Merge remote-tracking branch 'origin/next' into nsfw
# Conflicts: # roop/core.py
This commit is contained in:
commit
029b77eabf
GPG Key ID:
D3018BE7BA428CA6
4
.github/workflows/ci.yml
vendored
4
.github/workflows/ci.yml
vendored
@ -27,6 +27,6 @@ jobs:
|
||||
python-version: 3.9
|
||||
- run: pip install -r requirements.txt gdown
|
||||
- run: gdown 13QpWFWJ37EB-nHrEOY64CEtQWY-tz7DZ
|
||||
- run: ./run.py -f=.github/examples/face.jpg -t=.github/examples/target.mp4 -o=.github/examples/output.mp4
|
||||
- run: ffmpeg -i .github/examples/snapshot.mp4 -i .github/examples/output.mp4 -filter_complex "psnr" -f null -
|
||||
- run: python run.py -f=.github/examples/face.jpg -t=.github/examples/target.mp4 -o=.github/examples/output.mp4
|
||||
- run: ffmpeg -i .github/examples/snapshot.mp4 -i .github/examples/output.mp4 -filter_complex psnr -f null -
|
||||
|
||||
|
||||
2
.gitignore
vendored
2
.gitignore
vendored
@ -1,3 +1,3 @@
|
||||
.idea
|
||||
temp
|
||||
__pycache__
|
||||
*.onnx
|
||||
19
README.md
19
README.md
@ -34,23 +34,28 @@ Additional command line arguments are given below:
|
||||
```
|
||||
options:
|
||||
-h, --help show this help message and exit
|
||||
-f SOURCE_IMG, --face SOURCE_IMG
|
||||
use this face
|
||||
-f SOURCE_PATH, --face SOURCE_PATH
|
||||
use a face image
|
||||
-t TARGET_PATH, --target TARGET_PATH
|
||||
replace this face
|
||||
-o OUTPUT_FILE, --output OUTPUT_FILE
|
||||
replace image or video with face
|
||||
-o OUTPUT_PATH, --output OUTPUT_PATH
|
||||
save output to this file
|
||||
--keep-fps maintain original fps
|
||||
--keep-audio maintain original audio
|
||||
--keep-frames keep frames directory
|
||||
--all-faces swap all faces in frame
|
||||
--many-faces swap every face in the frame
|
||||
--video-encoder VIDEO_ENCODER
|
||||
adjust output video encoder
|
||||
--video-quality VIDEO_QUALITY
|
||||
adjust output video quality
|
||||
--max-memory MAX_MEMORY
|
||||
maximum amount of RAM in GB to be used
|
||||
--cpu-cores CPU_CORES
|
||||
number of CPU cores to use
|
||||
--gpu-threads GPU_THREADS
|
||||
number of threads to be use for the GPU
|
||||
--gpu-vendor {apple,amd,intel,nvidia}
|
||||
choice your GPU vendor
|
||||
--gpu-vendor {apple,amd,nvidia}
|
||||
select your GPU vendor
|
||||
```
|
||||
|
||||
Looking for a CLI mode? Using the -f/--face argument will make the program in cli mode.
|
||||
|
||||
@ -1,10 +1,11 @@
|
||||
from typing import Any
|
||||
import insightface
|
||||
import roop.globals
|
||||
|
||||
FACE_ANALYSER = None
|
||||
|
||||
|
||||
def get_face_analyser():
|
||||
def get_face_analyser() -> Any:
|
||||
global FACE_ANALYSER
|
||||
if FACE_ANALYSER is None:
|
||||
FACE_ANALYSER = insightface.app.FaceAnalysis(name='buffalo_l', providers=roop.globals.providers)
|
||||
@ -12,16 +13,16 @@ def get_face_analyser():
|
||||
return FACE_ANALYSER
|
||||
|
||||
|
||||
def get_face_single(img_data):
|
||||
face = get_face_analyser().get(img_data)
|
||||
def get_one_face(image_data) -> Any:
|
||||
face = get_face_analyser().get(image_data)
|
||||
try:
|
||||
return sorted(face, key=lambda x: x.bbox[0])[0]
|
||||
except IndexError:
|
||||
return min(face, key=lambda x: x.bbox[0])
|
||||
except ValueError:
|
||||
return None
|
||||
|
||||
|
||||
def get_face_many(img_data):
|
||||
def get_many_faces(image_data) -> Any:
|
||||
try:
|
||||
return get_face_analyser().get(img_data)
|
||||
return get_face_analyser().get(image_data)
|
||||
except IndexError:
|
||||
return None
|
||||
|
||||
12
roop/capturer.py
Normal file
12
roop/capturer.py
Normal file
@ -0,0 +1,12 @@
|
||||
import cv2
|
||||
|
||||
|
||||
def get_video_frame(video_path: str, frame_number: int = 1):
|
||||
capture = cv2.VideoCapture(video_path)
|
||||
frame_total = capture.get(cv2.CAP_PROP_FRAME_COUNT)
|
||||
capture.set(cv2.CAP_PROP_POS_FRAMES, min(frame_total, frame_number - 1))
|
||||
has_frame, frame = capture.read()
|
||||
capture.release()
|
||||
if has_frame:
|
||||
return cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
|
||||
return None
|
||||
377
roop/core.py
377
roop/core.py
@ -5,75 +5,100 @@ import sys
|
||||
# single thread doubles performance of gpu-mode - needs to be set before torch import
|
||||
if any(arg.startswith('--gpu-vendor') for arg in sys.argv):
|
||||
os.environ['OMP_NUM_THREADS'] = '1'
|
||||
# reduce tensorflow log level
|
||||
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
|
||||
import warnings
|
||||
from typing import List
|
||||
import platform
|
||||
import signal
|
||||
import shutil
|
||||
import glob
|
||||
import argparse
|
||||
import psutil
|
||||
import torch
|
||||
import tensorflow
|
||||
from pathlib import Path
|
||||
import multiprocessing as mp
|
||||
import multiprocessing
|
||||
from opennsfw2 import predict_video_frames, predict_image
|
||||
import cv2
|
||||
|
||||
import roop.globals
|
||||
from roop.swapper import process_video, process_img, process_faces, process_frames
|
||||
from roop.utils import is_img, detect_fps, set_fps, create_video, add_audio, extract_frames, rreplace
|
||||
from roop.analyser import get_face_single
|
||||
import roop.ui as ui
|
||||
from roop.swapper import process_video, process_image
|
||||
from roop.utilities import has_image_extention, is_image, is_video, detect_fps, create_video, extract_frames, get_temp_frames_paths, restore_audio, create_temp, move_temp, clean_temp
|
||||
from roop.analyser import get_one_face
|
||||
|
||||
signal.signal(signal.SIGINT, lambda signal_number, frame: quit())
|
||||
parser = argparse.ArgumentParser()
|
||||
parser.add_argument('-f', '--face', help='use this face', dest='source_img')
|
||||
parser.add_argument('-t', '--target', help='replace this face', dest='target_path')
|
||||
parser.add_argument('-o', '--output', help='save output to this file', dest='output_file')
|
||||
parser.add_argument('--keep-fps', help='maintain original fps', dest='keep_fps', action='store_true', default=False)
|
||||
parser.add_argument('--keep-frames', help='keep frames directory', dest='keep_frames', action='store_true', default=False)
|
||||
parser.add_argument('--all-faces', help='swap all faces in frame', dest='all_faces', action='store_true', default=False)
|
||||
parser.add_argument('--max-memory', help='maximum amount of RAM in GB to be used', dest='max_memory', type=int)
|
||||
parser.add_argument('--cpu-cores', help='number of CPU cores to use', dest='cpu_cores', type=int, default=max(psutil.cpu_count() / 2, 1))
|
||||
parser.add_argument('--gpu-threads', help='number of threads to be use for the GPU', dest='gpu_threads', type=int, default=8)
|
||||
parser.add_argument('--gpu-vendor', help='choice your GPU vendor', dest='gpu_vendor', choices=['apple', 'amd', 'intel', 'nvidia'])
|
||||
if 'ROCMExecutionProvider' in roop.globals.providers:
|
||||
del torch
|
||||
|
||||
args = parser.parse_known_args()[0]
|
||||
|
||||
if 'all_faces' in args:
|
