Laurian Gridinoc Laurian

Machine learning models installed on macOS is part of Vision.framework

I found these while poking around at the list of open files for photoanalysisd in Activity Monitor.

% ls -lahS /System/Library/Frameworks/Vision.framework/Versions/A/Resources
total 465616
-rw-r--r--    1 root  wheel    40M Dec 13 16:32 landmarks_v2.bin
-rw-r--r--    1 root  wheel    31M Dec 13 16:32 scenenet_sc2.4_sa1.4_ae1.4_r9_opt_int8.espresso.weights
-rw-r--r--    1 root  wheel    29M Dec 13 16:32 scenenet_sc2.4_sa1.4_ae1.6_r13.4_opt_int8_asymetric.espresso.weights

How to calculate the alignment between BERT and spaCy tokens effectively and robustly

site: https://tamuhey.github.io/tokenizations/

Natural Language Processing (NLP) has made great progress in recent years because of neural networks, which allows us to solve various tasks with end-to-end architecture. However, many NLP systems still require language-specific pre- and post-processing, especially in tokenizations. In this article, I describe an algorithm that simplifies calculating correspondence between tokens (e.g. BERT vs. spaCy), one such process. And I introduce Python and Rust libraries that implement this algorithm. Here are the library and the demo site links:

repo: https://github.com/tamuhey/tokenizations

How to setup a practically free CDN using Backblaze B2 and Cloudflare

⚠️ Note 2023-01-21
Some things have changed since I originally wrote this in 2016. I have updated a few minor details, and the advice is still broadly the same, but there are some new Cloudflare features you can (and should) take advantage of. In particular, pay attention to Trevor Stevens' comment here from 22 January 2022, and Matt Stenson's useful caching advice. In addition, Backblaze, with whom Cloudflare are a Bandwidth Alliance partner, have published their own guide detailing how to use Cloudflare's Web Workers to cache content from B2 private buckets. That is worth reading,

Upcoming flags to enable link capturing and other PWA features. Enable these flags by copying and pasting the following, then searching for the below chrome://flags/

Enable full desktop integration:
chrome://flags/#enable-desktop-pwas

Capture URLs in their scope, such as twitter URLs for the Twitter PWA:
chrome://flags/#enable-desktop-pwas-link-capturing chrome://flags/#enable-desktop-pwas-stay-in-window

Get a pop-up that offers to allow the PWA to open certain URLs:

Linux: Compile C++ to WebAssembly and JavaScript using Emscripten and CMake

Download and Install Emscripten

My preferred installation location is /home/user
Get the latest sdk: git clone https://github.com/emscripten-core/emsdk.git
Enter the cloned directory: cd emsdk
Checkout main: git checkout main
Install the lastest sdk tools: ./emsdk install latest
Activate the latest sdk tools: ./emsdk activate latest
Activate path variables: source ./emsdk_env.sh

Source: https://archive.org/details/Apollo11Audio/

	#!/usr/bin/env bash
	START_TIME=$SECONDS
	set -e

	echo "-----START GENERATING HLS STREAM-----"
	# Usage create-vod-hls.sh SOURCE_FILE [OUTPUT_NAME]
	[[ ! "${1}" ]] && echo "Usage: create-vod-hls.sh SOURCE_FILE [OUTPUT_NAME]" && exit 1

	# comment/add lines here to control which renditions would be created
	renditions=(

	/*
	* MIT License
	*
	* Copyright (c) 2023-2024 Fabio Lima
	*
	* Permission is hereby granted, free of charge, to any person obtaining a copy
	* of this software and associated documentation files (the "Software"), to deal
	* in the Software without restriction, including without limitation the rights
	* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
	* copies of the Software, and to permit persons to whom the Software is

	// serverless/stages/serverless.js

	const { Component } = require('@serverless/core');

	const required = (name) => {
	throw new Error(`An argument "${name}" is required.`);
	};

	const processRef = (value, data) => {
	for (const key in data) {

	mkdir dash && \
	ffmpeg -hide_banner -i original.mkv -c:v libvpx-vp9 -row-mt 1 -keyint_min 150 -g 150 -tile-columns 4 -frame-parallel 1 \
	-movflags faststart -f webm -dash 1 -speed 3 -threads 4 -an -vf scale=426:240 -b:v 400k -r 30 -dash 1 dash/426x240-30-400k.webm && \
	ffmpeg -hide_banner -i original.mkv -c:v libvpx-vp9 -row-mt 1 -keyint_min 150 -g 150 -tile-columns 4 -frame-parallel 1 \
	-movflags faststart -f webm -dash 1 -speed 3 -threads 4 -an -vf scale=426:240 -b:v 600k -r 30 -dash 1 dash/426x240-30-600k.webm && \
	ffmpeg -hide_banner -i original.mkv -c:v libvpx-vp9 -row-mt 1 -keyint_min 150 -g 150 -tile-columns 4 -frame-parallel 1 \
	-movflags faststart -f webm -dash 1 -speed 3 -threads 4 -an -vf scale=640:360 -b:v 700k -r 30 -dash 1 dash/640x360-30-700k.webm && \
	ffmpeg -hide_banner -i original.mkv -c:v libvpx-vp9 -row-mt 1 -keyint_min 150 -g 150 -tile-columns 4 -frame-parallel 1 \
	-movflags faststart -f webm -dash 1 -speed 3 -threads 4 -an -vf scale=640:360 -b:v 900k -r 30 -dash 1 dash/640x360-30-900k.we