The easiest way to get the ClamAV package is using Homebrew
$ brew install clamav
Before trying to start the clamd
process, you'll need a copy of the ClamAV databases.
Create a freshclam.conf
file and configure as so
The easiest way to get the ClamAV package is using Homebrew
$ brew install clamav
Before trying to start the clamd
process, you'll need a copy of the ClamAV databases.
Create a freshclam.conf
file and configure as so
My first D3 map showing my travel across the US. This visualization was built by modifying choropleth example code by Scott Murray, tooltip example code by Malcolm Maclean, and legend code example by Mike Bostock.
Just a quickie test in Python 3 (using Requests) to see if Google Cloud Vision can be used to effectively OCR a scanned data table and preserve its structure, in the way that products such as ABBYY FineReader can OCR an image and provide Excel-ready output.
The short answer: No. While Cloud Vision provides bounding polygon coordinates in its output, it doesn't provide it at the word or region level, which would be needed to then calculate the data delimiters.
On the other hand, the OCR quality is pretty good, if you just need to identify text anywhere in an image, without regards to its physical coordinates. I've included two examples:
####### 1. A low-resolution photo of road signs
THIS GIST WON'T BE UPDATED ANY MORE (24/10/18)
Follow the progress of this project here 3os.org Raspberry Pi 3 TOR Access Point Router Project
Network: Router RJ45 <--> Ethernet Port on Raspberry <--> TOR <--> Raspberry WIFI AC <--> WIFI CLIENT
# -- Download Rasbian Strech Lite from: https://www.raspberrypi.org/downloads/raspbian/
The state of Iowa has released an 800MB+ dataset of more than 3 million rows showing weekly liquor sales, broken down by liquor category, vendor, and product name, e.g. STRAIGHT BOURBON WHISKIES
, Jim Beam Brands
, Maker's Mark
This dataset contains the spirits purchase information of Iowa Class “E” liquor licensees by product and date of purchase from January 1, 2014 to current. The dataset can be used to analyze total spirits sales in Iowa of individual products at the store level.
You can view the dataset via Socrata
#!/usr/bin/ruby | |
# For an OO language, this is distinctly procedural. Should probably fix that. | |
require 'json' | |
details = Hash.new({}) | |
capture_params = [ | |
{ :name => "title", :message => "Enter project name." }, | |
{ :name => "url", :message => "Enter the URL of the project repository." }, |
#!/usr/bin/env python | |
import cv2 | |
import numpy as np | |
def main(): | |
cap = cv2.VideoCapture(0) | |
while(cap.isOpened()): | |
ret, img = cap.read() | |
skinMask = HSVBin(img) |
import networkx as nx | |
import plotly.graph_objects as go | |
def plotly_DAG(nx_dag, node_description_dict): | |
""" | |
nx_dag: a networkX directed acyclic graph | |
node_description_dict: a nested dictionary that contains node attributes to show on hover | |
eg. { | |
'node_A':{'property_1':'value_A_1', 'property_2':'value_A_2'}, | |
'node_B':{'property_1':'value_B_1', 'property_2':'value_B_2'} |
/** | |
* This gulpfile will copy static libraries and a index.html file as well as | |
* merge, babelify and uglify the rest of the javascript project. | |
* | |
* TODO: | |
* - Separate media, libs and src with different watchers. | |
* - Media and libs should only be copied to dist if they are different sizes. | |
* | |
* The expected project is to be laid out as such: | |
* |