Hi Team, Here are the results from the December 2022 license scan of the NNstreamer project. The scan was performed using the Linux Foundation Fossology server. Licenses and copyrights were

I do not aware of object tracking application; however, in general, as in other applications, the toplogy should depend on the input and output dimensions and semantics of the given neural network,

Has anybody attempt to build a generic object tracker using nnstreamer? With similar functionality as https://docs.nvidia.com/metropolis/deepstream/dev-guide/text/DS_plugin_gst-nvtracker.html I would

Tensorflow-c-dev 1.13 will probably be ready for Jammy withhttps://github.com/nnsuite/ubuntuport-tensorflow/pull/26 andhttps://github.com/nnsuite/ubuntuport-tensorflow/pull/27 I'll start working on

I am building nnstreamer on Ubuntu 22.04 and have been successful, but had to install the tensorflow libraries manually (from

Dear NNStreamer developers, We finally have started looking at RISC-V builds with nnstreamer.This is a hobby project without any support from clients; thus, its progress won't be fast as

Dear all, Sorry for late response. Current tensor-filter does not allow flexible input and output tensor when invoking a model: even if caps negotiation of flex-tensor is done, its real data

Simply returning ENOENT from getModelInfo() will fail the gst cap negotiation and the pipeline won't start at all. Enforcing flexible tensor (other/tensors,format=flexible) for both input and

Dear Sascha, My bad! I should've not used "flexible" in the two totally different contexts. In the context of filter subplugin, it means "configuring output dimensions based on the input

Finding #7 (Pytorch devel package has GPL w/ GCC runtime exception headers).won't be fixed by removing the corresponding header files.The header files with GPL issue are essential headers of PyTorch,

Most of the issues are coming from "nnshark", a fork of "gstshark", which is tuned for pipelines with nnstreamer. It will be handled by Wook although it might be slow. The issues related with

Hi Team, Here are the results from the July 2022 license scan of the NNstreamer project. The scan was performed using the Linux Foundation Fossology server. Licenses and copyrights were

Finding #1: for the nnshark/gstshark issue, I've contacted gstshark: https://github.com/RidgeRun/gst-shark/issues/105 It is a fork of RidgeRun/gstshark, I'd first ask them to clarify the

Hi Team, I'm taking over the licesne scanning responsibilities from Steve Winslow. Here are the results from the most recent license scan of the NNstreamer project. The scan was performed on the

File access permissions and the privileges of the building processes? If you have nnstreamer aar already, why are you building nnstreamer? You'll need to find the difference between the two

Dear Team, I am trying to build nnstreamer-ssd example in android studio. I have followed the steps: - nnstreamer aar file to api-sample/libs - tensorflow-lite extracted to common/jni/ - gstreamer and

It is general C library and nnstreamer uses the standard building procedure. You may refer to the nnstreamer documentation; however, please keep in mind that you can refer to the general Linux C

Thanks I don't know well about rebuiling procedure of nnstreamer, but I will try with github documentations. If my problem is resolved, I will record it into this thread regards.

Ah.. as Jihoon said, if you have a model for PyTorch 1.10, you need to install and run PyTorch 1.10. Rebuild nnstreamer-pytorch with PyTorch 1.10 if your nnstreamer-pytorch installation doesn't work

Hello, Apart from the pipeline description, backward-compatibility should mean that Pytorch 1.10.1 can load model built with pytorch 1.3.1 not vice versa. (eg) excel 2010 can open file saved with