE*j``J$W5c?d>HX0GUt{;}3VBY*QyBL+nv(BPz!uNn
zknO@a&9%VBt)30B^Zk5ZY`~MG{=j%<i*;5V#y%<#6^IJV6p-gb$|jh3tQ^`$2Rr);
zKukDojpMEih^fcSW95(@nsKQ_mumbghH>efPkmhGv2y6rVQgit<0~8ghGJ}W&ZjmU
zCUY43s6bR8RG{s?cIEuvZGQg`lj66iKvdwrQotnnUcSRi@@H%9;^eGN+4kAQB(8F3
lQ`q_A*bd|<USqRHUn&D)=CN|f8Cv`!U}cD1RN${Fa08Ci_8I^H

literal 0
HcmV?d00001

diff --git a/README.md b/README.md
index feb2247..ba6ed5b 100644
--- a/README.md
+++ b/README.md
@@ -144,7 +144,7 @@ face_image = load_image("./examples/yann-lecun_resize.jpg")
 
 # prepare face emb
 face_info = app.get(cv2.cvtColor(np.array(face_image), cv2.COLOR_RGB2BGR))
-face_info = sorted(face_info, key=lambda x:(x['bbox'][2]-x['bbox'][0])*x['bbox'][3]-x['bbox'][1])[-1]  # only use the maximum face
+face_info = sorted(face_info, key=lambda x:(x['bbox'][2]-x['bbox'][0])*(x['bbox'][3]-x['bbox'][1]))[-1]  # only use the maximum face
 face_emb = face_info['embedding']
 face_kps = draw_kps(face_image, face_info['kps'])
 
diff --git a/gradio_demo/app-multicontrolnet.py b/gradio_demo/app-multicontrolnet.py
index a3bc721..681a24f 100644
--- a/gradio_demo/app-multicontrolnet.py
+++ b/gradio_demo/app-multicontrolnet.py
@@ -357,12 +357,7 @@ def main(pretrained_model_name_or_path="wangqixun/YamerMIX_v8", enable_lcm_arg=F
                 f"Unable to detect a face in the image. Please upload a different photo with a clear face."
             )
 
-        face_info = sorted(
-            face_info,
-            key=lambda x: (x["bbox"][2] - x["bbox"][0]) * x["bbox"][3] - x["bbox"][1],
-        )[
-            -1
-        ]  # only use the maximum face
+        face_info = sorted(face_info, key=lambda x:(x['bbox'][2]-x['bbox'][0])*(x['bbox'][3]-x['bbox'][1]))[-1]  # only use the maximum face
         face_emb = face_info["embedding"]
         face_kps = draw_kps(convert_from_cv2_to_image(face_image_cv2), face_info["kps"])
         img_controlnet = face_image
diff --git a/gradio_demo/app.py b/gradio_demo/app.py
index 91d9949..48cab7f 100644
--- a/gradio_demo/app.py
+++ b/gradio_demo/app.py
@@ -239,7 +239,7 @@ def main(pretrained_model_name_or_path="wangqixun/YamerMIX_v8", enable_lcm_arg=F
         if len(face_info) == 0:
             raise gr.Error(f"Cannot find any face in the image! Please upload another person image")
         
-        face_info = sorted(face_info, key=lambda x:(x['bbox'][2]-x['bbox'][0])*x['bbox'][3]-x['bbox'][1])[-1]  # only use the maximum face
+        face_info = sorted(face_info, key=lambda x:(x['bbox'][2]-x['bbox'][0])*(x['bbox'][3]-x['bbox'][1]))[-1]  # only use the maximum face
         face_emb = face_info['embedding']
         face_kps = draw_kps(convert_from_cv2_to_image(face_image_cv2), face_info['kps'])
         
diff --git a/infer.py b/infer.py
index f979f13..a54a0b2 100644
--- a/infer.py
+++ b/infer.py
@@ -64,7 +64,7 @@ if __name__ == "__main__":
     face_image = resize_img(face_image)
 
     face_info = app.get(cv2.cvtColor(np.array(face_image), cv2.COLOR_RGB2BGR))
-    face_info = sorted(face_info, key=lambda x:(x['bbox'][2]-x['bbox'][0])*x['bbox'][3]-x['bbox'][1])[-1] # only use the maximum face
+    face_info = sorted(face_info, key=lambda x:(x['bbox'][2]-x['bbox'][0])*(x['bbox'][3]-x['bbox'][1]))[-1] # only use the maximum face
     face_emb = face_info['embedding']
     face_kps = draw_kps(face_image, face_info['kps'])
 
diff --git a/infer_full.py b/infer_full.py
index d0a1bb9..fe26b99 100644
--- a/infer_full.py
+++ b/infer_full.py
@@ -79,7 +79,7 @@ if __name__ == "__main__":
     face_image = resize_img(face_image)
 
     face_info = app.get(cv2.cvtColor(np.array(face_image), cv2.COLOR_RGB2BGR))
-    face_info = sorted(face_info, key=lambda x:(x['bbox'][2]-x['bbox'][0])*x['bbox'][3]-x['bbox'][1])[-1] # only use the maximum face
+    face_info = sorted(face_info, key=lambda x:(x['bbox'][2]-x['bbox'][0])*(x['bbox'][3]-x['bbox'][1]))[-1] # only use the maximum face
     face_emb = face_info['embedding']
 
     # use another reference image
@@ -88,7 +88,7 @@ if __name__ == "__main__":
 
     face_info = app.get(cv2.cvtColor(np.array(pose_image), cv2.COLOR_RGB2BGR))
     pose_image_cv2 = convert_from_image_to_cv2(pose_image)
-    face_info = sorted(face_info, key=lambda x:(x['bbox'][2]-x['bbox'][0])*x['bbox'][3]-x['bbox'][1])[-1] # only use the maximum face
+    face_info = sorted(face_info, key=lambda x:(x['bbox'][2]-x['bbox'][0])*(x['bbox'][3]-x['bbox'][1]))[-1] # only use the maximum face
     face_kps = draw_kps(pose_image, face_info['kps'])
 
     width, height = face_kps.size