Please provide complete information as applicable to your setup.
• Hardware Platform (Jetson / GPU) GPU
• DeepStream Version 5.0dp
• JetPack Version (valid for Jetson only)
• TensorRT Version 18.104.22.168
• NVIDIA GPU Driver Version (valid for GPU only)
• Issue Type( questions, new requirements, bugs)
• 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) Not sure you can reproduce.
• Requirement details( This is for new requirement. Including the module name-for which plugin or for which sample application, the function description)
My server (dGPU) deployed 4 deepstream-apps, which base on deepstream-test5-app, each app receives 1 rtsp input stream, and outputs 1 RTSP streams.
The weird thing is, when I use VLC player to display one of the output stream, the frames seems frozed, and switch back and forth to other IPCamera stream! Here’s the video: app output stream
You can see that the timestamps doesn’t changed, and suddenly switch to other ipcamera.
If I display the origin input stream from IPCamera via VLC, the video is normal and won’t switch to other camera. Check this video: Input stream
So the problem is, if I display the input stream directly, everything’s fine, but if I display the stream output by the app, the frame will be frozed and switch back and forth to other camera.
I’ve tried some debugging, if I just launch ONLY ONE app, there’s no such problem; if I launch 4 apps, and each app’s sink is set to EGLSink instead of rtsp sink, there’s no such problem too.
Here’s one of my app’s configuration:
[application] enable-perf-measurement = 1 perf-measurement-interval-sec = 5 [tiled-display] enable = 0 rows = 2 columns = 2 width = 1920 height = 1080 gpu-id = 0 nvbuf-memory-type = 0 [source0] enable = 1 type = 4 uri = rtsp://admin:email@example.com:554/h264/ch1/main/av_stream num-sources = 1 gpu-id = 0 cudadec-memtype = 0 smart-record = 1 smart-rec-video-cache = 30 smart-rec-duration = 5 smart-rec-start-time = 3 smart-rec-interval = 5 smart-rec-dir-path = ./capture [sink0] enable = 0 type = 1 sync = 0 source-id = 0 gpu-id = 0 nvbuf-memory-type = 0 [sink1] enable = 1 type = 4 codec = 1 enc-type = 0 sync = 0 qos = 0 bitrate = 4000000 profile = 0 rtsp-port = 8554 udp-port = 5400 [osd] enable = 1 gpu-id = 0 border-width = 1 text-size = 15 text-color = 1;1;1;1; text-bg-color = 0.3;0.3;0.3;1 font = Arial show-clock = 0 clock-x-offset = 800 clock-y-offset = 820 clock-text-size = 12 clock-color = 1;0;0;0 nvbuf-memory-type = 0 [streammux] gpu-id = 0 live-source = 0 batch-size = 4 batched-push-timeout = 40000 width = 1920 height = 1080 enable-padding = 0 nvbuf-memory-type = 0 [primary-gie] enable = 1 gpu-id = 0 batch-size = 1 network-mode = 1 ......
I’m 100% sure that each app use different rtsp port, and all apps are running in docker container. Each app receives different rtsp stream.
Please give me some help, because it happends in our customer’s production environment, that’s fatal problem to them. Thanks everyone.