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import os
from moviepy.editor import VideoFileClip
import cv2
import numpy as np
import insightface
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)
faces = model.get(source_img)
if len(faces) == 0:
raise Exception("No face found in source.")
source_face = faces[0]
if target_path.endswith(".jpg"):
target_img = cv2.imread(target_path)
faces = model.get(target_img)
if len(faces) == 0:
raise Exception("No face found in target.")
target_img[faces[0].bbox.astype(int)[1]:faces[0].bbox.astype(int)[3],
faces[0].bbox.astype(int)[0]:faces[0].bbox.astype(int)[2]] = source_img[source_face.bbox.astype(int)[1]:source_face.bbox.astype(int)[3],
source_face.bbox.astype(int)[0]:source_face.bbox.astype(int)[2]]
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:
frame_bgr[faces[0].bbox.astype(int)[1]:faces[0].bbox.astype(int)[3],
faces[0].bbox.astype(int)[0]:faces[0].bbox.astype(int)[2]] = source_img[source_face.bbox.astype(int)[1]:source_face.bbox.astype(int)[3],
source_face.bbox.astype(int)[0]:source_face.bbox.astype(int)[2]]
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 |