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## ReactJSLibraryList.md

      
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              January 20, 2019 11:00
            
              
                [ReactJS Library List] List of React JS Library that make your life easier. #react #reactjs #javascript
              
          
    Init Project


ReactJS - Create React apps with no build configuration.
Razzle - Create server-rendered universal JavaScript applications with no configuration
Next.js - The React Framework

Styling


Styled-Component - Visual primitives for the component age. Use the best bits of ES6 and CSS to style your apps without stress
Animate.css - CSS Animatino Library


## RGBtoHSV.py
"""
@author : Ida Bagus Dwi Satria Kusuma - @dskusuma
Notes   :
There are two kind of solutions. The first is solution using the Open-CV's
library. The second is without the library.
"""

import numpy as np
import cv2

## RGBtoGrayscale.py
"""
@author : Ida Bagus Dwi Satria Kusuma - @dskusuma
Notes   :
There are two kind of solutions. The first is solution using the Open-CV's
library. The second is without the library.
"""

import numpy as np
import cv2

## RGBtoBinary.py
"""
@author : Ida Bagus Dwi Satria Kusuma - @dskusuma
Notes   :
There are two kind of solutions. The first is solution using the Open-CV's
library. The second is without the library.
"""

import numpy as np
import cv2

## noiseGaussian.m
% Read Image
img = imread('....');

% Create Noise Image
noiseGaussianImage = imnoise(img,'gaussian');

## index.html
<body>
  <div class="container">
    <div class="well">
      <h1 class="text-center"> John Lasseter</h1>
      <h3 class="text-center"> The Man behind Pixar </h2>
      <div class="text-center">
        <img src="https://upload.wikimedia.org/wikipedia/commons/1/17/John_Lasseter_2_cropped_2009.jpg" />
      </div>
      <!-- content goes here -->
      <div>

## pythonRoundToMultipleOfNumber.py
def myround(x, base=5):
    return int(base * round(float(x)/base))

## histogramAlgorithm
histogram(pic) := | for bright in 0..255
                  |   pixels_at_level_bright = 0
                  | for x in 0 .. cols(pic) - 0
                  |   for y in 0 .. rows(pic) - 1
                  |     | level = pic(y,x)
                  |     | pixels_at_level(level) = pixels_at_level(level) + 1
                  | pixels_at_level

## kelompokkanKelasData.m
% Misal kita memiliki matriks data dengan 3 atribut dan kelas dari data
% Misal nama matriks data adalah 'data_latih'
% matriks data akan berbentuk seperti ini :
% Atribut1  | Atribut2  | Atribut 3| Kelas |
% a1        | a2        | a3       | 0     |
% b1        | b2        | b3       | 0     |
% c1        | c2        | c3       | 0     |
% d1        | d2        | d3       | 1     |
% e1        | e2        | e3       | 1     |
% f1        | f2        | f3       | 2     |

## readAllImagesFromFolder.m
% Get list of all JPG files in this directory
% DIR returns as a structure array.  You will need to use () and . to get
% the file names.

imagefiles = dir('*.jpg');
nfiles = length(imagefiles);    % Number of files found
for ii=1:nfiles
   currentfilename = imagefiles(ii).name;
   currentimage = imread(currentfilename);
   images{ii} = currentimage;
	"""
	@author : Ida Bagus Dwi Satria Kusuma - @dskusuma
	Notes :
	There are two kind of solutions. The first is solution using the Open-CV's
	library. The second is without the library.
	"""

	import numpy as np
	import cv2
	% Read Image
	img = imread('....');

	% Create Noise Image
	noiseGaussianImage = imnoise(img,'gaussian');
	<body>
	<div class="container">
	<div class="well">
	<h1 class="text-center"> John Lasseter</h1>
	<h3 class="text-center"> The Man behind Pixar </h2>
	<div class="text-center">
	<img src="https://upload.wikimedia.org/wikipedia/commons/1/17/John_Lasseter_2_cropped_2009.jpg" />
	</div>
	<!-- content goes here -->
	<div>
	def myround(x, base=5):
	return int(base * round(float(x)/base))
	histogram(pic) := \| for bright in 0..255
	\| pixels_at_level_bright = 0
	\| for x in 0 .. cols(pic) - 0
	\| for y in 0 .. rows(pic) - 1
	\| \| level = pic(y,x)
	\| \| pixels_at_level(level) = pixels_at_level(level) + 1
	\| pixels_at_level
	% Misal kita memiliki matriks data dengan 3 atribut dan kelas dari data
	% Misal nama matriks data adalah 'data_latih'
	% matriks data akan berbentuk seperti ini :
	% Atribut1 \| Atribut2 \| Atribut 3\| Kelas \|
	% a1 \| a2 \| a3 \| 0 \|
	% b1 \| b2 \| b3 \| 0 \|
	% c1 \| c2 \| c3 \| 0 \|
	% d1 \| d2 \| d3 \| 1 \|
	% e1 \| e2 \| e3 \| 1 \|
	% f1 \| f2 \| f3 \| 2 \|
	% Get list of all JPG files in this directory
	% DIR returns as a structure array. You will need to use () and . to get
	% the file names.

	imagefiles = dir('*.jpg');
	nfiles = length(imagefiles); % Number of files found
	for ii=1:nfiles
	currentfilename = imagefiles(ii).name;
	currentimage = imread(currentfilename);
	images{ii} = currentimage;