| @ECHO OFF | |
| CLS | |
| chdir /d C:\Xampp\htdocs\lara\specify the root directory of your laravel project here | |
| ECHO 1.Make controller | |
| ECHO 2.Make model | |
| ECHO 3.Create Migration | |
| ECHO 4.Migrate data to DB | |
| ECHO 5.Artisan Serve | |
| ECHO 6.Roll back Latest Migration from DB | |
| ECHO 7.Completely Rollback your database |
In August 2007 a hacker found a way to expose the PHP source code on facebook.com. He retrieved two files and then emailed them to me, and I wrote about the issue:
http://techcrunch.com/2007/08/11/facebook-source-code-leaked/
It became a big deal:
http://www.techmeme.com/070812/p1#a070812p1
The two files are index.php (the homepage) and search.php (the search page)
| from flask import Flask, make_response | |
| app = Flask(__name__) | |
| @app.route("/simple.png") | |
| def simple(): | |
| import datetime | |
| import StringIO | |
| import random | |
| from matplotlib.backends.backend_agg import FigureCanvasAgg as FigureCanvas |
| 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. |
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.
