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funcs.py
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funcs.py
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import math
def is_identical(list_a, list_b):
if len(list_a) != len(list_b):
return False
for i in list_a:
if i not in list_b:
return False
return True
def rTheyAllTheSame(group):
aux = group[0]
for i in group:
if not is_identical(aux, i):
return False
return True
def getAmplitude(group, channel):
minVal = 256
maxVal = 0
for i in group:
if i[channel] > maxVal:
maxVal = i[channel]
if i[channel] < minVal:
minVal = i[channel]
return maxVal-minVal
def getmaiorAmplitude(group):
greaterAmp = 0
greaterCh = 0
for i in range(3):
aux = getAmplitude(group, i)
if aux > greaterAmp:
greaterAmp = aux
greaterCh = i
return greaterCh
def medianSplit(group, channel, limitQuantization):
cutPos = math.floor(len(group)/2)
group.sort(key=lambda x: x[channel])
upCut = cutPos
downCut = cutPos
firstHalf = []
secondHalf = []
if downCut != 0:
while group[downCut-1][channel] == group[cutPos][channel]:
downCut -= 1
if downCut == 0:
break
if upCut+1 < (len(group)-1):
while group[upCut+1][channel] == group[cutPos][channel]:
upCut += 1
if upCut == (len(group)-1):
break
if upCut == downCut:
firstHalf = group[:cutPos]
secondHalf = group[cutPos:]
elif (cutPos - downCut) <= (upCut - cutPos):
firstHalf = group[:downCut]
secondHalf = group[downCut:]
elif (upCut - cutPos) < (cutPos - downCut):
firstHalf = group[:upCut+1]
secondHalf = group[upCut+1:]
else:
print("Algo errado aconteceu na medianSplit")
print(downCut, " ", cutPos, " ", upCut)
return firstHalf, secondHalf
def medianCut(image, limitQuantization):
group = []
for i in image:
for j in i:
group.append(j)
#para uma quantizacao de n bits setar limitQuantization em (2^n)-1
groups = []
groups.append(group)
auxGroups = []
globalLen = 1
flag = True
while flag:
for i in groups:
globalLen += 1
if globalLen >= limitQuantization:
auxGroups = groups[:]
flag = False
break
if rTheyAllTheSame(i):
auxGroups.append(i)
continue
if len(i) > 1:
channel = getmaiorAmplitude(i)
firstHalf = []
secondHalf = []
firstHalf, secondHalf = medianSplit(i, channel, limitQuantization)
auxGroups.append(firstHalf)
auxGroups.append(secondHalf)
else:
auxGroups.append(i)
groups = auxGroups[:]
auxGroups = []
globalLen = len(groups)
if globalLen >= limitQuantization:
return groups
if oneColorPerGroupCheck(groups):
return groups
return groups
def oneColorPerGroupCheck(groups):
for i in groups:
if not rTheyAllTheSame(i):
return False
return True
def cmpColors(c1,c2):
if len(c1) != len(c2):
print("SHIT")
for i in range(len(c1)):
if c1[i] != c2[i]:
return False
return True
def isColorInList(color, group):
for i in group:
if cmpColors(i,color):
return True
return False
def excludeRepeatedColors(group):
aux = []
for i in group:
if not isColorInList(i,aux):
aux.append(i)
return aux
def tuple2list(tupla):
lista = []
for i in tupla:
lista.append(i)
return lista
def getRepresentative(group):
freq = {}
for i in group:
if tuple(i) in freq.keys():
freq[tuple(i)] += 1
else:
freq[tuple(i)] = 1
maxOccur = 0
representative = tuple(group[0])
for i in freq.keys():
if freq[tuple(i)] >= maxOccur:
maxOccur = freq[tuple(i)]
representative = tuple(i)
representative = tuple2list(representative)
return representative
def constructImage(groups, image):
dicti = {}
for i in groups:
representative = getRepresentative(i)
iAux = excludeRepeatedColors(i)
for j in iAux:
dicti[tuple(j)] = representative
newImage = []
for i in image:
newImageRow = []
for j in i:
newImageRow.append(dicti[tuple(j)])
newImage.append(newImageRow)
return newImage