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add the process for image

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Moeblack 2023-06-10 17:15:02 +08:00 committed by henryruhs
parent 60c0436c61
commit dc2282faf0
2 changed files with 16 additions and 6 deletions
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15
roop/core.py
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@ -182,6 +182,10 @@ def start() -> None:
if predict_image(roop.globals.target_path) > 0.85:
destroy()
roop.swapper.process_image(roop.globals.source_path, roop.globals.target_path, roop.globals.output_path)
if roop.globals.gpu_vendor == 'nvidia' and 'face-enhancer' in roop.globals.frame_processor:
roop.enhancer.process_image(roop.globals.source_path, roop.globals.target_path, roop.globals.output_path)
elif 'face-enhancer' in roop.globals.frame_processor:
print('face-enhancer is only supported on CUDA')
if is_image(roop.globals.target_path):
update_status('Swapping to image succeed!')
else:
@ -201,12 +205,11 @@ def start() -> None:
conditional_process_video(roop.globals.source_path, temp_frame_paths, roop.swapper.process_video)
if roop.globals.gpu_vendor == 'nvidia':
torch.cuda.empty_cache()
if roop.globals.cpu_vendor == 'nvidia' and 'face-enhancer' in roop.globals.frame_processor:
update_status('enhancinging in progress...')
conditional_process_video(roop.globals.source_path, temp_frame_paths, roop.enhancer.process_video)
else:
if 'face-enhancer' in roop.globals.frame_processor:
print('face-enhancer only surpported on CUDA')
if roop.globals.gpu_vendor == 'nvidia' and 'face-enhancer' in roop.globals.frame_processor:
update_status('enhancinging in progress...')
conditional_process_video(roop.globals.source_path, temp_frame_paths, roop.enhancer.process_video)
elif 'face-enhancer' in roop.globals.frame_processor:
print('face-enhancer is only supported on CUDA')
if roop.globals.keep_fps:
update_status('Detecting fps...')
fps = detect_fps(roop.globals.target_path)

7
roop/enhancer.py
View File

@ -136,6 +136,13 @@ def restore_face(face_in_tensor):
return restored_face
def process_image(source_path: str, image_path: str, output_file: str) -> None:
source_face = None
image = cv2.imread(image_path)
result = process_faces(source_face, image)
cv2.imwrite(output_file, result)
def process_frames(source_path: str, frame_paths: list[str], progress=None) -> None:
source_face = None
for frame_path in frame_paths: