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https://github.com/nerfstudio-project/nerfstudio.git
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90 lines
2.4 KiB
Python
90 lines
2.4 KiB
Python
"""
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Test renderers
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"""
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import pytest
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import torch
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from nerfstudio.cameras.rays import Frustums, RaySamples
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from nerfstudio.model_components import renderers
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def test_rgb_renderer():
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"""Test RGB volumetric rendering"""
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num_samples = 10
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rgb_samples = torch.ones((3, num_samples, 3))
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weights = torch.ones((3, num_samples, 1))
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weights /= torch.sum(weights, dim=-2, keepdim=True)
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rgb_renderer = renderers.RGBRenderer()
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rgb = rgb_renderer(rgb=rgb_samples, weights=weights)
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assert torch.max(rgb) > 0.9
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rgb = rgb_renderer(rgb=rgb_samples * 0, weights=weights)
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assert torch.max(rgb) == pytest.approx(0, abs=1e-6)
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def test_sh_renderer():
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"""Test SH volumetric rendering"""
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levels = 4
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num_samples = 10
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sh = torch.ones((3, num_samples, 3 * levels**2))
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weights = torch.ones((3, num_samples, 1))
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weights /= torch.sum(weights, dim=-2, keepdim=True)
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directions = torch.zeros((3, num_samples, 3))
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directions[..., 0] = 1
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sh_renderer = renderers.SHRenderer()
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rgb = sh_renderer(sh=sh, directions=directions, weights=weights)
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assert torch.max(rgb) > 0.9
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def test_acc_renderer():
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"""Test accumulation rendering"""
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num_samples = 10
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weights = torch.ones((3, num_samples, 1))
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weights /= torch.sum(weights, dim=-2, keepdim=True)
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acc_renderer = renderers.AccumulationRenderer()
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accumulation = acc_renderer(weights=weights)
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assert torch.max(accumulation) > 0.9
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def test_depth_renderer():
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"""Test depth rendering"""
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num_samples = 10
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weights = torch.ones((num_samples, 1))
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weights /= torch.sum(weights, dim=-2, keepdim=True)
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frustums = Frustums.get_mock_frustum()
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frustums.starts = torch.linspace(0, 100, num_samples)[..., None]
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frustums.ends = torch.linspace(1, 101, num_samples)[..., None]
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ray_samples = RaySamples(
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frustums=frustums,
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camera_indices=torch.ones((num_samples, 1)),
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deltas=torch.ones((num_samples, 1)),
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)
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depth_renderer = renderers.DepthRenderer(method="median")
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depth = depth_renderer(weights=weights, ray_samples=ray_samples)
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assert torch.min(depth) > 0
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depth_renderer = renderers.DepthRenderer(method="expected")
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depth = depth_renderer(weights=weights, ray_samples=ray_samples)
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assert torch.min(depth) > 0
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if __name__ == "__main__":
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test_rgb_renderer()
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test_sh_renderer()
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test_acc_renderer()
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test_depth_renderer()
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