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import os
from moviepy.editor import VideoFileClip
import insightface
import cv2
import numpy as np
# Load the InsightFace model
model = insightface.app.FaceAnalysis(name="buffalo_l", providers=["CPUExecutionProvider"])
model.prepare(ctx_id=0)
def swap_face(source_path, target_path, output_path):
source_img = cv2.imread(source_path)
source_faces = model.get(source_img)
if len(source_faces) == 0:
raise Exception("No face found in source.")
source_face = source_faces[0]
source_crop = source_img[
int(source_face.bbox[1]):int(source_face.bbox[3]),
int(source_face.bbox[0]):int(source_face.bbox[2])
]
if target_path.endswith(".jpg"):
target_img = cv2.imread(target_path)
target_faces = model.get(target_img)
if len(target_faces) == 0:
raise Exception("No face found in target image.")
target_face = target_faces[0]
x1, y1, x2, y2 = map(int, target_face.bbox)
resized_crop = cv2.resize(source_crop, (x2 - x1, y2 - y1))
target_img[y1:y2, x1:x2] = resized_crop
cv2.imwrite(output_path, target_img)
else:
clip = VideoFileClip(target_path)
def process_frame(frame):
frame_bgr = cv2.cvtColor(frame, cv2.COLOR_RGB2BGR)
faces = model.get(frame_bgr)
if len(faces) > 0:
face = faces[0]
x1, y1, x2, y2 = map(int, face.bbox)
resized_crop = cv2.resize(source_crop, (x2 - x1, y2 - y1))
frame_bgr[y1:y2, x1:x2] = resized_crop
return cv2.cvtColor(frame_bgr, cv2.COLOR_BGR2RGB)
new_clip = clip.fl_image(process_frame)
new_clip.write_videofile(output_path, audio=True)
def run_faceswap(source_path, target_path):
output_path = "result.jpg" if target_path.endswith(".jpg") else "result.mp4"
swap_face(source_path, target_path, output_path)
return output_path
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