Assignment 2-3.py

########## 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
import scipy.io as sio
import numpy as np
from scipy.spatial import distance
from numpy.matlib import repmat

foldername = '.'
filtername = 'mat'
foldercontents = os.listdir(foldername)

filteredcontents = [i for i in foldercontents if i.split('.')[-1] == filtername] 

minDis = []
	

for i in filteredcontents:
	filename = "D:/Coop/UCF_CC_50/" + str(i)
	data = sio.loadmat(filename) 
	print(filename)
	
	for i in range(len(data["annPoints"])):
		#print (str(i) + " x " + str(j[0]) + " y " + str(j[1]))
		j = data["annPoints"][i]
		distances = [] 
		
		jsCopy = repmat(j,data["annPoints"].shape[0],1)
		distances = (jsCopy - data["annPoints"])**2
		distances = np.sum(distances, axis =1)
		distances = np.sqrt(distances)
		
		#print("closest to " + str(i) + " is "+ str(np.argsort(distances)[1]))
		#print("closest to " + str(j) + " is "+ str(data["annPoints"][np.argsort(distances)[1]]))
	print ("**********************-------------end of file--------------**************")