DeepStream SDK on Multiple cameras

[kevsernur.erginsu]

Hello,

I want to use DeepStream SDK. I have about 50 IP cameras and I need to make detection on them. I will probably use same detection model on them but what I will do with the detection result is depend on the area rules. So I need to get all bbox for all ip cameras seperately.

I’ve seen deepstream_python_apps/apps/deepstream-test3 at master · NVIDIA-AI-IOT/deepstream_python_apps · GitHub but I couldn’t be sure this is what I want.

What would be the best way to do this, what plugins I should use an which order? This is a bit confusing.

[yingliu]

Deepstream_test3 is an example of using multiple sources as input, the pipeline is the same as the pipeline in deepstream_test1).

@kevsernur.erginsu

What would be the best way to do this, what plugins I should use an which order?

Please be more specific on the question about plugin&order.

[kevsernur.erginsu]

The plugins I am talking about are these. GStreamer Plugin Overview — DeepStream 6.2 Release documentation

Here is an example for of a pipeline. There is an order how to use plugins.

gst-launch-1.0 filesrc location = sample_1080p_h264.mp4 ! decodebin ! m.sink_0
filesrc location = sample_1080p_h264.mp4 ! decodebin ! m.sink_1
filesrc location = sample_1080p_h264.mp4 ! decodebin ! m.sink_2
filesrc location = sample_1080p_h264.mp4 ! decodebin ! m.sink_3
nvstreammux name=m width=1920 height=1080 batch-size=4 batched-push-timeout=40000 !
queue ! nvinfer config-file-path= batch-size=4 !
queue ! nvtracker ll-lib-file= !
nvstreamdemux name=d
d.src_0 ! queue ! nvvideoconvert ! nvdsosd ! nveglglessink
d.src_1 ! queue ! nvvideoconvert ! nvdsosd ! nveglglessink
d.src_2 ! queue ! nvvideoconvert ! nvdsosd ! nveglglessink
d.src_3 ! queue ! nvvideoconvert ! nvdsosd ! nveglglessink

[fanzh]

Please provide complete information as applicable to your setup.
• Hardware Platform (Jetson / GPU)
• DeepStream Version
• JetPack Version (valid for Jetson only)
• TensorRT Version
• 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)
• Requirement details( This is for new requirement. Including the module name-for which plugin or for which sample application, the function description)