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