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Add a processer bar with remain time for CLI

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Pikachu~~~ 2023-06-01 00:50:58 +08:00 committed by GitHub
parent 38fb60efca
commit cfd29513b4
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1 changed files with 45 additions and 42 deletions
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core/processor.py
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@ -1,42 +1,45 @@
import os
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))
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)
print('.', end='', flush=True)
else:
print('S', end='', flush=True)
except Exception:
print('E', end='', flush=True)
pass
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.config import get_face
from tqdm import tqdm
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 pbar:
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)
pbar.set_postfix(status='.', refresh=True)
else:
pbar.set_postfix(status='S', refresh=True)
except Exception:
pbar.set_postfix(status='E', refresh=True)
pass
pbar.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")