||||
roop.globals.all_faces = True
|
||||
|
||||
if args.cpu_cores:
|
||||
roop.globals.cpu_cores = int(args.cpu_cores)
|
||||
|
||||
# cpu thread fix for mac
|
||||
if sys.platform == 'darwin':
|
||||
roop.globals.cpu_cores = 1
|
||||
|
||||
if args.gpu_threads:
|
||||
roop.globals.gpu_threads = int(args.gpu_threads)
|
||||
|
||||
# gpu thread fix for amd
|
||||
if args.gpu_vendor == 'amd':
|
||||
roop.globals.gpu_threads = 1
|
||||
|
||||
if args.gpu_vendor:
|
||||
roop.globals.gpu_vendor = args.gpu_vendor
|
||||
else:
|
||||
roop.globals.providers = ['CPUExecutionProvider']
|
||||
|
||||
sep = "/"
|
||||
if os.name == "nt":
|
||||
sep = "\\"
|
||||
warnings.simplefilter(action='ignore', category=FutureWarning)
|
||||
|
||||
|
||||
def limit_resources():
|
||||
def parse_args() -> None:
|
||||
signal.signal(signal.SIGINT, lambda signal_number, frame: destroy())
|
||||
parser = argparse.ArgumentParser()
|
||||
parser.add_argument('-f', '--face', help='use a face image', dest='source_path')
|
||||
parser.add_argument('-t', '--target', help='replace image or video with face', dest='target_path')
|
||||
parser.add_argument('-o', '--output', help='save output to this file', dest='output_path')
|
||||
parser.add_argument('--keep-fps', help='maintain original fps', dest='keep_fps', action='store_true', default=False)
|
||||
parser.add_argument('--keep-audio', help='maintain original audio', dest='keep_audio', action='store_true', default=True)
|
||||
parser.add_argument('--keep-frames', help='keep frames directory', dest='keep_frames', action='store_true', default=False)
|
||||
parser.add_argument('--many-faces', help='swap every face in the frame', dest='many_faces', action='store_true', default=False)
|
||||
parser.add_argument('--video-encoder', help='adjust output video encoder', dest='video_encoder', default='libx264')
|
||||
parser.add_argument('--video-quality', help='adjust output video quality', dest='video_quality', type=int, default=18)
|
||||
parser.add_argument('--max-memory', help='maximum amount of RAM in GB to be used', dest='max_memory', type=int, default=suggest_max_memory())
|
||||
parser.add_argument('--cpu-cores', help='number of CPU cores to use', dest='cpu_cores', type=int, default=suggest_cpu_cores())
|
||||
parser.add_argument('--gpu-threads', help='number of threads to be use for the GPU', dest='gpu_threads', type=int, default=suggest_gpu_threads())
|
||||
parser.add_argument('--gpu-vendor', help='select your GPU vendor', dest='gpu_vendor', choices=['apple', 'amd', 'nvidia'])
|
||||
|
||||
args = parser.parse_known_args()[0]
|
||||
|
||||
roop.globals.source_path = args.source_path
|
||||
roop.globals.target_path = args.target_path
|
||||
roop.globals.output_path = args.output_path
|
||||
roop.globals.headless = args.source_path or args.target_path or args.output_path
|
||||
roop.globals.keep_fps = args.keep_fps
|
||||
roop.globals.keep_audio = args.keep_audio
|
||||
roop.globals.keep_frames = args.keep_frames
|
||||
roop.globals.many_faces = args.many_faces
|
||||
roop.globals.video_encoder = args.video_encoder
|
||||
roop.globals.video_quality = args.video_quality
|
||||
roop.globals.max_memory = args.max_memory
|
||||
roop.globals.cpu_cores = args.cpu_cores
|
||||
roop.globals.gpu_threads = args.gpu_threads
|
||||
|
||||
if args.gpu_vendor:
|
||||
roop.globals.gpu_vendor = args.gpu_vendor
|
||||
else:
|
||||
roop.globals.providers = ['CPUExecutionProvider']
|
||||
|
||||
|
||||
def suggest_max_memory() -> int:
|
||||
if platform.system().lower() == 'darwin':
|
||||
return 4
|
||||
return 16
|
||||
|
||||
|
||||
def suggest_gpu_threads() -> int:
|
||||
if 'ROCMExecutionProvider' in roop.globals.providers:
|
||||
return 2
|
||||
return 8
|
||||
|
||||
|
||||
def suggest_cpu_cores() -> int:
|
||||
if platform.system().lower() == 'darwin':
|
||||
return 2
|
||||
return int(max(psutil.cpu_count() / 2, 1))
|
||||
|
||||
|
||||
def limit_resources() -> None:
|
||||
# prevent tensorflow memory leak
|
||||
gpus = tensorflow.config.experimental.list_physical_devices('GPU')
|
||||
for gpu in gpus:
|
||||
tensorflow.config.experimental.set_memory_growth(gpu, True)
|
||||
if args.max_memory:
|
||||
memory = args.max_memory * 1024 * 1024 * 1024
|
||||
if str(platform.system()).lower() == 'windows':
|
||||
if roop.globals.max_memory:
|
||||
memory = roop.globals.max_memory * 1024 ** 3
|
||||
if platform.system().lower() == 'darwin':
|
||||
memory = roop.globals.max_memory * 1024 ** 6
|
||||
if platform.system().lower() == 'windows':
|
||||
import ctypes
|
||||
kernel32 = ctypes.windll.kernel32
|
||||
kernel32.SetProcessWorkingSetSize(-1, ctypes.c_size_t(memory), ctypes.c_size_t(memory))
|
||||
@ -82,9 +107,9 @@ def limit_resources():
|
||||
resource.setrlimit(resource.RLIMIT_DATA, (memory, memory))
|
||||
|
||||
|
||||
def pre_check():
|
||||
def pre_check() -> None:
|
||||
if sys.version_info < (3, 9):
|
||||
quit('Python version is not supported - please upgrade to 3.9 or higher')
|
||||
quit('Python version is not supported - please upgrade to 3.9 or higher.')
|
||||
if not shutil.which('ffmpeg'):
|
||||
quit('ffmpeg is not installed!')
|
||||
model_path = os.path.join(os.path.abspath(os.path.dirname(__file__)), '../inswapper_128.onnx')
|
||||
@ -92,189 +117,117 @@ def pre_check():
|
||||
quit('File "inswapper_128.onnx" does not exist!')
|
||||
if roop.globals.gpu_vendor == 'apple':
|
||||
if 'CoreMLExecutionProvider' not in roop.globals.providers:
|
||||
quit("You are using --gpu=apple flag but CoreML isn't available or properly installed on your system.")
|
||||
quit('You are using --gpu=apple flag but CoreML is not available or properly installed on your system.')
|
||||
if roop.globals.gpu_vendor == 'amd':
|
||||
if 'ROCMExecutionProvider' not in roop.globals.providers:
|
||||
quit("You are using --gpu=amd flag but ROCM isn't available or properly installed on your system.")
|
||||
quit('You are using --gpu=amd flag but ROCM is not available or properly installed on your system.')
|
||||
if roop.globals.gpu_vendor == 'nvidia':
|
||||
CUDA_VERSION = torch.version.cuda
|
||||
CUDNN_VERSION = torch.backends.cudnn.version()
|
||||
if not torch.cuda.is_available():
|
||||
quit("You are using --gpu=nvidia flag but CUDA isn't available or properly installed on your system.")
|
||||
if CUDA_VERSION > '11.8':
|
||||
quit(f"CUDA version {CUDA_VERSION} is not supported - please downgrade to 11.8")
|
||||
if CUDA_VERSION < '11.4':
|
||||
quit(f"CUDA version {CUDA_VERSION} is not supported - please upgrade to 11.8")
|
||||
if CUDNN_VERSION < 8220:
|
||||
quit(f"CUDNN version {CUDNN_VERSION} is not supported - please upgrade to 8.9.1")
|
||||
if CUDNN_VERSION > 8910:
|
||||
quit(f"CUDNN version {CUDNN_VERSION} is not supported - please downgrade to 8.9.1")
|
||||
quit('You are using --gpu=nvidia flag but CUDA is not available or properly installed on your system.')
