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7e9a56fac4
* starting docs for pipelines * working on an example * clearing output * starting to implement config changes and add documentation * wip: removed cicular imports; porting basic config into python; todo: get python setups workin * circular imports again * wip: pausing at dataloader sort of working * break for today * running vanilla * wip need to get all the config docs working * laptop about to die * instant ngp working * added all configs for all methods; not tested yet: [mipnerf360, nerfw, semantic_nerf] * unpacking later * done with pylinting * mostly done. just need to do docs and one test * added import order to docs * fixing near/far plane and other config things * making loggers also instantiable via configs * docs * lint * making --help work with dcargs * moving configs back into flat * convert list to tuples; fixed post init function with mutable params * lint * made run_eval and benchmarking scripts compatible with new config/dcargs * lint * added option to load configs from presaved config Co-authored-by: evonneng <evonne_ng@berkeley.edu>
114 lines
3.3 KiB
Python
114 lines
3.3 KiB
Python
"""
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Test samplers
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"""
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import torch
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from nerfactory.cameras.rays import RayBundle
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from nerfactory.models.modules.ray_sampler import (
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LinearDisparitySampler,
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LogSampler,
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PDFSampler,
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SqrtSampler,
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UniformSampler,
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)
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from nerfactory.models.modules.scene_colliders import NearFarCollider
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def test_uniform_sampler():
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"""Test uniform sampler"""
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num_samples = 15
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sampler = UniformSampler(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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radius = torch.ones((10, 1))
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ray_bundle = RayBundle(origins=origins, directions=directions, pixel_area=radius)
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collider = NearFarCollider(near_plane=2, far_plane=4)
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ray_bundle = collider(ray_bundle)
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ray_samples = sampler(ray_bundle)
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assert ray_samples.frustums.get_positions().shape[-2] == num_samples
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# TODO Tancik: Add more precise tests
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def test_lin_disp_sampler():
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"""Test linear in disparity sampler"""
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num_samples = 15
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sampler = LinearDisparitySampler(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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radius = torch.ones((10, 1))
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ray_bundle = RayBundle(origins=origins, directions=directions, pixel_area=radius)
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collider = NearFarCollider(near_plane=2, far_plane=4)
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ray_bundle = collider(ray_bundle)
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ray_samples = sampler(ray_bundle)
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assert ray_samples.frustums.get_positions().shape[-2] == num_samples
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def test_sqrt_sampler():
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"""Test square root sampler"""
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num_samples = 15
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sampler = SqrtSampler(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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radius = torch.ones((10, 1))
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ray_bundle = RayBundle(origins=origins, directions=directions, pixel_area=radius)
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collider = NearFarCollider(near_plane=2, far_plane=4)
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ray_bundle = collider(ray_bundle)
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ray_samples = sampler(ray_bundle)
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assert ray_samples.frustums.get_positions().shape[-2] == num_samples
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def test_log_sampler():
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"""Test log sampler"""
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num_samples = 15
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sampler = LogSampler(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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radius = torch.ones((10, 1))
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ray_bundle = RayBundle(origins=origins, directions=directions, pixel_area=radius)
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collider = NearFarCollider(near_plane=2, far_plane=4)
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ray_bundle = collider(ray_bundle)
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ray_samples = sampler(ray_bundle)
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assert ray_samples.frustums.get_positions().shape[-2] == num_samples
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def test_pdf_sampler():
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"""Test pdf sampler"""
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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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radius = torch.ones((10, 1))
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ray_bundle = RayBundle(origins=origins, directions=directions, pixel_area=radius)
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collider = NearFarCollider(near_plane=2, far_plane=4)
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ray_bundle = collider(ray_bundle)
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uniform_sampler = UniformSampler(num_samples=num_samples)
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coarse_ray_samples = uniform_sampler(ray_bundle)
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weights = torch.ones((10, num_samples, 1))
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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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pdf_sampler(ray_bundle, coarse_ray_samples, weights, 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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