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License: MIT License
An all-in-one RootFS builder for Debian-based distributions with seemless QEMU integration
License: MIT License
Might be my build that is causing this
nvidia-opencv
)The major hurdle is to patch the namespace collision caused by the nvidia-opencv package in the package management.
Nvidia packages are pinned to a specific version of opencv (4.1.1 from the Nvidia APT repository) with CUDA support enabled:
Depends: libopencv-dev (= 4.1.1-2-gd5a58aa75), opencv-licenses (= 4.1.1-2-gd5a58aa75), libopencv-python (= 4.1.1-2-gd5a58aa75), libopencv-samples (= 4.1.1-2-gd5a58aa75), libopencv (= 4.1.1-2-gd5a58aa75)
deepstream-6.0
)NVIDIA DeepStream is a platform developed by NVIDIA for building AI-powered video analytics applications. It leverages NVIDIA's GPU architecture and a rich set of SDKs and APIs to provide a comprehensive toolkit for developing solutions to analyze video and other sensor data.
Deepstream also supplies a set of GStreamer plugins.
libtritonserver.so
and librivermax.so.0
are missing (I was not able to find them in the BSP)(gst-plugin-scanner:3665): GStreamer-WARNING **: 12:24:27.227: Failed to load plugin '/lib/aarch64-linux-gnu/gstreamer-1.0/deepstream/libnvdsgst_inferserver.so': libtritonserver.so: cannot open shared object file: No such file or directory
GStreamer-WARNING **: 12:24:25.383: Failed to load plugin '/lib/aarch64-linux-gnu/gstreamer-1.0/deepstream/libnvdsgst_udp.so': librivermax.so.0: cannot open shared object file: No such file or directory
nvidia-l4t-gstreamer
)My focus right now is on the Nvidia GStreamer plugins.
As GStreamer internals have changed over the years, or even moved to a different shared library (e.g. GstVideoAggregator),
recompilation is required. Thankfully, Nvidia has released the sources for this package!
Progress on this: https://github.com/hmelder/jetson-gstreamer
nvidia-jetpack
)This is just a meta package for installing the multimedia APIs, CUDA, TenorRT, NSight Systems, CUDA Deep Neural Network (cuDNN), Nvidia OpenCV (With CUDA support), (Nvidia Container)[https://developer.nvidia.com/nvidia-container-runtime], Nvidia Visionworks, and Nvidia VPI.
As mentioned in the OpenCV section, this package can not be installed at the moment, and members need to be installed manually (which is better for your storage space anyway :P)
Package: nvidia-jetpack
Version: 4.6.4-b39
Architecture: arm64
Maintainer: NVIDIA Corporation
Installed-Size: 194
Depends: nvidia-l4t-jetson-multimedia-api (>> 32.7-0), nvidia-l4t-jetson-multimedia-api (<< 32.8-0), nvidia-cuda (= 4.6.4-b39), nvidia-tensorrt (= 4.6.4-b39), nvidia-nsight-sys (= 4.6.4-b39), nvidia-cudnn8 (= 4.6.4-b39), nvidia-opencv (= 4.6.4-b39), nvidia-container (= 4.6.4-b39), nvidia-visionworks (= 4.6.4-b39), nvidia-vpi (= 4.6.4-b39)
Section: metapackages
Priority: standard
Homepage: http://developer.nvidia.com/jetson
Description: NVIDIA Jetpack Meta Package
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