jetson-inference
wayvnc
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C++ | C | |
MIT License | ISC License |
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jetson-inference
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Can this NVIDIA Jetson Nano handle advanced machine learning tasks?
Jetson Nano’s are obsolete and no longer supported; but to answer your question, this might be a good place to start.
- help with project involving object detection and tracking with camera
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Jetson Nano 2GB Issues During Training (Out Of Memory / Process Killed) & Other Questions!
I’m trying to do the tutorial, where they retrain the neural network to detect fruits (jetson-inference/pytorch-ssd.md at master · dusty-nv/jetson-inference · GitHub 1)
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Jetson Nano
Jetson-Inference is another amazing resource to get started on. This will allow you to try out a number of neural networks (classification, detection, and segmentation) all with your own data or with sample images included in the repo.
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Pretrained image classification model for nuts and bolts (or similar)
Hello! I'm looking for some pre trained image classification models to use on a Jetson Nano. I already know about the model zoo and the pre trained models included in the https://github.com/dusty-nv/jetson-inference repo. For demonstration purposes, however, I need a model trained on small objects from the context of production, ideally nuts, bolts, and similar small objects. Does anyone happen to know a source for this? Thanks a lot!
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PyTorch 1.8 release with AMD ROCm support
> They provide some SSD-Mobilenet-v2 here: https://github.com/dusty-nv/jetson-inference
I was aware of that repository but from taking a cursory look at it I had thought dusty was just converting models from PyTorch to TensorRT, like here[0, 1]. Am I missing something?
> I get 140 fps on a Xavier NX
That really is impressive. Holy shit.
[0]: https://github.com/dusty-nv/jetson-inference/blob/master/doc...
[1]: https://github.com/dusty-nv/jetson-inference/issues/896#issu...
- NVIDIA DLSS released as a plugin for Unreal Engine 4
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Help getting started
If you have a screen and keyboard and mouse plugged into the Nano, I would recommend starting with Hello AI World on https://github.com/dusty-nv/jetson-inference#hello-ai-world
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I'm tired of this anti-Wayland horseshit
Well, don't get me wrong. I do like my Jetson Nano. For a hobbyist who likes to tinker with machine learning in their spare time it's definitely a product cool and there are quite a few repositories on Github[0, 1] with sample code.
Unfortunately… that's about it. There is little documentation about
- how to build a custom OS image (necessary if you're thinking about using Jetson as part of your own product, i.e. a large-scale deployment). What proprietary drivers and libraries do I need to install? Nvidia basically says, here's a Ubuntu image with the usual GUI, complete driver stack and everything – take it or leave it. Unfortunately, the GUI alone is eating up a lot of the precious CPU and GPU resources, so using that OS image is no option.
- how deployment works on production modules (as opposed to the non-production module in the Developer Kit)
- what production modules are available in the first place ("Please refer to our partners")
- what wifi dongles are compatible (the most recent Jetson Nano comes w/o wifi)
- how to convert your custom models to TensorRT, what you need to pay attention to etc. (The official docs basically say: Have a look at the following nondescript sample code. Good luck.)
- … (I'm sure I'm forgetting many other things that I've struggled with over the past months)
Anyway. It's not that this information isn't out there somewhere in some blog post, some Github repo or some thread on the Nvidia forums[2]. (Though I have yet to find a reliably working wifi dongle…) But it usually takes you days orweeks to find it. From a product which is supposed to be industry-grade I would have expected more.
[0]: https://github.com/dusty-nv/jetson-inference
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Basic Teaching
https://github.com/dusty-nv/jetson-inference#system-setup
wayvnc
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Dropping GNOME's X11 session approved for Fedora 41
You can run remote applications with Wayland now: https://access.redhat.com/documentation/en-us/red_hat_enterp...
There is also a VNC server for fullscreen sessions (only supports wlroots compositors for now): https://github.com/any1/wayvnc
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Is my use case with X.org possible with Wayland?
There's wayvnc.
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Asahi Linux To Users: Please Stop Using X.Org
It says on their GitHub page that "Gnome, KDE, and Weston are not supported". What does that mean?
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What kind of applications are missing from the Linux ecosystem?
I thought this existed in the form of wayvnc but from their README it seems they don't support the popular desktop environments (GNOME, KDE).
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What are my options for remote desktop software on wayland?
Not sure if I would call it hassle free, but wayvnc isn't that hard to set up.
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When do you think you will switch to Wayland?
And wayvnc
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Can I run Sway via remote desktop on a Linode server running arch?
There is however a fresh issue on the wayvnc github with what looks like your problem. https://github.com/any1/wayvnc/issues/206
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Use a laptop as a 2nd display on Linux using FreeRDP
On wayvnc git master and sway 1.8 (or git master), you can script things so that a "virtual" display gets created automatically when someone connects to VNC, and removed when they disconnect.
See https://github.com/any1/wayvnc/pull/200/files
The script in the PR does something a bit different, but it's only an example and can be modified to do what I described in the first paragraph.
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Intel is using DXVK for their Windows Arc GPU DX9 drivers
No - it's not X, it's doesn't share a screen in the way X does.
That said... if this is a shoddy attempt at a "gotcha" style question - Screen sharing and remote desktop are both supported.
Ex - for Gnome:
https://wiki.gnome.org/Projects/Mutter/RemoteDesktop
LibVNCServer for VNC support, FreeRDP for remote desktop protocol.
For KDE:
https://userbase.kde.org/Krfb
Which mostly just works as long as you have Pipewire and xdg-desktop-portal-kde installed (the base plasma-wayland session usually includes them)
This one is a bit less polished - some users still have problems with keyboard input, depending on the distro and other installed packages.
For Sway:
xdg-desktop-portal-wlr works just fine for screen sharing, and you can use https://github.com/any1/wayvnc for VNC access (including having a completely headless machine).
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Linux experts, how to start TigerVNC automatically when switching to desktop?
Ah right, looks like the VNC server you're using is xorg only. You can try WayVNC for gaming mode https://github.com/any1/wayvnc .
What are some alternatives?
openpose - OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
x11vnc - a VNC server for real X displays
onnx-tensorrt - ONNX-TensorRT: TensorRT backend for ONNX
sway - i3-compatible Wayland compositor
tensorflow - An Open Source Machine Learning Framework for Everyone
kanshi - Dynamic display configuration (mirror)
yolov5-deepsort-tensorrt - A c++ implementation of yolov5 and deepsort
FreeRDP - FreeRDP is a free remote desktop protocol library and clients
TensorRT - NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.
noVNC - VNC client web application
obs-studio - OBS Studio - Free and open source software for live streaming and screen recording
xdg-desktop-portal-wlr - xdg-desktop-portal backend for wlroots