def process(self,matrix):
lMatrix = matrix
matrix = tn.matrix2numpy(matrix.getMatrix())
# hungarian_pairs = self._context["pairs"]
# minDim = min(lMatrix._width, lMatrix._height)
# m = [array('f',[1.0 for _ in xrange(lMatrix._min)]) for _ in xrange(lMatrix._min)]
# clean_matrix = tn.matrix2numpy(m)
lClean_matrix = LinedMatrix(lMatrix._min,lMatrix._min, 1.0)
# lClean_matrix.convertMatrix(m)
# pairs = copy.copy(self._context["pairs"])
pairs = self._context['pairs']
l = pairs[0:lMatrix._min]
l.sort()
new_pairs = []
for i,j in enumerate(self._context["pairs"]) :
if i >= lMatrix._min :
break
new_j = l.index(j)
# clean_matrix[i][new_j] = matrix[i][j]
lClean_matrix.set(new_j,i,matrix[i][j])
new_pairs.append(new_j)
self._context["pairs"] = new_pairs
# lClean_matrix = LinedMatrix(0,0)
# lClean_matrix.convertDistMatrix(clean_matrix)
return lClean_matrix
def process(self, matrix):
lMatrix = matrix
matrix = tn.matrix2numpy(matrix.getMatrix())
# hungarian_pairs = self._context["pairs"]
# minDim = min(lMatrix._width, lMatrix._height)
# m = [array('f',[1.0 for _ in xrange(lMatrix._min)]) for _ in xrange(lMatrix._min)]
# clean_matrix = tn.matrix2numpy(m)
lClean_matrix = LinedMatrix(lMatrix._min, lMatrix._min, 1.0)
# lClean_matrix.convertMatrix(m)
# pairs = copy.copy(self._context["pairs"])
pairs = self._context['pairs']
l = pairs[0:lMatrix._min]
l.sort()
new_pairs = []
for i, j in enumerate(self._context["pairs"]):
if i >= lMatrix._min:
break
new_j = l.index(j)
# clean_matrix[i][new_j] = matrix[i][j]
lClean_matrix.set(new_j, i, matrix[i][j])
new_pairs.append(new_j)
self._context["pairs"] = new_pairs
# lClean_matrix = LinedMatrix(0,0)
# lClean_matrix.convertDistMatrix(clean_matrix)
return lClean_matrix
for yy in auto_corres2[y] :
ni = xx + yy*matrix._width
matrix.data[ni] = dist
# for x in xrange(l1):
# seg1 = segLst1[x]
# for y in xrange(l2):
# ni = x + y*matrix._width
# matrix.data[ni] = segmentDistance(seg1, segLst2[y])
# matrix.set(x, y, distance)
cpt = 0
if(opt_options.verbose) :
name_matrix = os.path.join(path_log,"%s_x_%s%i.png"%(name_png_doc1,name_png_doc2,cpt))
tn.matrix2image(tn.matrix2numpy(matrix.getMatrix()),name_matrix)
for f in documentDistanceFilters :
cpt += 1
matrix = f(matrix)
if(opt_options.verbose) :
name_matrix = os.path.join(path_log,"%s_x_%s%i.png"%(name_png_doc1,name_png_doc2,cpt))
print '>>', name_matrix
tn.matrix2image(tn.matrix2numpy(matrix.getMatrix()),name_matrix)
distance = documentDistance(matrix)
if(opt_options.verbose) :
print "[ok] distance(%s,%s) = %0.2f "%(document1, document2, distance)
lmatrix_docDist.set(i,j,distance)
lmatrix_docDist.set(j,i,distance)
