Using Requests and Beautiful Soup, with the most recent Beautiful Soup 4 docs.
Install our tools (preferably in a new virtualenv):
pip install beautifulsoup4
| <!DOCTYPE html> | |
| <html> | |
| <head> | |
| <meta charset="utf-8"> | |
| <title>Modular DOMReady</title> | |
| </head> | |
| <body> | |
| <header></header> | |
| <section role="main"> |
| <?xml version="1.0" encoding="UTF-8"?> | |
| <!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd"> | |
| <plist version="1.0"> | |
| <dict> | |
| <key>beforeRunningCommand</key> | |
| <string>saveActiveFile</string> | |
| <key>command</key> | |
| <string>#!/usr/bin/env ruby | |
| # encoding: utf-8 |
| # Here are a few methods for getting text from PDF files. Do read through | |
| # the instructions carefully! NOte that this code is written for Windows 7, | |
| # slight adjustments may be needed for other OSs | |
| # Tell R what folder contains your 1000s of PDFs | |
| dest <- "G:/somehere/with/many/PDFs" | |
| # make a vector of PDF file names | |
| myfiles <- list.files(path = dest, pattern = "pdf", full.names = TRUE) |
Using Requests and Beautiful Soup, with the most recent Beautiful Soup 4 docs.
Install our tools (preferably in a new virtualenv):
pip install beautifulsoup4
This is the Keras model of VGG-Face.
It has been obtained through the following method:
Details about the network architecture can be found in the following paper: