GlowScripts

78 Tax Tips for Canadians for Dummies (ISBN - 0470676582) 
A Family's Guide to the Military for Dummies (ISBN - 0470386975) 
Access 2007 VBA Programming for Dummies (ISBN - 0470046538) 
Access 2010 All-in-One for Dummies (ISBN - 0470532181) 
Access Forms & Reports for Dummies (ISBN - 0764599658) 
Access VBA Programming for Dummies (ISBN - 0764574116) 
Accounting for Dummies (ISBN - 0470246006) 
Accounting Workbook for Dummies (ISBN - 0471791458) 
Acne for Dummies (ISBN - 0471746983) 
Acrylic Painting for Dummies (ISBN - 047044455X) 

daniw

# install wine and ltspice
sudo apt-get install wine
# sudo pacman -S wine
cd /tmp/
wget http://ltspice.linear-tech.com/software/LTspiceIV.exe
wine LTspiceIV.exe
rm LTspiceIV.exe

# start lstpice through wine
wine ~/.wine/drive_c/Program\ Files/LTC/LTspiceIV/scad3.exe

parmentf

Inspired by dannyfritz/commit-message-emoji

See also gitmoji.

Commit type	Emoji
Initial commit	🎉 :tada:
Version tag	🔖 :bookmark:
New feature	✨ :sparkles:
Bugfix	🐛 :bug:

daredude

@echo off
FOR /f "tokens=*" %%i IN ('docker ps -aq') DO docker rm %%i
FOR /f "tokens=*" %%i IN ('docker images --format "{{.ID}}"') DO docker rmi %%i

fchollet

'''This script goes along the blog post
"Building powerful image classification models using very little data"
from blog.keras.io.
It uses data that can be downloaded at:
https://www.kaggle.com/c/dogs-vs-cats/data
In our setup, we:
- created a data/ folder
- created train/ and validation/ subfolders inside data/
- created cats/ and dogs/ subfolders inside train/ and validation/
- put the cat pictures index 0-999 in data/train/cats

345161974

import urllib
from wordpress_xmlrpc import Client, WordPressPost
from wordpress_xmlrpc.methods import posts
import xmlrpclib
from wordpress_xmlrpc.compat import xmlrpc_client
from wordpress_xmlrpc.methods import media, posts
import os
########################### Read Me First ###############################
'''
------------------------------------------In DETAIL--------------------------------

Yatoom

from words import words
minionese_to_english = {v: k for k, v in words.items()}


def translate(sentence, minionese=False):
    dictionary = words if not minionese else minionese_to_english

    result = ""
    for word in sentence.split(" "):
        if word in dictionary.keys():

Amir22010

Convert PascalVOC Annotations to YOLO

This script reads PascalVOC xml files, and converts them to YOLO txt files.

Note: This script was written and tested on Ubuntu. YMMV on other OS's.

Disclaimer: This code is a modified version of Joseph Redmon's voc_label.py

Instructions:

1. Place the convert_voc_to_yolo.py file into your data folder.

EricCousineau-TRI

import cv2
import numpy as np


def draw_text(
    img,
    *,
    text,
    uv_top_left,
    color=(255, 255, 255),