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ehza ehzawad

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View multidimensional_hella.cpp
#include <iostream>
using namespace std;
int main()
{
int ia [3][4] = {{0,1,2,3},{4,5,6,7},
{8,9,10,11}};
for ( auto p = begin(ia) ; p != end(ia) ; ++p )
View bashmyass.sh
#!/bin/sh
num=1
for file in *.jpg; do
mv "$file" "$(printf "%0.4d" $num).jpg"
let num=$num+1
done
View deep_learning_walkthrough.m
% load pretrained model
deepnet = alexnet;
img1 = imread('file01.jpg');
img2 = imread('file02.jpg');
img3 = imread('file03.jpg');
imshow(img1)
imshow(img2)
imshow(img3)
View Mikhail_research.tex
% Template file for a standard thesis
\documentclass[11pt]{isuthesis}
%\usepackage{chapterbib}
\usepackage[pdftex]{graphicx}
%\usepackage[T1]{fontenc} % This changes fonts to type 1 fonts the default in this package is type 3
% Standard, old-style thesis
\usepackage{isutraditional}
\chaptertitle
% Old-style, thesis numbering down to subsubsection
\alternate
View helllo-helo.m
clc
clear all
close all
Q = [16 11 10 16 24 40 51 61 ;
12 12 14 19 26 28 60 55 ;
14 13 16 24 40 57 69 56 ;
14 17 22 29 51 87 80 62 ;
18 22 37 56 68 109 103 77 ;
24 35 55 64 81 104 113 92 ;
View decompress_jpeg.m
clc
clear all
close all
Q = [16 11 10 16 24 40 51 61 ;
12 12 14 19 26 28 60 55 ;
14 13 16 24 40 57 69 56 ;
14 17 22 29 51 87 80 62 ;
18 22 37 56 68 109 103 77 ;
24 35 55 64 81 104 113 92 ;
View deploy.prototxt
input: "data"
input_shape {
dim: 1
dim: 3
dim: 300
dim: 300
}
layer {
name: "data_bn"
View subplotting.m
I_m1_1 = imread('10_random_saliency.png');
I_m1_2 = imread('27_random_saliency.png');
I_m2_1 = imread('10_Covsal.png');
I_m2_2 = imread('27_Covsal.png');
I_m3_1 = imread('10_LARK.png');
I_m3_2 = imread('27_LARK.png');
I_m4_1 = imread('10_UMH.png');
View guessing_threshold.m
clc
clear all
close all
I = imread('/Users/ehzawad/Desktop/footBall_orig.jpg');
I = rgb2gray(I);
I = double(I);
iteration = 500;
flattenImage = I(:)/255;
% disp(flattenImage);
View thresholding_estimation.m
clc
clear all
close all
I = imread('/Users/ehzawad/Desktop/footBall_orig.jpg');
% I = imread('peppers.png');
Im = rgb2gray(I);
% disp(Im);
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