def compute_dr_wrt(self, wrt):
if wrt is not self.camera and wrt is not self.v:
return None
visibility = self.visibility_image
visible = np.nonzero(visibility.ravel() != 4294967295)[0]
barycentric = self.barycentric_image
if wrt is self.camera:
shape = visibility.shape
depth = self.depth_image
if self.overdraw:
result1 = common.dImage_wrt_2dVerts_bnd(
depth, visible, visibility, barycentric,
self.frustum['width'], self.frustum['height'],
self.v.r.size / 3, self.f,
self.boundaryid_image != 4294967295)
else:
result1 = common.dImage_wrt_2dVerts(depth, visible, visibility,
barycentric,
self.frustum['width'],
self.frustum['height'],
self.v.r.size / 3, self.f)
# result1 = common.dImage_wrt_2dVerts(depth, visible, visibility, barycentric, self.frustum['width'], self.frustum['height'], self.v.r.size/3, self.f)
return result1
elif wrt is self.v:
IS = np.tile(col(visible), (1, 9)).ravel()
JS = col(self.f[visibility.ravel()[visible]].ravel())
JS = np.hstack((JS * 3, JS * 3 + 1, JS * 3 + 2)).ravel()
# FIXME: there should be a faster way to get the camera axis.
# But it should be carefully tested with distortion present!
pts = np.array([[self.camera.c.r[0], self.camera.c.r[1], 2],
[self.camera.c.r[0], self.camera.c.r[1], 1]])
pts = self.camera.unproject_points(pts)
cam_axis = pts[0, :] - pts[1, :]
if True: # use barycentric coordinates (correct way)
w = visibility.shape[1]
pxs = np.asarray(visible % w, np.int32)
pys = np.asarray(np.floor(np.floor(visible) / w), np.int32)
bc0 = col(barycentric[pys, pxs, 0])
bc1 = col(barycentric[pys, pxs, 1])
bc2 = col(barycentric[pys, pxs, 2])
bc = np.hstack(
(bc0, bc0, bc0, bc1, bc1, bc1, bc2, bc2, bc2)).ravel()
else: # each vert contributes equally (an approximation)
bc = 1. / 3.
data = np.tile(row(cam_axis), (IS.size / 3, 1)).ravel() * bc
result2 = sp.csc_matrix(
(data, (IS, JS)),
shape=(self.frustum['height'] * self.frustum['width'],
self.v.r.size))
return result2
def compute_dr_wrt(self, wrt):
if wrt is not self.camera and wrt is not self.vc and wrt is not self.bgcolor:
return None
visibility = self.visibility_image
shape = visibility.shape
color = self.color_image
visible = np.nonzero(visibility.ravel() != 4294967295)[0]
num_visible = len(visible)
barycentric = self.barycentric_image
if wrt is self.camera:
if self.overdraw:
return common.dImage_wrt_2dVerts_bnd(color, visible, visibility, barycentric, self.frustum['width'], self.frustum['height'], self.v.r.size/3, self.f, self.boundaryid_image != 4294967295)
else:
return common.dImage_wrt_2dVerts(color, visible, visibility, barycentric, self.frustum['width'], self.frustum['height'], self.v.r.size/3, self.f)
elif wrt is self.vc:
return common.dr_wrt_vc(visible, visibility, self.f, barycentric, self.frustum, self.vc.size, num_channels=self.num_channels)
elif wrt is self.bgcolor:
return common.dr_wrt_bgcolor(visibility, self.frustum, num_channels=self.num_channels)
def compute_dr_wrt(self, wrt):
if wrt is not self.camera and wrt is not self.vc and wrt is not self.bgcolor:
return None
visibility = self.visibility_image
shape = visibility.shape
color = self.color_image
visible = np.nonzero(visibility.ravel() != 4294967295)[0]
num_visible = len(visible)
barycentric = self.barycentric_image
if wrt is self.camera:
if self.overdraw:
return common.dImage_wrt_2dVerts_bnd(color, visible, visibility, barycentric, self.frustum['width'], self.frustum['height'], self.v.r.size/3, self.f, self.boundaryid_image != 4294967295)
else:
return common.dImage_wrt_2dVerts(color, visible, visibility, barycentric, self.frustum['width'], self.frustum['height'], self.v.r.size/3, self.f)
elif wrt is self.vc:
return common.dr_wrt_vc(visible, visibility, self.f, barycentric, self.frustum, self.vc.size, num_channels=self.num_channels)
elif wrt is self.bgcolor:
return common.dr_wrt_bgcolor(visibility, self.frustum, num_channels=self.num_channels)
def compute_dr_wrt(self, wrt):
if wrt is not self.camera and wrt is not self.v:
return None
visibility = self.visibility_image
visible = np.nonzero(visibility.ravel() != 4294967295)[0]
barycentric = self.barycentric_image
if wrt is self.camera:
shape = visibility.shape
depth = self.depth_image
if self.overdraw:
result1 = common.dImage_wrt_2dVerts_bnd(depth, visible, visibility, barycentric, self.frustum['width'], self.frustum['height'], self.v.r.size/3, self.f, self.boundaryid_image != 4294967295)
else:
result1 = common.dImage_wrt_2dVerts(depth, visible, visibility, barycentric, self.frustum['width'], self.frustum['height'], self.v.r.size/3, self.f)
# result1 = common.dImage_wrt_2dVerts(depth, visible, visibility, barycentric, self.frustum['width'], self.frustum['height'], self.v.r.size/3, self.f)
return result1
elif wrt is self.v:
IS = np.tile(col(visible), (1, 9)).ravel()
JS = col(self.f[visibility.ravel()[visible]].ravel())
JS = np.hstack((JS*3, JS*3+1, JS*3+2)).ravel()
# FIXME: there should be a faster way to get the camera axis.
# But it should be carefully tested with distortion present!
pts = np.array([
[self.camera.c.r[0], self.camera.c.r[1], 2],
[self.camera.c.r[0], self.camera.c.r[1], 1]
])
pts = self.camera.unproject_points(pts)
cam_axis = pts[0,:] - pts[1,:]
if True: # use barycentric coordinates (correct way)
w = visibility.shape[1]
pxs = np.asarray(visible % w, np.int32)
pys = np.asarray(np.floor(np.floor(visible) / w), np.int32)
bc0 = col(barycentric[pys, pxs, 0])
bc1 = col(barycentric[pys, pxs, 1])
bc2 = col(barycentric[pys, pxs, 2])
bc = np.hstack((bc0,bc0,bc0,bc1,bc1,bc1,bc2,bc2,bc2)).ravel()
else: # each vert contributes equally (an approximation)
bc = 1. / 3.
data = np.tile(row(cam_axis), (IS.size/3,1)).ravel() * bc
result2 = sp.csc_matrix((data, (IS, JS)), shape=(self.frustum['height']*self.frustum['width'], self.v.r.size))
return result2