Cleanup/part 3 (#1203)

* remove todo

* sort out workflow, to match upcoming v4

* remove look ahead

* remove core namespace again
This commit is contained in:
Henry Ruhs
2026-07-26 20:01:22 +02:00
committed by GitHub
parent 3e7645e65c
commit aba04180ed
6 changed files with 287 additions and 317 deletions
-1
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@@ -201,7 +201,6 @@ def set_audio_volume(audio_volume : int) -> List[Command]:
return [ '-filter:a', 'volume=' + str(audio_volume / 100) ]
#todo: needs review - [encoding] [critical: low] explicit ffmpeg thread cap
def set_thread_count(thread_count : int) -> List[Command]:
return [ '-threads', str(thread_count) ]
+10 -92
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@@ -1,18 +1,15 @@
from concurrent.futures import ThreadPoolExecutor, as_completed
from typing import List
import numpy
from tqdm import tqdm
import facefusion.workflows.image_to_video as image_to_video
from facefusion import logger, process_manager, state_manager, translator, video_manager
from facefusion import logger, process_manager, state_manager, translator
from facefusion.audio import create_empty_audio_frame, get_audio_frame, get_voice_frame
from facefusion.common_helper import get_first
from facefusion.filesystem import filter_audio_paths
from facefusion.processors.core import get_processors_modules
from facefusion.temp_helper import clear_temp_directory, create_temp_directory, resolve_temp_frame_set
from facefusion.temp_helper import clear_temp_directory, create_temp_directory
from facefusion.types import AudioFrame, ErrorCode, VisionFrame
from facefusion.vision import conditional_merge_vision_mask, detect_video_resolution, extract_vision_mask, read_static_image, read_static_images, read_static_video_frame, restrict_trim_frame, restrict_video_fps, restrict_video_resolution, scale_resolution
from facefusion.vision import conditional_merge_vision_mask, extract_vision_mask, read_static_image, read_static_images, read_static_video_frame, restrict_trim_frame, restrict_video_fps, select_video_frames
def is_process_stopping() -> bool:
@@ -34,14 +31,12 @@ def clear() -> ErrorCode:
return 0
#todo: copy - renamed workflow to workflow_mode
def conditional_get_reference_vision_frame() -> VisionFrame:
if state_manager.get_item('workflow_mode') == 'image-to-video':
return read_static_video_frame(state_manager.get_item('target_path'), state_manager.get_item('reference_frame_number'))
return read_static_image(state_manager.get_item('target_path'))
#todo: copy - renamed workflow to workflow_mode, video only, trim offset
def conditional_get_source_audio_frame(frame_number : int) -> AudioFrame:
if state_manager.get_item('workflow_mode') == 'image-to-video':
trim_frame_start, _ = restrict_trim_frame(state_manager.get_item('target_path'), state_manager.get_item('trim_frame_start'), state_manager.get_item('trim_frame_end'))
@@ -55,7 +50,6 @@ def conditional_get_source_audio_frame(frame_number : int) -> AudioFrame:
return create_empty_audio_frame()
#todo: copy - renamed workflow to workflow_mode, video only, trim offset
def conditional_get_source_voice_frame(frame_number : int) -> AudioFrame:
if state_manager.get_item('workflow_mode') == 'image-to-video':
trim_frame_start, _ = restrict_trim_frame(state_manager.get_item('target_path'), state_manager.get_item('trim_frame_start'), state_manager.get_item('trim_frame_end'))
@@ -69,8 +63,13 @@ def conditional_get_source_voice_frame(frame_number : int) -> AudioFrame:
return create_empty_audio_frame()
#todo: needs review - [workflow] [critical: medium] copy of process_temp_frame, receives vision frames instead of paths
def process_target_frame(frame_number : int, target_vision_frames : List[VisionFrame], temp_vision_frame : VisionFrame) -> VisionFrame:
def conditional_get_target_vision_frames(frame_number : int) -> List[VisionFrame]:
if state_manager.get_item('workflow_mode') == 'image-to-video':
return select_video_frames(state_manager.get_item('target_path'), frame_number, state_manager.get_item('target_frame_amount'))
return [ read_static_image(state_manager.get_item('target_path')) ]
def process_temp_frame(target_vision_frames : List[VisionFrame], temp_vision_frame : VisionFrame, frame_number : int) -> VisionFrame:
reference_vision_frame = conditional_get_reference_vision_frame()
source_vision_frames = read_static_images(state_manager.get_item('source_paths'))
source_audio_frame = conditional_get_source_audio_frame(frame_number)
@@ -90,84 +89,3 @@ def process_target_frame(frame_number : int, target_vision_frames : List[VisionF
})
return conditional_merge_vision_mask(temp_vision_frame, temp_vision_mask)
#todo: needs review - [workflow] [critical: medium] copy of process_frames, uses temp_frame_set and warms the reference frame
def process_disk_frames() -> ErrorCode:
temp_frame_set = resolve_temp_frame_set(state_manager.get_item('target_path'))
if temp_frame_set:
with tqdm(total = len(temp_frame_set), desc = translator.get('processing'), unit = 'frame', ascii = ' =', disable = state_manager.get_item('log_level') in [ 'warn', 'error' ]) as progress:
progress.set_postfix(execution_providers = state_manager.get_item('execution_providers'))
read_static_video_frame(state_manager.get_item('target_path'), state_manager.get_item('reference_frame_number'))
with ThreadPoolExecutor(max_workers = state_manager.get_item('execution_thread_count')) as executor:
futures = []
for frame_number, temp_frame_path in temp_frame_set.items():
future = executor.submit(image_to_video.process_disk_frame, temp_frame_path, frame_number, temp_frame_set)
futures.append(future)
for future in as_completed(futures):
if is_process_stopping():
for pending_future in futures:
pending_future.cancel()
if not future.cancelled():
future.result()
progress.update()
for processor_module in get_processors_modules(state_manager.get_item('processors')):
processor_module.post_process()
if is_process_stopping():
return 4
else:
logger.error(translator.get('temp_frames_not_found'), __name__)
return 1
return 0
#todo: needs review - [streaming] [critical: high] ordered submit and drain keeps writes in order, failed close stops the process manager
def process_stream_frames() -> ErrorCode:
trim_frame_start, trim_frame_end = restrict_trim_frame(state_manager.get_item('target_path'), state_manager.get_item('trim_frame_start'), state_manager.get_item('trim_frame_end'))
output_video_resolution = scale_resolution(detect_video_resolution(state_manager.get_item('target_path')), state_manager.get_item('output_video_scale'))
temp_video_resolution = restrict_video_resolution(state_manager.get_item('target_path'), output_video_resolution)
temp_video_fps = restrict_video_fps(state_manager.get_item('target_path'), state_manager.get_item('output_video_fps'))
frame_range = range(trim_frame_start, trim_frame_end)
if frame_range:
video_writer = video_manager.get_writer(state_manager.get_item('target_path'), temp_video_fps, temp_video_resolution, output_video_resolution, state_manager.get_item('output_video_fps'))
frame_look_ahead = image_to_video.calculate_frame_look_ahead(temp_video_resolution)
with tqdm(total = len(frame_range), desc = translator.get('processing'), unit = 'frame', ascii = ' =', disable = state_manager.get_item('log_level') in [ 'warn', 'error' ]) as progress:
progress.set_postfix(execution_providers = state_manager.get_item('execution_providers'))
read_static_video_frame(state_manager.get_item('target_path'), state_manager.get_item('reference_frame_number'))
with ThreadPoolExecutor(max_workers = state_manager.get_item('execution_thread_count')) as executor:
futures = []
for frame_number in frame_range:
future = executor.submit(image_to_video.process_stream_frame, frame_number, temp_video_resolution)
futures.append(future)
if len(futures) > frame_look_ahead:
image_to_video.write_stream_frame(video_writer, futures, progress)
for _ in list(futures):
image_to_video.write_stream_frame(video_writer, futures, progress)
if not video_manager.close_video_writer(video_writer):
process_manager.stop()
for processor_module in get_processors_modules(state_manager.get_item('processors')):
processor_module.post_process()
if is_process_stopping():
return 4
else:
logger.error(translator.get('temp_frames_not_found'), __name__)
return 1
return 0
+3 -59
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@@ -1,13 +1,9 @@
from functools import partial
