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draft: add a way to visualize scene box, seed points, and modify if wanted #3363

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@hoanhle hoanhle commented Aug 13, 2024

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Comment on lines +421 to +433
def update_scene_box(self):
min_coords = np.minimum(self.transform_controls[0].position, self.transform_controls[1].position)
max_coords = np.maximum(self.transform_controls[0].position, self.transform_controls[1].position)

new_aabb = torch.tensor(
[min_coords / VISER_NERFSTUDIO_SCALE_RATIO, max_coords / VISER_NERFSTUDIO_SCALE_RATIO],
device=self.pipeline.model.device,
requires_grad=False,
)

self.pipeline.model.scene_box = SceneBox(aabb=new_aabb)
self.pipeline.model.render_aabb = SceneBox(aabb=new_aabb)
self.pipeline.model.populate_modules()
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Using device=self.pipeline.model.device for new_aabb seems to cause issues where tensors end up on different devices later in the process. I'm not entirely sure what the best solution is to address this.

@brentyi @tancik, since you both work with this part of the codebase frequently, do you have any suggestions?

Comment on lines 83 to 91
self.num_train_data = num_train_data
self.kwargs = kwargs
self.collider = None

self.populate_modules() # populate the modules
self.device = device
self.seed_points = seed_points
self.callbacks = None
# to keep track of which device the nn.Module is on
self.device_indicator_param = nn.Parameter(torch.empty(0))

@property
def device(self):
"""Returns the device that the model is on."""
return self.device_indicator_param.device
self.populate_modules() # populate the modules

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get the device from pipeline.

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2 participants