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56 lines
1.5 KiB
Python
56 lines
1.5 KiB
Python
"""
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Test samplers
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"""
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from random import uniform
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import pytest
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import torch
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from mattport.nerf.sampler import PDFSampler, UniformSampler
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from mattport.structures.cameras import Rays
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from mattport.structures.rays import RayBundle
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def test_uniform_sampler():
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"""Test uniform sampler"""
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near_plane = 2
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far_plane = 4
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num_samples = 15
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sampler = UniformSampler(near_plane=near_plane, far_plane=far_plane, num_samples=num_samples)
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origins = torch.zeros((10, 3))
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directions = torch.ones_like(origins)
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ray_bundle = RayBundle(origins=origins, directions=directions)
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ray_samples = sampler(ray_bundle)
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assert ray_samples.bins.shape[-1] == num_samples + 1
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# TODO Tancik: Add more precise tests
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def test_pdf_sampler():
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"""Test pdf sampler"""
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near_plane = 2
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far_plane = 4
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num_samples = 15
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origins = torch.zeros((10, 3))
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directions = torch.ones_like(origins)
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ray_bundle = RayBundle(origins=origins, directions=directions)
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density = torch.ones((10, num_samples, 1))
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uniform_sampler = UniformSampler(near_plane=near_plane, far_plane=far_plane, num_samples=num_samples)
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coarse_ray_samples = uniform_sampler(ray_bundle)
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# Just check that it doesn't crash. Need to add some actual tests.
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pdf_sampler = PDFSampler(num_samples)
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ray_samples = pdf_sampler(ray_bundle, coarse_ray_samples, density, num_samples)
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# TODO Tancik: Add more precise tests
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if __name__ == "__main__":
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test_uniform_sampler()
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test_pdf_sampler()
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