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#!/usr/bin/env ruby
require 'optparse'
options = {}
OptionParser.new do |opts|
opts.banner = "Usage: example.rb [options]"
opts.on("-r", "--rt [Float]", Float, "Rt value") do |v|
options[:rt] = v
import cv2
import numpy as np
import glob
from gray_contourer2 import GrayContourer
def mask(img):
c = GrayContourer(img,60,0)
# only give data for the biggest object found
contours = sorted(c.contours, key=cv2.contourArea)
if len(contours) == 0:
We can make this file beautiful and searchable if this error is corrected: It looks like row 4 should actually have 32 columns, instead of 24. in line 3.
0,../rejected/2017-11-18T20:25:00.527406.jpg,0.883719,0.452769,0.102973,0.0195769,0.038895,0.0391537,0.00293222,0.0,0.0,0.0,0.618053,0.736267,0.256814,0.0660522,0.0316771,0.0673513,0.00809414,9.99277e-05,0.0,0.0,0.333,0.819347,0.430899,0.157434,0.0347989,0.0756771,0.0196006,0.000943344,0.0,0.0
0,../rejected/2017-11-18T20:25:06.174305.jpg,0.983749,0.171709,0.0233575,0.0250409,0.0397708,0.0,0.0,0.0,0.0,0.0,0.927514,0.364888,0.0484109,0.0199906,0.0618985,0.00072255,0.0,0.0,0.0,0.0,0.6581,0.741047,0.112786,0.0246377,0.0643317,0.0169726,0.0,0.0,0.0,0.0
0,../rejected/2017-11-18T20:25:08.691287.jpg,0.992609,0.0567651,0.0596911,0.0871958,0.018434,0.0,0.0,0.0,0.0,0.0,0.94088,0.298995,0.0228205,0.154271,0.0320186,0.00104788,0.0,0.0,0.0,0.0,0.741976,0.648424,0.0512726,0.136906,0.087244,0.00577153,0.0,0.0,0.0,0.0
0,../rejected/2017-11-18T20:25:17.510077.jpg,0.993285,0.0936853,0.0375599,0.0543485,0.0156244,0.000306361,0.0,0.0,0.0,0.0,0.899667,0.425459,0.043942,0.0778902,0.0398224,0.00083917,0.0,0.0,0.0,0.0,0.723133,0.6815
from __future__ import print_function
import numpy as np
import tflearn
from tflearn.data_utils import load_csv
data, labels = load_csv('extracted_histograms.csv', target_column=0, n_classes=2)
def preprocess(data, columns_to_ignore):
# Sort by descending id and delete columns
import numpy as np
import cv2
cap = cv2.VideoCapture(1)
cap.set(cv2.CAP_PROP_FRAME_HEIGHT,640)
cap.set(cv2.CAP_PROP_FRAME_WIDTH,480)
success, frame = cap.read()
cv2.imwrite('ELP_640_480.jpg',frame)
Bicycle data missing time or location, as percentages
year: time location
2006: 1.59 0.26
2007: 1.74 0.37
2008: 2.97 0.42
2009: 2.86 0.68
2010: 4.60 1.49
From
$ git clone http://github.com/ry/node.git
Initialized empty Git repository in /Users/danielharan/recoset/node/.git/
got f541043618b8e02d65590a60489601d886f85f7d
walk f541043618b8e02d65590a60489601d886f85f7d
Getting alternates list for http://github.com/ry/node.git
Getting pack list for http://github.com/ry/node.git
Getting index for pack a95bae93307c7b102d13cf6c0f110e29ecde36aa
Getting index for pack 3d8b7812c7467dcf06fbd126680512baa076c00f
Getting index for pack 6bbcda776e7940e5d997eb83e59acf1bc521bb7d
Getting index for pack b21dcb403ea73e8d045a00276e6b736280a9773b
has_many :connections, :foreign_key => "from_id"
has_many :favorites, :through => :connections, :source => :to
has_many :connections_as_target, :class_name => "Connection", :foreign_key => "to_id"
has_many :fans, :through => :connections_as_target, :source => :from
$ gem list aslak
*** LOCAL GEMS ***
aslakhellesoy-cucumber (0.3.7)
$ gem list cucumber # empty
$ rake...
@danielharan
danielharan / functional_reducer.rb
Created July 16, 2009 01:43
Refactoring an example from Hadoop: The Definitive Guide, 1st Edition
#!/usr/bin/env ruby
maxima = Hash.new(0)
STDIN.each_line do |line|
key,val = line.split("\t")
maxima[key] = [maxima[key], val.to_i].max
end
maxima.each do |key,val|