Deep-Live-Cam/modules/processors/frame/core.py

73 lines
3.2 KiB
Python

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) -> ModuleType:
try:
frame_processor_module = importlib.import_module(f'modules.processors.frame.{frame_processor}')
# Ensure all required methods are present
for method_name in FRAME_PROCESSORS_INTERFACE:
if not hasattr(frame_processor_module, method_name):
raise AttributeError(f"Missing required method {method_name} in {frame_processor} module.")
except ImportError:
print(f"Error: Frame processor '{frame_processor}' not found.")
sys.exit(1)
except AttributeError as e:
print(e)
sys.exit(1)
return frame_processor_module
def get_frame_processors_modules(frame_processors: List[str]) -> List[ModuleType]:
global FRAME_PROCESSORS_MODULES
if not FRAME_PROCESSORS_MODULES:
FRAME_PROCESSORS_MODULES = [load_frame_processor_module(fp) for fp in frame_processors]
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 and frame_processor not in frame_processors:
module = load_frame_processor_module(frame_processor)
FRAME_PROCESSORS_MODULES.append(module)
modules.globals.frame_processors.append(frame_processor)
elif not state and frame_processor in frame_processors:
module = load_frame_processor_module(frame_processor)
FRAME_PROCESSORS_MODULES.remove(module)
modules.globals.frame_processors.remove(frame_processor)
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 = [executor.submit(process_frames, source_path, [path], progress) for path in temp_frame_paths]
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)