tianqig / Vagrantfile

Created July 28, 2017 13:11 — forked from bsweger/Vagrantfile

Vagrantfile to set up a Python virtual environment for data analysis

	Vagrant::Config.run do \|config\|
	config.vm.define :pythondata do \|pythondata_config\|
	# Every Vagrant virtual environment requires a box to build off of.
	pythondata_config.vm.box = "precise64"

	# The url from where the 'config.vm.box' box will be fetched if it
	# doesn't already exist on the user's system.
	pythondata_config.vm.box_url = "http://files.vagrantup.com/precise64.box"

	# Forward a port from the guest to the host, which allows for outside

tianqig / happy_git_on_osx.md

Created July 30, 2017 08:11 — forked from trey/happy_git_on_osx.md

Creating a Happy Git Environment on OS X

Step 1: Install Git

brew install git bash-completion

Configure things:

git config --global user.name "Your Name"

git config --global user.email "you@example.com"

tianqig / google-cl.sh

Created August 5, 2017 08:26 — forked from loopj/google-cl.sh

Install google command line tools on mac

	#!/bin/bash
	sudo pip install -Iv http://gdata-python-client.googlecode.com/files/gdata-2.0.14.tar.gz googlecl

tianqig / gcloud_commands

Created August 5, 2017 14:45 — forked from frntn/gcloud_commands

all gcloud commands

	gcloud auth
	gcloud auth activate-refresh-token
	gcloud auth activate-service-account
	gcloud auth git-helper
	gcloud auth list
	gcloud auth login
	gcloud auth print-access-token
	gcloud auth print-refresh-token
	gcloud auth revoke
	gcloud components

tianqig / alerts_objet_detection.py

Created August 7, 2017 08:43 — forked from nbortolotti/alerts_objet_detection.py

	import sys
	import os
	import cv2
	import numpy as np
	import tensorflow as tf

	sys.path.append("..")

	from object_detection.utils import label_map_util

tianqig / classifier_from_little_data_script_1.py

Created August 15, 2017 06:26 — forked from fchollet/classifier_from_little_data_script_1.py

Updated to the Keras 2.0 API.

	'''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

tianqig / README.md

Created August 21, 2017 13:47 — forked from alexcasalboni/README.md

Google Vision API - Examples and Python utilities

Google Vision API Examples and Python utilities

Label Detection Examples

Face Detection Examples

tianqig / GitHub curl.sh

Created August 23, 2017 12:28

Download a single file from a private GitHub repo. You'll need an access token as described in this GitHub Help article: https://help.github.com/articles/creating-an-access-token-for-command-line-use

	curl --header 'Authorization: token INSERTACCESSTOKENHERE' \
	--header 'Accept: application/vnd.github.v3.raw' \
	--remote-name \
	--location https://api.github.com/repos/owner/repo/contents/path

	# Example...

	TOKEN="INSERTACCESSTOKENHERE"
	OWNER="BBC-News"
	REPO="responsive-news"

tianqig / disable-warnings.py

Created August 24, 2017 13:08

turn off all warnings by creating this startup file: ~/.ipython/profile_default/startup/disable-warnings.py , from https://stackoverflow.com/users/180783/astrofrog

	import warnings
	warnings.filterwarnings('ignore')

tianqig / gifextract.py

Created September 2, 2017 14:03 — forked from BigglesZX/gifextract.py

Extract frames from an animated GIF, correctly handling palettes and frame update modes

	import os
	from PIL import Image


	'''
	I searched high and low for solutions to the "extract animated GIF frames in Python"
	problem, and after much trial and error came up with the following solution based
	on several partial examples around the web (mostly Stack Overflow).

	There are two pitfalls that aren't often mentioned when dealing with animated GIFs -

David Tian tianqig

Creating a Happy Git Environment on OS X

Google Vision API Examples and Python utilities