def reconstruct_input(nparray):
#split
npbig = nparray[0:675].A
npsmall = nparray[675:].A
#reshape
npbig_rs = npbig.reshape((15, 15, 3))
npsml_rs = npsmall.reshape((3, 3, 3))
#convert to cv
img = ut.np2cv(npbig_rs.astype(np.uint8))
context = ut.np2cv(npsml_rs.astype(np.uint8))
return img, context
def reconstruct_input(nparray):
#split
npbig = nparray[0:675].A
npsmall = nparray[675:].A
#reshape
npbig_rs = npbig.reshape((15,15,3))
npsml_rs = npsmall.reshape((3,3,3))
#convert to cv
img = ut.np2cv(npbig_rs.astype(np.uint8))
context = ut.np2cv(npsml_rs.astype(np.uint8))
return img, context
def visualize(eigens):
l1 = eigens[:, :, 0]
l2 = eigens[:, :, 1]
m1 = np.min(l1)
m2 = np.min(l2)
r1 = np.max(l1) - m1
r2 = np.max(l2) - m2
if r1 == 0:
r1 = 1
if r2 == 0:
r2 = 1
l1cv = ut.np2cv(np.array((1 - ((l1 - m1) / r1)) * 255, dtype="uint8"))
l2cv = ut.np2cv(np.array((1 - ((l2 - m2) / r2)) * 255, dtype="uint8"))
hg.cvNamedWindow("eigen value 1", 1)
hg.cvNamedWindow("eigen value 2", 1)
hg.cvShowImage("eigen value 1", l1cv)
hg.cvShowImage("eigen value 2", l2cv)
while True:
k = hg.cvWaitKey(33)
if k == " ":
return
if k == "x":
exit()
def visualize(eigens):
l1 = eigens[:, :, 0]
l2 = eigens[:, :, 1]
m1 = np.min(l1)
m2 = np.min(l2)
r1 = np.max(l1) - m1
r2 = np.max(l2) - m2
if r1 == 0:
r1 = 1
if r2 == 0:
r2 = 1
l1cv = ut.np2cv(np.array((1 - ((l1 - m1) / r1)) * 255, dtype='uint8'))
l2cv = ut.np2cv(np.array((1 - ((l2 - m2) / r2)) * 255, dtype='uint8'))
hg.cvNamedWindow('eigen value 1', 1)
hg.cvNamedWindow('eigen value 2', 1)
hg.cvShowImage('eigen value 1', l1cv)
hg.cvShowImage('eigen value 2', l2cv)
while True:
k = hg.cvWaitKey(33)
if k == ' ':
return
if k == 'x':
exit()