Files
facefusion/facefusion/uis/components/webcam.py
T
b60ea40d26 3.8.0 (#1212)
* mark as next

* unify the dependency checks in pre_check and add ffprobe (#1181)

* drop keep_temp and the common options component (#1180)

Claude-Session: https://claude.ai/code/session_01Tbcd6VWCiU4BQP1gywPr2a

Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>

* introduce ffprobe and ffprobe_builder (#1182)

* introduce ffprobe and ffprobe_builder

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Tbcd6VWCiU4BQP1gywPr2a

* introduce ffprobe and ffprobe_builder

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Tbcd6VWCiU4BQP1gywPr2a

---------

Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>

* probe video metadata via ffprobe in vision (#1184)

* probe video metadata via ffprobe in vision

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Tbcd6VWCiU4BQP1gywPr2a

* probe video metadata via ffprobe in vision

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Tbcd6VWCiU4BQP1gywPr2a

---------

Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>

* adopt the workflow task vocabulary from next major (#1185)

Claude-Session: https://claude.ai/code/session_01Tbcd6VWCiU4BQP1gywPr2a

Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>

* introduce workflow-mode and workflow-strategy like next major (#1187)

Claude-Session: https://claude.ai/code/session_01Tbcd6VWCiU4BQP1gywPr2a

Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>

* restrict hdr color transfer and tag the merge output as bt709 (#1188)

* restrict hdr color transfer and tag the merge output as bt709

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Tbcd6VWCiU4BQP1gywPr2a

* restrict hdr color transfer and tag the merge output as bt709

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Tbcd6VWCiU4BQP1gywPr2a

* full video migration

* compose the hdr fixture via the builder chain

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Tbcd6VWCiU4BQP1gywPr2a

* compose the test fixtures via the builder and run_ffmpeg

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Tbcd6VWCiU4BQP1gywPr2a

---------

Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>

* compose every test fixture via the builder and run_ffmpeg (#1189)

* compose every test fixture via the builder and run_ffmpeg

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Tbcd6VWCiU4BQP1gywPr2a

* use loops in tests for ffmpeg stuff

---------

Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>

* New Video Manager (#1191)

* tiny adjustment for tests

* address the review on the video manager

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Tbcd6VWCiU4BQP1gywPr2a

* introduce the stream strategy for the video workflow (#1192)

* introduce the stream strategy for the video workflow

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Tbcd6VWCiU4BQP1gywPr2a

* address the review on the stream strategy

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Tbcd6VWCiU4BQP1gywPr2a

---------

Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>

* annotate the changes for review

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Tbcd6VWCiU4BQP1gywPr2a

* annotate the new tests for review

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Tbcd6VWCiU4BQP1gywPr2a

* match the temp pixel format help to the locale style

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Tbcd6VWCiU4BQP1gywPr2a

* question the set_input_seek naming

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Tbcd6VWCiU4BQP1gywPr2a

* question the reader and writer keys

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Tbcd6VWCiU4BQP1gywPr2a

* drop the review annotations from the encoder mapping tests

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Tbcd6VWCiU4BQP1gywPr2a

* drop the review annotations from the thread count tests

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Tbcd6VWCiU4BQP1gywPr2a

* drop the review annotations from the ui files

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Tbcd6VWCiU4BQP1gywPr2a

* capture the open review questions as annotations

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Tbcd6VWCiU4BQP1gywPr2a

* drop the settled annotations from the types

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Tbcd6VWCiU4BQP1gywPr2a

---------

Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>

* switch to ffmpeg.style for audio.py

* remove todos that were never needed

* fix for ffmpeg7

* Add frame_store module (#1194)

* add frame_store module

* rename and change tests

* rename and update tests

* route window read through frame_store (#1196)

* route window read through frame_store

* update proper id

* restore todos

* restore todos

* go v4 style for workflow (#1197)

* go v4 style for workflow

* remove some todos

* route chunk read through frame_store (#1198)

* vision integration

* Deleted read_video_chunk + read_static_video_chunk

* margin decouple (#1199)

* fix windows CI fail (#1200)

* Cleanup Part1 (#1201)

* remove some todos, improve video manager, simplify ffmpeg commands and more

* do more

* remove thread count for filters

* Cleanup Part 2 (#1202)

* tons of renaming

* tons of renaming

* multi reader approach

* bring tests to an okay-ish state

* bring drain back

* improve read_video_frame speed

* rename method

* move variables

* seek video reader only when trim frame start is larger 0

* make stream the default

* Cleanup/part 3 (#1203)

* remove todo

* sort out workflow, to match upcoming v4

* remove look ahead

* remove core namespace again

* Revamp execution provider overrides/adjustments (#1206)

* Split provider hooks into override/adjust with cached CoreML base

Replace the single resolve_inference_providers processor hook with two:
override_inference_providers (full replacement) and adjust_inference_providers
(merge options onto the base providers built by create_inference_providers).
This lets CoreML processors inherit ModelCacheDirectory + SpecializationStrategy
from the base while layering ModelFormat/MLComputeUnits on top.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01HTQCZiYjJyUX11bDpbRSiB

* fix caching for execution provider by having override and adjust ways

* fix caching for execution provider by having override and adjust ways

* fix lint

* use proper pytest fixtures

---------

Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

* fix update preview bug (#1205)

* fix update preview bug

* fix update preview bug

* remove guard

* add is_vision_frame

* Restrict the preview frame slider and the reader seek to the last frame index (#1207)

* fix index bug

* fix rounding bug

* avoid tobytes copy (#1208)

* beautify tests

* hide ffmpeg warnings

* simplify process_stream_frame

* Use is vision frame everywhere (#1210)

* use is_vision_frame everywhere

* fix hash

* fix lint

* fix hash creation in face store

* that model does not exist

* update workflow ffmpeg

* guard workflow (#1211)