|
||||
if torch.version.cuda > '11.8':
|
||||
quit(f'CUDA version {torch.version.cuda} is not supported - please downgrade to 11.8')
|
||||
if torch.version.cuda < '11.4':
|
||||
quit(f'CUDA version {torch.version.cuda} is not supported - please upgrade to 11.8')
|
||||
if torch.backends.cudnn.version() < 8220:
|
||||
quit(f'CUDNN version { torch.backends.cudnn.version()} is not supported - please upgrade to 8.9.1')
|
||||
if torch.backends.cudnn.version() > 8910:
|
||||
quit(f'CUDNN version { torch.backends.cudnn.version()} is not supported - please downgrade to 8.9.1')
|
||||
|
||||
|
||||
def get_video_frame(video_path, frame_number = 1):
|
||||
cap = cv2.VideoCapture(video_path)
|
||||
amount_of_frames = cap.get(cv2.CAP_PROP_FRAME_COUNT)
|
||||
cap.set(cv2.CAP_PROP_POS_FRAMES, min(amount_of_frames, frame_number-1))
|
||||
if not cap.isOpened():
|
||||
print("Error opening video file")
|
||||
return
|
||||
ret, frame = cap.read()
|
||||
if ret:
|
||||
return cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
|
||||
|
||||
cap.release()
|
||||
|
||||
|
||||
def preview_video(video_path):
|
||||
cap = cv2.VideoCapture(video_path)
|
||||
if not cap.isOpened():
|
||||
print("Error opening video file")
|
||||
return 0
|
||||
amount_of_frames = cap.get(cv2.CAP_PROP_FRAME_COUNT)
|
||||
ret, frame = cap.read()
|
||||
if ret:
|
||||
frame = get_video_frame(video_path)
|
||||
|
||||
cap.release()
|
||||
return (amount_of_frames, frame)
|
||||
|
||||
|
||||
def status(string):
|
||||
value = "Status: " + string
|
||||
if 'cli_mode' in args:
|
||||
print(value)
|
||||
else:
|
||||
ui.update_status_label(value)
|
||||
|
||||
|
||||
def process_video_multi_cores(source_img, frame_paths):
|
||||
n = len(frame_paths) // roop.globals.cpu_cores
|
||||
if n > 2:
|
||||
processes = []
|
||||
for i in range(0, len(frame_paths), n):
|
||||
p = POOL.apply_async(process_video, args=(source_img, frame_paths[i:i + n],))
|
||||
processes.append(p)
|
||||
for p in processes:
|
||||
p.get()
|
||||
def conditional_process_video(source_path: str, frame_paths: List[str]) -> None:
|
||||
pool_amount = len(frame_paths) // roop.globals.cpu_cores
|
||||
if pool_amount > 2 and roop.globals.cpu_cores > 1 and roop.globals.gpu_vendor is None:
|
||||
global POOL
|
||||
POOL = multiprocessing.Pool(roop.globals.cpu_cores, maxtasksperchild=1)
|
||||
pools = []
|
||||
for i in range(0, len(frame_paths), pool_amount):
|
||||
pool = POOL.apply_async(process_video, args=(source_path, frame_paths[i:i + pool_amount], 'cpu'))
|
||||
pools.append(pool)
|
||||
for pool in pools:
|
||||
pool.get()
|
||||
POOL.close()
|
||||
POOL.join()
|
||||
else:
|
||||
process_video(roop.globals.source_path, frame_paths, 'gpu')
|
||||
|
||||
|
||||
def start(preview_callback = None):
|
||||
if not args.source_img or not os.path.isfile(args.source_img):
|
||||
print("\n[WARNING] Please select an image containing a face.")
|
||||
def update_status(message: str) -> None:
|
||||
value = 'Status: ' + message
|
||||
print(value)
|
||||
if not roop.globals.headless:
|
||||
ui.update_status(value)
|
||||
|
||||
|
||||
def start() -> None:
|
||||
if not roop.globals.source_path or not os.path.isfile(roop.globals.source_path):
|
||||
update_status('Select an image that contains a face.')
|
||||
return
|
||||
elif not args.target_path or not os.path.isfile(args.target_path):
|
||||
print("\n[WARNING] Please select a video/image to swap face in.")
|
||||
elif not roop.globals.target_path or not os.path.isfile(roop.globals.target_path):
|
||||
update_status('Select an image or video target!')
|
||||
return
|
||||
if not args.output_file:
|
||||
target_path = args.target_path
|
||||
args.output_file = rreplace(target_path, "/", "/swapped-", 1) if "/" in target_path else "swapped-" + target_path
|
||||
target_path = args.target_path
|
||||
test_face = get_face_single(cv2.imread(args.source_img))
|
||||
test_face = get_one_face(cv2.imread(roop.globals.source_path))
|
||||
if not test_face:
|
||||
print("\n[WARNING] No face detected in source image. Please try with another one.\n")
|
||||
update_status('No face detected in source image. Please try with another one!')
|
||||
return
|
||||
if is_img(target_path):
|
||||
if predict_image(target_path) > 0.85:
|
||||
quit()
|
||||
process_img(args.source_img, target_path, args.output_file)
|
||||
status("swap successful!")
|
||||
# process image to image
|
||||
if has_image_extention(roop.globals.target_path):
|
||||
if predict_image(roop.globals.target_path) > 0.85:
|
||||
destroy()
|
||||
process_image(roop.globals.source_path, roop.globals.target_path, roop.globals.output_path)
|
||||
if is_image(roop.globals.target_path):
|
||||
update_status('Swapping to image succeed!')
|
||||
else:
|
||||
update_status('Swapping to image failed!')
|
||||
return
|
||||
# seconds, probabilities = predict_video_frames(video_path=args.target_path, frame_interval=100)
|
||||
# process image to videos
|
||||
# seconds, probabilities = predict_video_frames(video_path=roop.globals.target_path, frame_interval=100)
|
||||
# if any(probability > 0.85 for probability in probabilities):
|
||||
# quit()
|
||||
video_name_full = target_path.split("/")[-1]
|
||||
video_name = os.path.splitext(video_name_full)[0]
|
||||
output_dir = os.path.dirname(target_path) + "/" + video_name if os.path.dirname(target_path) else video_name
|
||||
Path(output_dir).mkdir(exist_ok=True)
|
||||
status("detecting video's FPS...")
|
||||
fps, exact_fps = detect_fps(target_path)
|
||||
if not args.keep_fps and fps > 30:
|
||||
this_path = output_dir + "/" + video_name + ".mp4"
|
||||
set_fps(target_path, this_path, 30)
|
||||
target_path, exact_fps = this_path, 30
|
||||
# destroy()
|
||||
update_status('Creating temp resources...')
|
||||
create_temp(roop.globals.target_path)
|
||||
update_status('Extracting frames...')
|
||||
extract_frames(roop.globals.target_path)
|
||||
frame_paths = get_temp_frames_paths(roop.globals.target_path)
|
||||
update_status('Swapping in progress...')
|
||||
conditional_process_video(roop.globals.source_path, frame_paths)
|
||||
# prevent memory leak using ffmpeg with cuda
|
||||
if roop.globals.gpu_vendor == 'nvidia':
|
||||
torch.cuda.empty_cache()
|
||||
if roop.globals.keep_fps:
|
||||
update_status('Detecting fps...')
|
||||
fps = detect_fps(roop.globals.target_path)
|
||||
update_status(f'Creating video with {fps} fps...')
|
||||
create_video(roop.globals.target_path, fps)
|
||||
else:
|
||||
shutil.copy(target_path, output_dir)
|
||||
status("extracting frames...")
|
||||
extract_frames(target_path, output_dir)
|
||||
args.frame_paths = tuple(sorted(
|
||||
glob.glob(output_dir + "/*.png"),
|
||||
key=lambda x: int(x.split(sep)[-1].replace(".png", ""))
|
||||
))
|
||||
status("swapping in progress...")
|
||||
if roop.globals.gpu_vendor is None and roop.globals.cpu_cores > 1:
|
||||
global POOL
|
||||
POOL = mp.Pool(roop.globals.cpu_cores)
|
||||
process_video_multi_cores(args.source_img, args.frame_paths)
|
||||
update_status('Creating video with 30 fps...')
|
||||
create_video(roop.globals.target_path, 30)
|
||||
if roop.globals.keep_audio:
|
||||
if roop.globals.keep_fps:
|
||||
update_status('Restoring audio...')
|
||||
else:
|
||||
update_status('Restoring audio might cause issues as fps are not kept...')
|
||||
restore_audio(roop.globals.target_path, roop.globals.output_path)
|
||||
else:
|
||||
process_video(args.source_img, args.frame_paths)
|
||||
status("creating video...")
|
||||
create_video(video_name, exact_fps, output_dir)
|
||||
status("adding audio...")
|
||||
add_audio(output_dir, target_path, video_name_full, args.keep_frames, args.output_file)
|
||||
save_path = args.output_file if args.output_file else output_dir + "/" + video_name + ".mp4"
|
||||
print("\n\nVideo saved as:", save_path, "\n\n")
|
||||
status("swap successful!")
|
||||
move_temp(roop.globals.target_path, roop.globals.output_path)
|
||||
clean_temp(roop.globals.target_path)
|
||||
if is_video(roop.globals.target_path):
|
||||
update_status('Swapping to video succeed!')
|
||||
else:
|
||||
update_status('Swapping to video failed!')
