402 lines
26 KiB
Python
Executable File
402 lines
26 KiB
Python
Executable File
import os
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os.environ['OMP_NUM_THREADS'] = '1'
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import signal
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import sys
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import warnings
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import shutil
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import numpy
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import onnxruntime
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from time import sleep, time
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from argparse import ArgumentParser, HelpFormatter
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import facefusion.choices
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import facefusion.globals
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from facefusion.face_analyser import get_one_face, get_average_face
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from facefusion.face_store import get_reference_faces, append_reference_face
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from facefusion import face_analyser, face_masker, content_analyser, config, process_manager, metadata, logger, wording
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from facefusion.content_analyser import analyse_image, analyse_video
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from facefusion.processors.frame.core import get_frame_processors_modules, load_frame_processor_module
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from facefusion.common_helper import create_metavar, get_first
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from facefusion.execution import encode_execution_providers, decode_execution_providers
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from facefusion.normalizer import normalize_output_path, normalize_padding, normalize_fps
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from facefusion.memory import limit_system_memory
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from facefusion.statistics import conditional_log_statistics
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from facefusion.download import conditional_download
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from facefusion.filesystem import list_directory, get_temp_frame_paths, create_temp, move_temp, clear_temp, is_image, is_video, filter_audio_paths, resolve_relative_path
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from facefusion.ffmpeg import extract_frames, merge_video, copy_image, finalize_image, restore_audio, replace_audio
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from facefusion.vision import read_image, read_static_images, detect_image_resolution, restrict_video_fps, create_image_resolutions, get_video_frame, detect_video_resolution, detect_video_fps, restrict_video_resolution, restrict_image_resolution, create_video_resolutions, pack_resolution, unpack_resolution
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onnxruntime.set_default_logger_severity(3)
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warnings.filterwarnings('ignore', category = UserWarning, module = 'gradio')
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def cli() -> None:
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signal.signal(signal.SIGINT, lambda signal_number, frame: destroy())
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program = ArgumentParser(formatter_class = lambda prog: HelpFormatter(prog, max_help_position = 130), add_help = False)
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# general
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program.add_argument('-s', '--source', help = wording.get('help.source'), action = 'append', dest = 'source_paths', default = config.get_str_list('general.source_paths'))
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program.add_argument('-t', '--target', help = wording.get('help.target'), dest = 'target_path', default = config.get_str_value('general.target_path'))
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program.add_argument('-o', '--output', help = wording.get('help.output'), dest = 'output_path', default = config.get_str_value('general.output_path'))
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program.add_argument('-v', '--version', version = metadata.get('name') + ' ' + metadata.get('version'), action = 'version')
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# misc
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group_misc = program.add_argument_group('misc')
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group_misc.add_argument('--force-download', help = wording.get('help.force_download'), action = 'store_true', default = config.get_bool_value('misc.force_download'))
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group_misc.add_argument('--skip-download', help = wording.get('help.skip_download'), action = 'store_true', default = config.get_bool_value('misc.skip_download'))
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group_misc.add_argument('--headless', help = wording.get('help.headless'), action = 'store_true', default = config.get_bool_value('misc.headless'))
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group_misc.add_argument('--log-level', help = wording.get('help.log_level'), default = config.get_str_value('misc.log_level', 'info'), choices = logger.get_log_levels())
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# execution
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execution_providers = encode_execution_providers(onnxruntime.get_available_providers())
