tekemperor

sudo service bluetooth status  # Verify bluetooth is active.
sudo bluetoothctl              # Lauch bluetooth subshell.
agent on                       # [No idea what this does.]
default-agent                  # [No idea what this does.]
scan on                        # Displays a list of available devices.
pair XX:XX:XX:XX:XX:XX         # This prepares a potential connection, the X's represent your device ID
# A "PIN code" will be displayed, type it on the keyboard and press "enter".
trust XX:XX:XX:XX:XX:XX        # Adds device to trusted devices, this survives reboot.
connect XX:XX:XX:XX:XX:XX      # Connect to the device now.
exit                           # Return to previous shell.

sofyan-ahmad

# Make sure you grab the latest version
curl -OL https://github.com/google/protobuf/releases/download/v3.2.0/protoc-3.2.0-linux-x86_64.zip

# Unzip
unzip protoc-3.2.0-linux-x86_64.zip -d protoc3

# Move protoc to /usr/local/bin/
sudo mv protoc3/bin/* /usr/local/bin/

# Move protoc3/include to /usr/local/include/

sdorra

/*
 * Genarate rsa keys.
 */

package main

import (
	"crypto/rand"
	"crypto/rsa"
	"crypto/x509"

dannguyen

Using Python 3 + Google Cloud Vision API's OCR to extract text from photos and scanned documents

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

vasanthk

System Design Cheatsheet

Picking the right architecture = Picking the right battles + Managing trade-offs

Basic Steps

1. Clarify and agree on the scope of the system

• User cases (description of sequences of events that, taken together, lead to a system doing something useful)
  • Who is going to use it?
  • How are they going to use it?

apolloclark

AWS CLI Cheatsheet

http://docs.aws.amazon.com/IAM/latest/UserGuide/best-practices.html https://www.youtube.com/watch?v=_wiGpBQGCjU

Setup

julz

package main

import (
	"fmt"
	"os"
	"os/exec"
	"syscall"
)

func main() {

gene1wood

{
    "APIGatewayServiceRolePolicy": {
        "Arn": "arn:aws:iam::aws:policy/aws-service-role/APIGatewayServiceRolePolicy",
        "AttachmentCount": 0,
        "CreateDate": "2019-10-22T18:22:01+00:00",
        "DefaultVersionId": "v6",
        "Document": {
            "Statement": [
                {

mat

“apple-app-site-association” file

One file for each domain, both www.example.com and example.com need separate files:

{
    "applinks": {
        "apps": [],
        "details": {
 "9JA89QQLNQ.com.apple.wwdc": {

manifestinteractive

\n
=============  HOST:  ==========\n
\n
           local_ip:  %{local_ip}\n
         local_port:  %{local_port}\n
          remote_ip:  %{remote_ip}\n
        remote_port:  %{remote_port}\n
\n
=======  CONNECTION:  ==========\n
\n