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