|
||||
|
||||
|
||||
def select_face_handler(path: str):
|
||||
args.source_img = path
|
||||
def destroy() -> None:
|
||||
if roop.globals.target_path:
|
||||
clean_temp(roop.globals.target_path)
|
||||
quit()
|
||||
|
||||
|
||||
def select_target_handler(path: str):
|
||||
args.target_path = path
|
||||
return preview_video(args.target_path)
|
||||
|
||||
|
||||
def toggle_all_faces_handler(value: int):
|
||||
roop.globals.all_faces = True if value == 1 else False
|
||||
|
||||
|
||||
def toggle_fps_limit_handler(value: int):
|
||||
args.keep_fps = int(value != 1)
|
||||
|
||||
|
||||
def toggle_keep_frames_handler(value: int):
|
||||
args.keep_frames = value
|
||||
|
||||
|
||||
def save_file_handler(path: str):
|
||||
args.output_file = path
|
||||
|
||||
|
||||
def create_test_preview(frame_number):
|
||||
return process_faces(
|
||||
get_face_single(cv2.imread(args.source_img)),
|
||||
get_video_frame(args.target_path, frame_number)
|
||||
)
|
||||
|
||||
|
||||
def run():
|
||||
global all_faces, keep_frames, limit_fps
|
||||
|
||||
def run() -> None:
|
||||
parse_args()
|
||||
pre_check()
|
||||
limit_resources()
|
||||
if args.source_img:
|
||||
args.cli_mode = True
|
||||
if roop.globals.headless:
|
||||
start()
|
||||
quit()
|
||||
|
||||
window = ui.init(
|
||||
{
|
||||
'all_faces': roop.globals.all_faces,
|
||||
'keep_fps': args.keep_fps,
|
||||
'keep_frames': args.keep_frames
|
||||
},
|
||||
select_face_handler,
|
||||
select_target_handler,
|
||||
toggle_all_faces_handler,
|
||||
toggle_fps_limit_handler,
|
||||
toggle_keep_frames_handler,
|
||||
save_file_handler,
|
||||
start,
|
||||
get_video_frame,
|
||||
create_test_preview
|
||||
)
|
||||
|
||||
window.mainloop()
|
||||
else:
|
||||
window = ui.init(start, destroy)
|
||||
window.mainloop()
|
||||
|
||||
@ -1,10 +1,20 @@
|
||||
import onnxruntime
|
||||
|
||||
all_faces = None
|
||||
log_level = 'error'
|
||||
source_path = None
|
||||
target_path = None
|
||||
output_path = None
|
||||
keep_fps = None
|
||||
keep_audio = None
|
||||
keep_frames = None
|
||||
many_faces = None
|
||||
video_encoder = None
|
||||
video_quality = None
|
||||
max_memory = None
|
||||
cpu_cores = None
|
||||
gpu_threads = None
|
||||
gpu_vendor = None
|
||||
headless = None
|
||||
log_level = 'error'
|
||||
providers = onnxruntime.get_available_providers()
|
||||
|
||||
if 'TensorrtExecutionProvider' in providers:
|
||||
|
||||
@ -1,17 +1,18 @@
|
||||
|
||||
import os
|
||||
from typing import Any
|
||||
|
||||
from tqdm import tqdm
|
||||
import cv2
|
||||
import insightface
|
||||
import threading
|
||||
import roop.globals
|
||||
from roop.analyser import get_face_single, get_face_many
|
||||
from roop.analyser import get_one_face, get_many_faces
|
||||
|
||||
FACE_SWAPPER = None
|
||||
THREAD_LOCK = threading.Lock()
|
||||
|
||||
|
||||
def get_face_swapper():
|
||||
def get_face_swapper() -> None:
|
||||
global FACE_SWAPPER
|
||||
with THREAD_LOCK:
|
||||
if FACE_SWAPPER is None:
|
||||
@ -20,27 +21,27 @@ def get_face_swapper():
|
||||
return FACE_SWAPPER
|
||||
|
||||
|
||||
def swap_face_in_frame(source_face, target_face, frame):
|
||||
def swap_face_in_frame(source_face: Any, target_face: Any, frame: Any) -> None:
|
||||
if target_face:
|
||||
return get_face_swapper().get(frame, target_face, source_face, paste_back=True)
|
||||
return frame
|
||||
|
||||
|
||||
def process_faces(source_face, target_frame):
|
||||
if roop.globals.all_faces:
|
||||
many_faces = get_face_many(target_frame)
|
||||
def process_faces(source_face: Any, target_frame: Any) -> Any:
|
||||
if roop.globals.many_faces:
|
||||
many_faces = get_many_faces(target_frame)
|
||||
if many_faces:
|
||||
for face in many_faces:
|
||||
target_frame = swap_face_in_frame(source_face, face, target_frame)
|
||||
else:
|
||||
face = get_face_single(target_frame)
|
||||
face = get_one_face(target_frame)
|
||||
if face:
|
||||
target_frame = swap_face_in_frame(source_face, face, target_frame)
|
||||
return target_frame
|
||||
|
||||
|
||||
def process_frames(source_img, frame_paths, progress=None):
|
||||
source_face = get_face_single(cv2.imread(source_img))
|
||||
def process_frames(source_path: str, frame_paths: [str], progress=None) -> None:
|
||||
source_face = get_one_face(cv2.imread(source_path))
|
||||
for frame_path in frame_paths:
|
||||
frame = cv2.imread(frame_path)
|
||||
try:
|
||||
@ -53,16 +54,14 @@ def process_frames(source_img, frame_paths, progress=None):
|
||||
progress.update(1)
|
||||
|
||||
|
||||
def multi_process_frame(source_img, frame_paths, progress):
|
||||
def multi_process_frame(source_img, frame_paths, progress) -> None:
|
||||
threads = []
|
||||
num_threads = roop.globals.gpu_threads
|
||||
num_frames_per_thread = len(frame_paths) // num_threads
|
||||
remaining_frames = len(frame_paths) % num_threads
|
||||
|
||||
# create thread and launch
|
||||
frames_per_thread = len(frame_paths) // roop.globals.gpu_threads
|
||||
remaining_frames = len(frame_paths) % roop.globals.gpu_threads
|
||||
start_index = 0
|
||||
for _ in range(num_threads):
|
||||
end_index = start_index + num_frames_per_thread
|
||||
# create threads by frames
|
||||
for _ in range(roop.globals.gpu_threads):
|
||||
end_index = start_index + frames_per_thread
|
||||
if remaining_frames > 0:
|
||||
end_index += 1
|
||||
remaining_frames -= 1
|
||||
@ -71,26 +70,26 @@ def multi_process_frame(source_img, frame_paths, progress):
|
||||
threads.append(thread)
|
||||
thread.start()
|
||||
start_index = end_index
|
||||
|
||||
# threading
|
||||
# join threads
|
||||
for thread in threads:
|
||||
thread.join()
|
||||
|
||||
|
||||
def process_img(source_img, target_path, output_file):
|
||||
def process_image(source_path: str, target_path: str, output_file) -> None:
|
||||
frame = cv2.imread(target_path)
|
||||
face = get_face_single(frame)
|
||||
source_face = get_face_single(cv2.imread(source_img))
|
||||
result = get_face_swapper().get(frame, face, source_face, paste_back=True)
|
||||
target_frame = get_one_face(frame)
|
||||
source_face = get_one_face(cv2.imread(source_path))
|
||||
result = get_face_swapper().get(frame, target_frame, source_face, paste_back=True)
|
||||
cv2.imwrite(output_file, result)
|
||||
print("\n\nImage saved as:", output_file, "\n\n")
|
||||
|
||||
|
||||
def process_video(source_img, frame_paths):
|
||||
do_multi = roop.globals.gpu_vendor is not None and roop.globals.gpu_threads > 1
|
||||
def process_video(source_path: str, frame_paths: [str], mode: str) -> None:
|
||||
progress_bar_format = '{l_bar}{bar}| {n_fmt}/{total_fmt} [{elapsed}<{remaining}, {rate_fmt}{postfix}]'
|
||||
with tqdm(total=len(frame_paths), desc="Processing", unit="frame", dynamic_ncols=True, bar_format=progress_bar_format) as progress:
|
||||
if do_multi:
|
||||
multi_process_frame(source_img, frame_paths, progress)
|
||||
else:
|
||||
process_frames(source_img, frame_paths, progress)
|
||||
total = len(frame_paths)
|
||||
with tqdm(total=total, desc='Processing', unit='frame', dynamic_ncols=True, bar_format=progress_bar_format) as progress:
|
