Control Video Bandwidth
This demo controls the bandwidth of a live camera stream without rebuilding the pipeline. It changes three things while the stream is running:
videocropreduces the visible frame area before encoding.videorateplus a capsfilter lowers the output FPS.x264encproperties control encoder bitrate and keyframe interval.
The example sends RTP/H.264 over UDP to 127.0.0.1:5600 and exposes a FastAPI
server for runtime control.
Pipeline
The pipeline starts with a fixed camera mode, then applies crop, FPS, encoder, and RTP payload stages:
The named elements are saved after Gst.parse_launch():
Reduce Resolution With videocrop
videocrop does not ask the camera for a new mode. The camera still captures
640x480, and the pipeline crops the center of that frame before encoding.
This is useful when the camera does not support the exact smaller resolution you
want to stream.
For a target size, the controller calculates the crop borders:
Then it applies those values to videocrop:
A 320x240 output from a 640x480 camera frame crops 160 pixels from the
left and right, and 120 pixels from the top and bottom.
Lower FPS With videorate
videorate adapts the buffer cadence. In this demo it is configured with
drop-only=true, so lowering the FPS drops frames instead of duplicating frames
to raise FPS.
The output rate is controlled by the capsfilter after videorate:
For example, setting fps=10 produces:
Lower FPS reduces bandwidth because fewer frames reach the encoder.
Control Encoder Bandwidth
The encoder is the main bandwidth control point. x264enc uses bitrate in
kilobits per second:
The demo starts with:
Use lower bitrate values for constrained links. Use a shorter keyframe interval when the receiver must recover quickly after stream changes, at the cost of more bandwidth.
After changing encoder settings, the controller asks the encoder to produce a fresh keyframe:
GLib.MainContext()
FastAPI handles HTTP requests on the asyncio side. GStreamer owns the pipeline
on a GLib thread. The controller uses GLib.MainContext() and a command queue so
pipeline changes are applied from the GStreamer thread.
Each API request submits a command:
The controller wakes the GLib context and handles queued commands:
This keeps the web server responsive while the pipeline state and element properties remain owned by the GStreamer side.
API
Start the app:
Open the browser UI:
Useful endpoints:
Apply the smaller low-bandwidth profile:
Apply custom stream settings:
Receiver Pipeline
Run this receiver in another terminal:
Measure Bandwidth
The pipeline includes an identity element named bandwidth_meter. A pad probe
counts outgoing RTP bytes over a rolling one-second window:
The /status response reports:
You can also inspect the UDP traffic with iftop:
Demo Code
bandwidth_control.py
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bandwidth_app.py
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videoscale_demo.py
static/bandwidth.html
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