jkarnows’s gists

jkarnows / rosetta-sklearn-tf-setup.txt

Created October 12, 2017 17:52

	Using Mac OS X El Capitan 10.11.6

	sudo pip install virtualenv # Using Virtual Environment to contain dev environment
	# [Navigate to folder rosetta-stone]
	virtualenv rosetta # Create a virtual environment for this project
	source rosetta/bin/activate # Start the virtual environment to install dev environment

	pip install -U python # Install most recent Python
	pip install numpy scipy matplotlib ipython pandas sympy nose # Install SciPy Stack
	pip install sklearn # Install scikit-learn

jkarnows / idx-formatter.py

Last active September 3, 2017 20:07

Converting between binary files and directory of images

	import numpy as np
	# import cv2
	import Image
	import gzip
	import os
	import struct

	def _read32(bytestream):
	dt = np.dtype(np.uint32).newbyteorder('&gt;')
	return np.frombuffer(bytestream.read(4), dtype=dt)

jkarnows / loss_plot.py

Created September 3, 2017 19:54

Plotting training loss

	import os
	loss_files = sort(os.listdir('cv/'))
	lfs = []
	for lf in loss_files:
	lf = map(float,lf[13:-3].split('_'))
	lfs.append(lf)
	lfs = array(sorted(lfs, key = lambda x: x[0]))
	plot(lfs[:,0],lfs[:,1])
	title('Training Lossn')
	ylabel('Loss')

jkarnows / draw_circle.py

Created September 3, 2017 19:47

Drawing a circle with OpenCV

	from cv2 import circle
	# Input code here to determine the center of the circle, (x,y) and the radius.
	color = (0,255,0)
	thickness = 2
	cv2.circle(img,(x,y),radius,color,thickness)

jkarnows / rpi_servo_control.py

Created September 3, 2017 19:46

Controlling the servos on a Raspberry Pi for a robot

	from RPIO import PWM
	servoLeft = 18 # 1300 is backwards, 1700 forward
	servoRight = 23 # 1700 is backwards, 1300 forward
	servo = PWM.Servo()
	servo.set_servo(servoLeft,1500)
	servo.set_servo(servoRight,1500)

jkarnows / detcurve.py

Created September 3, 2017 19:35

Plotting a DET Curve

	from matplotlib import pyplot as plt
	def DETCurve(fps,fns):
	"""
	Given false positive and false negative rates, produce a DET Curve.
	The false positive rate is assumed to be increasing while the false
	negative rate is assumed to be decreasing.
	"""
	axis_min = min(fps[0],fns[-1])
	fig,ax = plt.subplots()
	plot(fps,fns)

jkarnows / document_conversion.py

Created September 3, 2017 19:31

Converting .pdf, .doc, .docx, and .odt documents to .txt

jkarnows / openai_cartpole_v0_dqn.py

Last active September 8, 2016 07:19 — forked from imironhead/openai_cartpole_v0_dqn.py

jkarnows-cartpole-v0-dqn

	"""
	Solve OpenAI Gym Cartpole V0 with DQN.

	TensorFlow code by TiehHung Chuang (imironhead), 2016-09-06
	tf-slim code by Jeremy Karnowski jkarnows, 2016-09-07
	"""

	from __future__ import absolute_import
	from __future__ import print_function
	from __future__ import division

jkarnows / scrapeIndeed.py

Created August 31, 2015 03:46

	"""
	Code modified from https://jessesw.com/Data-Science-Skills/
	Jeremy Karnowski August 30, 2015
	"""
	from bs4 import BeautifulSoup # For HTML parsing
	import urllib2 # Website connections
	import tldextract # Extracts domain information
	import re # Regular expressions
	from time import sleep # To prevent overwhelming the server between connections

Jeremy Karnowski jkarnows