jetson-inference
wl-clipboard
Our great sponsors
jetson-inference | wl-clipboard | |
---|---|---|
11 | 20 | |
7,323 | 1,352 | |
- | - | |
8.5 | 6.2 | |
7 days ago | 5 days ago | |
C++ | C | |
MIT License | GNU General Public License v3.0 only |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
jetson-inference
-
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
-
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)
-
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.
-
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!
-
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
-
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
-
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
-
Basic Teaching
https://github.com/dusty-nv/jetson-inference#system-setup
wl-clipboard
-
With Firefox on X11, any page can pastejack you anytime (middle button paste)
> things it doesn't support like xclip
https://github.com/bugaevc/wl-clipboard
$ cat ~/bin/clip
#!/bin/sh
-
How to enable Primary Selection and Clipboard?
With the default config I noticed I couldn't paste contents from the selection buffer in some applications, so I added the following wl-clipboard calls in my hyprland.conf:
- macOS Command-Line Tools You Might Not Know About
-
Announcing zp: zp is a cli command to copy the contents of the source file or of the std output buffer to the clipboard, allowing users to easily paste the contents into another file or program
This is just kinda how wayland works. The way wl-clipboard handles it is it forks off and stays in the background. That process is what serves the clipboard requests.
-
Attach file path from clipboard to mutt/neomutt email
On wayland wl-paste pastes the from the clipboard. On X11 replace wl-paste with either xsel --clipboard --output or xclip -selection clipboard -o
-
Clipboard 0.4.0 - Tack stuff on, copy 100x faster, and feast your eyes on beauty!
No, but there's a wl-clipboard for that
- Fast OCR to clipboard
-
Wayland Protocol Finally Ready for Fractional Scaling
Linux isn't very pleasant.
> choosing to have vsync enabled or disabled in games
See this thread? https://www.reddit.com/r/swaywm/comments/ntszm9/how_can_i_ma...
I'm not 100% sure what you're asking.
> EDIT: I should another important one for me: xclip, read from and write to the clipboard in the command line
https://github.com/bugaevc/wl-clipboard
-
How can I run a script with clipboard as the only parameter?
I just had a quick Google and xclip or wl-clipboard may be what you’re looking for. I’ve never used them but they sound promising.
-
I did some hack to integrate emacs in wsl2 with the windows host
For point 2 I found that wl-paste seems to share the windows clipboard. Taking a screenshot and then in WSL
What are some alternatives?
openpose - OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
clipman - A simple clipboard manager for Wayland
onnx-tensorrt - ONNX-TensorRT: TensorRT backend for ONNX
GPaste - Clipboard management system
tensorflow - An Open Source Machine Learning Framework for Everyone
autocutsel - automated xcutsel
yolov5-deepsort-tensorrt - A c++ implementation of yolov5 and deepsort
kanshi - Dynamic display configuration (mirror)
TensorRT - NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.
sway - i3-compatible Wayland compositor
obs-studio - OBS Studio - Free and open source software for live streaming and screen recording
grim - Grab images from a Wayland compositor