Upload swap.py

scripts/swap.py

@@ -0,0 +1,48 @@
+
+import os
+from insightface.app import FaceAnalysis
+from insightface.model_zoo import get_model
+import cv2
+
+app = None
+swapper = None
+
+def setup_models(execution_provider="cpu"):
+    global app, swapper
+    if app is None:
+        app = FaceAnalysis(name="buffalo_l", providers=[execution_provider])
+        app.prepare(ctx_id=0, det_size=(640, 640))
+    if swapper is None:
+        model_path = "models/inswapper_128.onnx"
+        swapper = get_model(model_path, providers=[execution_provider])
+
+def run_swap(target_path, source_path, output_path, execution_provider="cpu", frame_processors=["face_swapper"]):
+    setup_models(execution_provider)
+
+    # Leer imágenes
+    target_img = cv2.imread(target_path)
+    source_img = cv2.imread(source_path)
+
+    # Verificar carga
+    if target_img is None or source_img is None:
+        print("❌ Error al leer las imágenes.")
+        return False
+
+    # Detectar rostros
+    target_faces = app.get(target_img)
+    source_faces = app.get(source_img)
+
+    if len(target_faces) == 0 or len(source_faces) == 0:
+        print("⚠️ No se detectaron rostros.")
+        return False
+
+    # Tomar el primer rostro detectado de la fuente
+    source_face = source_faces[0]
+
+    # Procesar cada rostro en la imagen objetivo
+    for face in target_faces:
+        target_img = swapper.get(target_img, face, source_face, paste_back=True)
+
+    # Guardar imagen final
+    cv2.imwrite(output_path, target_img)
+    return True