rajathithan

# Author - Rajathithan Rajasekar 

import base64
import json
from datetime import datetime
from google.cloud import storage
import requests

def process_log_entry(data, context):
    data_buffer = base64.b64decode(data["data"])

rajathithan

# Author - Rajathithan Rajasekar 

import base64
import json
from datetime import datetime
from google.cloud import storage
import requests

def process_log_entry(data, context):
    data_buffer = base64.b64decode(data["data"])

rajathithan

# Author - Rajathithan Rajasekar 

import base64
import json
from datetime import datetime
from google.cloud import storage
import requests

def process_log_entry(data, context):
    data_buffer = base64.b64decode(data["data"])

rajathithan

#! /bin/bash
# Author - Rajathithan Rajasekar 

# install gcp logging agent
curl -sSO https://dl.google.com/cloudagents/install-logging-agent.sh
sudo bash install-logging-agent.sh

# setup a configuration for startup-script logs only
sudo cat > /etc/google-fluentd/config.d/service-now-test.conf <<- EOM
<source>

rajathithan

# Script to retrieve compute engine details.
# Author - Rajathithan Rajasekar - 03/03/2020

from pprint import pprint

from googleapiclient import discovery
from oauth2client.client import GoogleCredentials

import re
import sys

rajathithan

#!/bin/bash
# Script to retrieve compute engine details.
# Author - Rajathithan Rajasekar - 03/03/2020

echo "PROJECT NAME, INSTANCE NAME , ZONE , MACHINE-TYPE , OPERATING SYSTEM , CPU , MEMORY , DISK SIZE" > compute-engine-details.csv
prjs=( $(gcloud projects list | tail -n +2 | awk {'print $1'}) )
for i in "${prjs[@]}"
    do
        echo "@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@" >> list.txt
        echo "Setting Project: $i" >> list.txt

rajathithan

import cv2
import imutils

cap = cv2.VideoCapture(0)

t = cv2.getTickCount()
count = 0
fps = 60.0

while(True):

rajathithan

import cv2
import imutils
import dlib
import sys
from renderface2 import renderFace2

# Capture the webcam feed
cap = cv2.VideoCapture(0)

# 68 point face model

rajathithan

def drawPolyline(im, landmarks, start, end, isClosed=False):
  points = []
  for i in range(start, end+1):
    point = [landmarks.part(i).x, landmarks.part(i).y]
    points.append(point)

  points = np.array(points, dtype=np.int32)
  cv2.polylines(im, [points], isClosed, (255, 200, 0), thickness=2, lineType=cv2.LINE_8)

# Use this function for 68-points facial landmark detector model

rajathithan

#!/bin/bash
# Script to retrieve GCP IAM roles, users and serviceaccounts
# Author - Rajathithan Rajasekar - 03/03/2020
# Update - 07/12/2023
gcloud config set accessibility/screen_reader False
echo 'project-name,roles/rolename,user:username-and-serviceaccounts' > iamlist.csv
prjs=( $(gcloud projects list | tail -n +2 | awk {'print $1'}) )
for i in "${prjs[@]}"
	do
		echo "@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@"