IAmSuyogJadhav

On Local System

1. Run the following command to generate a key.

$ ssh-keygen

You'll be asked to enter passphrase. You can leave that empty.

Enter passphrase (empty for no passphrase):
Enter same passphrase again:

IAmSuyogJadhav

On Local System

1. Run the following command to generate a key.

$ ssh-keygen

You'll be asked to enter passphrase. You can leave that empty.

Enter passphrase (empty for no passphrase):
Enter same passphrase again:

IAmSuyogJadhav

Session {Session no.}

{Session Title} Conducted on: {Date}

Agenda

{A short outline of the session}

IAmSuyogJadhav

Abstract

FaceSearch: Searches for faces in a given image using OpenCV and the Google Reverse Image Search engine.

Installation

1. Directly download the latest release from the releases page.

OR 2. First clone this repo. Now, to install the dependencies and create the alias for FaceSearch, run the install.sh.

IAmSuyogJadhav

#Generate root password
import random, string
password = ''.join(random.choice(string.ascii_letters + string.digits) for i in range(20))

#Download ngrok
! wget -q -c -nc https://bin.equinox.io/c/4VmDzA7iaHb/ngrok-stable-linux-amd64.zip
! unzip -qq -n ngrok-stable-linux-amd64.zip
#Setup sshd
! apt-get install -qq -o=Dpkg::Use-Pty=0 openssh-server pwgen > /dev/null
#Set root password

IAmSuyogJadhav

IAmSuyogJadhav

IAmSuyogJadhav

import cv2
import numpy as np

image_path = 'path/to/image'  # Path to the input image
bgcolor = [255, 255, 255]  # BGR value of background color.

img = cv2.imread(image_path)
img = cv2.cvtColor(img, cv2.COLOR_BGR2BGRA)

img[np.all(img == bgcolor + [255], axis=2)] = [0,0,0,0]

IAmSuyogJadhav

GSoC-2018 Contribution - by Naveen

This summer has been awesome contributing to AOSSIE working with awesome mentors. Got to develop my skillset further by a level in the field of web technology.

I contributed to the Carbon Footprint project. Project URL : https://gitlab.com/aossie/CarbonFootprint

Carbon Footprint is an extension for all browsers which displays carbon footprint information in multiple maps, flights, trains, buses services.

The goals I completed during GSoC are :-

IAmSuyogJadhav

import cv2

image = cv2.imread('test.jpg')
overlay = image.copy()

x, y, w, h = 10, 10, 10, 10  # Rectangle parameters
cv2.rectangle(overlay, (x, y), (x+w, y+h), (0, 200, 0), -1)  # A filled rectangle

alpha = 0.4  # Transparency factor.