import os import subprocess from collections import deque from concurrent.futures import ThreadPoolExecutor from typing import Deque, Generator, Optional import cv2 import gradio from tqdm import tqdm from facefusion import logger, state_manager, wording from facefusion.audio import create_empty_audio_frame from facefusion.common_helper import is_windows from facefusion.content_analyser import analyse_stream from facefusion.face_analyser import get_average_face, get_many_faces from facefusion.ffmpeg import open_ffmpeg from facefusion.filesystem import filter_image_paths from facefusion.processors.core import get_processors_modules from facefusion.typing import Face, Fps, VisionFrame from facefusion.uis.core import get_ui_component from facefusion.uis.typing import StreamMode, WebcamMode from facefusion.vision import normalize_frame_color, read_static_images, unpack_resolution WEBCAM_CAPTURE : Optional[cv2.VideoCapture] = None WEBCAM_IMAGE : Optional[gradio.Image] = None WEBCAM_START_BUTTON : Optional[gradio.Button] = None WEBCAM_STOP_BUTTON : Optional[gradio.Button] = None def get_webcam_capture() -> Optional[cv2.VideoCapture]: global WEBCAM_CAPTURE if WEBCAM_CAPTURE is None: if is_windows(): webcam_capture = cv2.VideoCapture(0, cv2.CAP_DSHOW) else: webcam_capture = cv2.VideoCapture(0) if webcam_capture and webcam_capture.isOpened(): WEBCAM_CAPTURE = webcam_capture return WEBCAM_CAPTURE def clear_webcam_capture() -> None: global WEBCAM_CAPTURE if WEBCAM_CAPTURE: WEBCAM_CAPTURE.release() WEBCAM_CAPTURE = None def render() -> None: global WEBCAM_IMAGE global WEBCAM_START_BUTTON global WEBCAM_STOP_BUTTON WEBCAM_IMAGE = gradio.Image( label = wording.get('uis.webcam_image') ) WEBCAM_START_BUTTON = gradio.Button( value = wording.get('uis.start_button'), variant = 'primary', size = 'sm' ) WEBCAM_STOP_BUTTON = gradio.Button( value = wording.get('uis.stop_button'), size = 'sm' ) def listen() -> None: 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_mode_radio and webcam_resolution_dropdown and webcam_fps_slider: start_event = WEBCAM_START_BUTTON.click(start, inputs = [ webcam_mode_radio, webcam_resolution_dropdown, webcam_fps_slider ], outputs = WEBCAM_IMAGE) WEBCAM_STOP_BUTTON.click(stop, cancels = start_event) def start(webcam_mode : WebcamMode, webcam_resolution : str, webcam_fps : Fps) -> Generator[VisionFrame, None, None]: state_manager.set_item('face_selector_mode', 'one') state_manager.set_item('face_selector_order', 'large-small') source_image_paths = filter_image_paths(state_manager.get_item('source_paths')) source_frames = read_static_images(source_image_paths) source_faces = get_many_faces(source_frames) source_face = get_average_face(source_faces) 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) webcam_capture = get_webcam_capture() if webcam_capture and webcam_capture.isOpened(): webcam_capture.set(cv2.CAP_PROP_FOURCC, cv2.VideoWriter_fourcc(*'MJPG')) #type:ignore[attr-defined] webcam_capture.set(cv2.CAP_PROP_FRAME_WIDTH, webcam_width) webcam_capture.set(cv2.CAP_PROP_FRAME_HEIGHT, webcam_height) webcam_capture.set(cv2.CAP_PROP_FPS, webcam_fps) for capture_frame in multi_process_capture(source_face, webcam_capture, webcam_fps): if webcam_mode == 'inline': yield normalize_frame_color(capture_frame) else: try: stream.stdin.write(capture_frame.tobytes()) except Exception: clear_webcam_capture() yield None def multi_process_capture(source_face : Face, webcam_capture : cv2.VideoCapture, webcam_fps : Fps) -> Generator[VisionFrame, None, None]: deque_capture_frames: Deque[VisionFrame] = deque() with tqdm(desc = wording.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'), 'execution_thread_count': state_manager.get_item('execution_thread_count') }) with ThreadPoolExecutor(max_workers = state_manager.get_item('execution_thread_count')) as executor: futures = [] while webcam_capture and webcam_capture.isOpened(): _, capture_frame = webcam_capture.read() if analyse_stream(capture_frame, webcam_fps): return future = executor.submit(process_stream_frame, source_face, capture_frame) futures.append(future) for future_done in [ future for future in futures if future.done() ]: capture_frame = future_done.result() deque_capture_frames.append(capture_frame) futures.remove(future_done) while deque_capture_frames: progress.update() yield deque_capture_frames.popleft() def stop() -> gradio.Image: clear_webcam_capture() return gradio.Image(value = None) def process_stream_frame(source_face : Face, target_vision_frame : VisionFrame) -> VisionFrame: source_audio_frame = create_empty_audio_frame() for processor_module in get_processors_modules(state_manager.get_item('processors')): logger.disable() if processor_module.pre_process('stream'): logger.enable() target_vision_frame = processor_module.process_frame( { 'source_face': source_face, 'source_audio_frame': source_audio_frame, 'target_vision_frame': target_vision_frame }) return target_vision_frame def open_stream(stream_mode : StreamMode, stream_resolution : str, stream_fps : Fps) -> subprocess.Popen[bytes]: commands = [ '-f', 'rawvideo', '-pix_fmt', 'bgr24', '-s', stream_resolution, '-r', str(stream_fps), '-i', '-'] if stream_mode == 'udp': commands.extend([ '-b:v', '2000k', '-f', 'mpegts', 'udp://localhost:27000?pkt_size=1316' ]) if stream_mode == 'v4l2': try: device_name = os.listdir('/sys/devices/virtual/video4linux')[0] if device_name: commands.extend([ '-f', 'v4l2', '/dev/' + device_name ]) except FileNotFoundError: logger.error(wording.get('stream_not_loaded').format(stream_mode = stream_mode), __name__.upper()) return open_ffmpeg(commands)