def main(save_main_dir, pixel_dim, clip, num_random, plane):
#Setup
app = inviwopy.app
network = app.network
cam = network.EntryExitPoints.camera
cam.nearPlane = 6.0
cam.farPlane = 1000.0
canvases = inviwopy.app.network.canvases
for canvas in canvases:
canvas.inputSize.dimensions.value = ivec2(pixel_dim, pixel_dim)
inviwo_utils.update()
if not os.path.isdir(save_main_dir):
pathlib.Path(save_main_dir).mkdir(parents=True, exist_ok=True)
#Save a number of random light fields
random_lfs = create_random_lf_cameras(num_random, (180, 35),
1,
interspatial_distance=0.5,
look_up=vec3(0, 1, 0))
for lf in random_lfs:
if clip:
_, clip_type = random_clip_lf(network, lf)
elif plane:
random_plane_clip(network, lf)
save_lf(lf, save_main_dir)
if clip:
restore_clip(network, clip_type)
def main(pixel_dim, clip, num_random, plane):
#Setup
app = inviwopy.app
network = app.network
cam = network.EntryExitPoints.camera
cam.nearPlane = 6.0
cam.farPlane = 1000.0
canvases = inviwopy.app.network.canvases
for canvas in canvases:
canvas.inputSize.dimensions.value = ivec2(pixel_dim, pixel_dim)
inviwo_utils.update()
random_lfs = create_random_lf_cameras(
num_random,
(180, 35), 1,
interspatial_distance=0.5,
look_up = vec3(0, 1, 0))
time_accumulator = (0.0, 0.0, 0.0)
for lf in random_lfs:
if clip:
_, clip_type = random_clip_lf(network, lf)
elif plane:
random_plane_clip(network, lf)
time_taken = lf.view_array(cam, save=False, should_time=True)
time_accumulator = welford.update(
time_accumulator, time_taken)
if clip:
restore_clip(network, clip_type)
mean, variance, _ = welford.finalize(time_accumulator)
print("Time taken per grid, average {:4f}, std_dev {:4f}".format(
mean, math.sqrt(variance)))
def capture_lf_samples(hdf5_file, set_type, config, network, count):
spatial_rows = config["spatial_rows"]
spatial_cols = config["spatial_cols"]
colour = hdf5_file[set_type]
random_cams = []
for _ in range(config["num_samples"][set_type]):
radii = (config["max_look_from"], config["min_look_from"])
random_cam = create_random_camera(
radii,
max_look_to_origin=0,
look_up=config["look_up"],
random_look_up=True)
random_cams.append(random_cam)
for camera in random_cams:
if config["clip"]:
_, clip_type = random_clip_look_from(network, camera[0])
elif config["plane"]:
random_plane_clip_cam(network, camera)
save_looking_to_hdf5_group(
sample_index=count[set_type],
h5_canvas_list=[(colour, "LF", "Warp")],
camera=camera, config=config)
count[set_type] += 1
if config["clip"]:
restore_clip(network, clip_type)
elif config["plane"]:
mesh_clip = network.MeshClipping
mesh_clip.getPropertyByIdentifier(
"clippingEnabled").value = False
return count