def calculate_Population_fitness(self, part):
# (h,w)
DomBlockSize = (16,16)
RanBlockSize = (8,8)
max_fitness = 1000000000
ranking = []
for chrom in part:
# genes
gen_x_dom = chrom[0:9]
gen_y_dom = chrom[9:18]
gen_flip = chrom[18:21]
# fenotypes
fen_xdom = int(gen_x_dom,2) # 2 for binary representation
fen_ydom = int(gen_y_dom,2)
fen_flip = int(gen_flip,2)
try:
DomBlk = self.Dom[fen_ydom:fen_ydom+DomBlockSize[0] ,fen_xdom:fen_xdom+DomBlockSize[1]]
except:
return "DomBlkError"
try:
DomBlk_hex = rgb2hex(DomBlk.copy())
except:
return "rgb2hexError"
try:
temp = get_scaled.geometric_transform(DomBlk_hex, resize_func, output_shape=RanBlockSize)
except:
return "transformError"
try:
DomBlk_subsampled = get_dihedrical_transf(temp,fen_flip)
except:
return "dihedrTransformError"
#p,q = calc_massic(DomBlk_subsampled,rngBlk)
try:
MSE = self.calculate_mse(DomBlk_subsampled)
except MSEError,E:
return E.reason
try:
rank = min(1/MSE,max_fitness)
except ZeroDivisionError:
rank = max_fitness
heappush(ranking,(rank,chrom))
def get_phenotype(chrom, Dom,DomBlockSize, RanBlockSize ):
gen_x_dom = chrom[0:9]
gen_y_dom = chrom[9:18]
gen_flip = chrom[18:21]
# fenotypes
fen_xdom = int(gen_x_dom,2) # 2 for binary representation
fen_ydom = int(gen_y_dom,2)
fen_flip = int(gen_flip,2)
DomBlk = Dom[fen_ydom:fen_ydom+DomBlockSize[0] ,fen_xdom:fen_xdom+DomBlockSize[1]]
DomBlk_hex = rgb2hex(DomBlk.copy())
temp = get_scaled.geometric_transform(DomBlk_hex, resize_func, output_shape=RanBlockSize)
DomBlk_subsampled = get_dihedrical_transf(temp,fen_flip)
return DomBlk_subsampled
def next_rangBlk(self):
for i in xrange (int(self.w/8)):
for j in xrange (int(self.h/8)):
ranBlk = self.Dom[j*self.RanBlockSize[0]:j*self.RanBlockSize[0]+ self.RanBlockSize[0], i*self.RanBlockSize[1]:i*self.RanBlockSize[1]+self.RanBlockSize[1]]
self.curr_ranBlk = rgb2hex(ranBlk.copy())
for fit_calculator in self.fit_calculators:
self.work_queue.put("Next_ranBlk")
self.start_fit_calc.set()
ACKS = []
while len(ACKS) < len(self.fit_calculators):
ACKS.append(self.result_queue.get())
self.start_fit_calc.clear()
yield self.curr_ranBlk
def show_chrom(chrom, Dom, DomBlockSize ):
RanBlockSize = (8,8)
gen_x_dom = chrom[0:9]
gen_y_dom = chrom[9:18]
gen_flip = chrom[18:21]
# fenotypes
fen_xdom = int(gen_x_dom,2) # 2 for binary representation
fen_ydom = int(gen_y_dom,2)
fen_flip = int(gen_flip,2)
DomBlk = Dom[fen_ydom:fen_ydom+DomBlockSize[0] ,fen_xdom:fen_xdom+DomBlockSize[1]]
DomBlk_hex = rgb2hex(DomBlk.copy())
temp = get_scaled.geometric_transform(DomBlk_hex, resize_func, output_shape=RanBlockSize)
DomBlk_subsampled = get_dihedrical_transf(temp,fen_flip)
DomBlk_subsampled = DomBlk_subsampled.copy()
pilImage = Image.frombuffer('RGBA',DomBlk_subsampled.shape,DomBlk_subsampled,'raw','RGBA',0,1) #for rgba
#pilImage = Image.frombuffer('RGBA',DomBlk_hex.shape,DomBlk_hex,'raw','RGBA',0,1) #for rgba
imshow(pilImage.transpose(1))
def next_rangBlk(self):
for i in xrange (int(self.w/8)):
for j in xrange (int(self.h/8)):
ranBlk = self.Dom[j*self.RanBlockSize[0]:j*self.RanBlockSize[0]+ self.RanBlockSize[0], i*self.RanBlockSize[1]:i*self.RanBlockSize[1]+self.RanBlockSize[1]]
self.ranBlk = rgb2hex(ranBlk.copy())
yield None