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group_execution = program.add_argument_group('execution')
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group_execution.add_argument('--execution-providers', help = wording.get('help.execution_providers').format(choices = ', '.join(execution_providers)), default = config.get_str_list('execution.execution_providers', 'cpu'), choices = execution_providers, nargs = '+', metavar = 'EXECUTION_PROVIDERS')
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group_execution.add_argument('--execution-thread-count', help = wording.get('help.execution_thread_count'), type = int, default = config.get_int_value('execution.execution_thread_count', '4'), choices = facefusion.choices.execution_thread_count_range, metavar = create_metavar(facefusion.choices.execution_thread_count_range))
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group_execution.add_argument('--execution-queue-count', help = wording.get('help.execution_queue_count'), type = int, default = config.get_int_value('execution.execution_queue_count', '1'), choices = facefusion.choices.execution_queue_count_range, metavar = create_metavar(facefusion.choices.execution_queue_count_range))
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# memory
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group_memory = program.add_argument_group('memory')
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group_memory.add_argument('--video-memory-strategy', help = wording.get('help.video_memory_strategy'), default = config.get_str_value('memory.video_memory_strategy', 'strict'), choices = facefusion.choices.video_memory_strategies)
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group_memory.add_argument('--system-memory-limit', help = wording.get('help.system_memory_limit'), type = int, default = config.get_int_value('memory.system_memory_limit', '0'), choices = facefusion.choices.system_memory_limit_range, metavar = create_metavar(facefusion.choices.system_memory_limit_range))
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# face analyser
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group_face_analyser = program.add_argument_group('face analyser')
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group_face_analyser.add_argument('--face-analyser-order', help = wording.get('help.face_analyser_order'), default = config.get_str_value('face_analyser.face_analyser_order', 'left-right'), choices = facefusion.choices.face_analyser_orders)
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group_face_analyser.add_argument('--face-analyser-age', help = wording.get('help.face_analyser_age'), default = config.get_str_value('face_analyser.face_analyser_age'), choices = facefusion.choices.face_analyser_ages)
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group_face_analyser.add_argument('--face-analyser-gender', help = wording.get('help.face_analyser_gender'), default = config.get_str_value('face_analyser.face_analyser_gender'), choices = facefusion.choices.face_analyser_genders)
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group_face_analyser.add_argument('--face-detector-model', help = wording.get('help.face_detector_model'), default = config.get_str_value('face_analyser.face_detector_model', 'yoloface'), choices = facefusion.choices.face_detector_set.keys())
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group_face_analyser.add_argument('--face-detector-size', help = wording.get('help.face_detector_size'), default = config.get_str_value('face_analyser.face_detector_size', '640x640'))
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group_face_analyser.add_argument('--face-detector-score', help = wording.get('help.face_detector_score'), type = float, default = config.get_float_value('face_analyser.face_detector_score', '0.5'), choices = facefusion.choices.face_detector_score_range, metavar = create_metavar(facefusion.choices.face_detector_score_range))
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group_face_analyser.add_argument('--face-landmarker-score', help = wording.get('help.face_landmarker_score'), type = float, default = config.get_float_value('face_analyser.face_landmarker_score', '0.5'), choices = facefusion.choices.face_landmarker_score_range, metavar = create_metavar(facefusion.choices.face_landmarker_score_range))
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# face selector
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group_face_selector = program.add_argument_group('face selector')
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group_face_selector.add_argument('--face-selector-mode', help = wording.get('help.face_selector_mode'), default = config.get_str_value('face_selector.face_selector_mode', 'reference'), choices = facefusion.choices.face_selector_modes)
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group_face_selector.add_argument('--reference-face-position', help = wording.get('help.reference_face_position'), type = int, default = config.get_int_value('face_selector.reference_face_position', '0'))
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group_face_selector.add_argument('--reference-face-distance', help = wording.get('help.reference_face_distance'), type = float, default = config.get_float_value('face_selector.reference_face_distance', '0.6'), choices = facefusion.choices.reference_face_distance_range, metavar = create_metavar(facefusion.choices.reference_face_distance_range))
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group_face_selector.add_argument('--reference-frame-number', help = wording.get('help.reference_frame_number'), type = int, default = config.get_int_value('face_selector.reference_frame_number', '0'))