from facefusion import content_analyser, ffmpeg, logger, process_manager, state_manager, translator
from facefusion.filesystem import is_image
from facefusion.processors.core import get_processors_modules
from facefusion.temp_helper import get_temp_file_path
from facefusion.time_helper import calculate_end_time
from facefusion import process_manager
from facefusion.types import ErrorCode
from facefusion.vision import detect_image_resolution, pack_resolution, read_static_image, restrict_image_resolution, scale_resolution, write_image
from facefusion.workflows.core import clear, is_process_stopping, process_target_frame, setup
from facefusion.workflows.core import clear, setup
from facefusion.workflows.to_image import analyse_image, finalize_image, prepare_image, process_image
def process(start_time : float) -> ErrorCode:
@@ -32,55 +28,3 @@ def process(start_time : float) -> ErrorCode:
process_manager.end()
return 0
def analyse_image() -> ErrorCode:
if content_analyser.analyse_image(state_manager.get_item('target_path')):
return 3
return 0
def prepare_image() -> ErrorCode:
output_image_resolution = scale_resolution(detect_image_resolution(state_manager.get_item('target_path')), state_manager.get_item('output_image_scale'))
temp_image_resolution = restrict_image_resolution(state_manager.get_item('target_path'), output_image_resolution)
logger.info(translator.get('copying_image').format(resolution = pack_resolution(temp_image_resolution)), __name__)
if ffmpeg.copy_image(state_manager.get_item('target_path'), temp_image_resolution):
logger.debug(translator.get('copying_image_succeeded'), __name__)
else:
logger.error(translator.get('copying_image_failed'), __name__)
process_manager.end()
return 1
return 0
def process_image() -> ErrorCode:
temp_image_path = get_temp_file_path(state_manager.get_item('target_path'))
target_vision_frame = read_static_image(state_manager.get_item('target_path'))
temp_vision_frame = read_static_image(temp_image_path, 'rgba')
temp_vision_frame = process_target_frame(0, [ target_vision_frame ], temp_vision_frame)
write_image(temp_image_path, temp_vision_frame)
for processor_module in get_processors_modules(state_manager.get_item('processors')):
processor_module.post_process()
if is_process_stopping():
return 4
return 0
def finalize_image(start_time : float) -> ErrorCode:
output_image_resolution = scale_resolution(detect_image_resolution(state_manager.get_item('target_path')), state_manager.get_item('output_image_scale'))
logger.info(translator.get('finalizing_image').format(resolution = pack_resolution(output_image_resolution)), __name__)
if ffmpeg.finalize_image(state_manager.get_item('target_path'), state_manager.get_item('output_path'), output_image_resolution):
logger.debug(translator.get('finalizing_image_succeeded'), __name__)
else:
logger.warn(translator.get('finalizing_image_skipped'), __name__)
if is_image(state_manager.get_item('output_path')):
logger.info(translator.get('processing_image_succeeded').format(seconds = calculate_end_time(start_time)), __name__)
else:
logger.error(translator.get('processing_image_failed'), __name__)
return 1
return 0
+9 -165
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@@ -1,46 +1,35 @@
from concurrent.futures import Future
from functools import partial
from typing import List, Tuple
import cv2
import numpy
from tqdm import tqdm
import facefusion.workflows.core as core
from facefusion import content_analyser, ffmpeg, logger, process_manager, state_manager, translator, video_manager
from facefusion.common_helper import get_first, get_middle
from facefusion.filesystem import filter_audio_paths, is_video
from facefusion.temp_helper import move_temp_file
from facefusion.time_helper import calculate_end_time
from facefusion.types import ErrorCode, FrameSet, Resolution, VideoWriter, VisionFrame
from facefusion.vision import detect_video_resolution, pack_resolution, read_static_image, restrict_trim_frame, restrict_video_fps, restrict_video_resolution, scale_resolution, select_video_frames, write_image
from facefusion import process_manager, state_manager
from facefusion.types import ErrorCode
from facefusion.workflows.core import clear, setup
