ERROR: from element /GstPipeline:pipeline0/GstNvStreamMux:mux: Input buffer number of surfaces (0) must be equal to mux->num_surfaces_per_frame (1)

Please provide complete information as applicable to your setup.

• Hardware Platform (Jetson / GPU)
JetsonNano
• DeepStream Version
6.0.1
• JetPack Version (valid for Jetson only)
4.6.1
• TensorRT Version
8.2.1.8
• NVIDIA GPU Driver Version (valid for GPU only)
• Issue Type( questions, new requirements, bugs)
question
• 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)
when running Yolo3 samples with ZED 2i, an error is generated " ERROR: from element /GstPipeline:pipeline0/GstNvStreamMux:mux: Input buffer number of surfaces (0) must be equal to mux->num_surfaces_per_frame (1)
Set nvstreammux property num-surfaces-per-frame appropriately"
Running cmd : gst-launch-1.0 zedsrc stream-type=0 ! videoconvert ! ‘video/x-raw,format=(string)RGBA’ ! nvvidconv ! ‘video/x-raw(memory:NVMM),format=(string)NV12,width=1280,height=720’ ! nvvidconv ! mux.sink_0 nvstreammux live-source=1 name=mux batch-size=1 width=1280 height=720 ! nvinfer config-file-path=/opt/nvidia/deepstream/deepstream-6.0/sources/objectDetector_Yolo/config_infer_primary_yoloV3.txt ! nvvideoconvert ! nvdsosd ! nvegltransform ! nveglglessink sync=0
git link : valdivj/gstream_Deep: ZED2 with Nvidia Deepstream (github.com)
• Requirement details( This is for new requirement. Including the module name-for which plugin or for which sample application, the function description)

Please refer to DeepStream SDK FAQ - Intelligent Video Analytics / DeepStream SDK - NVIDIA Developer Forums

after follow your link, still no answer for my ERROR: from element /GstPipeline:pipeline0/GstNvStreamMux:mux: Input buffer number of surfaces (0) must be equal to mux->num_surfaces_per_frame (1)

The link tells you that nvvidconv is different to nvvideoconvert. nvvidconv is not deepstream plugin, please do not use it. Please read the link.

thank you, it works well