Please provide complete information as applicable to your setup.
**• Hardware Platform (Jetson / GPU) : None
**• DeepStream Version: 6.0 or later
**• JetPack Version (valid for Jetson only) : None
**• TensorRT Version : None
**• NVIDIA GPU Driver Version (valid for GPU only) : None
**• 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) : None
**• Requirement details( This is for new requirement. Including the module name-for which plugin or for which sample application, the function description) : None
Gst-nvdspreprocess can be used for multiple input model?
Or would it only work for models with a single input?
How can I implement a multiple-input model if I can only use Gst-nvdspreprocess for a single-input model? (using Gst-nvdsvideotemplate is the only way?)
Do you mean the model with multiple input layers?
Yes. e.g., Gaze Estimation | NVIDIA NGC
Yes, it can. You need to implement the cuatomized tensor meta part by yourself.
For Gaze Estimation, we already have a sample with nvdsvideotemplate . deepstream_tao_apps/apps/tao_others/deepstream-gaze-app at master · NVIDIA-AI-IOT/deepstream_tao_apps · GitHub
What exactly would the “cuatomized tensor meta part” code look like?
I have read through the nvdspreprocess documentation but could not figure it out.
Do you have an example code (for Gst-nvdspreprocess + multiple-input model)?
nvdspreprocess source code is in /opt/nvidia/deepstream/sources/gst-plugins/gst-nvdspreprocess
gst-nvinfer source code is in /opt/nvidia/deepstream/sources/gst-plugins/gst-nvinfer and
You need to customize the function by yourself.
This topic was automatically closed 14 days after the last reply. New replies are no longer allowed.