tensorrt_demos
clipman
tensorrt_demos | clipman | |
---|---|---|
5 | 17 | |
1,720 | 483 | |
- | - | |
3.1 | 0.0 | |
about 1 year ago | 8 months ago | |
Python | Go | |
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 They supply you with a bunch of sorely outdated models for TensorRT like Inceptionv3 and SSD-MobileNetv2 and VGG-16.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
clipman
- Copying/moving files using GUI file managers
- Ctrl+C not working 100% of the time (not in terminal)
- Clipboard manager for wayland/swaywm
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How the Clipboard Works
lots results when I google 'wayland clipboard manager' - here's the first
https://github.com/yory8/clipman
- I need a clipboard manager that work with wayland
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Mouse icon and clipboard
Use a clipboard manager like clipman or cliphist
- Struggling to find clipman config that doesn't break something
- What's your wayland clipboard approach for rich media?
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Question: Integrating my system clipboard manager into telescope and struggling with parsing...
So basically I am trying to integrate https://github.com/yory8/clipman
- Do I need Wl-Clipboard ??
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/
cliphist - wayland clipboard manager with support for multimedia
torch2trt - An easy to use PyTorch to TensorRT converter
wl-clipboard - Command-line copy/paste utilities for Wayland
yolov4-custom-functions - A Wide Range of Custom Functions for YOLOv4, YOLOv4-tiny, YOLOv3, and YOLOv3-tiny Implemented in TensorFlow, TFLite, and TensorRT.
sway - i3-compatible Wayland compositor
tensorflow-yolov4-tflite - YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.3.1, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite
gnome-shell-extension-clipboard-indicator - Clipboard Manager extension for Gnome-Shell - Adds a clipboard indicator to the top panel, and saves text and images clipboard.
jetson-inference - Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
wayvnc - A VNC server for wlroots based Wayland compositors
swappy - A Wayland native snapshot editing tool, inspired by Snappy on macOS