judge2020

Trim transparency from bounds of a gif

Sometimes you have a gif that has a transparent pixel border. This is inconvenient when you don't want this for chat-app emojis or stickers.

Courtest of chatgpt here's a script that takes in a gif via python input and outputs the trimmed gif.

prerequisites

ffmpeg
gifski (no video mode needed)

pkill -HUP UniversalControl

Thanks to mmac_m3a on macrumors forum.

python3 -m pip install discord.py
copy the script into a file (e.g. initialize.py)
run python3 initialize.py
quit once you see "We have logged in as <user#1234>"

Setup

Sign into https://tiktok.com and go to your profile
Click favorites or likes
scroll down till all your videos load
paste the script in console and run it
Script will download the file containing newline-delimited links
download via yt-dlp like so:

If you don't see the mermaid diagram or are using dark mode: ![](https://mermaid.ink/img/pako:eNp9VW1v2jAQ_itWJppMCikphHZRO4lStevWja6wSZP4YhKHeA125Dh0CPHfd3ZCzEtFJMj5nufO96qsrYjHxAqtVmtNGZXh2k4y_halWEgbDgzQcY4jyuZ2iPyOi2yB2atRBZ2Na8uULAgc7BkuiA0crfiNBcWzjBSArJGdC7rAYjXkGReK-yFJIngUncRz8oRnJLvF0etc8JLFdqgISUIqf0RIemCcdJKOvdlsWq0pa2JGk9spQ_AkJWOrBItF4dwrEd0r-WMFSsmdCedM8jeGRiyjjDSIMMgLeRNUSsIakPo9ZzJ5RBcdv7ejDLbKwCgjrRtmuChohEhMJeXGEU8SLugcOKMkcdH1zYUXeJe7sLOA0guGNKMGCiloTJyxftU6HhcO_Lamy0LHT5dEFDhDY1nGlG_RhGRQqCKluUnyvtHVJJyTf84A_rbnTNLCGah_F6J5cVEuCMpwyaLURYNy7vfbP_jS7-_yLyoD5HswMlW8Lroj0T6rW7Oub3zPV84fXfQVM39biAiqlzpDLnIusCS6mmmNpbwsyIXzRb3QE6Dubld4Fg8fR84oixG8NbS9uaqrQr9XFdaEZ8xijFTVTJtaLUOe8z36A4-5PKZD3zFb0kz3_lnwvySSaKA0LvoF67Xai0SnUGXgIjUOlEHLVC6K1a1ZdevL2VzgPFWIX6nqUUHX7fbnnXmvQMLiY8PuvmHbQzCdRBaIs2yFPHCjQzrhoXfgAUxgZXaVolbSLfddP8F7JvVS7ELgpfEXoLN6A0AwowwHNbLwqkbixK1947p2pHzD9kCRoXuplHkRnp-veClLb0bOJ-nDH5H0xLfBz-O8qxE7zkNPtlHrYxN5QzgV5uVhBc5qG-O_u08JtkWKTri92suhqjW4Nn0EnaFU6WmkWYKDrLoa1Ut64tpPR0U_0yXXd

https://www.sec.gov/Archives/edgar/data/1477333/000119312519222176/d735023ds1.htm#:~:text=Key%20elements%20of%20our%20business%20model%20include%3A

Free customer base—Free customers are an important part of our business. These customers sign up for our service through our self-serve portal and are typically individual developers, early stage startups, hobbyists, and other users. Our free customers create scale, serve as efficient brand marketing, and help us attract developers, customers, and potential employees. These free customers expose us to diverse traffic, threats, and problems, often allowing us to see potential security, performance, and reliability issues at the earliest stage. This knowledge allows us to improve our products and deliver more effective solutions to our paid customers. In addition, the added scale and diversity of this traffic makes us valuable to a diverse set of global ISPs, improving the breadth and economic terms of our interconnections, bandwidth costs, and co-location expense

	/*
	Collect and export a list of Twitter usernames you're following, along with follow-back status, to a CSV file every 80 seconds. Done client-side using Javascript running in the Console window of the web browser.

	Instructions:
	1) Modify the 'LANGUAGE' variable to match your Twitter interface language.
	2) Customize 'SKIP_USERS' with usernames you do not wish to include in the CSV.
	3) 'PRINT_FOLLOW_INFORMATION' determines whether follow-back status is included.
	4) 'SKIP_FOLLOWERS' and 'SKIP_NON_FOLLOWERS' settings filter out respective user groups.
	5) 'MS_PER_CYCLE' controls the frequency of data collection cycles.
	6) Load the Twitter page showing users you're following, open the console (F12), paste this code, and run it.

	/* eslint-disable camelcase */
	import React, { useState } from "react";
	import {
	FormInputRange,
	FormInputSelect,
	FormItem,
	FormLabelRange,
	} from "@tesla/design-system-react";
	import { Form, Input } from "@tesla/informed-tds";
	import { arrayOf, func, number, shape, string } from "prop-types";

	import glob
	import json
	from datetime import datetime
	from matplotlib import pyplot

	age_ts = []
	age_keys = ["prob_13_17", "prob_18_24", "prob_25_34", "prob_35_over"]
	age_lists = {k:[] for k in age_keys}

	gen_ts = []

	# python -m pip install pyperclip
	# credit gpt4
	import pyperclip
	import time
	from urllib.parse import urlparse, urlunparse

	# Function to check if the content in the clipboard is a URL
	def is_url(content):
	try:
	result = urlparse(content)