Rename files

core/swapper.py

@@ -1,44 +1,44 @@
-import os
-from tqdm import tqdm
-import cv2
-import insightface
-import core.globals
-from core.config import get_face
-
-FACE_SWAPPER = None
-
-
-def get_face_swapper():
-    global FACE_SWAPPER
-    if FACE_SWAPPER is None:
-        model_path = os.path.join(os.path.abspath(os.path.dirname(__file__)), '../inswapper_128.onnx')
-        FACE_SWAPPER = insightface.model_zoo.get_model(model_path, providers=core.globals.providers)
-    return FACE_SWAPPER
-
-
-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:
-        for frame_path in frame_paths:
-            frame = cv2.imread(frame_path)
-            try:
-                face = get_face(frame)
-                if face:
-                    result = get_face_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)
-            except Exception:
-                progress.set_postfix(status='E', refresh=True)
-                pass
-            progress.update(1)
-
-
-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))
-    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")
+import os
+from tqdm import tqdm
+import cv2
+import insightface
+import core.globals
+from core.analyser import get_face
+
+FACE_SWAPPER = None
+
+
+def get_face_swapper():
+    global FACE_SWAPPER
+    if FACE_SWAPPER is None:
+        model_path = os.path.join(os.path.abspath(os.path.dirname(__file__)), '../inswapper_128.onnx')
+        FACE_SWAPPER = insightface.model_zoo.get_model(model_path, providers=core.globals.providers)
+    return FACE_SWAPPER
+
+
+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:
+        for frame_path in frame_paths:
+            frame = cv2.imread(frame_path)
+            try:
+                face = get_face(frame)
+                if face:
+                    result = get_face_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)
+            except Exception:
+                progress.set_postfix(status='E', refresh=True)
+                pass
+            progress.update(1)
+
+
+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))
+    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

@@ -21,9 +21,9 @@ import cv2
 import threading
 from PIL import Image, ImageTk
 import core.globals
-from core.processor import process_video, process_img
+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.config import get_face
+from core.analyser import get_face
 
 if 'ROCMExecutionProvider' in core.globals.providers:
     del torch