Equan P. junwatu

name

extract-clothing-cutouts

description

Extract high-quality, deduplicated transparent ecommerce clothing cutouts from a folder of photographs where people wear one or more garments. Use when Codex must find outfit or model photos, identify unique clothing across images, create focused references, reconstruct complete garments with Imagegen, remove a solid chroma background into RGBA PNGs, and output only the finished clothing images into a new folder under the current working directory.

Extract Clothing Cutouts

Turn photographs of worn clothing into source-faithful standalone catalog PNGs. Treat each result as a reconstruction from visible evidence, not literal segmentation whenever the wearer or another layer occludes part of the garment.

Start by asking for two paths

Raspberry Pi, Static HTTPS site with Docker and Nginx

This tutorial is dated Oct 2021, if it's much further on than that this information might be out of date.

This is a guide on setting up a static HTTPS website on your raspberry pi using docker and nginx. The aim is to have this running on the raspberry pi and to be able to access it from a host computer on the same local network. You should already be able to ssh into your pi from your host computer and have raspberry pi OS set up.

Find your raspberry pi

People

`:bowtie:`	😄 `:smile:`	😆 `:laughing:`
😊 `:blush:`	😃 `:smiley:`	☺️ `:relaxed:`
😏 `:smirk:`	😍 `:heart_eyes:`	😘 `:kissing_heart:`
😚 `:kissing_closed_eyes:`	😳 `:flushed:`	😌 `:relieved:`
😆 `:satisfied:`	😁 `:grin:`	😉 `:wink:`
😜 `:stuck_out_tongue_winking_eye:`	😝 `:stuck_out_tongue_closed_eyes:`	😀 `:grinning:`
😗 `:kissing:`	😙 `:kissing_smiling_eyes:`	😛 `:stuck_out_tongue:`

This guide will provide you with a workaround for using XNA in Visual Studio 2017. This will solve problems with the target files and Microsoft.Build.Framework.dll such as: Error loading pipeline assembly "C:\Program Files (x86)\Reference Assemblies\Microsoft\Framework\.NETFramework\v4.0\Microsoft.Build.Framework.dll"

Download a modified version of the XNA vsix: https://mxa.codeplex.com/
Unzip XNA Game Studio 4.0.vsix and replace the <Installation /> tag in extension.vsixmanifest with this:

 <Installation InstalledByMsi="false">
    <InstallationTarget Version="[12.0,16.0)" Id="Microsoft.VisualStudio.VSWinDesktopExpress" />
    <InstallationTarget Version="[12.0,16.0)" Id="Microsoft.VisualStudio.Pro" />

The introduction to Reactive Programming you've been missing

(by @andrestaltz)

This tutorial as a series of videos

If you prefer to watch video tutorials with live-coding, then check out this series I recorded with the same contents as in this article: Egghead.io - Introduction to Reactive Programming.

	<template>
	<nav id="pagination">
	<ul class="page-numbers" v-if="$store.state.totalPageCount">
	<li v-for="num in this.pageNumbers" v-if="num != null" v-bind:style="{ width: (100 / pageNumberCount) + '%' }">
	<nuxt-link v-if="num != $route.query.page && num != currentPage" :to="{ path: '/', query: { page: num } }">{{ num }}</nuxt-link>
	<span v-else>{{ num }}</span>
	</li>
	</ul>
	<ul class="page-guides" v-if="this.$store.state.totalPageCount != 1">
	<li>

	# put this on root directory as .gitattributes

	* text=auto

	# Unity files
	*.meta -text -merge=unityamlmerge
	*.unity -text -merge=unityamlmerge
	*.asset -text -merge=unityamlmerge
	*.prefab -text -merge=unityamlmerge

	<html>
	<head>
	<script src="//cdnjs.cloudflare.com/ajax/libs/underscore.js/1.4.2/underscore-min.js"></script>
	<script src="//ajax.googleapis.com/ajax/libs/jquery/1.8.2/jquery.min.js"></script>
	<script src="//cdnjs.cloudflare.com/ajax/libs/modernizr/2.6.2/modernizr.min.js"></script>
	<script src="//ajax.cdnjs.com/ajax/libs/json2/20110223/json2.js"></script>

	<!--
	TODO:

	#!/usr/bin/env xcrun swift

	/*
	gen.swift is a direct port of cfdrake's helloevolve.py from Python 2.7 to Swift 3
	-------------------- https://gist.github.com/cfdrake/973505 ---------------------
	gen.swift implements a genetic algorithm that starts with a base
	population of randomly generated strings, iterates over a certain number of
	generations while implementing 'natural selection', and prints out the most fit
	string.
	The parameters of the simulation can be changed by modifying one of the many

	#include <stdio.h>
	#include <string.h>
	#include <stdlib.h>

	#define MAX_FRAME_SIZE 256*1024 // KB
	#define CONTENT_LENGTH "Content-Length: "
	#define PAYLOAD "\r\n"

	int main()
	{