mirror of
https://github.com/nerfstudio-project/nerfstudio.git
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d6bb8bd8e5
* Attempt fixes for instant-ngp * Run `ns-dev-test` * Remove NGP field implementation * Test nerfacto field instead of ngp field * Black
50 lines
1.4 KiB
Python
50 lines
1.4 KiB
Python
"""
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Test the fields
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"""
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import torch
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from nerfstudio.cameras.rays import Frustums, RaySamples
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from nerfstudio.fields.nerfacto_field import NerfactoField
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def test_nerfacto_field():
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"""Test the Nerfacto field"""
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try:
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import tinycudann as tcnn # noqa: F401
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except ModuleNotFoundError as e:
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# tinycudann module doesn't exist
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print(e)
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return
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device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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aabb_scale = 1.0
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aabb = torch.tensor(
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[[-aabb_scale, -aabb_scale, -aabb_scale], [aabb_scale, aabb_scale, aabb_scale]],
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dtype=torch.float32,
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device=device,
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)
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field = NerfactoField(aabb, num_images=1).to(device)
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num_rays = 1024
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num_samples = 256
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positions = torch.rand((num_rays, num_samples, 3), dtype=torch.float32, device=device)
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directions = torch.rand_like(positions)
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frustums = Frustums(
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origins=positions,
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directions=directions,
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starts=torch.zeros((*directions.shape[:-1], 1), device=device),
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ends=torch.zeros((*directions.shape[:-1], 1), device=device),
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pixel_area=torch.ones((*directions.shape[:-1], 1), device=device),
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)
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ray_samples = RaySamples(
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frustums=frustums,
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camera_indices=torch.zeros(
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(num_rays, 1, 1),
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device=device,
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dtype=torch.int32,
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),
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)
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field.forward(ray_samples)
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if __name__ == "__main__":
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test_nerfacto_field()
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