Next (#544)
* Modernize CI * Modernize CI * Modernize CI * Implement dynamic config (#518) * Implement dynamic config * Fix apply config * Move config to general * Move config to general * Move config to general * Add Windows installer * Add --open-browser * Add Windows installer part2 * Use non-commercial license for the installer * Fix create environment in installer * Fix openvino for installer * Fix conda for installer * Fix conda for installer, Remove python and pip as it is part of conda * Improve installer - guess the path * Fix CI * Add missing accept-source-agreements to installer * Install WinGet * Improve WinGet installation steps * Use absolute path for winget * More installer polishing * Add final page to installer, disable version check for Gradio * Remove finish page again * Use NEXT for metadata * Support for /S mode * Use winget-less approach * Improve Conda uninstall * Improve code using platform helpers (#529) * Update dependencies * Feat/fix windows unicode paths (#531) * Fix the Windows unicode path dilemma * Update dependencies * Fix the Windows unicode path dilemma part2 * Remove conda environment on uninstall * Fix uninstall command * Install apps for local user only * Add ultra sharp * Add clear reality * Update README and FUNDING * Update FUNDING.yml * Prevent preview of large videos in Gradio (#540) * Fix order * Refactor temporary file management, Use temporary file for image processing (#542) * Allow webm on target component * Reduce mosaic effect for frame processors * clear static faces on trim frame changes * Fix trim frame component * Downgrade openvino dependency * Prepare next release * Move get_short_path to filesystem, Add/Improve some testing * Prepare installer, Prevent infinite loop for sanitize_path_for_windows * Introduce execution device id * Introduce execution device id * Seems like device id can be a string * Seems like device id can be a string * Make Intel Arc work with OpenVINOExecution * Use latest Git * Update wording * Fix create_float_range * Update preview * Fix Git link
This commit is contained in:
@@ -5,8 +5,11 @@ import facefusion.globals
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from facefusion import wording
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from facefusion.face_store import clear_static_faces, clear_reference_faces
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from facefusion.uis.typing import File
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from facefusion.filesystem import is_image, is_video
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from facefusion.filesystem import get_file_size, is_image, is_video
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from facefusion.uis.core import register_ui_component
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from facefusion.vision import get_video_frame, normalize_frame_color
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FILE_SIZE_LIMIT = 512 * 1024 * 1024
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TARGET_FILE : Optional[gradio.File] = None
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TARGET_IMAGE : Optional[gradio.Image] = None
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@@ -28,20 +31,34 @@ def render() -> None:
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'.png',
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'.jpg',
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'.webp',
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'.webm',
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'.mp4'
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],
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value = facefusion.globals.target_path if is_target_image or is_target_video else None
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)
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TARGET_IMAGE = gradio.Image(
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value = TARGET_FILE.value['name'] if is_target_image else None,
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visible = is_target_image,
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show_label = False
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)
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TARGET_VIDEO = gradio.Video(
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value = TARGET_FILE.value['name'] if is_target_video else None,
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visible = is_target_video,
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show_label = False
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)
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target_image_args =\
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{
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'show_label': False,
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'visible': False
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}
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target_video_args =\
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{
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'show_label': False,
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'visible': False
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}
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if is_target_image:
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target_image_args['value'] = TARGET_FILE.value['name']
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target_image_args['visible'] = True
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if is_target_video:
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if get_file_size(facefusion.globals.target_path) > FILE_SIZE_LIMIT:
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preview_vision_frame = normalize_frame_color(get_video_frame(facefusion.globals.target_path))
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target_image_args['value'] = preview_vision_frame
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target_image_args['visible'] = True
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else:
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target_video_args['value'] = TARGET_FILE.value['name']
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target_video_args['visible'] = True
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TARGET_IMAGE = gradio.Image(**target_image_args)
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TARGET_VIDEO = gradio.Video(**target_video_args)
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register_ui_component('target_image', TARGET_IMAGE)
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register_ui_component('target_video', TARGET_VIDEO)
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@@ -58,6 +75,9 @@ def update(file : File) -> Tuple[gradio.Image, gradio.Video]:
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return gradio.Image(value = file.name, visible = True), gradio.Video(value = None, visible = False)
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if file and is_video(file.name):
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facefusion.globals.target_path = file.name
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if get_file_size(file.name) > FILE_SIZE_LIMIT:
