Please provide complete information as applicable to your setup.
• Hardware Platform (Jetson / GPU) : dGPU RTX 6000 Ada
• DeepStream Version : 6.3
• JetPack Version (valid for Jetson only)
• TensorRT Version
• NVIDIA GPU Driver Version (valid for GPU only) : 570.172.08
• Issue Type( questions, new requirements, bugs) : questions
• How to reproduce the issue ? (This is for bugs. Including which sample app is using, the configuration files content, the command line used and other details for reproducing)
Using deepstream-app with following config:
```
[source0]
enable = 1
type = 2
uri = file:///workspace/tracker/road.mp4
drop-frame-interval = 5
num-sources = 1
gpu-id = 0
cudadec-memtype = 0
rtsp-reconnect-interval-sec = 20
rtsp-reconnect-attempts = -1
camera-id = 1
[sink0]
enable = 1
type = 3
container=1
codec = 1
enc-type = 1
sync = 1
bitrate = 4000000
profile = 0
output-file = /workspace/tracker/results/road.mp4
```
• Requirement details( This is for new requirement. Including the module name-for which plugin or for which sample application, the function description)
Hello,
On our server (NVIDIA dGPU, not Jetson), the drop-frame-interval property doesn’t seem to have any effect.
The nvv4l2decoder element exposes this property, but we’re not sure it’s actually being used.
We exported the GStreamer pipeline graph to verify which decoder is in use:
export GST_DEBUG_DUMP_DOT_DIR=/path/to/dot/file
sudo apt install graphviz
dot -Tpng pipeline.dot -o pipeline.png
The resulting graph shows that avdec_h264 is being used, not nvv4l2decoder. However, avdec_h264 does not have the drop-frame-interval property. Inspecting nvv4l2decoder gives: NVIDIA v4l2 video decoder which suggests this decoder is V4L2-based and Jetson-specific.
Why does the documentation state that drop-frame-interval is supported on dGPU, while the only element providing it (nvv4l2decoder) seems to be Jetson-specific, and the actual decoder in use on dGPU (avdec_h264) doesn’t support it?
