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Merge pull request #46 from bandi13/returnWhenFaceFound

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Return when face found
This commit is contained in:
xaviviro
2023-06-21 10:51:43 +02:00
committed by GitHub
parent 212e9fc532 19d039d145
commit 67c69136a5
1 changed files with 19 additions and 16 deletions
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35
refacer.py
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@@ -61,7 +61,7 @@ class Refacer:
print(f"CoreML mode with providers {self.providers}")
elif 'CUDAExecutionProvider' in self.providers:
self.mode = RefacerMode.CUDA
self.use_num_cpus = 1
self.use_num_cpus = 2
self.sess_options.intra_op_num_threads = 1
if 'TensorrtExecutionProvider' in self.providers:
self.providers.remove('TensorrtExecutionProvider')
@@ -149,21 +149,21 @@ class Refacer:
ret.append(face)
return ret
def process_first_face(self,frame):
faces = self.__get_faces(frame,max_num=1)
if len(faces) != 0:
frame = self.face_swapper.get(frame, faces[0], self.replacement_faces[0][1], paste_back=True)
return frame
def process_faces(self,frame):
max_num=0
if self.first_face:
max_num=1
faces = self.__get_faces(frame,max_num=max_num)
for face in faces:
if self.first_face:
frame = self.face_swapper.get(frame, face, self.replacement_faces[0][1], paste_back=True)
break
else:
for rep_face in self.replacement_faces:
sim = self.rec_app.compute_sim(rep_face[0], face.embedding)
if sim>=rep_face[2]:
frame = self.face_swapper.get(frame, face, rep_face[1], paste_back=True)
faces = self.__get_faces(frame,max_num=0)
for rep_face in self.replacement_faces:
for i in range(len(faces) - 1, -1, -1):
sim = self.rec_app.compute_sim(rep_face[0], faces[i].embedding)
if sim>=rep_face[2]:
frame = self.face_swapper.get(frame, faces[i], rep_face[1], paste_back=True)
del faces[i]
break
return frame
def __check_video_has_audio(self,video_path):
@@ -175,7 +175,10 @@ class Refacer:
def reface_group(self, faces, frames, output):
with ThreadPoolExecutor(max_workers = self.use_num_cpus) as executor:
results = list(tqdm(executor.map(self.process_faces, frames), total=len(frames),desc="Processing frames"))
if self.first_face:
results = list(tqdm(executor.map(self.process_first_face, frames), total=len(frames),desc="Processing frames"))
else:
results = list(tqdm(executor.map(self.process_faces, frames), total=len(frames),desc="Processing frames"))
for result in results:
output.write(result)