face-censor / src /main.py
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""" EXAMPLE CODE """
# from models.face_detector import YOLOFaceDetector
# from masking.text import TextCensor
# from masking.emoji import EmojiCensor
# from masking.blur import BlurCensor
# from processors.stream_processor import LiveStreamProcessor
# from processors.processor import MediaProcessor
# def main():
# load_dotenv()
#Initialize detector
# detector = YOLOFaceDetector()
# Using Text Masking
# text_censor = TextCensor(text="HELLO", # The text to draw on faces
# draw_background=True, # Control whether to draw solid background behind text
# background_color="black", # The color of the solid background
# text_color="green", # The color of the text
# font="arial.ttf", # The path to font to use, defaults to 'arial.ttf'
# scale_factor=0.2 # The text size scaling factor
# )
# Using Emoji Masking
# emoji_censor = EmojiCensor(
# emoji="😁", # The emoji you want to use to mask faces
# font="seguiemj.ttf", # The path to the emoji font file, by default uses "seguiemj.ttf"
# scale_factor=1.0 # The emoji size scaling factor in percentage
# )
# Using blur masking
# blur_censor = BlurCensor(
# blur_factor=71 # The strength of the blur effect, defaults to 99
# )
# Create batch media processor, specifying masking method and detector.
# processor = MediaProcessor(detector, blur_censor)
# Process image
# processor.process_image("assets/input.jpg", "assets/output_blur.jpg")
# Process video
# processor.process_video("assets/input.mp4", "assets/output.mp4")
# Create live stream processor, specifying masking method and detector.
#live_processor = LiveStreamProcessor(detector, blur_censor)
# Process RTMP stream.
#live_processor.process_stream(
# source="rtmp://localhost/live/livestream", # I used https://github.com/ossrs/srs for testing
# output_type="rtmp",
# output_dest=f"rtmp://jfk.contribute.live-video.net/app/{os.getenv('STREAM_KEY')}" # Tested on twitch
#)
from ui import FaceCensorUI
if __name__ == "__main__":
ui = FaceCensorUI()
interface = ui.create_ui()
interface.launch(pwa=True, server_name="0.0.0.0")