def lightSphere(L, h=256, w=256):
L = normalizeVector(L)
N_32F, A_32F = normalSphere(h, w)
I_32F = diffuse(N_32F, L)
I_32F = I_32F * A_32F
return I_32F
def _runImp(self):
if self._N0_32F is None:
self._computeInitialNormal()
self._optimize()
L = self._L
self._I_32F = diffuse(self._N_32F, L)
reflectance = LambertReflectanceEstimation(self._C0_32F, self._I_32F)
self._C_32F = reflectance.shading(self._I_32F)
def _runImp(self):
if self._N0_32F is None:
self._computeInitialNormal()
self._optimize()
L = self._L
self._I_32F = diffuse(self._N_32F, L)
reflectance = LambertReflectanceEstimation(self._C0_32F, self._I_32F)
self._C_32F = reflectance.shading(self._I_32F)
def lightSphereWithBG(L, h=256, w=256, bg_color=np.array([1.0, 0.0, 0.0])):
L = normalizeVector(L)
N_32F, A_32F = normalSphere(h, w)
I_32F = diffuse(N_32F, L)
C_32F = np.zeros(N_32F.shape)
C_32F[:, :] = bg_color
for ci in xrange(3):
C_32F[:, :, ci] = I_32F * A_32F + (1.0 - A_32F) * C_32F[:, :, ci]
return np.clip(C_32F, 0.0, 1.0)
def _runImp(self):
normal_data = loadNormal(self._data_file)
if normal_data is None:
return
N_32F, A_8U = normal_data
N_32F = trim(N_32F, A_8U)
A_8U = trim(A_8U, A_8U)
A_32F = to32F(A_8U)
L = normalizeVector(np.array([-0.2, 0.3, 0.7]))
I_half = half_lambert.diffuse(N_32F, L)
I_half = setAlpha(gray2rgb(I_half), A_32F)
I_lambert = lambert.diffuse(N_32F, L)
I_lambert = setAlpha(gray2rgb(I_lambert), A_32F)
fig, axes = plt.subplots(figsize=(11, 5))
font_size = 15
fig.subplots_adjust(left=0.05,
right=0.95,
top=0.9,
hspace=0.05,
wspace=0.05)
fig.suptitle("Depth From Normal", fontsize=font_size)
plt.subplot(1, 4, 1)
plt.title(r'Normal: $N$')
plt.imshow(normalToColor(N_32F, A_8U))
plt.axis('off')
plt.subplot(1, 4, 2)
plt.title(r'Half Lambert: $I_h$')
plt.imshow(I_half)
plt.axis('off')
plt.subplot(1, 4, 3)
plt.title(r'Lambert: $I_l$')
plt.imshow(I_lambert)
plt.axis('off')
showMaximize()
def _runImp(self):
normal_data = loadNormal(self._data_file)
if normal_data is None:
return
N_32F, A_8U = normal_data
N_32F = trim(N_32F, A_8U)
A_8U = trim(A_8U, A_8U)
A_32F = to32F(A_8U)
L = normalizeVector(np.array([-0.2, 0.3, 0.7]))
I_half = half_lambert.diffuse(N_32F, L)
I_half = setAlpha(gray2rgb(I_half), A_32F)
I_lambert = lambert.diffuse(N_32F, L)
I_lambert = setAlpha(gray2rgb(I_lambert), A_32F)
fig, axes = plt.subplots(figsize=(11, 5))
font_size = 15
fig.subplots_adjust(left=0.05, right=0.95, top=0.9, hspace=0.05, wspace=0.05)
fig.suptitle("Depth From Normal", fontsize=font_size)
plt.subplot(1, 4, 1)
plt.title(r'Normal: $N$')
plt.imshow(normalToColor(N_32F, A_8U))
plt.axis('off')
plt.subplot(1, 4, 2)
plt.title(r'Half Lambert: $I_h$')
plt.imshow(I_half)
plt.axis('off')
plt.subplot(1, 4, 3)
plt.title(r'Lambert: $I_l$')
plt.imshow(I_lambert)
plt.axis('off')
showMaximize()
