vnyash
117 lines
4.0 KiB
Python
117 lines
4.0 KiB
Python
import os
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import sys
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import importlib
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from concurrent.futures import ThreadPoolExecutor, as_completed
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from queue import Queue
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from types import ModuleType
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from typing import Any, List
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from tqdm import tqdm
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import deepfuze.globals
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from deepfuze.typing import ProcessFrames, QueuePayload
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from deepfuze.execution import encode_execution_providers
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from deepfuze import logger, wording
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FRAME_PROCESSORS_MODULES : List[ModuleType] = []
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FRAME_PROCESSORS_METHODS =\
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[
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'get_frame_processor',
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'clear_frame_processor',
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'get_options',
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'set_options',
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'register_args',
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'apply_args',
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'pre_check',
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'post_check',
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'pre_process',
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'post_process',
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'get_reference_frame',
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'process_frame',
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'process_frames',
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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('deepfuze.processors.frame.modules.' + frame_processor)
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for method_name in FRAME_PROCESSORS_METHODS:
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if not hasattr(frame_processor_module, method_name):
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raise NotImplementedError
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except ModuleNotFoundError as exception:
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logger.error(wording.get('frame_processor_not_loaded').format(frame_processor = frame_processor), __name__.upper())
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logger.debug(exception.msg, __name__.upper())
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sys.exit(1)
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except NotImplementedError:
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logger.error(wording.get('frame_processor_not_implemented').format(frame_processor = frame_processor), __name__.upper())
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sys.exit(1)
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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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return FRAME_PROCESSORS_MODULES
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def clear_frame_processors_modules() -> None:
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global FRAME_PROCESSORS_MODULES
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for frame_processor_module in get_frame_processors_modules(deepfuze.globals.frame_processors):
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frame_processor_module.clear_frame_processor()
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FRAME_PROCESSORS_MODULES = []
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def multi_process_frames(source_paths : List[str], temp_frame_paths : List[str], process_frames : ProcessFrames) -> None:
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queue_payloads = create_queue_payloads(temp_frame_paths)
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with tqdm(total = len(queue_payloads), desc = wording.get('processing'), unit = 'frame', ascii = ' =', disable = deepfuze.globals.log_level in [ 'warn', 'error' ]) as progress:
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progress.set_postfix(
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{
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'execution_providers': encode_execution_providers(deepfuze.globals.execution_providers),
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'execution_thread_count': deepfuze.globals.execution_thread_count,
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'execution_queue_count': deepfuze.globals.execution_queue_count
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})
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with ThreadPoolExecutor(max_workers = deepfuze.globals.execution_thread_count) as executor:
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futures = []
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queue : Queue[QueuePayload] = create_queue(queue_payloads)
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queue_per_future = max(len(queue_payloads) // deepfuze.globals.execution_thread_count * deepfuze.globals.execution_queue_count, 1)
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while not queue.empty():
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future = executor.submit(process_frames, source_paths, pick_queue(queue, queue_per_future), progress.update)
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futures.append(future)
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for future_done in as_completed(futures):
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future_done.result()
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def create_queue(queue_payloads : List[QueuePayload]) -> Queue[QueuePayload]:
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queue : Queue[QueuePayload] = Queue()
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for queue_payload in queue_payloads:
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queue.put(queue_payload)
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return queue
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def pick_queue(queue : Queue[QueuePayload], queue_per_future : int) -> List[QueuePayload]:
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queues = []
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for _ in range(queue_per_future):
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if not queue.empty():
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queues.append(queue.get())
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return queues
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def create_queue_payloads(temp_frame_paths : List[str]) -> List[QueuePayload]:
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queue_payloads = []
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temp_frame_paths = sorted(temp_frame_paths, key = os.path.basename)
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for frame_number, frame_path in enumerate(temp_frame_paths):
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frame_payload : QueuePayload =\
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{
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'frame_number': frame_number,
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'frame_path': frame_path
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}
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queue_payloads.append(frame_payload)
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return queue_payloads
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