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# face mask
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group_face_mask = program.add_argument_group('face mask')
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group_face_mask.add_argument('--face-mask-types', help = wording.get('help.face_mask_types').format(choices = ', '.join(facefusion.choices.face_mask_types)), default = config.get_str_list('face_mask.face_mask_types', 'box'), choices = facefusion.choices.face_mask_types, nargs = '+', metavar = 'FACE_MASK_TYPES')
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group_face_mask.add_argument('--face-mask-blur', help = wording.get('help.face_mask_blur'), type = float, default = config.get_float_value('face_mask.face_mask_blur', '0.3'), choices = facefusion.choices.face_mask_blur_range, metavar = create_metavar(facefusion.choices.face_mask_blur_range))
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group_face_mask.add_argument('--face-mask-padding', help = wording.get('help.face_mask_padding'), type = int, default = config.get_int_list('face_mask.face_mask_padding', '0 0 0 0'), nargs = '+')
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group_face_mask.add_argument('--face-mask-regions', help = wording.get('help.face_mask_regions').format(choices = ', '.join(facefusion.choices.face_mask_regions)), default = config.get_str_list('face_mask.face_mask_regions', ' '.join(facefusion.choices.face_mask_regions)), choices = facefusion.choices.face_mask_regions, nargs = '+', metavar = 'FACE_MASK_REGIONS')
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# frame extraction
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group_frame_extraction = program.add_argument_group('frame extraction')
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group_frame_extraction.add_argument('--trim-frame-start', help = wording.get('help.trim_frame_start'), type = int, default = facefusion.config.get_int_value('frame_extraction.trim_frame_start'))
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group_frame_extraction.add_argument('--trim-frame-end', help = wording.get('help.trim_frame_end'), type = int, default = facefusion.config.get_int_value('frame_extraction.trim_frame_end'))
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group_frame_extraction.add_argument('--temp-frame-format', help = wording.get('help.temp_frame_format'), default = config.get_str_value('frame_extraction.temp_frame_format', 'png'), choices = facefusion.choices.temp_frame_formats)
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group_frame_extraction.add_argument('--keep-temp', help = wording.get('help.keep_temp'), action = 'store_true', default = config.get_bool_value('frame_extraction.keep_temp'))
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# output creation
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group_output_creation = program.add_argument_group('output creation')
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group_output_creation.add_argument('--output-image-quality', help = wording.get('help.output_image_quality'), type = int, default = config.get_int_value('output_creation.output_image_quality', '80'), choices = facefusion.choices.output_image_quality_range, metavar = create_metavar(facefusion.choices.output_image_quality_range))
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group_output_creation.add_argument('--output-image-resolution', help = wording.get('help.output_image_resolution'), default = config.get_str_value('output_creation.output_image_resolution'))
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group_output_creation.add_argument('--output-video-encoder', help = wording.get('help.output_video_encoder'), default = config.get_str_value('output_creation.output_video_encoder', 'libx264'), choices = facefusion.choices.output_video_encoders)
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group_output_creation.add_argument('--output-video-preset', help = wording.get('help.output_video_preset'), default = config.get_str_value('output_creation.output_video_preset', 'veryfast'), choices = facefusion.choices.output_video_presets)
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group_output_creation.add_argument('--output-video-quality', help = wording.get('help.output_video_quality'), type = int, default = config.get_int_value('output_creation.output_video_quality', '80'), choices = facefusion.choices.output_video_quality_range, metavar = create_metavar(facefusion.choices.output_video_quality_range))
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group_output_creation.add_argument('--output-video-resolution', help = wording.get('help.output_video_resolution'), default = config.get_str_value('output_creation.output_video_resolution'))
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group_output_creation.add_argument('--output-video-fps', help = wording.get('help.output_video_fps'), type = float)
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group_output_creation.add_argument('--skip-audio', help = wording.get('help.skip_audio'), action = 'store_true', default = config.get_bool_value('output_creation.skip_audio'))
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# frame processors
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available_frame_processors = list_directory('facefusion/processors/frame/modules')
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program = ArgumentParser(parents = [ program ], formatter_class = program.formatter_class, add_help = True)
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group_frame_processors = program.add_argument_group('frame processors')
