Please provide complete information as applicable to your setup
• Hardware Platform (Jetson / GPU)
x86-64 Ubuntu 20.04 LTS machine with Geforce GTX 3060 • DeepStream Version
6.1 • TensorRT Version
8.2.5.1 • NVIDIA GPU Driver Version (valid for GPU only)
515.48.07 • Issue Type( questions, new requirements, bugs)
I have several camera, and I want to push the stream of them to the local or cloud singly, the example seems only able to push one stream or all of them together, is there a way to push the stream of several cameras to the local or cloud ,which I can use to handle the stream singly
what does that mean about “is there a way to push the stream of several cameras to the local or cloud”? deepstream can process one stream or many streams, please refer to sample deepstream-test3.
deepstream has an example to show how to push inference dstream using sink component, but it only push stream of one or streams of all cameras together to cloud, but I want to get the separate inference stream to push to the cloud.
Yes,I mean how to push inference results to cloud server, for example source30_1080p_dec_infer-resnet_tiled_display_int8.txt, enable sink2 and choose type=4 RTSPStreaming
it only push stream of one or streams of all cameras together to cloud server, but I want to get the separate inference stream to push to the cloud server.
what if I only want to push inference results to localhost, for example rtsp://localhost:8554/ds-test, and every camera has an unique rtsp address, what should I do?
I have several camera, and I want to get camera 0 inference result by set source-id =0 of sink1, get camera 1 inference result by set source-id =1 of sink2,but it did not work, how can I get different inference result through different rtsp-port?
After I set enable=0 in tiled-display group, it works,and I can get camera1 inference result by setting source-id=1 in sink group. if I set enable=1 in tiled-display group, is the whole tiled-display image seems as source-id 0,and there is no source-id 1?