||||
if mode == 'cpu':
|
||||
progress.set_postfix({'mode': mode, 'cores': roop.globals.cpu_cores, 'memory': roop.globals.max_memory})
|
||||
process_frames(source_path, frame_paths, progress)
|
||||
elif mode == 'gpu':
|
||||
progress.set_postfix({'mode': mode, 'threads': roop.globals.gpu_threads, 'memory': roop.globals.max_memory})
|
||||
multi_process_frame(source_path, frame_paths, progress)
|
||||
|
||||
481
roop/ui.py
481
roop/ui.py
@ -1,315 +1,246 @@
|
||||
import os
|
||||
import tkinter as tk
|
||||
from typing import Any, Callable, Tuple
|
||||
from PIL import Image, ImageTk
|
||||
import webbrowser
|
||||
from tkinter import filedialog
|
||||
from tkinter.filedialog import asksaveasfilename
|
||||
import threading
|
||||
from typing import Callable, Any, Tuple
|
||||
|
||||
from roop.utils import is_img
|
||||
import cv2
|
||||
from PIL import Image, ImageTk, ImageOps
|
||||
|
||||
max_preview_size = 800
|
||||
import roop.globals
|
||||
from roop.analyser import get_one_face
|
||||
from roop.capturer import get_video_frame
|
||||
from roop.swapper import process_faces
|
||||
from roop.utilities import is_image, is_video
|
||||
|
||||
PRIMARY_COLOR = '#2d3436'
|
||||
SECONDARY_COLOR = '#74b9ff'
|
||||
TERTIARY_COLOR = '#f1c40f'
|
||||
ACCENT_COLOR = '#2ecc71'
|
||||
WINDOW_HEIGHT = 700
|
||||
WINDOW_WIDTH = 600
|
||||
PREVIEW_MAX_HEIGHT = 700
|
||||
PREVIEW_MAX_WIDTH = 1200
|
||||
RECENT_DIRECTORY_SOURCE = None
|
||||
RECENT_DIRECTORY_TARGET = None
|
||||
RECENT_DIRECTORY_OUTPUT = None
|
||||
|
||||
|
||||
def create_preview(parent):
|
||||
global preview_image_frame, preview_frame_slider, test_button
|
||||
def init(start: Callable, destroy: Callable) -> tk.Tk:
|
||||
global ROOT, PREVIEW
|
||||
|
||||
preview_window = tk.Toplevel(parent)
|
||||
# Override close button
|
||||
preview_window.protocol("WM_DELETE_WINDOW", hide_preview)
|
||||
preview_window.withdraw()
|
||||
preview_window.title("Preview")
|
||||
preview_window.configure(bg="red")
|
||||
preview_window.resizable(width=False, height=False)
|
||||
ROOT = create_root(start, destroy)
|
||||
PREVIEW = create_preview(ROOT)
|
||||
|
||||
frame = tk.Frame(preview_window, background="#2d3436")
|
||||
frame.pack(fill='both', side='left', expand='True')
|
||||
|
||||
# Preview image
|
||||
preview_image_frame = tk.Label(frame)
|
||||
preview_image_frame.pack(side='top')
|
||||
|
||||
# Bottom frame
|
||||
buttons_frame = tk.Frame(frame, background="#2d3436")
|
||||
buttons_frame.pack(fill='both', side='bottom')
|
||||
|
||||
current_frame = tk.IntVar()
|
||||
preview_frame_slider = tk.Scale(
|
||||
buttons_frame,
|
||||
from_=0,
|
||||
to=0,
|
||||
orient='horizontal',
|
||||
variable=current_frame
|
||||
)
|
||||
preview_frame_slider.pack(fill='both', side='left', expand='True')
|
||||
|
||||
test_button = tk.Button(buttons_frame, text="Test", bg="#f1c40f", relief="flat", width=15, borderwidth=0, highlightthickness=0)
|
||||
test_button.pack(side='right', fill='y')
|
||||
return preview_window
|
||||
return ROOT
|
||||
|
||||
|
||||
def show_preview():
|
||||
preview.deiconify()
|
||||
preview_visible.set(True)
|
||||
def create_root(start: Callable, destroy: Callable) -> tk.Tk:
|
||||
global source_label, target_label, status_label
|
||||
|
||||
root = tk.Tk()
|
||||
root.minsize(WINDOW_WIDTH, WINDOW_HEIGHT)
|
||||
root.title('roop')
|
||||
root.configure(bg=PRIMARY_COLOR)
|
||||
root.option_add('*Font', ('Arial', 11))
|
||||
root.protocol('WM_DELETE_WINDOW', lambda: destroy())
|
||||
|
||||
source_label = tk.Label(root, bg=PRIMARY_COLOR)
|
||||
source_label.place(relx=0.1, rely=0.1, relwidth=0.3, relheight=0.25)
|
||||
|
||||
target_label = tk.Label(root, bg=PRIMARY_COLOR)
|
||||
target_label.place(relx=0.6, rely=0.1, relwidth=0.3, relheight=0.25)
|
||||
|
||||
source_button = create_primary_button(root, 'Select a face', lambda: select_source_path())
|
||||
source_button.place(relx=0.1, rely=0.4, relwidth=0.3, relheight=0.1)
|
||||
|
||||
target_button = create_primary_button(root, 'Select a target', lambda: select_target_path())
|
||||
target_button.place(relx=0.6, rely=0.4, relwidth=0.3, relheight=0.1)
|
||||
|
||||
keep_fps_value = tk.BooleanVar(value=roop.globals.keep_fps)
|
||||
keep_fps_checkbox = create_checkbox(root, 'Limit to 30 fps', keep_fps_value, lambda: setattr(roop.globals, 'keep_fps', not roop.globals.keep_fps))
|
||||
keep_fps_checkbox.place(relx=0.1, rely=0.6)
|
||||
|
||||
keep_frames_value = tk.BooleanVar(value=roop.globals.keep_frames)
|
||||
keep_frames_checkbox = create_checkbox(root, 'Keep frames dir', keep_frames_value, lambda: setattr(roop.globals, 'keep_frames', keep_frames_value.get()))
|
||||
keep_frames_checkbox.place(relx=0.1, rely=0.65)
|
||||
|
||||
keep_audio_value = tk.BooleanVar(value=roop.globals.keep_audio)
|
||||
keep_audio_checkbox = create_checkbox(root, 'Keep original audio', keep_audio_value, lambda: setattr(roop.globals, 'keep_audio', keep_audio_value.get()))
|
||||
keep_audio_checkbox.place(relx=0.6, rely=0.6)
|
||||
|
||||
many_faces_value = tk.BooleanVar(value=roop.globals.many_faces)
|
||||
many_faces_checkbox = create_checkbox(root, 'Replace all faces', many_faces_value, lambda: setattr(roop.globals, 'many_faces', many_faces_value.get()))
|
||||
many_faces_checkbox.place(relx=0.6, rely=0.65)
|
||||
|
||||
start_button = create_secondary_button(root, 'Start', lambda: select_output_path(start))
|
||||
start_button.place(relx=0.15, rely=0.75, relwidth=0.2, relheight=0.05)
|
||||
|
||||
stop_button = create_secondary_button(root, 'Destroy', lambda: destroy())
|
||||
stop_button.place(relx=0.4, rely=0.75, relwidth=0.2, relheight=0.05)
|
||||
|
||||
preview_button = create_secondary_button(root, 'Preview', lambda: toggle_preview())
|
||||
preview_button.place(relx=0.65, rely=0.75, relwidth=0.2, relheight=0.05)
|
||||
|
||||
status_label = tk.Label(root, justify='center', text='Status: None', fg=ACCENT_COLOR, bg=PRIMARY_COLOR)
|
||||
status_label.place(relx=0.1, rely=0.9)
|
||||
|
||||
return root
|
||||
|
||||
|
||||
def hide_preview():
|
||||
def create_preview(parent) -> tk.Toplevel:
|
||||
global preview_label, preview_scale
|
||||
|
||||
preview = tk.Toplevel(parent)
|
||||
preview.withdraw()
|
||||
preview_visible.set(False)
|
||||
preview.title('Preview')
|
||||
preview.configure(bg=PRIMARY_COLOR)
|
||||
preview.option_add('*Font', ('Arial', 11))
|
||||
preview.protocol('WM_DELETE_WINDOW', lambda: toggle_preview())
|
||||
preview.resizable(width=False, height=False)
|
||||
|
||||
preview_label = tk.Label(preview, bg=PRIMARY_COLOR)
|
||||
preview_label.pack(fill='both', expand=True)
|
||||
|
||||
preview_scale = tk.Scale(preview, orient='horizontal', command=lambda frame_value: update_preview(int(frame_value)))
|
||||
preview_scale.pack(fill='x')
|
||||
|
||||
return preview
|
||||
|
||||
|
||||
def set_preview_handler(test_handler):
|
||||
test_button.config(command = test_handler)
|
||||
|
||||
|
||||
def init_slider(frames_count, change_handler):
|
||||
preview_frame_slider.configure(to=frames_count, command=lambda value: change_handler(preview_frame_slider.get()))