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group_frame_processors.add_argument('--frame-processors', help = wording.get('help.frame_processors').format(choices = ', '.join(available_frame_processors)), default = config.get_str_list('frame_processors.frame_processors', 'face_swapper'), nargs = '+')
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for frame_processor in available_frame_processors:
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frame_processor_module = load_frame_processor_module(frame_processor)
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frame_processor_module.register_args(group_frame_processors)
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# uis
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available_ui_layouts = list_directory('facefusion/uis/layouts')
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group_uis = program.add_argument_group('uis')
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group_uis.add_argument('--ui-layouts', help = wording.get('help.ui_layouts').format(choices = ', '.join(available_ui_layouts)), default = config.get_str_list('uis.ui_layouts', 'default'), nargs = '+')
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run(program)
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def apply_args(program : ArgumentParser) -> None:
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args = program.parse_args()
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# general
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facefusion.globals.source_paths = args.source_paths
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facefusion.globals.target_path = args.target_path
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facefusion.globals.output_path = args.output_path
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# misc
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facefusion.globals.force_download = args.force_download
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facefusion.globals.skip_download = args.skip_download
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facefusion.globals.headless = args.headless
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facefusion.globals.log_level = args.log_level
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# execution
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facefusion.globals.execution_providers = decode_execution_providers(args.execution_providers)
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facefusion.globals.execution_thread_count = args.execution_thread_count
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facefusion.globals.execution_queue_count = args.execution_queue_count
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# memory
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facefusion.globals.video_memory_strategy = args.video_memory_strategy
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facefusion.globals.system_memory_limit = args.system_memory_limit
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# face analyser
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facefusion.globals.face_analyser_order = args.face_analyser_order
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facefusion.globals.face_analyser_age = args.face_analyser_age
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facefusion.globals.face_analyser_gender = args.face_analyser_gender
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facefusion.globals.face_detector_model = args.face_detector_model
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if args.face_detector_size in facefusion.choices.face_detector_set[args.face_detector_model]:
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facefusion.globals.face_detector_size = args.face_detector_size
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else:
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facefusion.globals.face_detector_size = '640x640'
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facefusion.globals.face_detector_score = args.face_detector_score
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facefusion.globals.face_landmarker_score = args.face_landmarker_score
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# face selector
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facefusion.globals.face_selector_mode = args.face_selector_mode
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facefusion.globals.reference_face_position = args.reference_face_position
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facefusion.globals.reference_face_distance = args.reference_face_distance
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facefusion.globals.reference_frame_number = args.reference_frame_number
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# face mask
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facefusion.globals.face_mask_types = args.face_mask_types
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facefusion.globals.face_mask_blur = args.face_mask_blur
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facefusion.globals.face_mask_padding = normalize_padding(args.face_mask_padding)
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facefusion.globals.face_mask_regions = args.face_mask_regions
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# frame extraction
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facefusion.globals.trim_frame_start = args.trim_frame_start
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facefusion.globals.trim_frame_end = args.trim_frame_end
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facefusion.globals.temp_frame_format = args.temp_frame_format
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facefusion.globals.keep_temp = args.keep_temp
