Kenny-MWI

Slack Tweaks

In Fall 2023, Slack introduced an updated client with some unpopular UI changes. The tweaks in this document can be used to revert to the old client or hide the new side bar. These will reset every time you fully close Slack but they are easy to re-apply once you get the hang of it.

(Cross Platform) Open Dev Tools [Preferred Option]

To run any of these scripts, you'll need to open the Dev Tools (or Console). You can do this by typing /slackdevtools in a Slack channel or direct message. These are the same Dev Tools you'd get in Chrome if you hit F12. Along the top are tabs for Elements, Console, Sources, Network, etc. You'll want to paste these scripts into the Console tab at the > prompt.

If Slack disables this command, then you can open Dev Tools by setting a system-wide environment variable and using a keyboard shortcut to open the console. If /slackdevtools worked for you then you can skip these next two sections.

(Mac OS) Enable Dev Mode

JayFoxRox

Notes about gsplat / 3DGS: 3D Gaussian Splatting (~WIP)

I'm planning to turn this into an "awesome-gsplat" repository (https://github.com/sindresorhus/awesome) or a wiki on some repository.

Feel free to add comments to this gist for now.

I'm contiuining to update this, and will hopefully get to reformatting it with thumbnails and further information (especially on performance and capabilities of implementations).

---

jdbcode

"""
Copyright 2020 Justin Braaten

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

    https://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software

peteflorence

Here's a simple implementation of bilinear interpolation on tensors using PyTorch.

I wrote this up since I ended up learning a lot about options for interpolation in both the numpy and PyTorch ecosystems. More generally than just interpolation, too, it's also a nice case study in how PyTorch magically can put very numpy-like code on the GPU (and by the way, do autodiff for you too).

For interpolation in PyTorch, this open issue calls for more interpolation features. There is now a nn.functional.grid_sample() feature but at least at first this didn't look like what I needed (but we'll come back to this later).

In particular I wanted to take an image, W x H x C, and sample it many times at different random locations. Note also that this is different than upsampling which exhaustively samples and also doesn't give us fle

jimmywarting

Exposed headers

Service	SSL	status	Response Type	Allowed methods	Allowed headers

nickkraakman

FFmpeg Cheat Sheet for 360º video

Brought to you by Headjack

 
FFmpeg is one of the most powerful tools for video transcoding and manipulation, but it's fairly complex and confusing to use. That's why I decided to create this cheat sheet which shows some of the most often used commands.

 
Let's start with some basics:

• ffmpeg calls the FFmpeg application in the command line window, could also be the full path to the FFmpeg binary or .exe file

knee-cola

/**
 * @author knee-cola / https://github.com/knee-cola
 * Original file URL: https://gist.github.com/knee-cola/37875bc4359609b96c9f329cd2a68fa1
 */

// This is a simple progressive image loader for Three.js
// It enables the smaller image files to be loaded first,
// before the big texture image is fully loaded.
//
// The images are loaded in the order they are passed

nqthqn

import json
import requests
import csv

# Authentication for user filing issue (must have read/write access to
# repository to add issue to)
USERNAME = 'username'
PASSWORD = 'password'

# The repository to add this issue to

m-jowett

Setup LibreOffice Online (Log/Guide) [WIP]

About

This guide/log is based off my experience attempting to build and install LibreOffice Online and it's dependencies on my system.

The end goal is to get LibreOffice Online integrated with Karoshi Server.

LibreOffice Online is still in development (17/06/16).

patriciogonzalezvivo

Please consider using http://lygia.xyz instead of copy/pasting this functions. It expand suport for voronoi, voronoise, fbm, noise, worley, noise, derivatives and much more, through simple file dependencies. Take a look to https://github.com/patriciogonzalezvivo/lygia/tree/main/generative

Generic 1,2,3 Noise

float rand(float n){return fract(sin(n) * 43758.5453123);}

float noise(float p){
	float fl = floor(p);
  float fc = fract(p);