|
||||
preview_frame_slider.set(0)
|
||||
|
||||
|
||||
def update_preview(frame):
|
||||
img = Image.fromarray(frame)
|
||||
width, height = img.size
|
||||
aspect_ratio = 1
|
||||
if width > height:
|
||||
aspect_ratio = max_preview_size / width
|
||||
else:
|
||||
aspect_ratio = max_preview_size / height
|
||||
img = img.resize(
|
||||
(
|
||||
int(width * aspect_ratio),
|
||||
int(height * aspect_ratio)
|
||||
),
|
||||
Image.ANTIALIAS
|
||||
)
|
||||
photo_img = ImageTk.PhotoImage(img)
|
||||
preview_image_frame.configure(image=photo_img)
|
||||
preview_image_frame.image = photo_img
|
||||
|
||||
|
||||
def select_face(select_face_handler: Callable[[str], None]):
|
||||
if select_face_handler:
|
||||
path = filedialog.askopenfilename(title="Select a face")
|
||||
preview_face(path)
|
||||
return select_face_handler(path)
|
||||
return None
|
||||
|
||||
|
||||
def update_slider_handler(get_video_frame, video_path):
|
||||
return lambda frame_number: update_preview(get_video_frame(video_path, frame_number))
|
||||
|
||||
|
||||
def test_preview(create_test_preview):
|
||||
frame = create_test_preview(preview_frame_slider.get())
|
||||
update_preview(frame)
|
||||
|
||||
|
||||
def update_slider(get_video_frame, create_test_preview, video_path, frames_amount):
|
||||
init_slider(frames_amount, update_slider_handler(get_video_frame, video_path))
|
||||
set_preview_handler(lambda: preview_thread(lambda: test_preview(create_test_preview)))
|
||||
|
||||
|
||||
def analyze_target(select_target_handler: Callable[[str], Tuple[int, Any]], target_path: tk.StringVar, frames_amount: tk.IntVar):
|
||||
path = filedialog.askopenfilename(title="Select a target")
|
||||
target_path.set(path)
|
||||
amount, frame = select_target_handler(path)
|
||||
frames_amount.set(amount)
|
||||
preview_target(frame)
|
||||
update_preview(frame)
|
||||
|
||||
|
||||
def select_target(select_target_handler: Callable[[str], Tuple[int, Any]], target_path: tk.StringVar, frames_amount: tk.IntVar):
|
||||
if select_target_handler:
|
||||
analyze_target(select_target_handler, target_path, frames_amount)
|
||||
|
||||
|
||||
def save_file(save_file_handler: Callable[[str], None], target_path: str):
|
||||
filename, ext = 'output.mp4', '.mp4'
|
||||
|
||||
if is_img(target_path):
|
||||
filename, ext = 'output.png', '.png'
|
||||
|
||||
if save_file_handler:
|
||||
return save_file_handler(asksaveasfilename(initialfile=filename, defaultextension=ext, filetypes=[("All Files","*.*"),("Videos","*.mp4")]))
|
||||
return None
|
||||
|
||||
|
||||
def toggle_all_faces(toggle_all_faces_handler: Callable[[int], None], variable: tk.IntVar):
|
||||
if toggle_all_faces_handler:
|
||||
return lambda: toggle_all_faces_handler(variable.get())
|
||||
return None
|
||||
|
||||
|
||||
def toggle_fps_limit(toggle_all_faces_handler: Callable[[int], None], variable: tk.IntVar):
|
||||
if toggle_all_faces_handler:
|
||||
return lambda: toggle_all_faces_handler(variable.get())
|
||||
return None
|
||||
|
||||
|
||||
def toggle_keep_frames(toggle_keep_frames_handler: Callable[[int], None], variable: tk.IntVar):
|
||||
if toggle_keep_frames_handler:
|
||||
return lambda: toggle_keep_frames_handler(variable.get())
|
||||
return None
|
||||
|
||||
|
||||
def create_button(parent, text, command):
|
||||
def create_primary_button(parent: Any, text: str, command: Callable) -> tk.Button:
|
||||
return tk.Button(
|
||||
parent,
|
||||
text=text,
|
||||
parent,
|
||||
text=text,
|
||||
command=command,
|
||||
bg="#f1c40f",
|
||||
relief="flat",
|
||||
borderwidth=0,
|
||||
bg=PRIMARY_COLOR,
|
||||
fg=SECONDARY_COLOR,
|
||||
relief='flat',
|
||||
highlightthickness=4,
|
||||
highlightbackground=SECONDARY_COLOR,
|
||||
activebackground=SECONDARY_COLOR,
|
||||
borderwidth=4
|
||||
)
|
||||
|
||||
|
||||
def create_secondary_button(parent: Any, text: str, command: Callable) -> tk.Button:
|
||||
return tk.Button(
|
||||
parent,
|
||||
text=text,
|
||||
command=command,
|
||||
bg=TERTIARY_COLOR,
|
||||
relief='flat',
|
||||
borderwidth=0,
|
||||
highlightthickness=0
|
||||
)
|
||||
|
||||
|
||||
def create_background_button(parent, text, command):
|
||||
button = create_button(parent, text, command)
|
||||
button.configure(
|
||||
bg="#2d3436",
|
||||
fg="#74b9ff",
|
||||
highlightthickness=4,
|
||||
highlightbackground="#74b9ff",
|
||||
activebackground="#74b9ff",
|
||||
borderwidth=4
|
||||
)
|
||||
return button
|
||||
|
||||
|
||||
def create_check(parent, text, variable, command):
|
||||
def create_checkbox(parent: Any, text: str, variable: tk.BooleanVar, command: Callable) -> tk.Checkbutton:
|
||||
return tk.Checkbutton(
|
||||
parent,
|
||||
anchor="w",
|
||||
relief="groove",
|
||||
activebackground="#2d3436",
|
||||
activeforeground="#74b9ff",
|
||||
selectcolor="black",
|
||||
text=text,
|
||||
fg="#dfe6e9",
|
||||
borderwidth=0,
|
||||
highlightthickness=0,
|
||||
bg="#2d3436",
|
||||
variable=variable,
|
||||
command=command
|
||||
parent,
|
||||
text=text,
|
||||
variable=variable,
|
||||
command=command,
|
||||
relief='flat',
|
||||
bg=PRIMARY_COLOR,
|
||||
activebackground=PRIMARY_COLOR,
|
||||
activeforeground=SECONDARY_COLOR,
|
||||
selectcolor=PRIMARY_COLOR,
|
||||
fg=SECONDARY_COLOR,
|
||||
borderwidth=0,
|
||||
highlightthickness=0
|
||||
)
|
||||
|
||||
|
||||
def preview_thread(thread_function):
|
||||
threading.Thread(target=thread_function).start()
|
||||
def update_status(text: str) -> None:
|
||||
status_label['text'] = text
|
||||
ROOT.update()
|
||||
|
||||
|
||||
def open_preview_window(get_video_frame, target_path):
|
||||
if preview_visible.get():
|
||||
hide_preview()
|
||||
def select_source_path():
|
||||
global RECENT_DIRECTORY_SOURCE
|
||||
source_path = filedialog.askopenfilename(title='Select an face image', initialdir=RECENT_DIRECTORY_SOURCE)
|
||||
if is_image(source_path):
|
||||
roop.globals.source_path = source_path
|
||||
RECENT_DIRECTORY_SOURCE = os.path.dirname(roop.globals.source_path)
|
||||
image = render_image_preview(roop.globals.source_path, (200, 200))
|
||||
source_label.configure(image=image)
|
||||
source_label.image = image
|
||||
else:
|
||||
show_preview()
|
||||
if target_path:
|
||||
frame = get_video_frame(target_path)
|
||||
update_preview(frame)
|
||||
roop.globals.source_path = None
|
||||
source_label.configure(image=None)
|
||||
source_label.image = None
|
||||
|
||||
|
||||
def preview_face(path):
|
||||
img = Image.open(path)
|
||||
img = img.resize((180, 180), Image.ANTIALIAS)
|
||||
photo_img = ImageTk.PhotoImage(img)
|
||||
face_label.configure(image=photo_img)
|
||||
face_label.image = photo_img
|
||||
def select_target_path():
|
||||
global RECENT_DIRECTORY_TARGET
|
||||
target_path = filedialog.askopenfilename(title='Select an image or video target', initialdir=RECENT_DIRECTORY_TARGET)
|
||||
if is_image(target_path):
|
||||
roop.globals.target_path = target_path
|
||||
RECENT_DIRECTORY_TARGET = os.path.dirname(roop.globals.target_path)
|
||||
image = render_image_preview(roop.globals.target_path)
|
||||
