DEPRECATED. Use this repo instead: https://github.com/quinngroup/python-packages
This is a list of all the Python packages I like to use.
import argparse | |
import bz2 | |
import os | |
if __name__ == "__main__": | |
parser = argparse.ArgumentParser(description = 'FERET Parser', | |
epilog = 'lol moar p1cz', add_help = 'How to use', | |
prog = 'python feret.py <args>') | |
# Required parameters. |
// A great deal of this code was inspired by Codeflow. | |
// http://codeflow.org/entries/2010/aug/22/html5-canvas-and-the-flying-dots/ | |
// I just added the bit where the particles explode :) | |
var Universe = function() { this.init.apply(this, arguments); }; | |
Universe.prototype = { | |
init: function(numParticles, interval, maxVelocity, maxAcceleration, criticalMass, criticalRadius) { | |
var canvas = document.getElementById('particles'); | |
var context = canvas.getContext('2d'); |
import numpy as np | |
import matplotlib.pyplot as plot | |
import sys | |
def exp(mean, samples = 100): | |
y = [] | |
lambda_param = (1 / mean) | |
for i in range(0, samples): | |
rand = np.random.rand() | |
y.append(np.log(1 - rand) / (-1.0 * lambda_param)) |
import numpy as np | |
import sys | |
import matplotlib.pyplot as plot | |
import csv | |
# read the arguments - need two files | |
if len(sys.argv) < 3: | |
quit('python parse.py [raw data file] [mahout output]') | |
# read the files |
# Register each worker. | |
./bootstrap-uga-general.sh | |
# Make sure each worker is subscribed to the RHEL channels: | |
# - RHEL Server Optional | |
# - RHEL Server Supplementary | |
# - RHN Tools for RHEL | |
# Run on each worker. | |
yum -y update |
import argparse | |
import matplotlib.pyplot as plot | |
from matplotlib import animation | |
from mpl_toolkits.mplot3d.axes3d import Axes3D | |
import numpy as np | |
import scipy.io | |
import ar.ar as AR | |
if __name__ == "__main__": | |
parser = argparse.ArgumentParser(description = 'Cilia AR Subspace Plotting', |
DEPRECATED. Use this repo instead: https://github.com/quinngroup/python-packages
This is a list of all the Python packages I like to use.
#!/opt/python/bin/python | |
# Installs a GPU-enabled OpenCV from the conda-forge feedstock. | |
# Assumes you already have Python 3 installed and the conda-forge channel on. | |
import argparse | |
import os.path | |
import subprocess | |
import sys | |
# These are the options we want to make sure are set to the values listed here. |
# This function was written as part of the analysis pipeline in | |
# Lu et al 2018, IEEE ISBI: https://arxiv.org/abs/1803.07534 | |
# | |
# The purpose of this function was to convert the predicted mask | |
# of cilia into an empirical probability density function that we | |
# would then sample "seeds" from to extract patches of ciliary motion | |
# (with high probability; hence, the empirical PDF) to feed to the | |
# downstream Conv-LSTM for classification. The reason we didn't | |
# just uniformly sample from the masked areas of cilia was to try | |
# and minimize uncertainty in the mask edges (hence, the distance |
Interfaces the AWS Dash button with the Hue lights.