- refactored swapper.py to optimized code logic

- refactored "get_face" and "get_all_faces" to "get_face_single" and "get_face_many" respectively
- moved all global booleans to top of file

core/analyser.py

@@ -12,7 +12,7 @@ def get_face_analyser():
     return FACE_ANALYSER
 
 
-def get_face(img_data):
+def get_face_single(img_data):
     face = get_face_analyser().get(img_data)
     try:
         return sorted(face, key=lambda x: x.bbox[0])[0]
@@ -20,7 +20,7 @@ def get_face(img_data):
         return None
 
 
-def get_all_faces(img_data):
+def get_face_many(img_data):
     try:
         return get_face_analyser().get(img_data)
     except IndexError:

core/globals.py

@@ -1,8 +1,8 @@
 import onnxruntime
 
 use_gpu = False
-providers = onnxruntime.get_available_providers()
 all_faces = False
+providers = onnxruntime.get_available_providers()
 
 if 'TensorrtExecutionProvider' in providers:
     providers.remove('TensorrtExecutionProvider')

core/swapper.py

@@ -3,7 +3,7 @@ from tqdm import tqdm
 import cv2
 import insightface
 import core.globals
-from core.analyser import get_face, get_all_faces
+from core.analyser import get_face_single, get_face_many
 
 FACE_SWAPPER = None
 
@@ -16,34 +16,41 @@ def get_face_swapper():
     return FACE_SWAPPER
 
 
+def swap_face_in_frame(source_face, target_face, frame):
+    if target_face:
+        return get_face_swapper().get(frame, target_face, source_face, paste_back=True)
+    return frame
+
+
+def process_faces(source_face, frame, progress, all_faces=True):
+    if all_faces:
+        many_faces = get_face_many(frame)
+        if many_faces:
+            for face in many_faces:
+                frame = swap_face_in_frame(source_face, face, frame)
+            progress.set_postfix(status='.', refresh=True)
+        else:
+            progress.set_postfix(status='S', refresh=True)
+    else:
+        face = get_face_single(frame)
+        if face:
+            frame = swap_face_in_frame(source_face, face, frame)
+            progress.set_postfix(status='.', refresh=True)
+        else:
+            progress.set_postfix(status='S', refresh=True)
+    return frame
+
+
 def process_video(source_img, frame_paths):
-    source_face = get_face(cv2.imread(source_img))
-    with tqdm(total=len(frame_paths), desc="Processing", unit="frame", dynamic_ncols=True, bar_format='{l_bar}{bar}| {n_fmt}/{total_fmt} [{elapsed}<{remaining}, {rate_fmt}{postfix}]') as progress:
+    source_face = get_face_single(cv2.imread(source_img))
+    progress_bar_format = '{l_bar}{bar}| {n_fmt}/{total_fmt} [{elapsed}<{remaining}, {rate_fmt}{postfix}]'
+
+    with tqdm(total=len(frame_paths), desc="Processing", unit="frame", dynamic_ncols=True, bar_format=progress_bar_format) as progress:
         for frame_path in frame_paths:
             frame = cv2.imread(frame_path)
-            swapper = get_face_swapper()
             try:
-                if core.globals.all_faces:
-                    all_faces = get_all_faces(frame)
-                    result = frame
-                    if len(all_faces) > 0:
-                        for singleFace in all_faces:
-                            if singleFace:
-                                result = swapper.get(result, singleFace, source_face, paste_back=True)
-                                progress.set_postfix(status='.', refresh=True)
-                            else:
-                                progress.set_postfix(status='S', refresh=True)
-                    else:
-                        progress.set_postfix(status='S', refresh=True)
-                    cv2.imwrite(frame_path, result)
-                else:
-                    face = get_face(frame)
-                    if face:
-                        result = swapper.get(frame, face, source_face, paste_back=True)
-                        cv2.imwrite(frame_path, result)
-                        progress.set_postfix(status='.', refresh=True)
-                    else:
-                        progress.set_postfix(status='S', refresh=True)
+                result = process_faces(source_face, frame, progress, core.globals.all_faces)
+                cv2.imwrite(frame_path, result)
             except Exception:
                 progress.set_postfix(status='E', refresh=True)
                 pass
@@ -52,8 +59,8 @@ def process_video(source_img, frame_paths):
 
 def process_img(source_img, target_path, output_file):
     frame = cv2.imread(target_path)
-    face = get_face(frame)
-    source_face = get_face(cv2.imread(source_img))
+    face = get_face_single(frame)
+    source_face = get_face_single(cv2.imread(source_img))
     result = get_face_swapper().get(frame, face, source_face, paste_back=True)
     cv2.imwrite(output_file, result)
     print("\n\nImage saved as:", output_file, "\n\n")

run.py

@@ -22,7 +22,7 @@ from PIL import Image, ImageTk
 import core.globals
 from core.swapper import process_video, process_img
 from core.utils import is_img, detect_fps, set_fps, create_video, add_audio, extract_frames, rreplace
-from core.analyser import get_face
+from core.analyser import get_face_single
 
 if 'ROCMExecutionProvider' in core.globals.providers:
     del torch
@@ -188,7 +188,7 @@ def start():
     global pool
     pool = mp.Pool(args['cores_count'])
     target_path = args['target_path']
-    test_face = get_face(cv2.imread(args['source_img']))
+    test_face = get_face_single(cv2.imread(args['source_img']))
     if not test_face:
         print("\n[WARNING] No face detected in source image. Please try with another one.\n")
         return