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
DeepStream 6.0’s cvcore_libs headers are available but I cannot find source codes.
It they available?
my background :
As far as I know, inference of non-regular (multiple inputs, non-chw/hwc) input models can be implemented by gst-nvdspreprocess or gst-nvdsvideotemplate.
I want to know whether it is practically possible to implement non-regular input inference by nvdsvideotemplate by myself.
gazenet example (
deepstream_tao_apps/apps/tao_others/deepstream-gaze-app/gazeinfer_impl at master · NVIDIA-AI-IOT/deepstream_tao_apps · GitHub ) uses nvdsvideotemplate+customlib and the customlib uses a GazeNet class which is implemented in cvcore_libs. I would not able to implement my custom inference by nvdsvideotemplate if the source code examples of cvcore_libs are not available.