target_label.configure(image=image)
|
||||
target_label.image = image
|
||||
elif is_video(target_path):
|
||||
roop.globals.target_path = target_path
|
||||
RECENT_DIRECTORY_TARGET = os.path.dirname(roop.globals.target_path)
|
||||
video_frame = render_video_preview(target_path, (200, 200))
|
||||
target_label.configure(image=video_frame)
|
||||
target_label.image = video_frame
|
||||
else:
|
||||
roop.globals.target_path = None
|
||||
target_label.configure(image=None)
|
||||
target_label.image = None
|
||||
|
||||
|
||||
def preview_target(frame):
|
||||
img = Image.fromarray(frame)
|
||||
img = img.resize((180, 180), Image.ANTIALIAS)
|
||||
photo_img = ImageTk.PhotoImage(img)
|
||||
target_label.configure(image=photo_img)
|
||||
target_label.image = photo_img
|
||||
def select_output_path(start):
|
||||
global RECENT_DIRECTORY_OUTPUT
|
||||
if is_image(roop.globals.target_path):
|
||||
output_path = filedialog.asksaveasfilename(title='Save image output', initialfile='output.png', initialdir=RECENT_DIRECTORY_OUTPUT)
|
||||
elif is_video(roop.globals.target_path):
|
||||
output_path = filedialog.asksaveasfilename(title='Save video output', initialfile='output.mp4', initialdir=RECENT_DIRECTORY_OUTPUT)
|
||||
if output_path:
|
||||
roop.globals.output_path = output_path
|
||||
RECENT_DIRECTORY_OUTPUT = os.path.dirname(roop.globals.output_path)
|
||||
start()
|
||||
|
||||
|
||||
def update_status_label(value):
|
||||
status_label["text"] = value
|
||||
window.update()
|
||||
def render_image_preview(image_path: str, dimensions: Tuple[int, int] = None) -> ImageTk.PhotoImage:
|
||||
image = Image.open(image_path)
|
||||
if dimensions:
|
||||
image = ImageOps.fit(image, dimensions, Image.LANCZOS)
|
||||
return ImageTk.PhotoImage(image)
|
||||
|
||||
|
||||
def init(
|
||||
initial_values: dict,
|
||||
select_face_handler: Callable[[str], None],
|
||||
select_target_handler: Callable[[str], Tuple[int, Any]],
|
||||
toggle_all_faces_handler: Callable[[int], None],
|
||||
toggle_fps_limit_handler: Callable[[int], None],
|
||||
toggle_keep_frames_handler: Callable[[int], None],
|
||||
save_file_handler: Callable[[str], None],
|
||||
start: Callable[[], None],
|
||||
get_video_frame: Callable[[str, int], None],
|
||||
create_test_preview: Callable[[int], Any],
|
||||
):
|
||||
global window, preview, preview_visible, face_label, target_label, status_label
|
||||
def render_video_preview(video_path: str, dimensions: Tuple[int, int] = None, frame_number: int = 1) -> ImageTk.PhotoImage:
|
||||
capture = cv2.VideoCapture(video_path)
|
||||
if frame_number:
|
||||
capture.set(cv2.CAP_PROP_POS_FRAMES, frame_number)
|
||||
has_frame, frame = capture.read()
|
||||
if has_frame:
|
||||
image = Image.fromarray(cv2.cvtColor(frame, cv2.COLOR_BGR2RGB))
|
||||
if dimensions:
|
||||
image = ImageOps.fit(image, dimensions, Image.LANCZOS)
|
||||
return ImageTk.PhotoImage(image)
|
||||
capture.release()
|
||||
cv2.destroyAllWindows()
|
||||
|
||||
window = tk.Tk()
|
||||
window.geometry("600x700")
|
||||
window.title("roop")
|
||||
window.configure(bg="#2d3436")
|
||||
window.resizable(width=False, height=False)
|
||||
|
||||
preview_visible = tk.BooleanVar(window, False)
|
||||
target_path = tk.StringVar()
|
||||
frames_amount = tk.IntVar()
|
||||
def toggle_preview() -> None:
|
||||
if PREVIEW.state() == 'normal':
|
||||
PREVIEW.withdraw()
|
||||
else:
|
||||
update_preview(1)
|
||||
PREVIEW.deiconify()
|
||||
|
||||
# Preview window
|
||||
preview = create_preview(window)
|
||||
|
||||
# Contact information
|
||||
support_link = tk.Label(window, text="Donate to project <3", fg="#fd79a8", bg="#2d3436", cursor="hand2", font=("Arial", 8))
|
||||
support_link.place(x=180,y=20,width=250,height=30)
|
||||
support_link.bind("<Button-1>", lambda e: webbrowser.open("https://github.com/sponsors/s0md3v"))
|
||||
|
||||
left_frame = tk.Frame(window)
|
||||
left_frame.place(x=60, y=100, width=180, height=180)
|
||||
face_label = tk.Label(left_frame)
|
||||
face_label.pack(fill='both', side='top', expand=True)
|
||||
|
||||
right_frame = tk.Frame(window)
|
||||
right_frame.place(x=360, y=100, width=180, height=180)
|
||||
target_label = tk.Label(right_frame)
|
||||
target_label.pack(fill='both', side='top', expand=True)
|
||||
|
||||
# Select a face button
|
||||
face_button = create_background_button(window, "Select a face", lambda: [
|
||||
select_face(select_face_handler)
|
||||
])
|
||||
face_button.place(x=60,y=320,width=180,height=80)
|
||||
|
||||
# Select a target button
|
||||
target_button = create_background_button(window, "Select a target", lambda: [
|
||||
select_target(select_target_handler, target_path, frames_amount),
|
||||
update_slider(get_video_frame, create_test_preview, target_path.get(), frames_amount.get())
|
||||
])
|
||||
target_button.place(x=360,y=320,width=180,height=80)
|
||||
|
||||
# All faces checkbox
|
||||
all_faces = tk.IntVar(None, initial_values['all_faces'])
|
||||
all_faces_checkbox = create_check(window, "Process all faces in frame", all_faces, toggle_all_faces(toggle_all_faces_handler, all_faces))
|
||||
all_faces_checkbox.place(x=60,y=500,width=240,height=31)
|
||||
|
||||
# FPS limit checkbox
|
||||
limit_fps = tk.IntVar(None, not initial_values['keep_fps'])
|
||||
fps_checkbox = create_check(window, "Limit FPS to 30", limit_fps, toggle_fps_limit(toggle_fps_limit_handler, limit_fps))
|
||||
fps_checkbox.place(x=60,y=475,width=240,height=31)
|
||||
|
||||
# Keep frames checkbox
|
||||
keep_frames = tk.IntVar(None, initial_values['keep_frames'])
|
||||
frames_checkbox = create_check(window, "Keep frames dir", keep_frames, toggle_keep_frames(toggle_keep_frames_handler, keep_frames))
|
||||
frames_checkbox.place(x=60,y=450,width=240,height=31)
|
||||
|
||||
# Start button
|
||||
start_button = create_button(window, "Start", lambda: [save_file(save_file_handler, target_path.get()), preview_thread(lambda: start(update_preview))])
|
||||
start_button.place(x=170,y=560,width=120,height=49)
|
||||
|
||||
# Preview button
|
||||
preview_button = create_button(window, "Preview", lambda: open_preview_window(get_video_frame, target_path.get()))
|
||||
preview_button.place(x=310,y=560,width=120,height=49)
|
||||
|
||||
# Status label
|
||||
status_label = tk.Label(window, width=580, justify="center", text="Status: waiting for input...", fg="#2ecc71", bg="#2d3436")
|
||||
status_label.place(x=10,y=640,width=580,height=30)
|
||||
|
||||
return window
|
||||
def update_preview(frame_number: int) -> None:
|
||||
if roop.globals.source_path and roop.globals.target_path and frame_number:
|
||||
video_frame = process_faces(
|
||||
get_one_face(cv2.imread(roop.globals.source_path)),
|
||||
get_video_frame(roop.globals.target_path, frame_number)
|
||||
)
|
||||
image = Image.fromarray(video_frame)
|
||||
image = ImageOps.contain(image, (PREVIEW_MAX_WIDTH, PREVIEW_MAX_HEIGHT), Image.LANCZOS)
|
||||
image = ImageTk.PhotoImage(image)
|
||||
preview_label.configure(image=image)
|
||||
preview_label.image = image
|
||||
|
||||
114
roop/utilities.py
Normal file
114
roop/utilities.py
