Fabion Kauker fhk

## osx_port_scan.sh
#!/bin/bash

# Turn on job control to do more than one at a time
set -m

# Check to see if Homebrew is installed, and install it if it is not
command -v brew >/dev/null 2>&1 || { echo >&2 "You will need Homebrew to use this tool, installing now"; /usr/bin/ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"; }

# Check to see if `netcat` is installed, install it if it is not
command -v netcat >/dev/null 2>&1 || { echo >&2 "You will also need netcat in order to use this tool, installing it now"; brew install netcat; }

## README.md

      
              2 files
            
          
              0 forks
            
          
              0 comments
            
          
              1 star
            
          
                meetps
                / README.md
            
            
              Created
              March 24, 2016 18:48
                — forked from dannguyen/README.md
            
              
                Using Google Cloud Vision API to OCR scanned documents to extract structured data
              
          
    Using 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

  
## chainer_ca.py
import argparse
import numpy as np
from chainer import Variable, FunctionSet, optimizers, cuda
import chainer.functions  as F
import cv2
import random
import cPickle as pickle
import sys

class ConvolutionalAutoencoder(FunctionSet):

## Dockerfile
# Last updated: 08/24/2916
#
# Total instructions available: 18
#
# https://docs.docker.com/engine/reference/builder/
#
# You can use a .dockerignore file in the same context directory as
# your Dockerfile to ignore files in the context before sending them
# to the Docker daemon for building to speed up building.

## ffmpeg-compress-mp4
$ ffmpeg -i input.mp4 -vcodec h264 -acodec mp2 output.mp4

## compiling_building_c_cpp_notes.md

      
              1 file
            
          
              51 forks
            
          
              14 comments
            
          
              324 stars
            
          
                gubatron
                / compiling_building_c_cpp_notes.md
            
            
              Last active
              April 18, 2024 07:58
            
              
                Things to remember when compiling and linking C/C++ programs
              
          
    Things to remember when compiling/linking C/C++ software

by Angel Leon. March 17, 2015;
Last update on December 14, 2023
Updated on February 27, 2023
Updated August 29, 2019.

  
## Python concave hull ( alpha shape ) .md

      
              1 file
            
          
              4 forks
            
          
              0 comments
            
          
              19 stars
            
          
                hellpanderrr
                / Python concave hull ( alpha shape ) .md
            
            
              Last active
              April 27, 2022 22:51
            
              
                Concave hull in python using scipy and networkx
              
          
    from scipy.spatial import Delaunay, ConvexHull
import networkx as nx
 
points = [ [0,0],[0,50],[50,50],[50,0],[0,400],[0,450],[50,400],[50,450],[700,300],[700,350],[750,300],[750,350],
          [900,600],[950,650],[950,600],[900,650]
]
def concave(points,alpha_x=150,alpha_y=250):
    points = [(i[0],i[1]) if type(i) <> tuple else i for i in points]
    de = Delaunay(points)

  
## extract-attachments.py
#!/usr/bin/env python3
# Get your files that Gmail block. Warning message:
# "Anti-virus warning - 1 attachment contains a virus or blocked file. Downloading this attachment is disabled."
# Based on: https://spapas.github.io/2014/10/23/retrieve-gmail-blocked-attachments/

# Instructions:
# Go to your emails, click the arrow button in the top right, "Show original", then "Download Original".
# Move the files to the same directory as this program, then run it.

import sys

## index.html
<!doctype html>
<html>
  <head>
    <title>This is the title of the webpage!</title>
  </head>
  <body>
    <p>This is an example paragraph. Anything in the <strong>body</strong> tag will appear on the page, just like this <strong>p</strong> tag and its contents.</p>
  </body>
</html>

## _verify-repair-permissions-disk.md

      
              4 files
            
          
              105 forks
            
          
              20 comments
            
          
              456 stars
            
          
                bzerangue
                / _verify-repair-permissions-disk.md
            
            
              Last active
              June 2, 2024 09:37
            
              
                Mac OS X Utilities via Terminal: (Verify and Repair: Disk Permissions AND Disk / Software Update / TimeMachine)
              
          
    Verify and Repair Disk Permissions via Terminal (Mac OS X)

Verify Permissions
diskutil verifyPermissions /
Repair Permissions
diskutil repairPermissions /
	#!/bin/bash

	# Turn on job control to do more than one at a time
	set -m

	# Check to see if Homebrew is installed, and install it if it is not
	command -v brew >/dev/null 2>&1 \|\| { echo >&2 "You will need Homebrew to use this tool, installing now"; /usr/bin/ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"; }

	# Check to see if `netcat` is installed, install it if it is not
	command -v netcat >/dev/null 2>&1 \|\| { echo >&2 "You will also need netcat in order to use this tool, installing it now"; brew install netcat; }
	import argparse
	import numpy as np
	from chainer import Variable, FunctionSet, optimizers, cuda
	import chainer.functions as F
	import cv2
	import random
	import cPickle as pickle
	import sys

	class ConvolutionalAutoencoder(FunctionSet):
	# Last updated: 08/24/2916
	#
	# Total instructions available: 18
	#
	# https://docs.docker.com/engine/reference/builder/
	#
	# You can use a .dockerignore file in the same context directory as
	# your Dockerfile to ignore files in the context before sending them
	# to the Docker daemon for building to speed up building.
	#!/usr/bin/env python3
	# Get your files that Gmail block. Warning message:
	# "Anti-virus warning - 1 attachment contains a virus or blocked file. Downloading this attachment is disabled."
	# Based on: https://spapas.github.io/2014/10/23/retrieve-gmail-blocked-attachments/

	# Instructions:
	# Go to your emails, click the arrow button in the top right, "Show original", then "Download Original".
	# Move the files to the same directory as this program, then run it.

	import sys
	<!doctype html>
	<html>
	<head>
	<title>This is the title of the webpage!</title>
	</head>
	<body>
	<p>This is an example paragraph. Anything in the <strong>body</strong> tag will appear on the page, just like this <strong>p</strong> tag and its contents.</p>
	</body>
	</html>