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