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preview_vision_frame = normalize_frame_color(get_video_frame(file.name))
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return gradio.Image(value = preview_vision_frame, visible = True), gradio.Video(value = None, visible = False)
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return gradio.Image(value = None, visible = False), gradio.Video(value = file.name, visible = True)
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facefusion.globals.target_path = None
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return gradio.Image(value = None, visible = False), gradio.Video(value = None, visible = False)
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@@ -3,9 +3,10 @@ import gradio
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import facefusion.globals
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from facefusion import wording
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from facefusion.face_store import clear_static_faces
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from facefusion.vision import count_video_frame_total
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from facefusion.filesystem import is_video
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from facefusion.uis.core import get_ui_component, register_ui_component
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from facefusion.uis.core import get_ui_components, register_ui_component
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TRIM_FRAME_START_SLIDER : Optional[gradio.Slider] = None
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TRIM_FRAME_END_SLIDER : Optional[gradio.Slider] = None
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@@ -49,10 +50,13 @@ def render() -> None:
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def listen() -> None:
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TRIM_FRAME_START_SLIDER.release(update_trim_frame_start, inputs = TRIM_FRAME_START_SLIDER)
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TRIM_FRAME_END_SLIDER.release(update_trim_frame_end, inputs = TRIM_FRAME_END_SLIDER)
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target_video = get_ui_component('target_video')
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if target_video:
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for ui_component in get_ui_components(
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[
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'target_image',
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'target_video'
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]):
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for method in [ 'upload', 'change', 'clear' ]:
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getattr(target_video, method)(remote_update, outputs = [ TRIM_FRAME_START_SLIDER, TRIM_FRAME_END_SLIDER ])
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getattr(ui_component, method)(remote_update, outputs = [ TRIM_FRAME_START_SLIDER, TRIM_FRAME_END_SLIDER ])
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def remote_update() -> Tuple[gradio.Slider, gradio.Slider]:
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@@ -65,9 +69,11 @@ def remote_update() -> Tuple[gradio.Slider, gradio.Slider]:
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def update_trim_frame_start(trim_frame_start : int) -> None:
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clear_static_faces()
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facefusion.globals.trim_frame_start = trim_frame_start if trim_frame_start > 0 else None
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def update_trim_frame_end(trim_frame_end : int) -> None:
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clear_static_faces()
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video_frame_total = count_video_frame_total(facefusion.globals.target_path)
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facefusion.globals.trim_frame_end = trim_frame_end if trim_frame_end < video_frame_total else None
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@@ -1,6 +1,5 @@
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from typing import Optional, Generator, Deque
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import os
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import platform
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import subprocess
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import cv2
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import gradio
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@@ -12,6 +11,7 @@ from tqdm import tqdm
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import facefusion.globals
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from facefusion import logger, wording
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from facefusion.audio import create_empty_audio_frame
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from facefusion.common_helper import is_windows
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from facefusion.content_analyser import analyse_stream
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from facefusion.filesystem import filter_image_paths
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from facefusion.typing import VisionFrame, Face, Fps
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@@ -32,7 +32,7 @@ def get_webcam_capture() -> Optional[cv2.VideoCapture]:
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global WEBCAM_CAPTURE
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if WEBCAM_CAPTURE is None:
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if platform.system().lower() == 'windows':
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if is_windows():
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webcam_capture = cv2.VideoCapture(0, cv2.CAP_DSHOW)
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else:
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webcam_capture = cv2.VideoCapture(0)
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@@ -98,11 +98,11 @@ def start(webcam_mode : WebcamMode, webcam_resolution : str, webcam_fps : Fps) -
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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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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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webcam_capture = get_webcam_capture()
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if webcam_capture and webcam_capture.isOpened():
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webcam_capture.set(cv2.CAP_PROP_FOURCC, cv2.VideoWriter_fourcc(*'MJPG')) # type: ignore[attr-defined]
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webcam_capture.set(cv2.CAP_PROP_FOURCC, cv2.VideoWriter_fourcc(*'MJPG')) #type:ignore[attr-defined]
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webcam_capture.set(cv2.CAP_PROP_FRAME_WIDTH, webcam_width)
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webcam_capture.set(cv2.CAP_PROP_FRAME_HEIGHT, webcam_height)
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webcam_capture.set(cv2.CAP_PROP_FPS, webcam_fps)
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