procedural-gl-js
atbswp
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procedural-gl-js | atbswp | |
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11 | 16 | |
1,266 | 692 | |
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0.0 | 0.0 | |
almost 3 years ago | about 2 months ago | |
JavaScript | Python | |
Mozilla Public License 2.0 | 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.
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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.
procedural-gl-js
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Recreating Real-World Terrain with React, Three.js and WebGL Shaders
Nice writeup, I always like it when the shaders are highlighted like this. I got started in a similar way 7 years ago and have been making 3D terrains with THREE.js & WebGL since.
The real fun begins when you need to implement some sort of Level-of-Detail system and streaming in data to give the illusion of high detail everywhere without sacrificing performance.
Last year I released an open-source framework (https://github.com/felixpalmer/procedural-gl-js) for creating 3D terrains for web applications, you can see Uluru here: https://www.procedural.eu/map/?longitude=131.036&latitude=-2... (unfortunately the aerial imagery from our default provider isn't as high resolution as other places in Europe)
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Visualization of 40M Cell Towers
Great visualization and approach with compressing the tile data. Do you have a comparison of how much smaller the payload ends up being compared to simply sending PNG files?
I use PNGs to encode elevation data in my 3D mapping library (https://github.com/felixpalmer/procedural-gl-js/) and this does a pretty good job of compressing the data, for example in the ocean the PNG files are also very small as the image is mostly black. Different use case I now as your data is much more sparse, but I wonder how close the PNG compression would be compared to your approach.
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React Component for 3D Maps
Yeah, the React parts of this are very minimal. I'm not really sure what using it gets you, since it just manages a single div.
The _actual_ library that does all the work is here: https://github.com/felixpalmer/procedural-gl-js
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Ask HN: What Are You Working On?
- Tiny filesize means library is parsed fast. Package size is less than THREE.js thanks to code stripping
Check it out on Github: https://github.com/felixpalmer/procedural-gl-js/
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Mountain Peaks in WebGL
The imagery comes from the Orthofoto dataset on https://www.basemap.at/ - the actual texturing is done by the Procedural GL JS library https://github.com/felixpalmer/procedural-gl-js
atbswp
- I'm looking for a good auto click that isn't a virus, could anyone link one
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"Automate the Boring Stuff with Python" online course is free to sign up for the next few days with code JUN2021FREE
This book is definitely a good starting point, and if you want a glimpse of what you can achieve with an automation library (pyautogui in the case of the book), do check out atbswp
Using the library of the author pyautogui, I developed a macro recorder atbswp (Yes like the book) which makes it very easy to automate boring tasks, do check it out.
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"Automate the Boring Stuff with Python" online course is free to sign up for the next few days with code APR2021FREE
Seems I am late to the party. Anyway, if you like automation, check out atbswp
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Click
Shameless plug, you can do the same with this[0] albeit not in the CLI.
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"Automate the Boring Stuff with Python" online course is free to sign up for the next few days with code MAR2021FREE
Source: I use both in a project of mine atbswp
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Sunday Daily Thread: What's everyone working on this week?
I just released a new version of atbswp I intend to start working on the v0.3 (or 0.2.1 not sure yet)
- Atbswp 0.2 released
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Graphical interface
Just to add options on top of QT5, there's also wxPython. It's pretty good, and fwiw, I use it for this project not the most convoluted GUI out there but it works. Iirc there's also Pysimplegui but I never used it.
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Updated for 2021: Docker Django and Intercooler Is Go-To Stack for Building SaaS
Not necessarily, you can use a CI pipeline to verify that your project can be build with many Python versions. This is the workflow I use here[0]. It makes catching and fixing breaking changes easier. Plus, I'm confident the core team is not likely to introduce a painful breaking change (think Python 2 -> 3) soon[1]
0: https://github.com/rmpr/atbswp
1: https://mobile.twitter.com/gvanrossum/status/130608247244308...
What are some alternatives?
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rnnoise - Recurrent neural network for audio noise reduction
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slam-crappy - Navigation project for an indoor robot using a Raspberry Pi, Arduino by combining a camera/OpenCV and physical measurements from ultrasonic and single point lidar sensor.
pg-mem - An in memory postgres DB instance for your unit tests
rust-starter - Rust Starter Project
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