def test_affine_Matrix3D(self):
im = pv.Image(pv.BABOON)
test_im = pv.Image(im.asMatrix3D())
affine = pv.AffineFromRect(pv.CenteredRect(256,256,128,128),(64,64))
# Transform the images
im = affine(im)
test_im = affine(test_im)
# Correlate the resulting images
vec1 = pv.unit(im.asMatrix3D().flatten())
vec2 = pv.unit(test_im.asMatrix3D().flatten())
score = np.dot(vec1,vec2)
self.assertGreater(score, 0.998)
def test_affine_Matrix3D(self):
im = pv.Image(pv.BABOON)
test_im = pv.Image(im.asMatrix3D())
affine = pv.AffineFromRect(pv.CenteredRect(256,256,128,128),(64,64))
# Transform the images
im = affine(im)
test_im = affine(test_im)
# Correlate the resulting images
vec1 = pv.unit(im.asMatrix3D().flatten())
vec2 = pv.unit(test_im.asMatrix3D().flatten())
score = np.dot(vec1,vec2)
self.assertGreater(score, 0.998)
def computeVector(self, img):
'''Creates a vector from a face'''
#face = img.asPIL().crop(rect.box()).resize(self.face_size,ANTIALIAS)
vec = img.asMatrix2D().flatten()
if self.norm == PCA_MEAN_STD_NORM:
vec = pv.meanStd(vec)
if self.norm == PCA_MEAN_UNIT_NORM:
vec = pv.meanUnit(vec)
if self.norm == PCA_UNIT_NORM:
vec = pv.unit(vec)
return vec
def computeVector(self,img):
'''Creates a vector from a face'''
#face = img.asPIL().crop(rect.box()).resize(self.face_size,ANTIALIAS)
vec = img.asMatrix2D().flatten()
if self.norm == PCA_MEAN_STD_NORM:
vec = pv.meanStd(vec)
if self.norm == PCA_MEAN_UNIT_NORM:
vec = pv.meanUnit(vec)
if self.norm == PCA_UNIT_NORM:
vec = pv.unit(vec)
return vec
def test_3_unit(self):
'''unit Normalization: ||norm|| = 1.0 and dot(norm,im)/||im|| = 1.0.'''
ilog = None
if 'ilog' in list(globals().keys()):
ilog = globals()['ilog']
norm = pv.unit(self.tile)
if ilog != None:
ilog.log(norm,label="unit_Normalization")
mat = norm.asMatrix2D()
length = np.sqrt((mat**2).sum())
self.assertAlmostEqual(length,1.0,places=3)
mat = norm.asMatrix2D()
mat = mat.flatten()
im = self.tile.asMatrix2D().flatten()
proj = np.dot(mat,im)
length = np.sqrt((im**2).sum())
self.assertAlmostEqual(proj/length,1.0,places=3)
def test_3_unit(self):
'''unit Normalization: ||norm|| = 1.0 and dot(norm,im)/||im|| = 1.0.'''
ilog = None
if 'ilog' in list(globals().keys()):
ilog = globals()['ilog']
norm = pv.unit(self.tile)
if ilog != None:
ilog.log(norm, label="unit_Normalization")
mat = norm.asMatrix2D()
length = np.sqrt((mat**2).sum())
self.assertAlmostEqual(length, 1.0, places=3)
mat = norm.asMatrix2D()
mat = mat.flatten()
im = self.tile.asMatrix2D().flatten()
proj = np.dot(mat, im)
length = np.sqrt((im**2).sum())
self.assertAlmostEqual(proj / length, 1.0, places=3)
def clipRange(self):
self.value = pv.unit(self.value)
def clipRange(self):
self.value = pv.unit(self.value)