from facefusion.workflows.to_video import analyse_video, extract_frames, finalize_video, merge_frames, process_disk_frames, process_stream_frames, restore_audio
#todo: copy - task list adds workflow_strategy disk and stream branching
def process(start_time : float) -> ErrorCode:
tasks =\
[
analyse_video,
core.clear,
core.setup
clear,
setup
]
if state_manager.get_item('workflow_strategy') == 'disk':
tasks.extend(
[
extract_frames,
core.process_disk_frames,
process_disk_frames,
merge_frames
])
if state_manager.get_item('workflow_strategy') == 'stream':
tasks.append(core.process_stream_frames)
tasks.append(process_stream_frames)
tasks.extend(
[
restore_audio,
partial(finalize_video, start_time),
core.clear
clear
])
process_manager.start()
@@ -53,148 +42,3 @@ def process(start_time : float) -> ErrorCode:
process_manager.end()
return 0
#todo: copy - restrict_trim_video_frame renamed to restrict_trim_frame
def analyse_video() -> ErrorCode:
trim_frame_start, trim_frame_end = restrict_trim_frame(state_manager.get_item('target_path'), state_manager.get_item('trim_frame_start'), state_manager.get_item('trim_frame_end'))
if content_analyser.analyse_video(state_manager.get_item('target_path'), trim_frame_start, trim_frame_end):
return 3
return 0
#todo: copy - renamed from create_temp_frames, ffmpeg.extract_frames without output_path
def extract_frames() -> ErrorCode:
trim_frame_start, trim_frame_end = restrict_trim_frame(state_manager.get_item('target_path'), state_manager.get_item('trim_frame_start'), state_manager.get_item('trim_frame_end'))
output_video_resolution = scale_resolution(detect_video_resolution(state_manager.get_item('target_path')), state_manager.get_item('output_video_scale'))
temp_video_resolution = restrict_video_resolution(state_manager.get_item('target_path'), output_video_resolution)
temp_video_fps = restrict_video_fps(state_manager.get_item('target_path'), state_manager.get_item('output_video_fps'))
logger.info(translator.get('extracting_frames').format(resolution=pack_resolution(temp_video_resolution), fps=temp_video_fps), __name__)
if ffmpeg.extract_frames(state_manager.get_item('target_path'), temp_video_resolution, temp_video_fps, trim_frame_start, trim_frame_end):
logger.debug(translator.get('extracting_frames_succeeded'), __name__)
else:
if core.is_process_stopping():
return 4
logger.error(translator.get('extracting_frames_failed'), __name__)
return 1
return 0
#todo: copy - dropped conditional resolution and fps helpers
def merge_frames() -> ErrorCode:
trim_frame_start, trim_frame_end = restrict_trim_frame(state_manager.get_item('target_path'), state_manager.get_item('trim_frame_start'), state_manager.get_item('trim_frame_end'))
output_video_resolution = scale_resolution(detect_video_resolution(state_manager.get_item('target_path')), state_manager.get_item('output_video_scale'))
temp_video_fps = restrict_video_fps(state_manager.get_item('target_path'), state_manager.get_item('output_video_fps'))
logger.info(translator.get('merging_video').format(resolution = pack_resolution(output_video_resolution), fps = state_manager.get_item('output_video_fps')), __name__)
if ffmpeg.merge_video(state_manager.get_item('target_path'), temp_video_fps, output_video_resolution, state_manager.get_item('output_video_fps'), trim_frame_start, trim_frame_end):
logger.debug(translator.get('merging_video_succeeded'), __name__)
else:
if core.is_process_stopping():
return 4
logger.error(translator.get('merging_video_failed'), __name__)
return 1
return 0
#todo: copy - clear_video_pool inline, move_temp_file takes target_path
def restore_audio() -> ErrorCode:
trim_frame_start, trim_frame_end = restrict_trim_frame(state_manager.get_item('target_path'), state_manager.get_item('trim_frame_start'), state_manager.get_item('trim_frame_end'))
if state_manager.get_item('output_audio_volume') == 0:
logger.info(translator.get('skipping_audio'), __name__)
move_temp_file(state_manager.get_item('target_path'), state_manager.get_item('output_path'))
else:
source_audio_path = get_first(filter_audio_paths(state_manager.get_item('source_paths')))
if source_audio_path:
if ffmpeg.replace_audio(state_manager.get_item('target_path'), source_audio_path, state_manager.get_item('output_path')):
video_manager.clear_video_pool()
