def reconstruction_case(self, scene_name, scene, camera, projector, viewport, projector_lods):
color, depth = self.render(scene, camera, viewport)
self.dump_debug_img(Path(scene_name) / "scene_color.png", color)
self.dump_debug_img(Path(scene_name) / "scene_depth.png", support.array_to_grayscale(depth))
central_line_processor = CentralLineExtractionProcessor(debug_enabled=self.with_debug_output())
reconstructor = ReconstructionBuilder(line_extraction_processor=central_line_processor)
self.register_releasable(projector)
for i in range(projector_lods):
projector.stripes_number = 2 ** i
scene.set_projector(projector)
color, depth = self.render(scene, camera, viewport)
self.dump_debug_img(Path(scene_name) / "{}_color.png".format(i), color)
reconstructor.process_observation(i, color)
points_3d = reconstructor.build_point_cloud(projector, camera)
if self.with_debug_output():
subdir = Path(scene_name) / "central_line"
self.dump_debug_matrix_by_hue(
subdir / "is_edge_pixel.png", central_line_processor._debug_last_values["is_edge_pixel"]
)
self.dump_debug_matrix_by_hue(
subdir / "distance.png", central_line_processor._debug_last_values["distance"]
)
self.dump_debug_matrix_by_hue(
subdir / "is_maximum.png", central_line_processor._debug_last_values["is_maximum"]
)
ply.write_ply(self.debug_dir() / scene_name / "points.ply", points_3d)
def _make_screenshot_and_save(self):
w, h = 2048, int(2048 * self._camera.aspect)
logger.info('Making screenshot... ({}x{})'.format(w, h))
renderer = ImageRenderer(self._gl_executor)
color, depth = yield from renderer.render(self.scene, self._camera, (w, h))
filename = 'screenshot'
next_id = 2
while Path(filename).exists():
filename = 'screenshot{}'.format(next_id)
next_id += 1
color_name, depth_name = filename + '.png', filename + '_depth.png'
logger.info('Saving screenshot to {}, {}...'.format(color_name, depth_name))
yield from self._io_async_executor.map(support.save_image, color_name, np.uint8(color))
yield from self._io_async_executor.map(support.save_image, depth_name, support.array_to_grayscale(depth))
yield from renderer.release()
def reconstruction_case(self, scene_name, scene, camera, projector,
viewport, projector_lods):
color, depth = self.render(scene, camera, viewport)
self.dump_debug_img(Path(scene_name) / "scene_color.png", color)
self.dump_debug_img(
Path(scene_name) / "scene_depth.png",
support.array_to_grayscale(depth))
central_line_processor = CentralLineExtractionProcessor(
debug_enabled=self.with_debug_output())
reconstructor = ReconstructionBuilder(
line_extraction_processor=central_line_processor)
self.register_releasable(projector)
for i in range(projector_lods):
projector.stripes_number = 2**i
scene.set_projector(projector)
color, depth = self.render(scene, camera, viewport)
self.dump_debug_img(
Path(scene_name) / "{}_color.png".format(i), color)
reconstructor.process_observation(i, color)
points_3d = reconstructor.build_point_cloud(projector, camera)
if self.with_debug_output():
subdir = Path(scene_name) / 'central_line'
self.dump_debug_matrix_by_hue(
subdir / 'is_edge_pixel.png',
central_line_processor._debug_last_values['is_edge_pixel'])
self.dump_debug_matrix_by_hue(
subdir / 'distance.png',
central_line_processor._debug_last_values['distance'])
self.dump_debug_matrix_by_hue(
subdir / 'is_maximum.png',
central_line_processor._debug_last_values['is_maximum'])
ply.write_ply(self.debug_dir() / scene_name / 'points.ply',
points_3d)
def _make_screenshot_and_save(self):
w, h = 2048, int(2048 * self._camera.aspect)
logger.info('Making screenshot... ({}x{})'.format(w, h))
renderer = ImageRenderer(self._gl_executor)
color, depth = yield from renderer.render(self.scene, self._camera,
(w, h))
filename = 'screenshot'
next_id = 2
while Path(filename).exists():
filename = 'screenshot{}'.format(next_id)
next_id += 1
color_name, depth_name = filename + '.png', filename + '_depth.png'
logger.info('Saving screenshot to {}, {}...'.format(
color_name, depth_name))
yield from self._io_async_executor.map(support.save_image, color_name,
np.uint8(color))
yield from self._io_async_executor.map(
support.save_image, depth_name, support.array_to_grayscale(depth))
yield from renderer.release()