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# output creation
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facefusion.globals.output_image_quality = args.output_image_quality
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if is_image(args.target_path):
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output_image_resolution = detect_image_resolution(args.target_path)
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output_image_resolutions = create_image_resolutions(output_image_resolution)
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if args.output_image_resolution in output_image_resolutions:
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facefusion.globals.output_image_resolution = args.output_image_resolution
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else:
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facefusion.globals.output_image_resolution = pack_resolution(output_image_resolution)
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facefusion.globals.output_video_encoder = args.output_video_encoder
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facefusion.globals.output_video_preset = args.output_video_preset
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facefusion.globals.output_video_quality = args.output_video_quality
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if is_video(args.target_path):
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output_video_resolution = detect_video_resolution(args.target_path)
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output_video_resolutions = create_video_resolutions(output_video_resolution)
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if args.output_video_resolution in output_video_resolutions:
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facefusion.globals.output_video_resolution = args.output_video_resolution
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else:
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facefusion.globals.output_video_resolution = pack_resolution(output_video_resolution)
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if args.output_video_fps or is_video(args.target_path):
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facefusion.globals.output_video_fps = normalize_fps(args.output_video_fps) or detect_video_fps(args.target_path)
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facefusion.globals.skip_audio = args.skip_audio
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# frame processors
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available_frame_processors = list_directory('facefusion/processors/frame/modules')
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facefusion.globals.frame_processors = args.frame_processors
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for frame_processor in available_frame_processors:
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frame_processor_module = load_frame_processor_module(frame_processor)
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frame_processor_module.apply_args(program)
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# uis
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facefusion.globals.ui_layouts = args.ui_layouts
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def run(program : ArgumentParser) -> None:
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apply_args(program)
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logger.init(facefusion.globals.log_level)
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if facefusion.globals.system_memory_limit > 0:
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limit_system_memory(facefusion.globals.system_memory_limit)
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if facefusion.globals.force_download:
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force_download()
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return
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if not pre_check() or not content_analyser.pre_check() or not face_analyser.pre_check() or not face_masker.pre_check():
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return
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for frame_processor_module in get_frame_processors_modules(facefusion.globals.frame_processors):
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if not frame_processor_module.pre_check():
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return
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if facefusion.globals.headless:
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conditional_process()
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else:
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import facefusion.uis.core as ui
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for ui_layout in ui.get_ui_layouts_modules(facefusion.globals.ui_layouts):
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if not ui_layout.pre_check():
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return
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ui.launch()
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def destroy() -> None:
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process_manager.stop()
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while process_manager.is_processing():
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sleep(0.5)
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if facefusion.globals.target_path:
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clear_temp(facefusion.globals.target_path)
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sys.exit(0)