logger.debug(translator.get('replacing_audio_succeeded'), __name__)
else:
video_manager.clear_video_pool()
if core.is_process_stopping():
return 4
logger.warn(translator.get('replacing_audio_skipped'), __name__)
move_temp_file(state_manager.get_item('target_path'), state_manager.get_item('output_path'))
else:
if ffmpeg.restore_audio(state_manager.get_item('target_path'), state_manager.get_item('output_path'), trim_frame_start, trim_frame_end):
video_manager.clear_video_pool()
logger.debug(translator.get('restoring_audio_succeeded'), __name__)
else:
video_manager.clear_video_pool()
if core.is_process_stopping():
return 4
logger.warn(translator.get('restoring_audio_skipped'), __name__)
move_temp_file(state_manager.get_item('target_path'), state_manager.get_item('output_path'))
return 0
#todo: needs review - [correctness] [critical: high] missing neighbor frames resolve to none paths and rely on read_static_image returning none
def resolve_temp_vision_frames(frame_number : int, frame_amount : int, temp_frame_set : FrameSet) -> List[VisionFrame]:
temp_vision_frames = []
frame_range = range(frame_number - frame_amount, frame_number + frame_amount + 1)
for temp_frame_number in frame_range:
temp_vision_frames.append(read_static_image(temp_frame_set.get(temp_frame_number)))
return temp_vision_frames
#todo: needs review - [workflow] [critical: low] disk variant reads temp frame and neighbors from disk and writes back in place
def process_disk_frame(temp_frame_path : str, frame_number : int, temp_frame_set : FrameSet) -> bool:
target_vision_frames = resolve_temp_vision_frames(frame_number, state_manager.get_item('target_frame_amount'), temp_frame_set)
temp_vision_frame = read_static_image(temp_frame_path, 'rgba')
temp_vision_frame = core.process_target_frame(frame_number, target_vision_frames, temp_vision_frame)
return write_image(temp_frame_path, temp_vision_frame)
#todo: needs review - [streaming] [critical: high] middle frame resized to temp resolution before processing, channels follow temp_pixel_format to match the writer pipe
def process_stream_frame(frame_number : int, temp_video_resolution : Resolution) -> Tuple[int, VisionFrame]:
target_vision_frames = select_video_frames(state_manager.get_item('target_path'), frame_number, state_manager.get_item('target_frame_amount'))
target_vision_frame = get_middle(target_vision_frames)
temp_vision_frame = target_vision_frame.copy()
if not (target_vision_frame.shape[1], target_vision_frame.shape[0]) == temp_video_resolution:
temp_vision_frame = cv2.resize(target_vision_frame, temp_video_resolution)
temp_vision_frame = core.process_target_frame(frame_number, target_vision_frames, temp_vision_frame)
if state_manager.get_item('temp_pixel_format') == 'bgra':
temp_vision_frame = cv2.cvtColor(temp_vision_frame, cv2.COLOR_BGR2BGRA)
if state_manager.get_item('temp_pixel_format') == 'bgr24':
temp_vision_frame = temp_vision_frame[:, :, :3]
return frame_number, numpy.ascontiguousarray(temp_vision_frame)
#todo: needs review - [memory] [critical: high] frame look ahead bound by a hardcoded 3gb budget
def calculate_frame_look_ahead(temp_video_resolution : Resolution) -> int:
width, height = temp_video_resolution
frame_memory_budget = 3 * 1024 ** 3
frame_memory_usage = width * height * 4 * 6
return min(state_manager.get_item('execution_thread_count') * 2, max(2, frame_memory_budget // frame_memory_usage))
def write_stream_frame(video_writer : VideoWriter, futures : List[Future[Tuple[int, VisionFrame]]], progress : tqdm) -> None:
if core.is_process_stopping():
for pending_future in futures:
pending_future.cancel()
future = futures.pop(0)
if not future.cancelled():
_, temp_vision_frame = future.result()
video_manager.write_video_frame(video_writer, temp_vision_frame)
progress.update()
#todo: copy
def finalize_video(start_time : float) -> ErrorCode:
if is_video(state_manager.get_item('output_path')):
logger.info(translator.get('processing_video_succeeded').format(seconds = calculate_end_time(start_time)), __name__)
else:
logger.error(translator.get('processing_video_failed'), __name__)
return 1
return 0
+60
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@@ -0,0 +1,60 @@
