muthuspark

from skimage import color
from skimage.io import imsave

lab_img = color.rgb2lab(cimage)
copy_img = np.copy(cimage)
L_img = lab_img[:, :, 0]
A_img = lab_img[:, :, 1]
B_img = lab_img[:, :, 2]

# green a > -35

muthuspark

from skimage import color
from skimage.io import imsave
lab_img = color.rgb2lab(cimage)
copy_img = np.copy(cimage)
L_img = lab_img[:, :, 0]
A_img = lab_img[:, :, 1]
B_img = lab_img[:, :, 2]
x,y,z = lab_img.shape
for xi in range(x):
 for yi in range(y):

muthuspark

// the code will also try to center the element on the page. 
var ElementScrollTo = {
    documentVerticalScrollPosition: function() {
        if (self.pageYOffset) return self.pageYOffset; // Firefox, Chrome, Opera, Safari.
        if (document.documentElement && document.documentElement.scrollTop) return document.documentElement.scrollTop; // Internet Explorer 6 (standards mode).
        if (document.body.scrollTop) return document.body.scrollTop; // Internet Explorer 6, 7 and 8.
        return 0; // None of the above.
    },

    viewportHeight: function() {

muthuspark

The sequence of steps lets me download an APK of any app I have downloaded from the playstore.

1. install the app from playstore in the app or emulator. example instagram
2. get the name of the package of the app I am interested in, this can also be taken from the playstore URL, 
``adb shell pm list packages | grep instagram``
3. get the location of the apk in the phone
``adb shell pm path com.instagram.android``
4. download the app to the local system
``adb pull /data/app/com.instagram.android-XJc0EbhiBn-d0G4UmdnmgQ==/base.apk``

muthuspark

# A list of the keys of dictionary
list_keys = [ k for k in dict ]
 
# or a list of the values
list_values = [ v for v in dict.values() ]
 
# or just a list of the list of key value pairs
list_key_value = [ [k,v] for k, v in dict.items() ]

muthuspark

X = [0,0,0,0,0,0,0,0,0,1,1,1,1,1,0,0,0,1,0,1,1,1,1,0,0,0,1,1,1,0,0,0,0,1]

def run_length_smoothing(X, run_length_width):
    block = []
    for index, intensity in enumerate(X):  
   

    if intensity == 1 and len(block) <= run_length_width:
            for j in block:
                X[j] = 1

muthuspark

import os
import requests

img_to_upload = '/Users/muthukrishnan/Pictures/15566790261881556159500299IMG_20190330_120119.jpg'

url = "http://localhost:5000/api/document/page-extract"

uploaded_img_path = ''
with open(img_to_upload, 'rb') as img:
    name_img = os.path.basename(img_to_upload)

muthuspark

%matplotlib inline
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
from sklearn.datasets.samples_generator import make_blobs

class K_Means:
    
    def __init__(self, k=3, max_iterations = 500):
        self.k = k

muthuspark

var AWS = require('aws-sdk');

AWS.config.update({
    accessKeyId: "ACCESS_KEY",
    secretAccessKey: "SECRET_ACCESS_KEY"
});

// Create an S3 client
var s3 = new AWS.S3();

muthuspark

var q = require('q');
var AWS = require('aws-sdk');

AWS.config.update({
    accessKeyId: "131231",
    secretAccessKey: "23135124"
});

// Create an S3 client
var s3 = new AWS.S3();