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def pre_check() -> bool:
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if sys.version_info < (3, 9):
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logger.error(wording.get('python_not_supported').format(version = '3.9'), __name__.upper())
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return False
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if not shutil.which('ffmpeg'):
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logger.error(wording.get('ffmpeg_not_installed'), __name__.upper())
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return False
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return True
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def conditional_process() -> None:
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start_time = time()
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for frame_processor_module in get_frame_processors_modules(facefusion.globals.frame_processors):
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while not frame_processor_module.post_check():
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logger.disable()
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sleep(0.5)
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logger.enable()
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if not frame_processor_module.pre_process('output'):
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return
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conditional_append_reference_faces()
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if is_image(facefusion.globals.target_path):
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process_image(start_time)
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if is_video(facefusion.globals.target_path):
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process_video(start_time)
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def conditional_append_reference_faces() -> None:
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if 'reference' in facefusion.globals.face_selector_mode and not get_reference_faces():
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source_frames = read_static_images(facefusion.globals.source_paths)
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source_face = get_average_face(source_frames)
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if is_video(facefusion.globals.target_path):
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reference_frame = get_video_frame(facefusion.globals.target_path, facefusion.globals.reference_frame_number)
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else:
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reference_frame = read_image(facefusion.globals.target_path)
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reference_face = get_one_face(reference_frame, facefusion.globals.reference_face_position)
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append_reference_face('origin', reference_face)
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if source_face and reference_face:
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for frame_processor_module in get_frame_processors_modules(facefusion.globals.frame_processors):
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abstract_reference_frame = frame_processor_module.get_reference_frame(source_face, reference_face, reference_frame)
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if numpy.any(abstract_reference_frame):
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reference_frame = abstract_reference_frame
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reference_face = get_one_face(reference_frame, facefusion.globals.reference_face_position)
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append_reference_face(frame_processor_module.__name__, reference_face)
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def force_download() -> None:
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download_directory_path = resolve_relative_path('../.assets/models')
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available_frame_processors = list_directory('facefusion/processors/frame/modules')
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model_list =\
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[
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content_analyser.MODELS,
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face_analyser.MODELS,
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face_masker.MODELS
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]
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for frame_processor_module in get_frame_processors_modules(available_frame_processors):
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if hasattr(frame_processor_module, 'MODELS'):
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model_list.append(frame_processor_module.MODELS)
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urls = [ models[model].get('url') for models in model_list for model in models ]
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|
conditional_download(download_directory_path, urls)
|
|
|
|
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|
def process_image(start_time : float) -> None:
|
|
normed_output_path = normalize_output_path(facefusion.globals.target_path, facefusion.globals.output_path)
|
|
if analyse_image(facefusion.globals.target_path):
|
|
return
|
|
# copy image
|
|
process_manager.start()
|
|
temp_image_resolution = pack_resolution(restrict_image_resolution(facefusion.globals.target_path, unpack_resolution(facefusion.globals.output_image_resolution)))
|
