DeepLiveCam/modules/processors/frame/core.py

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2024-08-13 10:22:54 +00:00
import sys
import importlib
from concurrent.futures import ThreadPoolExecutor
from types import ModuleType
from typing import Any, List, Callable
from tqdm import tqdm
import modules
import modules.globals
FRAME_PROCESSORS_MODULES: List[ModuleType] = []
FRAME_PROCESSORS_INTERFACE = [
'pre_check',
'pre_start',
'process_frame',
'process_image',
'process_video'
]
def load_frame_processor_module(frame_processor: str) -> Any:
try:
frame_processor_module = importlib.import_module(f'modules.processors.frame.{frame_processor}')
for method_name in FRAME_PROCESSORS_INTERFACE:
if not hasattr(frame_processor_module, method_name):
sys.exit()
except ImportError:
print(f"Frame processor {frame_processor} not found")
sys.exit()
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)
set_frame_processors_modules_from_ui(frame_processors)
return FRAME_PROCESSORS_MODULES
def set_frame_processors_modules_from_ui(frame_processors: List[str]) -> None:
global FRAME_PROCESSORS_MODULES
for frame_processor, state in modules.globals.fp_ui.items():
if state == True and frame_processor not in frame_processors:
frame_processor_module = load_frame_processor_module(frame_processor)
FRAME_PROCESSORS_MODULES.append(frame_processor_module)
modules.globals.frame_processors.append(frame_processor)
if state == False:
try:
frame_processor_module = load_frame_processor_module(frame_processor)
FRAME_PROCESSORS_MODULES.remove(frame_processor_module)
modules.globals.frame_processors.remove(frame_processor)
except:
pass
def multi_process_frame(source_path: str, temp_frame_paths: List[str], process_frames: Callable[[str, List[str], Any], None], progress: Any = None) -> None:
with ThreadPoolExecutor(max_workers=modules.globals.execution_threads) as executor:
futures = []
for path in temp_frame_paths:
future = executor.submit(process_frames, source_path, [path], progress)
futures.append(future)
for future in futures:
future.result()
def process_video(source_path: str, frame_paths: list[str], process_frames: Callable[[str, List[str], Any], None]) -> None:
progress_bar_format = '{l_bar}{bar}| {n_fmt}/{total_fmt} [{elapsed}<{remaining}, {rate_fmt}{postfix}]'
total = len(frame_paths)
with tqdm(total=total, desc='Processing', unit='frame', dynamic_ncols=True, bar_format=progress_bar_format) as progress:
progress.set_postfix({'execution_providers': modules.globals.execution_providers, 'execution_threads': modules.globals.execution_threads, 'max_memory': modules.globals.max_memory})
multi_process_frame(source_path, frame_paths, process_frames, progress)