def __init__(self,values,vertices,faces,batch,group=None):
inds=faces.ravel().tolist()
verx=vertices.ravel().tolist()
normals=np.zeros((len(vertices),3))
ones_=np.ones(len(values))
colors=np.vstack((values,ones_,ones_)).T
colors=colors.ravel().tolist()
p=vertices
l=faces
trinormals=np.cross(p[l[:,0]]-p[l[:,1]],\
p[l[:,1]]-p[l[:,2]],\
axisa=1,axisb=1)
for (i,lp) in enumerate(faces):
normals[lp]+=trinormals[i]
div=np.sqrt(np.sum(normals**2,axis=1))
div=div.reshape(len(div),1)
normals=(normals/div)
norms=np.array(normals).ravel().tolist()
self.vertex_list = batch.add_indexed(len(vertices),\
GL_TRIANGLES,\
group,\
inds,\
('v3d/static',verx),\
('n3d/static',norms),\
('c3d/static',colors))
def __init__(self,values,vertices,faces,batch,group=None):
inds=faces.ravel().tolist()
verx=vertices.ravel().tolist()
normals=np.zeros((len(vertices),3))
ones_=np.ones(len(values))
colors=np.vstack((values,ones_,ones_)).T
colors=colors.ravel().tolist()
p=vertices
l=faces
trinormals=np.cross(p[l[:,0]]-p[l[:,1]],\
p[l[:,1]]-p[l[:,2]],\
axisa=1,axisb=1)
for (i,lp) in enumerate(faces):
normals[lp]+=trinormals[i]
div=np.sqrt(np.sum(normals**2,axis=1))
div=div.reshape(len(div),1)
normals=(normals/div)
norms=np.array(normals).ravel().tolist()
self.vertex_list = batch.add_indexed(len(vertices),\
GL_TRIANGLES,\
group,\
inds,\
('v3d/static',verx),\
('n3d/static',norms),\
('c3d/static',colors))
def __init__(self,odfs,vertices,faces,noiso,batch,group=None):
J=0
self.odfs_no=J
self.vertex_list=(odfs.shape[0]*odfs.shape[1])*[None]
for index in np.ndindex(odfs.shape[:2]):
values=odfs[index]
if noiso:
values=np.interp(values,[values.min(),values.max()],[0,.5])
inds=faces.ravel().tolist()
shift=index+(0,)
print J,odfs.shape[0]*odfs.shape[1]
points=np.dot(np.diag(values),vertices)
points=points+np.array(shift)
verx=points.ravel().tolist()
normals=np.zeros((len(vertices),3))
ones_=np.ones(len(values))
colors=np.vstack((values,ones_,ones_)).T
colors=colors.ravel().tolist()
p=vertices
l=faces
trinormals=np.cross(p[l[:,0]]-p[l[:,1]],\
p[l[:,1]]-p[l[:,2]],\
axisa=1,axisb=1)
for (i,lp) in enumerate(faces):
normals[lp]+=trinormals[i]
div=np.sqrt(np.sum(normals**2,axis=1))
div=div.reshape(len(div),1)
normals=(normals/div)
norms=np.array(normals).ravel().tolist()
self.vertex_list[i] = batch.add_indexed(len(vertices),\
GL_TRIANGLES,\
group,\
inds,\
('v3d/static',verx),\
('n3d/static',norms),\
('c3d/static',colors))
J+=1
def __init__(self,odfs,vertices,faces,noiso,batch,group=None):
J=0
self.odfs_no=J
self.vertex_list=(odfs.shape[0]*odfs.shape[1])*[None]
for index in np.ndindex(odfs.shape[:2]):
values=odfs[index]
if noiso:
values=np.interp(values,[values.min(),values.max()],[0,.5])
inds=faces.ravel().tolist()
shift=index+(0,)
print J,odfs.shape[0]*odfs.shape[1]
points=np.dot(np.diag(values),vertices)
points=points+np.array(shift)
verx=points.ravel().tolist()
normals=np.zeros((len(vertices),3))
ones_=np.ones(len(values))
colors=np.vstack((values,ones_,ones_)).T
colors=colors.ravel().tolist()
p=vertices
l=faces
trinormals=np.cross(p[l[:,0]]-p[l[:,1]],\
p[l[:,1]]-p[l[:,2]],\
axisa=1,axisb=1)
for (i,lp) in enumerate(faces):
normals[lp]+=trinormals[i]
div=np.sqrt(np.sum(normals**2,axis=1))
div=div.reshape(len(div),1)
normals=(normals/div)
norms=np.array(normals).ravel().tolist()
self.vertex_list[i] = batch.add_indexed(len(vertices),\
GL_TRIANGLES,\
group,\
inds,\
('v3d/static',verx),\
('n3d/static',norms),\
('c3d/static',colors))
J+=1
