def build_and_render(scene):
lm.reset()
lmscene.load(ft.env.scene_path, scene)
lm.build('accel::nanort', {})
lm.asset('film_output', 'film::bitmap', {'w': 1920, 'h': 1080})
lm.render('renderer::raycast', {'output': lm.asset('film_output')})
return np.copy(lm.buffer(lm.asset('film_output')))
def build_and_render(scene_name):
lm.reset()
accel = lm.load_accel('accel', 'embree', {})
scene = lm.load_scene('scene', 'default', {'accel': accel.loc()})
lmscene.load(scene, env.scene_path, scene_name)
scene.build()
film = lm.load_film('film_output', 'bitmap', {'w': 1920, 'h': 1080})
renderer = lm.load_renderer('renderer', 'raycast', {
'scene': scene.loc(),
'output': film.loc()
})
renderer.render()
return np.copy(film.buffer())
def build_and_render(scene_name):
lm.reset()
accel = lm.load_accel('accel', 'embree')
scene = lm.load_scene('scene', 'default', accel=accel)
lmscene.load(scene, env.scene_path, scene_name)
scene.build()
film = lm.load_film('film_output', 'bitmap', w=1920, h=1080)
renderer = lm.load_renderer('renderer',
'raycast',
scene=scene,
output=film)
renderer.render()
return np.copy(film.buffer())
lm.parallel.init('parallel::openmp', {'numThreads': -1})
lm.log.init('logger::jupyter', {})
lm.info()
scenes = lmscene.scenes_small()
rmse_series = pd.Series(index=scenes)
for scene in scenes:
print("Testing [scene='{}']".format(scene))
lm.reset()
lm.asset('film_output', 'film::bitmap', {'w': 1920, 'h': 1080})
# Load scene and render
lmscene.load(ft.env.scene_path, scene)
lm.build('accel::sahbvh', {})
lm.render('renderer::raycast', {'output': lm.asset('film_output')})
img_orig = np.copy(lm.buffer(lm.asset('film_output')))
# Serialize, reset, deserialize, and render
lm.serialize('lm.serialized')
lm.reset()
lm.deserialize('lm.serialized')
lm.render('renderer::raycast', {'output': lm.asset('film_output')})
img_serial = np.copy(lm.buffer(lm.asset('film_output')))
# Compare two images
rmse = ft.rmse(img_orig, img_serial)
rmse_series[scene] = rmse
if not lm.Release:
lm.attach_to_debugger()
lm.init()
if not lm.Release:
lm.parallel.init('openmp', {'num_threads': 1})
lm.log.init('jupyter')
lm.progress.init('jupyter')
lm.info()
lm.comp.load_plugin(os.path.join(env.bin_path, 'accel_embree'))
accel = lm.load_accel('accel', 'embree', {})
scene = lm.load_scene('scene', 'default', {'accel': accel.loc()})
lmscene.load(scene, env.scene_path, 'fireplace_room')
scene.build()
film = lm.load_film('film_output', 'bitmap', {'w': 1920, 'h': 1080})
shared_renderer_params = {
'scene': scene.loc(),
'output': film.loc(),
'image_sample_mode': 'image',
'max_length': 20,
}
# ### w/ sample-based scheduler
renderer = lm.load_renderer(
'renderer', 'pt', {
**shared_renderer_params, 'scheduler': 'sample',
def rmse_pixelwised(img1, img2):
return np.sqrt(np.sum((img1 - img2)**2, axis=2) / 3)
# -
# Execute rendering for each scene and accel
rmse_df = pd.DataFrame(columns=accel_names, index=scene_names)
for scene_name in scene_names:
print("Rendering [scene='{}']".format(scene_name))
# Load scene
scene = lm.load_scene('scene', 'default')
lmscene.load(scene, env.scene_path, scene_name)
# Use the image for 'accel::sahbvh' as reference
ref = build_and_render(scene, 'sahbvh')
# Check consistency for other accels
for accel_name in accel_names:
# Render and compute a different image
img = build_and_render(scene, accel_name)
diff = rmse_pixelwised(ref, img)
# Record rmse
e = rmse(ref, img)
rmse_df[accel_name][scene_name] = e
# Visualize the difference image
def load_scene():
lmscene.load(ft.env.scene_path, scene)
def load_scene():
accel = lm.load_accel('accel', 'sahbvh', {})
scene = lm.load_scene('scene', 'default', {
'accel': accel.loc()
})
lmscene.load(scene, env.scene_path, scene_name)
def load_scene():
lmscene.load(ft.env.scene_path, scene)
lm.build('accel::sahbvh', {})
