Files
facefusion/facefusion/utilities.py
T
Henry Ruhs 95bac6668c Next (#122)
* Clear VRAM of face analyser on post process

* Mark as NEXT

* Reduce tensorflow memory to 512 MB

* Cosmetics on installer

* Add is_download_done to pre_process() hook to prevent errors

* Use latest onnxruntime

* Testing for download methods, Make get_download_size more robust

* Testing for download methods

* Introduce --skip-download argument

* Catch exception causes by a firewall

* Looks stable to me
2023-09-22 10:28:38 +02:00

240 lines
9.5 KiB
Python

from typing import List, Optional
from functools import lru_cache
from pathlib import Path
from tqdm import tqdm
import glob
import mimetypes
import os
import platform
import shutil
import ssl
import subprocess
import tempfile
import urllib
import onnxruntime
import facefusion.globals
from facefusion import wording
from facefusion.vision import detect_fps
TEMP_DIRECTORY_PATH = os.path.join(tempfile.gettempdir(), 'facefusion')
TEMP_OUTPUT_VIDEO_NAME = 'temp.mp4'
# monkey patch ssl
if platform.system().lower() == 'darwin':
ssl._create_default_https_context = ssl._create_unverified_context
def run_ffmpeg(args : List[str]) -> bool:
commands = [ 'ffmpeg', '-hide_banner', '-loglevel', 'error' ]
commands.extend(args)
try:
subprocess.run(commands, stderr = subprocess.PIPE, check = True)
return True
except subprocess.CalledProcessError:
return False
def open_ffmpeg(args : List[str]) -> subprocess.Popen[bytes]:
commands = [ 'ffmpeg', '-hide_banner', '-loglevel', 'error' ]
commands.extend(args)
return subprocess.Popen(commands, stdin = subprocess.PIPE)
def extract_frames(target_path : str, fps : float) -> bool:
temp_frame_compression = round(31 - (facefusion.globals.temp_frame_quality * 0.31))
trim_frame_start = facefusion.globals.trim_frame_start
trim_frame_end = facefusion.globals.trim_frame_end
temp_frames_pattern = get_temp_frames_pattern(target_path, '%04d')
commands = [ '-hwaccel', 'auto', '-i', target_path, '-q:v', str(temp_frame_compression), '-pix_fmt', 'rgb24' ]
if trim_frame_start is not None and trim_frame_end is not None:
commands.extend([ '-vf', 'trim=start_frame=' + str(trim_frame_start) + ':end_frame=' + str(trim_frame_end) + ',fps=' + str(fps) ])
elif trim_frame_start is not None:
commands.extend([ '-vf', 'trim=start_frame=' + str(trim_frame_start) + ',fps=' + str(fps) ])
elif trim_frame_end is not None:
commands.extend([ '-vf', 'trim=end_frame=' + str(trim_frame_end) + ',fps=' + str(fps) ])
else:
commands.extend([ '-vf', 'fps=' + str(fps) ])
commands.extend([ '-vsync', '0', temp_frames_pattern ])
return run_ffmpeg(commands)
def compress_image(output_path : str) -> bool:
output_image_compression = round(31 - (facefusion.globals.output_image_quality * 0.31))
commands = [ '-hwaccel', 'auto', '-i', output_path, '-q:v', str(output_image_compression), '-y', output_path ]
return run_ffmpeg(commands)
def merge_video(target_path : str, fps : float) -> bool:
temp_output_video_path = get_temp_output_video_path(target_path)
temp_frames_pattern = get_temp_frames_pattern(target_path, '%04d')
commands = [ '-hwaccel', 'auto', '-r', str(fps), '-i', temp_frames_pattern, '-c:v', facefusion.globals.output_video_encoder ]
if facefusion.globals.output_video_encoder in [ 'libx264', 'libx265' ]:
output_video_compression = round(51 - (facefusion.globals.output_video_quality * 0.5))
commands.extend([ '-crf', str(output_video_compression) ])
if facefusion.globals.output_video_encoder in [ 'libvpx-vp9' ]:
output_video_compression = round(63 - (facefusion.globals.output_video_quality * 0.5))
commands.extend([ '-crf', str(output_video_compression) ])
if facefusion.globals.output_video_encoder in [ 'h264_nvenc', 'hevc_nvenc' ]:
output_video_compression = round(51 - (facefusion.globals.output_video_quality * 0.5))
commands.extend([ '-cq', str(output_video_compression) ])
commands.extend([ '-pix_fmt', 'yuv420p', '-colorspace', 'bt709', '-y', temp_output_video_path ])
return run_ffmpeg(commands)
def restore_audio(target_path : str, output_path : str) -> bool:
fps = detect_fps(target_path)
trim_frame_start = facefusion.globals.trim_frame_start
trim_frame_end = facefusion.globals.trim_frame_end
temp_output_video_path = get_temp_output_video_path(target_path)
commands = [ '-hwaccel', 'auto', '-i', temp_output_video_path ]
if trim_frame_start is not None:
start_time = trim_frame_start / fps
commands.extend([ '-ss', str(start_time) ])
if trim_frame_end is not None:
end_time = trim_frame_end / fps
commands.extend([ '-to', str(end_time) ])
commands.extend([ '-i', target_path, '-c', 'copy', '-map', '0:v:0', '-map', '1:a:0', '-shortest', '-y', output_path ])
return run_ffmpeg(commands)
def get_temp_frame_paths(target_path : str) -> List[str]:
temp_frames_pattern = get_temp_frames_pattern(target_path, '*')
return sorted(glob.glob(temp_frames_pattern))
def get_temp_frames_pattern(target_path : str, temp_frame_prefix : str) -> str:
temp_directory_path = get_temp_directory_path(target_path)
return os.path.join(temp_directory_path, temp_frame_prefix + '.' + facefusion.globals.temp_frame_format)
def get_temp_directory_path(target_path : str) -> str:
target_name, _ = os.path.splitext(os.path.basename(target_path))
return os.path.join(TEMP_DIRECTORY_PATH, target_name)
def get_temp_output_video_path(target_path : str) -> str:
temp_directory_path = get_temp_directory_path(target_path)
return os.path.join(temp_directory_path, TEMP_OUTPUT_VIDEO_NAME)
def normalize_output_path(source_path : Optional[str], target_path : Optional[str], output_path : Optional[str]) -> Optional[str]:
if is_file(source_path) and is_file(target_path) and is_directory(output_path):
source_name, _ = os.path.splitext(os.path.basename(source_path))
target_name, target_extension = os.path.splitext(os.path.basename(target_path))
return os.path.join(output_path, source_name + '-' + target_name + target_extension)
if is_file(target_path) and output_path:
target_name, target_extension = os.path.splitext(os.path.basename(target_path))
output_name, output_extension = os.path.splitext(os.path.basename(output_path))
output_directory_path = os.path.dirname(output_path)
if is_directory(output_directory_path) and output_extension:
return os.path.join(output_directory_path, output_name + target_extension)
return None
return output_path
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_output_video_path = get_temp_output_video_path(target_path)
if is_file(temp_output_video_path):
if is_file(output_path):
os.remove(output_path)
shutil.move(temp_output_video_path, output_path)
def clear_temp(target_path : str) -> None:
temp_directory_path = get_temp_directory_path(target_path)
parent_directory_path = os.path.dirname(temp_directory_path)
if not facefusion.globals.keep_temp and is_directory(temp_directory_path):
shutil.rmtree(temp_directory_path)
if os.path.exists(parent_directory_path) and not os.listdir(parent_directory_path):
os.rmdir(parent_directory_path)
def is_file(file_path : str) -> bool:
return bool(file_path and os.path.isfile(file_path))
def is_directory(directory_path : str) -> bool:
return bool(directory_path and os.path.isdir(directory_path))
def is_image(image_path : str) -> bool:
if is_file(image_path):
mimetype, _ = mimetypes.guess_type(image_path)
return bool(mimetype and mimetype.startswith('image/'))
return False
def is_video(video_path : str) -> bool:
if is_file(video_path):
mimetype, _ = mimetypes.guess_type(video_path)
return bool(mimetype and mimetype.startswith('video/'))
return False
def conditional_download(download_directory_path : str, urls : List[str]) -> None:
for url in urls:
download_file_path = os.path.join(download_directory_path, os.path.basename(url))
total = get_download_size(url)
if is_file(download_file_path):
initial = os.path.getsize(download_file_path)
else:
initial = 0
if initial < total:
with tqdm(total = total, initial = initial, desc = wording.get('downloading'), unit = 'B', unit_scale = True, unit_divisor = 1024) as progress:
subprocess.Popen([ 'curl', '--create-dirs', '--silent', '--location', '--continue-at', '-', '--output', download_file_path, url ])
current = initial
while current < total:
if is_file(download_file_path):
current = os.path.getsize(download_file_path)
progress.update(current - progress.n)
@lru_cache(maxsize = None)
def get_download_size(url : str) -> Optional[int]:
try:
response = urllib.request.urlopen(url) # type: ignore[attr-defined]
return int(response.getheader('Content-Length'))
except (OSError, ValueError):
return None
def is_download_done(url : str, file_path : str) -> bool:
if is_file(file_path):
return get_download_size(url) == os.path.getsize(file_path)
return False
def resolve_relative_path(path : str) -> str:
return os.path.abspath(os.path.join(os.path.dirname(__file__), path))
def list_module_names(path : str) -> Optional[List[str]]:
if os.path.exists(path):
files = os.listdir(path)
return [ Path(file).stem for file in files if not Path(file).stem.startswith('__') ]
return None
def encode_execution_providers(execution_providers : List[str]) -> List[str]:
return [ execution_provider.replace('ExecutionProvider', '').lower() for execution_provider in execution_providers ]
def decode_execution_providers(execution_providers: List[str]) -> List[str]:
available_execution_providers = onnxruntime.get_available_providers()
encoded_execution_providers = encode_execution_providers(available_execution_providers)
return [ execution_provider for execution_provider, encoded_execution_provider in zip(available_execution_providers, encoded_execution_providers) if any(execution_provider in encoded_execution_provider for execution_provider in execution_providers) ]
def get_device(execution_providers : List[str]) -> str:
if 'CUDAExecutionProvider' in execution_providers:
return 'cuda'
if 'CoreMLExecutionProvider' in execution_providers:
return 'mps'
return 'cpu'