Normal file
@ -0,0 +1,114 @@
|
||||
import glob
|
||||
import os
|
||||
import shutil
|
||||
import subprocess
|
||||
from pathlib import Path
|
||||
from typing import List
|
||||
import cv2
|
||||
from PIL import Image
|
||||
|
||||
import roop.globals
|
||||
|
||||
TEMP_FILE = 'temp.mp4'
|
||||
TEMP_DIRECTORY = 'temp'
|
||||
|
||||
|
||||
def run_ffmpeg(args: List) -> None:
|
||||
commands = ['ffmpeg', '-hide_banner', '-hwaccel', 'auto', '-loglevel', roop.globals.log_level]
|
||||
commands.extend(args)
|
||||
try:
|
||||
subprocess.check_output(commands, stderr=subprocess.STDOUT)
|
||||
except Exception:
|
||||
pass
|
||||
|
||||
|
||||
def detect_fps(target_path: str) -> int:
|
||||
command = ['ffprobe', '-v', 'error', '-select_streams', 'v:0', '-show_entries', 'stream=r_frame_rate', '-of', 'default=noprint_wrappers=1:nokey=1', target_path]
|
||||
output = subprocess.check_output(command).decode().strip()
|
||||
try:
|
||||
return int(eval(output))
|
||||
except Exception:
|
||||
pass
|
||||
return 30
|
||||
|
||||
|
||||
def extract_frames(target_path: str) -> None:
|
||||
temp_directory_path = get_temp_directory_path(target_path)
|
||||
run_ffmpeg(['-i', target_path, os.path.join(temp_directory_path, '%04d.png')])
|
||||
|
||||
|
||||
def create_video(target_path: str, fps: int) -> None:
|
||||
temp_directory_path = get_temp_directory_path(target_path)
|
||||
run_ffmpeg(['-i', os.path.join(temp_directory_path, '%04d.png'), '-framerate', str(fps), '-c:v', roop.globals.video_encoder, '-crf', str(roop.globals.video_quality), '-pix_fmt', 'yuv420p', '-y', get_temp_file_path(target_path)])
|
||||
|
||||
|
||||
def restore_audio(target_path: str, output_path: str) -> None:
|
||||
temp_file_path = get_temp_file_path(target_path)
|
||||
run_ffmpeg(['-i', temp_file_path, '-i', target_path, '-c:v', 'copy', '-map', '0:v:0', '-map', '1:a:0', '-y', output_path])
|
||||
if not os.path.isfile(output_path):
|
||||
move_temp(target_path, output_path)
|
||||
|
||||
|
||||
def get_temp_frames_paths(target_path: str) -> List:
|
||||
temp_directory_path = get_temp_directory_path(target_path)
|
||||
return glob.glob(os.path.join(temp_directory_path, '*.png'))
|
||||
|
||||
|
||||
def get_temp_directory_path(target_path: str) -> str:
|
||||
filename, _ = os.path.splitext(os.path.basename(target_path))
|
||||
target_name = os.path.dirname(target_path)
|
||||
return os.path.join(target_name, TEMP_DIRECTORY, filename)
|
||||
|
||||
|
||||
def get_temp_file_path(target_path: str) -> str:
|
||||
temp_directory_path = get_temp_directory_path(target_path)
|
||||
return os.path.join(temp_directory_path, TEMP_FILE)
|
||||
|
||||
|
||||
def create_temp(target_path: str) -> None:
|
||||
temp_directory_path = get_temp_directory_path(target_path)
|
||||
Path(temp_directory_path).mkdir(parents=True, exist_ok=True)
|
||||
|
||||
|
||||
def move_temp(target_path: str, output_path: str) -> None:
|
||||
temp_file_path = get_temp_file_path(target_path)
|
||||
if os.path.isfile(temp_file_path):
|
||||
shutil.move(temp_file_path, output_path)
|
||||
|
||||
|
||||
def clean_temp(target_path: str) -> None:
|
||||
temp_directory_path = get_temp_directory_path(target_path)
|
||||
parent_directory_path = os.path.dirname(temp_directory_path)
|
||||
parent_directory_name = os.path.basename(parent_directory_path)
|
||||
if not roop.globals.keep_frames and os.path.isdir(temp_directory_path):
|
||||
shutil.rmtree(temp_directory_path)
|
||||
if not os.listdir(parent_directory_path) and parent_directory_name == TEMP_DIRECTORY:
|
||||
os.rmdir(parent_directory_path)
|
||||
|
||||
|
||||
def has_image_extention(image_path: str) -> bool:
|
||||
return image_path.lower().endswith(('png', 'jpg', 'jpeg'))
|
||||
|
||||
|
||||
def is_image(image_path: str) -> bool:
|
||||
if image_path and os.path.isfile(image_path):
|
||||
try:
|
||||
image = Image.open(image_path)
|
||||
image.verify()
|
||||
return True
|
||||
except Exception:
|
||||
pass
|
||||
return False
|
||||
|
||||
|
||||
def is_video(video_path: str) -> bool:
|
||||
if video_path and os.path.isfile(video_path):
|
||||
try:
|
||||
capture = cv2.VideoCapture(video_path)
|
||||
if capture.isOpened():
|
||||
is_video, _ = capture.read()
|
||||
capture.release()
|
||||
return is_video
|
||||
except Exception:
|
||||
pass
|
||||
return False
|
||||
@ -1,72 +0,0 @@
|
||||
import os
|
||||
import shutil
|
||||
import roop.globals
|
||||
|
||||
sep = "/"
|
||||
if os.name == "nt":
|
||||
sep = "\\"
|
||||
|
||||
|
||||
def path(string):
|
||||
if sep == "\\":
|
||||
return string.replace("/", "\\")
|
||||
return string
|
||||
|
||||
|
||||
def run_command(command, mode="silent"):
|
||||
if mode == "debug":
|
||||
return os.system(command)
|
||||
return os.popen(command).read()
|
||||
|
||||
|
||||
def detect_fps(input_path):
|
||||
input_path = path(input_path)
|
||||
output = os.popen(f'ffprobe -v error -select_streams v -of default=noprint_wrappers=1:nokey=1 -show_entries stream=r_frame_rate "{input_path}"').read()
|
||||
if "/" in output:
|
||||
try:
|
||||
return int(output.split("/")[0]) // int(output.split("/")[1].strip()), output.strip()
|
||||
except:
|
||||
pass
|
||||
return 30, 30
|
||||
|
||||
|
||||
def run_ffmpeg(args):
|
||||
log_level = f'-loglevel {roop.globals.log_level}'
|
||||
run_command(f'ffmpeg {log_level} {args}')
|
||||
|
||||
|
||||
def set_fps(input_path, output_path, fps):
|
||||
input_path, output_path = path(input_path), path(output_path)
|
||||
run_ffmpeg(f'-i "{input_path}" -filter:v fps=fps={fps} "{output_path}"')
|
||||
|
||||
|
||||
def create_video(video_name, fps, output_dir):
|
||||
hwaccel_option = '-hwaccel cuda' if roop.globals.gpu_vendor == 'nvidia' else ''
|
||||
output_dir = path(output_dir)
|
||||
run_ffmpeg(f'{hwaccel_option} -framerate "{fps}" -i "{output_dir}{sep}%04d.png" -c:v libx264 -crf 7 -pix_fmt yuv420p -y "{output_dir}{sep}output.mp4"')
|
||||
|
||||
|
||||
def extract_frames(input_path, output_dir):
|
||||
hwaccel_option = '-hwaccel cuda' if roop.globals.gpu_vendor == 'nvidia' else ''
|
||||
input_path, output_dir = path(input_path), path(output_dir)
|
||||
run_ffmpeg(f' {hwaccel_option} -i "{input_path}" "{output_dir}{sep}%04d.png"')
|
||||
|
||||
|
||||
def add_audio(output_dir, target_path, video, keep_frames, output_file):
|
||||
video_name = os.path.splitext(video)[0]
|
||||
save_to = output_file if output_file else output_dir + "/swapped-" + video_name + ".mp4"
|
||||
save_to_ff, output_dir_ff = path(save_to), path(output_dir)
|
||||
run_ffmpeg(f'-i "{output_dir_ff}{sep}output.mp4" -i "{output_dir_ff}{sep}{video}" -c:v copy -map 0:v:0 -map 1:a:0 -y "{save_to_ff}"')
|
||||
if not os.path.isfile(save_to):
|
||||
shutil.move(output_dir + "/output.mp4", save_to)
|
||||
if not keep_frames:
|
||||
shutil.rmtree(output_dir)
|
||||
|
||||
|
||||
def is_img(path):
|
||||
return path.lower().endswith(("png", "jpg", "jpeg", "bmp"))
|
||||
|
||||
|
||||
def rreplace(s, old, new, occurrence):
|
||||
li = s.rsplit(old, occurrence)
|
||||
return new.join(li)
|
||||
Loading…
x
Reference in New Issue
Block a user