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##### Exercise 6 Create Voronoi diagram from UCF_CC annotations 
#####            
##### 24/04/2018
##### Nithikan Srinakrung - Bam
##### DFL, FTSM, UKM




import cv2

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##### Exercise 5 Read an image from UCF Crowd dataset and draw lines between people.
#####            Lines are between a person and 10 of the most far people from that person.
##### 18/04/2018
##### Nithikan Srinakrung - Bam
##### DFL, FTSM, UKM

import cv2
import scipy.io as sio
import numpy as np
from numpy.matlib import repmat

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##### Exercise 4 Pick two points on an image, draw a thick red between these points
#####            and show the image.
##### 17/04/2018
##### Nithikan Srinakrung - Bam
##### DFL, FTSM, UKM

import cv2
import random
import numpy as np
import matplotlib.pyplot as plt

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##### Exercise 3 Take a one dimensional array of any site (length) and
#####            create a two dimentional array out of it with the same elements.
##### 16/04/2018
##### Nithikan Srinakrung - Bam
##### DFL, FTSM, UKM

import numpy as np

def dimension(array,number_of_rows): 
	result = np.zeros([number_of_rows,len(array)])

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##### Exercise 2 Write a function that creates an array based on the function parameter.
#####            Function will populate the array with consecutive numbers, then scale them.  
##### 12/04/2018
##### Nithikan Srinakrung - Bam
##### DFL, FTSM, UKM

import numpy as np
import time

def scale_number (a,b):

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##### Exercise 1 Write function that tests an array for 
#####            its length not bigger than a certain value
##### 11/04/2018
##### Nithikan Srinakrung - Bam
##### DFL, FTSM, UKM


def compare (a,lim):
	if lim >= len(a):

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########## Assignment 2-3 Closest person to each person in each image
##########       - Calculate the Euclidean Distance between every pair in every annotation
##########       - Match everyone with their closet
########## 10/04/2018
########## Nithikan Srinakrung - Bam
########## DF4, FTSM, UKM



import os,sys

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##### Assignment 2-2 Center point of the crowd in each image
#####	 -> Accumulate x and y positions and divide by person count  
##### 04/04/2018
##### Nithikan Srinakrung - Bam
##### DF4, FTSM, UKM

import os,sys
import scipy.io as sio
import numpy as np

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##### Assignment 2-1  :  
##### Total number of people in all images.
#####     -> Accumulate the numbers that took from annotations.
##### 03/04/2018 TUE
##### Nithikan Srinakrung - Bam
##### DF4, FTSM, UKM

import os
import scipy.io as sio

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#################################
#         Assignment 1          #
#    Read every mat file in     #  
#    a folder and plot the      #
#    annotation counts they     #
#    contain.	                #
#                               #
#   Author : Nithikan (Bam)     #
#   Date : 02.04.2018           #
#                               #