from facefusion import content_analyser, ffmpeg, logger, process_manager, state_manager, translator
from facefusion.filesystem import is_image
from facefusion.processors.core import get_processors_modules
from facefusion.temp_helper import get_temp_file_path
from facefusion.time_helper import calculate_end_time
from facefusion.types import ErrorCode
from facefusion.vision import detect_image_resolution, pack_resolution, read_static_image, restrict_image_resolution, scale_resolution, write_image
from facefusion.workflows.core import conditional_get_target_vision_frames, is_process_stopping, process_temp_frame
def analyse_image() -> ErrorCode:
if content_analyser.analyse_image(state_manager.get_item('target_path')):
return 3
return 0
def prepare_image() -> ErrorCode:
output_image_resolution = scale_resolution(detect_image_resolution(state_manager.get_item('target_path')), state_manager.get_item('output_image_scale'))
temp_image_resolution = restrict_image_resolution(state_manager.get_item('target_path'), output_image_resolution)
logger.info(translator.get('copying_image').format(resolution = pack_resolution(temp_image_resolution)), __name__)
if ffmpeg.copy_image(state_manager.get_item('target_path'), temp_image_resolution):
logger.debug(translator.get('copying_image_succeeded'), __name__)
else:
logger.error(translator.get('copying_image_failed'), __name__)
process_manager.end()
return 1
return 0
def process_image() -> ErrorCode:
temp_image_path = get_temp_file_path(state_manager.get_item('target_path'))
target_vision_frames = conditional_get_target_vision_frames(0)
temp_vision_frame = read_static_image(temp_image_path, 'rgba')
temp_vision_frame = process_temp_frame(target_vision_frames, temp_vision_frame, 0)
write_image(temp_image_path, temp_vision_frame)
for processor_module in get_processors_modules(state_manager.get_item('processors')):
processor_module.post_process()
if is_process_stopping():
return 4
return 0
def finalize_image(start_time : float) -> ErrorCode:
output_image_resolution = scale_resolution(detect_image_resolution(state_manager.get_item('target_path')), state_manager.get_item('output_image_scale'))
logger.info(translator.get('finalizing_image').format(resolution = pack_resolution(output_image_resolution)), __name__)
if ffmpeg.finalize_image(state_manager.get_item('target_path'), state_manager.get_item('output_path'), output_image_resolution):
logger.debug(translator.get('finalizing_image_succeeded'), __name__)
else:
logger.warn(translator.get('finalizing_image_skipped'), __name__)
if is_image(state_manager.get_item('output_path')):
logger.info(translator.get('processing_image_succeeded').format(seconds = calculate_end_time(start_time)), __name__)
else:
logger.error(translator.get('processing_image_failed'), __name__)
return 1
return 0
+205
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@@ -0,0 +1,205 @@
from concurrent.futures import ThreadPoolExecutor, as_completed
from typing import Tuple
import cv2
import numpy
from tqdm import tqdm
from facefusion import content_analyser, ffmpeg, logger, process_manager, state_manager, translator, video_manager
from facefusion.common_helper import get_first, get_middle
from facefusion.filesystem import filter_audio_paths, is_video
from facefusion.processors.core import get_processors_modules
from facefusion.temp_helper import move_temp_file, resolve_temp_frame_set
from facefusion.time_helper import calculate_end_time
from facefusion.types import ErrorCode, Resolution, VisionFrame
from facefusion.vision import detect_video_resolution, pack_resolution, read_static_image, read_static_video_frame, restrict_trim_frame, restrict_video_fps, restrict_video_resolution, scale_resolution, select_video_frames, write_image
from facefusion.workflows.core import conditional_get_target_vision_frames, is_process_stopping, process_temp_frame
def analyse_video() -> ErrorCode:
trim_frame_start, trim_frame_end = restrict_trim_frame(state_manager.get_item('target_path'), state_manager.get_item('trim_frame_start'), state_manager.get_item('trim_frame_end'))
if content_analyser.analyse_video(state_manager.get_item('target_path'), trim_frame_start, trim_frame_end):
return 3
return 0
def extract_frames() -> ErrorCode:
