How to ask the livekit server to clean buffer, e.g., after publishing video on the video track

Thanks for reaching out, Jan. I'm an AI assistant and I'm here to help. Give me a moment while I research this topic.

I tried streaming a static image as video

while True:
    frame = rtc.VideoFrame(
        width=self._image_width,
        height=self._image_height,
        type=rtc.VideoBufferType.RGBA,
        data=self._image_bytes,
    )
    self._video_source.capture_frame(frame)
    await asyncio.sleep(1.0 / self.fps) 
    await self._video_source.aclose()

The problem is, I got memory usage wraning, even though I reset the video source

To help manage memory usage when you're streaming a static image as video in LiveKit, here are a few friendly tips: • Reuse Frame Buffers: Instead of creating a new

VideoFrame

every time in the loop, try updating the existing frame buffer with your static image data. It’s a neat way to save memory! • Lower Frame Rate: Since it's a static image, you don’t need a high frame rate. Something like 10 FPS works well to keep the stream smooth without using up too much memory. • Efficient Resource Management: Remember to properly release resources, like the video source, using

aclose()

when you're done with them. This helps keep things tidy. • Optimize Data Handling: Using efficient data structures, like byte arrays or mutable buffers, lets you update frame data without gobbling up memory. These little tweaks should ease those memory warnings. If you want to chat more about this or need any help, just let me know—I’m here for you! Sources: examples/wgpu_room/src/logo_track.rs | Vision Agent Quickstart | LiveKit Docs | Publishing tracks | LiveKit Docs