* bump version and dependencies

* Update preview

* switch workflow strategy to disk|memory

* update preview

* update preview

* fix wording

* last minute change workflow position

* adjust wording

---------

Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
Co-authored-by: Harisreedhar <46858047+harisreedhar@users.noreply.github.com>
Co-authored-by: harisreedhar <h4harisreedhar.s.s@gmail.com>
2026-07-30 22:25:09 +02:00

117 lines
4.4 KiB
Python

from typing import Iterator, List, Optional, Tuple
import cv2
import gradio
from facefusion import state_manager, translator
from facefusion.camera_manager import clear_camera_pool, get_local_camera_capture
from facefusion.filesystem import has_image
from facefusion.streamer import multi_process_capture, open_stream
from facefusion.types import Fps, VisionFrame, WebcamMode
from facefusion.uis.core import get_ui_component
from facefusion.uis.types import File
from facefusion.vision import fit_cover_frame, unpack_resolution
SOURCE_FILE : Optional[gradio.File] = None
WEBCAM_IMAGE : Optional[gradio.Image] = None
WEBCAM_START_BUTTON : Optional[gradio.Button] = None
WEBCAM_STOP_BUTTON : Optional[gradio.Button] = None
def render() -> None:
global SOURCE_FILE
global WEBCAM_IMAGE
global WEBCAM_START_BUTTON
global WEBCAM_STOP_BUTTON
has_source_image = has_image(state_manager.get_item('source_paths'))
SOURCE_FILE = gradio.File(
label = translator.get('uis.source_file'),
file_count = 'multiple',
value = state_manager.get_item('source_paths') if has_source_image else None
)
WEBCAM_IMAGE = gradio.Image(
label = translator.get('uis.webcam_image'),
format = 'jpeg',
visible = False
)
WEBCAM_START_BUTTON = gradio.Button(
value = translator.get('uis.start_button'),
variant = 'primary',
size = 'sm'
)
WEBCAM_STOP_BUTTON = gradio.Button(
value = translator.get('uis.stop_button'),
size = 'sm',
visible = False
)
def listen() -> None:
SOURCE_FILE.change(update_source, inputs = SOURCE_FILE, outputs = SOURCE_FILE)
webcam_device_id_dropdown = get_ui_component('webcam_device_id_dropdown')
webcam_mode_radio = get_ui_component('webcam_mode_radio')
webcam_resolution_dropdown = get_ui_component('webcam_resolution_dropdown')
webcam_fps_slider = get_ui_component('webcam_fps_slider')
if webcam_device_id_dropdown and webcam_mode_radio and webcam_resolution_dropdown and webcam_fps_slider:
WEBCAM_START_BUTTON.click(pre_start, outputs = [ SOURCE_FILE, WEBCAM_IMAGE, WEBCAM_START_BUTTON, WEBCAM_STOP_BUTTON ])
start_event = WEBCAM_START_BUTTON.click(start, inputs = [ webcam_device_id_dropdown, webcam_mode_radio, webcam_resolution_dropdown, webcam_fps_slider ], outputs = WEBCAM_IMAGE)
start_event.then(pre_stop)
WEBCAM_STOP_BUTTON.click(stop, cancels = start_event, outputs = WEBCAM_IMAGE)
WEBCAM_STOP_BUTTON.click(pre_stop, outputs = [ SOURCE_FILE, WEBCAM_IMAGE, WEBCAM_START_BUTTON, WEBCAM_STOP_BUTTON ])
def update_source(files : List[File]) -> gradio.File:
file_names = [ file.name for file in files ] if files else None
has_source_image = has_image(file_names)
if has_source_image:
state_manager.set_item('source_paths', file_names)
return gradio.File(value = file_names)
state_manager.clear_item('source_paths')
return gradio.File(value = None)
def pre_start() -> Tuple[gradio.File, gradio.Image, gradio.Button, gradio.Button]:
return gradio.File(visible = False), gradio.Image(visible = True), gradio.Button(visible = False), gradio.Button(visible = True)
def pre_stop() -> Tuple[gradio.File, gradio.Image, gradio.Button, gradio.Button]:
return gradio.File(visible = True), gradio.Image(visible = False), gradio.Button(visible = True), gradio.Button(visible = False)
def start(webcam_device_id : int, webcam_mode : WebcamMode, webcam_resolution : str, webcam_fps : Fps) -> Iterator[VisionFrame]:
state_manager.init_item('face_selector_mode', 'one')
state_manager.sync_state()
camera_capture = get_local_camera_capture(webcam_device_id)
stream = None
if webcam_mode in [ 'udp', 'v4l2' ]:
stream = open_stream(webcam_mode, webcam_resolution, webcam_fps) #type:ignore[arg-type]
webcam_width, webcam_height = unpack_resolution(webcam_resolution)
if camera_capture and camera_capture.isOpened():
camera_capture.set(cv2.CAP_PROP_FRAME_WIDTH, webcam_width)
camera_capture.set(cv2.CAP_PROP_FRAME_HEIGHT, webcam_height)
camera_capture.set(cv2.CAP_PROP_FPS, webcam_fps)
for capture_vision_frame in multi_process_capture(camera_capture, webcam_fps):
capture_vision_frame = cv2.cvtColor(capture_vision_frame, cv2.COLOR_BGR2RGB)
capture_vision_frame = fit_cover_frame(capture_vision_frame, (webcam_width, webcam_height))
if webcam_mode == 'inline':
yield capture_vision_frame
if webcam_mode in [ 'udp', 'v4l2' ]:
try:
stream.stdin.write(capture_vision_frame.data)
except Exception:
pass
def stop() -> gradio.Image:
clear_camera_pool()
return gradio.Image(value = None)