trim_frame_start, trim_frame_end = restrict_trim_frame(state_manager.get_item('target_path'), state_manager.get_item('trim_frame_start'), state_manager.get_item('trim_frame_end'))
output_video_resolution = scale_resolution(detect_video_resolution(state_manager.get_item('target_path')), state_manager.get_item('output_video_scale'))
temp_video_resolution = restrict_video_resolution(state_manager.get_item('target_path'), output_video_resolution)
temp_video_fps = restrict_video_fps(state_manager.get_item('target_path'), state_manager.get_item('output_video_fps'))
logger.info(translator.get('extracting_frames').format(resolution=pack_resolution(temp_video_resolution), fps=temp_video_fps), __name__)
if ffmpeg.extract_frames(state_manager.get_item('target_path'), temp_video_resolution, temp_video_fps, trim_frame_start, trim_frame_end):
logger.debug(translator.get('extracting_frames_succeeded'), __name__)
else:
if is_process_stopping():
return 4
logger.error(translator.get('extracting_frames_failed'), __name__)
return 1
return 0
def process_disk_frame(temp_frame_path : str, frame_number : int) -> bool:
target_vision_frames = conditional_get_target_vision_frames(frame_number)
temp_vision_frame = read_static_image(temp_frame_path, 'rgba')
temp_vision_frame = process_temp_frame(target_vision_frames, temp_vision_frame, frame_number)
return write_image(temp_frame_path, temp_vision_frame)
def process_disk_frames() -> ErrorCode:
temp_frame_set = resolve_temp_frame_set(state_manager.get_item('target_path'))
if temp_frame_set:
with tqdm(total = len(temp_frame_set), desc = translator.get('processing'), unit = 'frame', ascii = ' =', disable = state_manager.get_item('log_level') in [ 'warn', 'error' ]) as progress:
progress.set_postfix(execution_providers = state_manager.get_item('execution_providers'))
read_static_video_frame(state_manager.get_item('target_path'), state_manager.get_item('reference_frame_number'))
with ThreadPoolExecutor(max_workers = state_manager.get_item('execution_thread_count')) as executor:
futures = []
for frame_number, temp_frame_path in temp_frame_set.items():
future = executor.submit(process_disk_frame, temp_frame_path, frame_number)
futures.append(future)
for future in as_completed(futures):
if is_process_stopping():
for pending_future in futures:
pending_future.cancel()
if not future.cancelled():
future.result()
progress.update()
for processor_module in get_processors_modules(state_manager.get_item('processors')):
processor_module.post_process()
if is_process_stopping():
return 4
else:
logger.error(translator.get('temp_frames_not_found'), __name__)
return 1
return 0
def process_stream_frame(frame_number : int, temp_video_resolution : Resolution) -> Tuple[int, VisionFrame]:
target_vision_frames = select_video_frames(state_manager.get_item('target_path'), frame_number, state_manager.get_item('target_frame_amount'))
target_vision_frame = get_middle(target_vision_frames)
temp_vision_frame = target_vision_frame.copy()
if not (target_vision_frame.shape[1], target_vision_frame.shape[0]) == temp_video_resolution:
temp_vision_frame = cv2.resize(target_vision_frame, temp_video_resolution)
temp_vision_frame = process_temp_frame(target_vision_frames, temp_vision_frame, frame_number)
if state_manager.get_item('temp_pixel_format') == 'bgra':
temp_vision_frame = cv2.cvtColor(temp_vision_frame, cv2.COLOR_BGR2BGRA)
if state_manager.get_item('temp_pixel_format') == 'bgr24':
temp_vision_frame = temp_vision_frame[:, :, :3]
return frame_number, numpy.ascontiguousarray(temp_vision_frame)
def process_stream_frames() -> ErrorCode:
trim_frame_start, trim_frame_end = restrict_trim_frame(state_manager.get_item('target_path'), state_manager.get_item('trim_frame_start'), state_manager.get_item('trim_frame_end'))
output_video_resolution = scale_resolution(detect_video_resolution(state_manager.get_item('target_path')), state_manager.get_item('output_video_scale'))
temp_video_resolution = restrict_video_resolution(state_manager.get_item('target_path'), output_video_resolution)
temp_video_fps = restrict_video_fps(state_manager.get_item('target_path'), state_manager.get_item('output_video_fps'))
temp_frame_range = range(trim_frame_start, trim_frame_end)
if temp_frame_range:
video_writer = video_manager.get_writer(state_manager.get_item('target_path'), temp_video_fps, temp_video_resolution, output_video_resolution, state_manager.get_item('output_video_fps'))
with tqdm(total = len(temp_frame_range), desc = translator.get('processing'), unit = 'frame', ascii = ' =', disable = state_manager.get_item('log_level') in [ 'warn', 'error' ]) as progress:
progress.set_postfix(execution_providers = state_manager.get_item('execution_providers'))
read_static_video_frame(state_manager.get_item('target_path'), state_manager.get_item('reference_frame_number'))
with ThreadPoolExecutor(max_workers = state_manager.get_item('execution_thread_count')) as executor:
futures = []
for frame_number in temp_frame_range:
future = executor.submit(process_stream_frame, frame_number, temp_video_resolution)
futures.append(future)
for future in futures:
if is_process_stopping():
for pending_future in futures:
pending_future.cancel()
if not future.cancelled():
_, temp_vision_frame = future.result()
video_manager.write_video_frame(video_writer, temp_vision_frame)
progress.update()
if not video_manager.close_video_writer(video_writer):
process_manager.stop()
for processor_module in get_processors_modules(state_manager.get_item('processors')):
processor_module.post_process()
if is_process_stopping():
return 4
else:
logger.error(translator.get('temp_frames_not_found'), __name__)
return 1
return 0
def merge_frames() -> ErrorCode:
trim_frame_start, trim_frame_end = restrict_trim_frame(state_manager.get_item('target_path'), state_manager.get_item('trim_frame_start'), state_manager.get_item('trim_frame_end'))
output_video_resolution = scale_resolution(detect_video_resolution(state_manager.get_item('target_path')), state_manager.get_item('output_video_scale'))
temp_video_fps = restrict_video_fps(state_manager.get_item('target_path'), state_manager.get_item('output_video_fps'))
logger.info(translator.get('merging_video').format(resolution = pack_resolution(output_video_resolution), fps = state_manager.get_item('output_video_fps')), __name__)
if ffmpeg.merge_video(state_manager.get_item('target_path'), temp_video_fps, output_video_resolution, state_manager.get_item('output_video_fps'), trim_frame_start, trim_frame_end):
logger.debug(translator.get('merging_video_succeeded'), __name__)
else:
if is_process_stopping():
return 4
logger.error(translator.get('merging_video_failed'), __name__)
return 1
return 0
def restore_audio() -> ErrorCode:
trim_frame_start, trim_frame_end = restrict_trim_frame(state_manager.get_item('target_path'), state_manager.get_item('trim_frame_start'), state_manager.get_item('trim_frame_end'))
if state_manager.get_item('output_audio_volume') == 0:
logger.info(translator.get('skipping_audio'), __name__)
move_temp_file(state_manager.get_item('target_path'), state_manager.get_item('output_path'))
else:
source_audio_path = get_first(filter_audio_paths(state_manager.get_item('source_paths')))
if source_audio_path:
if ffmpeg.replace_audio(state_manager.get_item('target_path'), source_audio_path, state_manager.get_item('output_path')):
video_manager.clear_video_pool()
logger.debug(translator.get('replacing_audio_succeeded'), __name__)
else:
video_manager.clear_video_pool()
if is_process_stopping():
return 4
logger.warn(translator.get('replacing_audio_skipped'), __name__)
move_temp_file(state_manager.get_item('target_path'), state_manager.get_item('output_path'))
else:
if ffmpeg.restore_audio(state_manager.get_item('target_path'), state_manager.get_item('output_path'), trim_frame_start, trim_frame_end):
video_manager.clear_video_pool()
logger.debug(translator.get('restoring_audio_succeeded'), __name__)
else:
video_manager.clear_video_pool()
if is_process_stopping():
return 4
logger.warn(translator.get('restoring_audio_skipped'), __name__)
move_temp_file(state_manager.get_item('target_path'), state_manager.get_item('output_path'))
return 0
def finalize_video(start_time : float) -> ErrorCode:
if is_video(state_manager.get_item('output_path')):
logger.info(translator.get('processing_video_succeeded').format(seconds = calculate_end_time(start_time)), __name__)
else:
logger.error(translator.get('processing_video_failed'), __name__)
return 1
return 0