sandhyasinha655 commited on
Commit
f988474
·
verified ·
1 Parent(s): 9692264

Update run.py

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Files changed (1) hide show
  1. run.py +18 -28
run.py CHANGED
@@ -1,12 +1,9 @@
1
  import os
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- import time
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  from moviepy.editor import VideoFileClip
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- from PIL import Image
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  import insightface
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  import cv2
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- import numpy as np
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- # Load model once
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  model = insightface.app.FaceAnalysis(name="buffalo_l", providers=["CPUExecutionProvider"])
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  model.prepare(ctx_id=0)
12
 
@@ -22,35 +19,28 @@ def swap_face(source_path, target_path, output_path):
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  faces = model.get(target_img)
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  if len(faces) == 0:
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  raise Exception("No face found in target.")
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- target_img[faces[0].bbox.astype(int)[1]:faces[0].bbox.astype(int)[3],
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- faces[0].bbox.astype(int)[0]:faces[0].bbox.astype(int)[2]] = \
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- source_img[source_face.bbox.astype(int)[1]:source_face.bbox.astype(int)[3],
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- source_face.bbox.astype(int)[0]:source_face.bbox.astype(int)[2]]
 
 
 
 
 
 
 
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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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- frame_bgr[faces[0].bbox.astype(int)[1]:faces[0].bbox.astype(int)[3],
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- faces[0].bbox.astype(int)[0]:faces[0].bbox.astype(int)[2]] = \
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- source_img[source_face.bbox.astype(int)[1]:source_face.bbox.astype(int)[3],
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- source_face.bbox.astype(int)[0]:source_face.bbox.astype(int)[2]]
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- return cv2.cvtColor(frame_bgr, cv2.COLOR_BGR2RGB)
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-
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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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-
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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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-
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- # ✅ Safety check – wait for output file to be created
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- for _ in range(5):
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- if os.path.exists(output_path):
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- return output_path
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- time.sleep(1)
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-
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- raise Exception("Output file not generated.")
 
1
  import os
 
2
  from moviepy.editor import VideoFileClip
 
3
  import insightface
4
  import cv2
 
5
 
6
+ # Load InsightFace model
7
  model = insightface.app.FaceAnalysis(name="buffalo_l", providers=["CPUExecutionProvider"])
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  model.prepare(ctx_id=0)
9
 
 
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  faces = model.get(target_img)
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  if len(faces) == 0:
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  raise Exception("No face found in target.")
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+
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+ # Crop and resize source face
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+ sx1, sy1, sx2, sy2 = source_face.bbox.astype(int)
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+ source_crop = source_img[sy1:sy2, sx1:sx2]
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+
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+ tx1, ty1, tx2, ty2 = faces[0].bbox.astype(int)
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+ target_w, target_h = tx2 - tx1, ty2 - ty1
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+ source_resized = cv2.resize(source_crop, (target_w, target_h))
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+
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+ # Paste on target
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+ target_img[ty1:ty2, tx1:tx2] = source_resized
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  cv2.imwrite(output_path, target_img)
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35
  else:
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  clip = VideoFileClip(target_path)
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+
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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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+ tx1, ty1, tx2, ty2 = faces[0].bbox.astype(int)
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+ target_w, target_h = tx2 - tx1, ty2 - ty1
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+
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+ sx1, sy1, sx2, sy2 = source_face.bbox.astype(int)
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+ source_crop = source_img