def test_nms_accuracy(noise, n_rays):
dx = 3
shape = (40, 55, 66)
rays = Rays_GoldenSpiral(n_rays)
dist = 10 * (1 + noise * np.sin(2 * np.pi * rays.vertices[:, :2].T))
points = [(20, 20, 20), (20, 20, 20 + dx)]
mask1 = polyhedron_to_label([dist[0]], [points[0]], rays, shape=shape)
mask2 = polyhedron_to_label([dist[1]], [points[1]], rays, shape=shape)
iou = np.count_nonzero(mask1 * mask2) / min(
np.count_nonzero(mask1),
np.count_nonzero(mask2) + 1e-10)
prob = [1, .5]
print("iou =", iou)
sup1 = non_maximum_suppression_3d_sparse(dist,
prob,
points,
rays=rays,
nms_thresh=0.95 * iou,
verbose=True)[0]
sup2 = non_maximum_suppression_3d_sparse(dist,
prob,
points,
rays=rays,
nms_thresh=1.05 * iou,
verbose=True)[0]
assert len(sup1) == 1 and len(sup2) == 2
return mask1, mask2
def test_rays_volume_area(n_rays=187):
from skimage.measure import regionprops
from skimage.segmentation import find_boundaries
rays = Rays_GoldenSpiral(n_rays)
shape = (55, 56, 58)
center = np.array(shape) // 2
dist = .4 * np.random.uniform(.3 * np.min(shape), .5 * np.min(shape),
n_rays)
lbl = polyhedron_to_label([dist], [center], rays=rays, shape=shape)
volume1 = rays.volume(dist)
volume2 = np.mean(rays.volume(np.broadcast_to(dist,
(13, 17) + dist.shape)))
volume3 = regionprops(lbl)[0].area
surface1 = rays.surface(dist)
surface2 = np.mean(
rays.surface(np.broadcast_to(dist, (13, 17) + dist.shape)))
surface3 = np.sum(find_boundaries(lbl, mode="outer"))
print(volume1, volume2, volume3)
print(surface1, surface2, surface3)
return lbl
def test_nms_and_label(nms_thresh=0.1, shape=(33, 44, 55), noise=.1, n_rays=32):
points, probi, disti, rays = create_random_suppressed(
nms_thresh, shape=shape, noise=noise, n_rays=n_rays)
lbl = polyhedron_to_label(disti, points, rays, shape=shape)
return lbl
def test_label():
n_rays = 32
dist = 20*np.ones((1, n_rays))
rays = Rays_GoldenSpiral(dist.shape[-1])
points = [[20, 20, 20]]
return polyhedron_to_label(dist, points, rays, shape=(33, 44, 55))
def test_nms_and_label():
points, rays, disti = test_nms()
lbl = polyhedron_to_label(disti, points, rays, shape=(33, 44, 55))
return lbl
def test_nms_and_label(n_rays=32, nms_thresh=0.1):
points, rays, disti = test_nms(n_rays, nms_thresh)
lbl = polyhedron_to_label(disti, points, rays, shape=(33, 44, 55))
return lbl
