tensorrt_demos
wl-clipboard
tensorrt_demos | wl-clipboard | |
---|---|---|
5 | 20 | |
1,720 | 1,368 | |
- | - | |
3.1 | 5.3 | |
about 1 year ago | 14 days ago | |
Python | C | |
MIT License | GNU General Public License v3.0 only |
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tensorrt_demos
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lowering size of YOLOV4 detection model
tensorrt_demo github repository
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Jetson Nano: TensorFlow model. Possibly I should use PyTorch instead?
https://github.com/NVIDIA-AI-IOT/torch2trt <- pretty straightforward https://github.com/jkjung-avt/tensorrt_demos <- this helped me a lot
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PyTorch 1.8 release with AMD ROCm support
> I'll also add a caveat that toolage for Jetson boards is extremely incomplete.
A hundred times this. I was about to write another rant here but I already did that[0] a while ago, so I'll save my breath this time. :)
Another fun fact regarding toolage: Today I discovered that many USB cameras work poorly on Jetsons (at least when using OpenCV), probably due to different drivers and/or the fact that OpenCV doesn't support ARM64 as well as it does x86_64. :(
> They supply you with a bunch of sorely outdated models for TensorRT like Inceptionv3 and SSD-MobileNetv2 and VGG-16.
They supply you with such models? That's news to me. AFAIK converting something like SSD-MobileNetv2 from TensorFlow to TensorRT still requires substantial manual work and magic, as this code[1] attests to. There are countless (countless!) posts on the Nvidia forums by people complaining that they're not able to convert their models.
[0]: https://news.ycombinator.com/item?id=26004235
[1]: https://github.com/jkjung-avt/tensorrt_demos/blob/master/ssd... (In fact, this is the only piece of code I've found on the entire internet that managed to successfully convert my SSD-MobileNetV2.)
- I'm tired of this anti-Wayland horseshit
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H.264 hardware acceleration for surveillance station performance
It was some work getting compiled on nano but I used this guy's work to get started. https://jkjung-avt.github.io/tensorrt-yolov4/ and https://github.com/jkjung-avt/tensorrt_demos
wl-clipboard
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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
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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
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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.
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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
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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
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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
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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.
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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?
YOLOX - YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
clipman - A simple clipboard manager for Wayland
torch2trt - An easy to use PyTorch to TensorRT converter
GPaste - Clipboard management system
yolov4-custom-functions - A Wide Range of Custom Functions for YOLOv4, YOLOv4-tiny, YOLOv3, and YOLOv3-tiny Implemented in TensorFlow, TFLite, and TensorRT.
autocutsel - automated xcutsel
tensorflow-yolov4-tflite - YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.3.1, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite
kanshi - Dynamic display configuration (mirror)
jetson-inference - Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
sway - i3-compatible Wayland compositor
wayvnc - A VNC server for wlroots based Wayland compositors
grim - Grab images from a Wayland compositor