Rename files

This commit is contained in:
henryruhs 2023-05-31 21:17:01 +02:00
parent f85ae76367
commit cec2c21401
3 changed files with 46 additions and 46 deletions

View File

@ -1,44 +1,44 @@
import os
from tqdm import tqdm
import cv2
import insightface
import core.globals
from core.config import get_face
FACE_SWAPPER = None
def get_face_swapper():
global FACE_SWAPPER
if FACE_SWAPPER is None:
model_path = os.path.join(os.path.abspath(os.path.dirname(__file__)), '../inswapper_128.onnx')
FACE_SWAPPER = insightface.model_zoo.get_model(model_path, providers=core.globals.providers)
return FACE_SWAPPER
def process_video(source_img, frame_paths):
source_face = get_face(cv2.imread(source_img))
with tqdm(total=len(frame_paths), desc="Processing", unit="frame", dynamic_ncols=True, bar_format='{l_bar}{bar}| {n_fmt}/{total_fmt} [{elapsed}<{remaining}, {rate_fmt}{postfix}]') as progress:
for frame_path in frame_paths:
frame = cv2.imread(frame_path)
try:
face = get_face(frame)
if face:
result = get_face_swapper().get(frame, face, source_face, paste_back=True)
cv2.imwrite(frame_path, result)
progress.set_postfix(status='.', refresh=True)
else:
progress.set_postfix(status='S', refresh=True)
except Exception:
progress.set_postfix(status='E', refresh=True)
pass
progress.update(1)
def process_img(source_img, target_path, output_file):
frame = cv2.imread(target_path)
face = get_face(frame)
source_face = get_face(cv2.imread(source_img))
result = get_face_swapper().get(frame, face, source_face, paste_back=True)
cv2.imwrite(output_file, result)
print("\n\nImage saved as:", output_file, "\n\n")
import os
from tqdm import tqdm
import cv2
import insightface
import core.globals
from core.analyser import get_face
FACE_SWAPPER = None
def get_face_swapper():
global FACE_SWAPPER
if FACE_SWAPPER is None:
model_path = os.path.join(os.path.abspath(os.path.dirname(__file__)), '../inswapper_128.onnx')
FACE_SWAPPER = insightface.model_zoo.get_model(model_path, providers=core.globals.providers)
return FACE_SWAPPER
def process_video(source_img, frame_paths):
source_face = get_face(cv2.imread(source_img))
with tqdm(total=len(frame_paths), desc="Processing", unit="frame", dynamic_ncols=True, bar_format='{l_bar}{bar}| {n_fmt}/{total_fmt} [{elapsed}<{remaining}, {rate_fmt}{postfix}]') as progress:
for frame_path in frame_paths:
frame = cv2.imread(frame_path)
try:
face = get_face(frame)
if face:
result = get_face_swapper().get(frame, face, source_face, paste_back=True)
cv2.imwrite(frame_path, result)
progress.set_postfix(status='.', refresh=True)
else:
progress.set_postfix(status='S', refresh=True)
except Exception:
progress.set_postfix(status='E', refresh=True)
pass
progress.update(1)
def process_img(source_img, target_path, output_file):
frame = cv2.imread(target_path)
face = get_face(frame)
source_face = get_face(cv2.imread(source_img))
result = get_face_swapper().get(frame, face, source_face, paste_back=True)
cv2.imwrite(output_file, result)
print("\n\nImage saved as:", output_file, "\n\n")

4
run.py
View File

@ -21,9 +21,9 @@ import cv2
import threading
from PIL import Image, ImageTk
import core.globals
from core.processor import process_video, process_img
from core.swapper import process_video, process_img
from core.utils import is_img, detect_fps, set_fps, create_video, add_audio, extract_frames, rreplace
from core.config import get_face
from core.analyser import get_face
if 'ROCMExecutionProvider' in core.globals.providers:
del torch