Suriyakumarvijayanayagam
e262fc8482
Reported from the first Windows install: the camera feed lags. It did, and not because of the network, the proxy or the webview. The MJPEG stream served _annotated_jpeg - the frame the pipeline had most recently FINISHED with, encoded after detection, quality scoring, tracking and identification had all run on it. On a modest shop PC that is a few frames a second, and every picture was already as old as that processing. It looked like lag because it was lag. On the fast machine it was developed on the pipeline kept up with the stream's own 10 fps cap, which is why nobody here ever saw it. Two more things compounded it. Every processed frame was JPEG-encoded whether or not a viewer existed - CPU spent on precisely the machine short of it. And ffmpeg ran its RTSP demuxer with default buffering, which holds a comfortable queue of frames before handing over the first: half a second to two seconds a live view can never recover. Now the picture and the boxes are decoupled. latest_jpeg_since takes the capture thread's freshest frame at the camera's own rate and draws the boxes from the last processed frame over it - encoded on demand, per request, so a camera nobody watches costs no encode at all. The stream sends a frame only when the camera has a newer one, capped at 15 fps; nothing is sent twice. Boxes older than a second are not drawn, so a stalled pipeline cannot leave one floating over an empty spot. _publish_annotated becomes _remember_tracks: a handful of tuples under the lock, no copy, no encode. ffmpeg gets nobuffer / low_delay / max_delay. Measured on cam2's sub-stream, same machine, ten seconds each: before 99 frames sent, 98 distinct 9.8 new pictures/s after 141 frames sent, 141 distinct 14.0 new pictures/s against a 15 fps camera, with the pipeline still processing 166 of 181 captured frames alongside - and engine CPU DOWN from 90% with no viewer to 62% with one attached. Engine version 1.0.0 -> 1.1.0 so a re-run of setup reinstalls it rather than pip deciding the requirement is already satisfied. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01KGcjxF1cNLcuwc3DAPcnfj
4.9 KiB
4.9 KiB