def MakeModel(self, layer):
params = Params()
params.num_scales = self.NUM_SCALES
params.s1_num_orientations = self.NUM_ORIENTATIONS
model = Model(params = params)
L = model.Layer
if layer in (L.S2, L.C2, L.IT):
# Make uniform-random S2 kernels
kernel_shape = (self.NUM_PROTOTYPES,) + model.s2_kernel_shape
kernels = np.random.uniform(0, 1, size = kernel_shape)
for k in kernels:
k /= np.linalg.norm(k)
model.s2_kernels = kernels
return model
