def create(set_name, rotations):
idx = 0
triangles = dl.load_off_file(os.path.join(inpath, filename))
data_filename = filename.split(".")[0]
for rot in rotations:
xrot, yrot = rot
tris = np.copy(triangles)
tris = rotatePoints(tris, eulerToMatrix([0, yrot, 0]))
tris = rotatePoints(tris, eulerToMatrix([xrot, 0, 0]))
mins, maxs = getAABB(tris)
tris = np.transpose(tris)
tree = octree.Octree(tris, mins, maxs, 4)
X = np.array(tree.get_occlussion())
# hash it to the regular grid
mins, maxs = getAABB(np.transpose(X))
X = (insize - 1) * (X - mins) / (maxs - mins)
X = X.astype(int)
occ_grid = np.zeros((insize, insize, insize), dtype=np.int)
for i in range(0, X.shape[0]):
x, y, z = X[i, :]
occ_grid[x, y, z] = 1
name = os.path.join(outpath, set_name, data_filename + "_%d" % idx)
with open(name, "wb") as f:
np.save(f, occ_grid)
idx = idx + 1
def subdivide(positions):
MAXV = float('inf')
MINV = -float('inf')
xmax = MINV
xmin = MAXV
ymax = MINV
ymin = MAXV
zmax = MINV
zmin = MAXV
for point in positions:
if point[0] < xmin:
xmin = point[0]
if point[0] > xmax:
xmax = point[0]
if point[1] < ymin:
ymin = point[1]
if point[1] > ymax:
ymax = point[1]
if point[2] < zmin:
zmin = point[2]
if point[2] > zmax:
zmax = point[2]
xc = (xmax + xmin) / 2
yc = (ymax + ymin) / 2
zc = (zmax + zmin) / 2
tree = octree.Octree(xmax, ymax, zmax, xmin, ymin, zmin, (xc, yc, zc), 7)
for i in range(0, len(positions)):
tree.addItem(i, positions[i])
# return tree.getLeafNodes()
return tree.getNodesWithAvgChildCount(900)
scounts = None
sdispls = None
counts = None
# tell the processors how much data is coming
counts = comm.scatter(counts, root=0)
keys_sorted_local = np.zeros(counts, dtype=np.int32)
print "process %d counts %s" % (rank, counts)
# send keys
comm.Scatterv([sorted_keys, scounts, sdispls, MPI.INT],
[keys_sorted_local, MPI.INT])
print "processor %d has keys: %s" % (rank, keys_sorted_local)
# create octree
tree = octree.Octree(sorted_keys, 4, order)
tree.partial_build()
#
## create plot
#current_axis = plt.gca()
#for node in tree.dump_data():
# x = node[0]/2.0**order
# y = node[1]/2.0**order
# w = node[2]/2.0**order
# current_axis.add_patch(Rectangle((x-.5*w, y-.5*w), w, w, fill=None))
#
##key_index = random.choice(range(sorted_keys.shape[0]))
#key_index = 68
#key = sorted_keys[key_index]
#node = tree.find_oct(key)
#