|
logger.info(wording.get('copying_image').format(resolution = temp_image_resolution), __name__.upper())
|
|
if copy_image(facefusion.globals.target_path, normed_output_path, temp_image_resolution):
|
|
logger.debug(wording.get('copying_image_succeed'), __name__.upper())
|
|
else:
|
|
logger.error(wording.get('copying_image_failed'), __name__.upper())
|
|
return
|
|
# process image
|
|
for frame_processor_module in get_frame_processors_modules(facefusion.globals.frame_processors):
|
|
logger.info(wording.get('processing'), frame_processor_module.NAME)
|
|
frame_processor_module.process_image(facefusion.globals.source_paths, normed_output_path, normed_output_path)
|
|
frame_processor_module.post_process()
|
|
if is_process_stopping():
|
|
return
|
|
# finalize image
|
|
logger.info(wording.get('finalizing_image').format(resolution = facefusion.globals.output_image_resolution), __name__.upper())
|
|
if finalize_image(normed_output_path, facefusion.globals.output_image_resolution):
|
|
logger.debug(wording.get('finalizing_image_succeed'), __name__.upper())
|
|
else:
|
|
logger.warn(wording.get('finalizing_image_skipped'), __name__.upper())
|
|
# validate image
|
|
if is_image(normed_output_path):
|
|
seconds = '{:.2f}'.format((time() - start_time) % 60)
|
|
logger.info(wording.get('processing_image_succeed').format(seconds = seconds), __name__.upper())
|
|
conditional_log_statistics()
|
|
else:
|
|
logger.error(wording.get('processing_image_failed'), __name__.upper())
|
|
process_manager.end()
|
|
|
|
|
|
def process_video(start_time : float) -> None:
|
|
normed_output_path = normalize_output_path(facefusion.globals.target_path, facefusion.globals.output_path)
|
|
if analyse_video(facefusion.globals.target_path, facefusion.globals.trim_frame_start, facefusion.globals.trim_frame_end):
|
|
return
|
|
# clear temp
|
|
logger.debug(wording.get('clearing_temp'), __name__.upper())
|
|
clear_temp(facefusion.globals.target_path)
|
|
# create temp
|
|
logger.debug(wording.get('creating_temp'), __name__.upper())
|
|
create_temp(facefusion.globals.target_path)
|
|
# extract frames
|
|
process_manager.start()
|
|
temp_video_resolution = pack_resolution(restrict_video_resolution(facefusion.globals.target_path, unpack_resolution(facefusion.globals.output_video_resolution)))
|
|
temp_video_fps = restrict_video_fps(facefusion.globals.target_path, facefusion.globals.output_video_fps)
|
|
logger.info(wording.get('extracting_frames').format(resolution = temp_video_resolution, fps = temp_video_fps), __name__.upper())
|
|
if extract_frames(facefusion.globals.target_path, temp_video_resolution, temp_video_fps):
|
|
logger.debug(wording.get('extracting_frames_succeed'), __name__.upper())
|
|
else:
|
|
if is_process_stopping():
|
|
return
|
|
logger.error(wording.get('extracting_frames_failed'), __name__.upper())
|
|
return
|
|
# process frames
|
|
temp_frame_paths = get_temp_frame_paths(facefusion.globals.target_path)
|
|
if temp_frame_paths:
|
|
for frame_processor_module in get_frame_processors_modules(facefusion.globals.frame_processors):
|
|
logger.info(wording.get('processing'), frame_processor_module.NAME)
|
|
frame_processor_module.process_video(facefusion.globals.source_paths, temp_frame_paths)
|
|
frame_processor_module.post_process()
|
|
if is_process_stopping():
|
|
return
|
|
else:
|
|
logger.error(wording.get('temp_frames_not_found'), __name__.upper())
|
|
return
|
|
# merge video
|
|
logger.info(wording.get('merging_video').format(resolution = facefusion.globals.output_video_resolution, fps = facefusion.globals.output_video_fps), __name__.upper())
|
|
if merge_video(facefusion.globals.target_path, facefusion.globals.output_video_resolution, facefusion.globals.output_video_fps):
|
|
logger.debug(wording.get('merging_video_succeed'), __name__.upper())
|
|
else:
|
|
if is_process_stopping():
|
|
return
|
|
logger.error(wording.get('merging_video_failed'), __name__.upper())
|
|
return
|
|
# handle audio
|
|
if facefusion.globals.skip_audio:
|
|
logger.info(wording.get('skipping_audio'), __name__.upper())
|
|
move_temp(facefusion.globals.target_path, normed_output_path)
|
|
else:
|
|
if 'lip_syncer' in facefusion.globals.frame_processors:
|
|
source_audio_path = get_first(filter_audio_paths(facefusion.globals.source_paths))
|
|
if source_audio_path and replace_audio(facefusion.globals.target_path, source_audio_path, normed_output_path):
|
|
logger.debug(wording.get('restoring_audio_succeed'), __name__.upper())
|
|
else:
|
|
if is_process_stopping():
|
|
return
|
|
logger.warn(wording.get('restoring_audio_skipped'), __name__.upper())
|
|
move_temp(facefusion.globals.target_path, normed_output_path)
|
|
else:
|
|
if restore_audio(facefusion.globals.target_path, normed_output_path, facefusion.globals.output_video_fps):
|
|
logger.debug(wording.get('restoring_audio_succeed'), __name__.upper())
|
|
else:
|
|
if is_process_stopping():
|
|
return
|
|
logger.warn(wording.get('restoring_audio_skipped'), __name__.upper())
|
|
move_temp(facefusion.globals.target_path, normed_output_path)
|
|
# clear temp
|
|
logger.debug(wording.get('clearing_temp'), __name__.upper())
|
|
clear_temp(facefusion.globals.target_path)
|
|
# validate video
|
|
if is_video(normed_output_path):
|
|
seconds = '{:.2f}'.format((time() - start_time))
|
|
logger.info(wording.get('processing_video_succeed').format(seconds = seconds), __name__.upper())
|
|
conditional_log_statistics()
|
|
else:
|
|
logger.error(wording.get('processing_video_failed'), __name__.upper())
|
|
process_manager.end()
|
|
|
|
|
|
def is_process_stopping() -> bool:
|
|
if process_manager.is_stopping():
|
|
process_manager.end()
|
|
logger.info(wording.get('processing_stopped'), __name__.upper())
|
|
return process_manager.is_pending()
|