Ehsan1997

"""
This function can be used to read the images from the dataset created by the patchify_dataset.py.
Example Usage:
X_test, y_test = get_images("ModMonuSeg/Test/", (im_width, im_height), gt_extension='png')
"""
def get_images(parent_dir, im_shape, img_folder="TissueImages/", gt_folder="GroundTruth/", gt_extension=None):
  tissue_dir = parent_dir + img_folder
  gt_dir = parent_dir + gt_folder

  im_width, im_height = im_shape

Ehsan1997

from selenium import webdriver
from selenium.webdriver.firefox.options import Options
import time
import urllib.request
from PIL import Image
import os

def cr_folder(folder_name):
    if not os.path.exists(folder_name):
        os.makedirs(folder_name)

Ehsan1997

Ehsan1997

Ehsan1997

#Author : Muhammad Ehsan ul Haq

#Read the data from the text file
dataAlpha = read.table("dataAlpha.txt", header = TRUE) 
dataBravo = read.table("dataBravo.txt", header = TRUE)
#number of no-responses
noResponseAlpha = sum(dataAlpha == -1)
noResponseBravo = sum(dataBravo == -1)

print(sprintf("Number of no Responses in Alpha = %d", noResponseAlpha))

Ehsan1997

//Author Name : Muhammad Ehsan ul Haq
fun main(args : Array<String>) {
                                    //active probability  totalRate/UserNeededRate   Required probability
    var Users =  UsersNumberPrediction(0.25,                    8000/500,                       0.9)
    println("Number of Users that can be connected simultaneously using Packet Switching = " + Users)
    println("SMG = " + Users.toDouble()/(8000.0/500.0))
}

fun factorial(A: Int) : Double{
    if(A <= 1)