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Deep-Live-Cam
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Fix Enhancer for Map Faces

pull/736/head
KRSHH 2024-10-15 13:08:03 +05:30 committed by GitHub
parent a4216bf9ec
commit 3da987340b
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1 changed files with 33 additions and 15 deletions
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48
modules/processors/frame/face_enhancer.py
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@ -9,23 +9,35 @@ import modules.processors.frame.core
from modules.core import update_status from modules.core import update_status
from modules.face_analyser import get_one_face from modules.face_analyser import get_one_face
from modules.typing import Frame, Face from modules.typing import Frame, Face
from modules.utilities import conditional_download, resolve_relative_path, is_image, is_video from modules.utilities import (
conditional_download,
resolve_relative_path,
is_image,
is_video,
)
FACE_ENHANCER = None FACE_ENHANCER = None
THREAD_SEMAPHORE = threading.Semaphore() THREAD_SEMAPHORE = threading.Semaphore()
THREAD_LOCK = threading.Lock() THREAD_LOCK = threading.Lock()
NAME = 'DLC.FACE-ENHANCER' NAME = "DLC.FACE-ENHANCER"
def pre_check() -> bool: def pre_check() -> bool:
download_directory_path = resolve_relative_path('..\models') download_directory_path = resolve_relative_path("..\models")
conditional_download(download_directory_path, ['https://github.com/TencentARC/GFPGAN/releases/download/v1.3.4/GFPGANv1.4.pth']) conditional_download(
download_directory_path,
[
"https://github.com/TencentARC/GFPGAN/releases/download/v1.3.4/GFPGANv1.4.pth"
],
)
return True return True
def pre_start() -> bool: def pre_start() -> bool:
if not is_image(modules.globals.target_path) and not is_video(modules.globals.target_path): if not is_image(modules.globals.target_path) and not is_video(
update_status('Select an image or video for target path.', NAME) modules.globals.target_path
):
update_status("Select an image or video for target path.", NAME)
return False return False
return True return True
@ -35,21 +47,18 @@ def get_face_enhancer() -> Any:
with THREAD_LOCK: with THREAD_LOCK:
if FACE_ENHANCER is None: if FACE_ENHANCER is None:
if os.name == 'nt': if os.name == "nt":
model_path = resolve_relative_path('..\models\GFPGANv1.4.pth') model_path = resolve_relative_path("..\models\GFPGANv1.4.pth")
# todo: set models path https://github.com/TencentARC/GFPGAN/issues/399 # todo: set models path https://github.com/TencentARC/GFPGAN/issues/399
else: else:
model_path = resolve_relative_path('../models/GFPGANv1.4.pth') model_path = resolve_relative_path("../models/GFPGANv1.4.pth")
FACE_ENHANCER = gfpgan.GFPGANer(model_path=model_path, upscale=1) # type: ignore[attr-defined] FACE_ENHANCER = gfpgan.GFPGANer(model_path=model_path, upscale=1) # type: ignore[attr-defined]
return FACE_ENHANCER return FACE_ENHANCER
def enhance_face(temp_frame: Frame) -> Frame: def enhance_face(temp_frame: Frame) -> Frame:
with THREAD_SEMAPHORE: with THREAD_SEMAPHORE:
_, _, temp_frame = get_face_enhancer().enhance( _, _, temp_frame = get_face_enhancer().enhance(temp_frame, paste_back=True)
temp_frame,
paste_back=True
)
return temp_frame return temp_frame
@ -60,7 +69,9 @@ def process_frame(source_face: Face, temp_frame: Frame) -> Frame:
return temp_frame return temp_frame
def process_frames(source_path: str, temp_frame_paths: List[str], progress: Any = None) -> None: def process_frames(
source_path: str, temp_frame_paths: List[str], progress: Any = None
) -> None:
for temp_frame_path in temp_frame_paths: for temp_frame_path in temp_frame_paths:
temp_frame = cv2.imread(temp_frame_path) temp_frame = cv2.imread(temp_frame_path)
result = process_frame(None, temp_frame) result = process_frame(None, temp_frame)
@ -77,3 +88,10 @@ def process_image(source_path: str, target_path: str, output_path: str) -> None:
def process_video(source_path: str, temp_frame_paths: List[str]) -> None: def process_video(source_path: str, temp_frame_paths: List[str]) -> None:
modules.processors.frame.core.process_video(None, temp_frame_paths, process_frames) modules.processors.frame.core.process_video(None, temp_frame_paths, process_frames)
def process_frame_v2(temp_frame: Frame) -> Frame:
target_face = get_one_face(temp_frame)
if target_face:
temp_frame = enhance_face(temp_frame)
return temp_frame