mirror of
https://github.com/facefusion/facefusion.git
synced 2026-04-28 04:15:59 +02:00
95bac6668c
* 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
240 lines
9.5 KiB
Python
240 lines
9.5 KiB
Python
from typing import List, Optional
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from functools import lru_cache
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from pathlib import Path
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from tqdm import tqdm
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import glob
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import mimetypes
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import os
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import platform
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import shutil
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import ssl
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import subprocess
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import tempfile
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import urllib
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import onnxruntime
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import facefusion.globals
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from facefusion import wording
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from facefusion.vision import detect_fps
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TEMP_DIRECTORY_PATH = os.path.join(tempfile.gettempdir(), 'facefusion')
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TEMP_OUTPUT_VIDEO_NAME = 'temp.mp4'
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# monkey patch ssl
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if platform.system().lower() == 'darwin':
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ssl._create_default_https_context = ssl._create_unverified_context
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def run_ffmpeg(args : List[str]) -> bool:
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commands = [ 'ffmpeg', '-hide_banner', '-loglevel', 'error' ]
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commands.extend(args)
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try:
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subprocess.run(commands, stderr = subprocess.PIPE, check = True)
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return True
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except subprocess.CalledProcessError:
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return False
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def open_ffmpeg(args : List[str]) -> subprocess.Popen[bytes]:
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commands = [ 'ffmpeg', '-hide_banner', '-loglevel', 'error' ]
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commands.extend(args)
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return subprocess.Popen(commands, stdin = subprocess.PIPE)
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def extract_frames(target_path : str, fps : float) -> bool:
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temp_frame_compression = round(31 - (facefusion.globals.temp_frame_quality * 0.31))
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trim_frame_start = facefusion.globals.trim_frame_start
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trim_frame_end = facefusion.globals.trim_frame_end
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temp_frames_pattern = get_temp_frames_pattern(target_path, '%04d')
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commands = [ '-hwaccel', 'auto', '-i', target_path, '-q:v', str(temp_frame_compression), '-pix_fmt', 'rgb24' ]
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if trim_frame_start is not None and trim_frame_end is not None:
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commands.extend([ '-vf', 'trim=start_frame=' + str(trim_frame_start) + ':end_frame=' + str(trim_frame_end) + ',fps=' + str(fps) ])
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elif trim_frame_start is not None:
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commands.extend([ '-vf', 'trim=start_frame=' + str(trim_frame_start) + ',fps=' + str(fps) ])
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elif trim_frame_end is not None:
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commands.extend([ '-vf', 'trim=end_frame=' + str(trim_frame_end) + ',fps=' + str(fps) ])
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else:
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commands.extend([ '-vf', 'fps=' + str(fps) ])
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commands.extend([ '-vsync', '0', temp_frames_pattern ])
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return run_ffmpeg(commands)
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def compress_image(output_path : str) -> bool:
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output_image_compression = round(31 - (facefusion.globals.output_image_quality * 0.31))
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commands = [ '-hwaccel', 'auto', '-i', output_path, '-q:v', str(output_image_compression), '-y', output_path ]
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return run_ffmpeg(commands)
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def merge_video(target_path : str, fps : float) -> bool:
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temp_output_video_path = get_temp_output_video_path(target_path)
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temp_frames_pattern = get_temp_frames_pattern(target_path, '%04d')
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commands = [ '-hwaccel', 'auto', '-r', str(fps), '-i', temp_frames_pattern, '-c:v', facefusion.globals.output_video_encoder ]
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if facefusion.globals.output_video_encoder in [ 'libx264', 'libx265' ]:
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output_video_compression = round(51 - (facefusion.globals.output_video_quality * 0.5))
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commands.extend([ '-crf', str(output_video_compression) ])
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if facefusion.globals.output_video_encoder in [ 'libvpx-vp9' ]:
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output_video_compression = round(63 - (facefusion.globals.output_video_quality * 0.5))
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commands.extend([ '-crf', str(output_video_compression) ])
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if facefusion.globals.output_video_encoder in [ 'h264_nvenc', 'hevc_nvenc' ]:
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output_video_compression = round(51 - (facefusion.globals.output_video_quality * 0.5))
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commands.extend([ '-cq', str(output_video_compression) ])
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commands.extend([ '-pix_fmt', 'yuv420p', '-colorspace', 'bt709', '-y', temp_output_video_path ])
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return run_ffmpeg(commands)
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def restore_audio(target_path : str, output_path : str) -> bool:
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fps = detect_fps(target_path)
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trim_frame_start = facefusion.globals.trim_frame_start
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trim_frame_end = facefusion.globals.trim_frame_end
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temp_output_video_path = get_temp_output_video_path(target_path)
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commands = [ '-hwaccel', 'auto', '-i', temp_output_video_path ]
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if trim_frame_start is not None:
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start_time = trim_frame_start / fps
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commands.extend([ '-ss', str(start_time) ])
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if trim_frame_end is not None:
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end_time = trim_frame_end / fps
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commands.extend([ '-to', str(end_time) ])
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commands.extend([ '-i', target_path, '-c', 'copy', '-map', '0:v:0', '-map', '1:a:0', '-shortest', '-y', output_path ])
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return run_ffmpeg(commands)
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def get_temp_frame_paths(target_path : str) -> List[str]:
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temp_frames_pattern = get_temp_frames_pattern(target_path, '*')
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return sorted(glob.glob(temp_frames_pattern))
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def get_temp_frames_pattern(target_path : str, temp_frame_prefix : str) -> str:
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temp_directory_path = get_temp_directory_path(target_path)
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return os.path.join(temp_directory_path, temp_frame_prefix + '.' + facefusion.globals.temp_frame_format)
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def get_temp_directory_path(target_path : str) -> str:
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target_name, _ = os.path.splitext(os.path.basename(target_path))
