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import sys | |
import importlib | |
from concurrent.futures import ThreadPoolExecutor, as_completed | |
from queue import Queue | |
from types import ModuleType | |
from typing import Any, List | |
from tqdm import tqdm | |
import facefusion.globals | |
from facefusion.typing import Process_Frames | |
from facefusion import wording | |
from facefusion.utilities import encode_execution_providers | |
FRAME_PROCESSORS_MODULES : List[ModuleType] = [] | |
FRAME_PROCESSORS_METHODS =\ | |
[ | |
'get_frame_processor', | |
'clear_frame_processor', | |
'get_options', | |
'set_options', | |
'register_args', | |
'apply_args', | |
'pre_check', | |
'pre_process', | |
'process_frame', | |
'process_frames', | |
'process_image', | |
'process_video', | |
'post_process' | |
] | |
def load_frame_processor_module(frame_processor : str) -> Any: | |
try: | |
frame_processor_module = importlib.import_module('facefusion.processors.frame.modules.' + frame_processor) | |
for method_name in FRAME_PROCESSORS_METHODS: | |
if not hasattr(frame_processor_module, method_name): | |
raise NotImplementedError | |
except ModuleNotFoundError: | |
sys.exit(wording.get('frame_processor_not_loaded').format(frame_processor = frame_processor)) | |
except NotImplementedError: | |
sys.exit(wording.get('frame_processor_not_implemented').format(frame_processor = frame_processor)) | |
return frame_processor_module | |
def get_frame_processors_modules(frame_processors : List[str]) -> List[ModuleType]: | |
global FRAME_PROCESSORS_MODULES | |
if not FRAME_PROCESSORS_MODULES: | |
for frame_processor in frame_processors: | |
frame_processor_module = load_frame_processor_module(frame_processor) | |
FRAME_PROCESSORS_MODULES.append(frame_processor_module) | |
return FRAME_PROCESSORS_MODULES | |
def clear_frame_processors_modules() -> None: | |
global FRAME_PROCESSORS_MODULES | |
for frame_processor_module in get_frame_processors_modules(facefusion.globals.frame_processors): | |
frame_processor_module.clear_frame_processor() | |
FRAME_PROCESSORS_MODULES = [] | |
def multi_process_frames(source_path : str, temp_frame_paths : List[str], process_frames : Process_Frames) -> None: | |
with tqdm(total = len(temp_frame_paths), desc = wording.get('processing'), unit = 'frame', ascii = ' =') as progress: | |
progress.set_postfix( | |
{ | |
'execution_providers': encode_execution_providers(facefusion.globals.execution_providers), | |
'execution_thread_count': facefusion.globals.execution_thread_count, | |
'execution_queue_count': facefusion.globals.execution_queue_count | |
}) | |
with ThreadPoolExecutor(max_workers = facefusion.globals.execution_thread_count) as executor: | |
futures = [] | |
queue_temp_frame_paths : Queue[str] = create_queue(temp_frame_paths) | |
queue_per_future = max(len(temp_frame_paths) // facefusion.globals.execution_thread_count * facefusion.globals.execution_queue_count, 1) | |
while not queue_temp_frame_paths.empty(): | |
payload_temp_frame_paths = pick_queue(queue_temp_frame_paths, queue_per_future) | |
future = executor.submit(process_frames, source_path, payload_temp_frame_paths, progress.update) | |
futures.append(future) | |
for future_done in as_completed(futures): | |
future_done.result() | |
def create_queue(temp_frame_paths : List[str]) -> Queue[str]: | |
queue : Queue[str] = Queue() | |
for frame_path in temp_frame_paths: | |
queue.put(frame_path) | |
return queue | |
def pick_queue(queue : Queue[str], queue_per_future : int) -> List[str]: | |
queues = [] | |
for _ in range(queue_per_future): | |
if not queue.empty(): | |
queues.append(queue.get()) | |
return queues | |