anubhavsinha

# Running first a gaussian blur (kernel size = 3) 
# and then Canny edge detection (low/high = 1:2 or 1:3) 
# is a handy way to get the boundaries
from matplotlib import image
from matplotlib import pyplot
import numpy
import cv2

view_from_windshield = image.imread('test.jpg')
working_copy = numpy.copy(view_from_windshield)

anubhavsinha

# Region masking is a technique used to run a image processing or computer vision task within a specific region of interest
# Step 1. Build a selector for the region
# Step 2. Build a selector for the pixels of interest
# Step 3. AND the two selectors. It's that simple.

from matplotlib import image
from matplotlib import pyplot
import numpy

view_from_windshield = image.imread('test.jpg')

anubhavsinha

# Color selection
# Step1. Read the image
# Step2. Set the threshold (In our case it is to filter out everything except white)
# Step3. Build a selector and 
# Steo4. Apply the selector
# Picking the right color model is very important for a successful computer vision task.
# LUV, HSV, RGB, L*a*b etc.
# To be able to read the image file we will use the image package from matplotlib
from matplotlib import image
# To be able to render or plot the image we will use the pyplot package from matplotlib

anubhavsinha

du -sh */ 

anubhavsinha

import MySQLdb
connection = MySQLdb.connect (host = db_host, user = "yaacdev" , passwd = "yaacmydev", db = "mintshowapp_live")
cursor = connection.cursor (MySQLdb.cursors.DictCursor)
query='sql query'
cursor.execute (query)
data = cursor.fetchall()

anubhavsinha

git reset --hard af55c4e
git push -f origin HEAD:branch-name

anubhavsinha

# Simple CLI life-hack of the day to find 'password' on your target drives, 
# even if it is deleted. Do keep it short burst to avoid behavioral detection.
sudo strings /dev/sdc | grep -c100 "password"

anubhavsinha

#hide
defaults write com.apple.finder CreateDesktop -bool false && killall Finder
#show
defaults write com.apple.finder CreateDesktop -bool true && killall Finder

anubhavsinha

#!/bin/bash
# Both the CLI and generated project have dependencies that require Node 6 or higher, together with NPM 3 or higher.
# On Ubuntu 16
# sudo apt-get update
curl -sL https://deb.nodesource.com/setup_7.x | sudo -E bash -
sudo apt-get install -y nodejs # this installs both node and npm
# sudo ln -s /usr/bin/nodejs /usr/bin/node
sudo npm install -g @angular/cli
ng help
# sudo npm install extract-text-webpack-plugin@2.0.0-rc.0 --save-dev # https://github.com/angular/angular-cli/issues/4264

anubhavsinha

 ps aux  | awk '{print $6/1024 " MB\t\t" $11}'  | sort -n