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return os.path.join(TEMP_DIRECTORY_PATH, target_name)
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def get_temp_output_video_path(target_path : str) -> str:
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temp_directory_path = get_temp_directory_path(target_path)
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return os.path.join(temp_directory_path, TEMP_OUTPUT_VIDEO_NAME)
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def normalize_output_path(source_path : Optional[str], target_path : Optional[str], output_path : Optional[str]) -> Optional[str]:
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if is_file(source_path) and is_file(target_path) and is_directory(output_path):
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source_name, _ = os.path.splitext(os.path.basename(source_path))
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target_name, target_extension = os.path.splitext(os.path.basename(target_path))
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return os.path.join(output_path, source_name + '-' + target_name + target_extension)
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if is_file(target_path) and output_path:
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target_name, target_extension = os.path.splitext(os.path.basename(target_path))
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output_name, output_extension = os.path.splitext(os.path.basename(output_path))
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output_directory_path = os.path.dirname(output_path)
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if is_directory(output_directory_path) and output_extension:
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return os.path.join(output_directory_path, output_name + target_extension)
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return None
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return output_path
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def create_temp(target_path : str) -> None:
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temp_directory_path = get_temp_directory_path(target_path)
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Path(temp_directory_path).mkdir(parents = True, exist_ok = True)
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def move_temp(target_path : str, output_path : str) -> None:
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temp_output_video_path = get_temp_output_video_path(target_path)
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if is_file(temp_output_video_path):
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if is_file(output_path):
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os.remove(output_path)
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shutil.move(temp_output_video_path, output_path)
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def clear_temp(target_path : str) -> None:
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temp_directory_path = get_temp_directory_path(target_path)
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parent_directory_path = os.path.dirname(temp_directory_path)
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if not facefusion.globals.keep_temp and is_directory(temp_directory_path):
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shutil.rmtree(temp_directory_path)
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if os.path.exists(parent_directory_path) and not os.listdir(parent_directory_path):
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os.rmdir(parent_directory_path)
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def is_file(file_path : str) -> bool:
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return bool(file_path and os.path.isfile(file_path))
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def is_directory(directory_path : str) -> bool:
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return bool(directory_path and os.path.isdir(directory_path))
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def is_image(image_path : str) -> bool:
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if is_file(image_path):
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mimetype, _ = mimetypes.guess_type(image_path)
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return bool(mimetype and mimetype.startswith('image/'))
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return False
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def is_video(video_path : str) -> bool:
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if is_file(video_path):
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mimetype, _ = mimetypes.guess_type(video_path)
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return bool(mimetype and mimetype.startswith('video/'))
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return False
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def conditional_download(download_directory_path : str, urls : List[str]) -> None:
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for url in urls:
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download_file_path = os.path.join(download_directory_path, os.path.basename(url))
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total = get_download_size(url)
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if is_file(download_file_path):
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initial = os.path.getsize(download_file_path)
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else:
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initial = 0
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if initial < total:
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with tqdm(total = total, initial = initial, desc = wording.get('downloading'), unit = 'B', unit_scale = True, unit_divisor = 1024) as progress:
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subprocess.Popen([ 'curl', '--create-dirs', '--silent', '--location', '--continue-at', '-', '--output', download_file_path, url ])
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current = initial
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while current < total:
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if is_file(download_file_path):
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current = os.path.getsize(download_file_path)
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progress.update(current - progress.n)
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@lru_cache(maxsize = None)
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def get_download_size(url : str) -> Optional[int]:
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try:
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response = urllib.request.urlopen(url) # type: ignore[attr-defined]
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return int(response.getheader('Content-Length'))
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except (OSError, ValueError):
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return None
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def is_download_done(url : str, file_path : str) -> bool:
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if is_file(file_path):
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return get_download_size(url) == os.path.getsize(file_path)
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return False
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def resolve_relative_path(path : str) -> str:
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return os.path.abspath(os.path.join(os.path.dirname(__file__), path))
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def list_module_names(path : str) -> Optional[List[str]]:
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if os.path.exists(path):
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files = os.listdir(path)
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return [ Path(file).stem for file in files if not Path(file).stem.startswith('__') ]
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return None
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def encode_execution_providers(execution_providers : List[str]) -> List[str]:
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return [ execution_provider.replace('ExecutionProvider', '').lower() for execution_provider in execution_providers ]
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def decode_execution_providers(execution_providers: List[str]) -> List[str]:
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available_execution_providers = onnxruntime.get_available_providers()
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encoded_execution_providers = encode_execution_providers(available_execution_providers)
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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) ]
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def get_device(execution_providers : List[str]) -> str:
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if 'CUDAExecutionProvider' in execution_providers:
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return 'cuda'
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if 'CoreMLExecutionProvider' in execution_providers:
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return 'mps'
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return 'cpu'
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