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https://github.com/nerfstudio-project/nerfstudio.git
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fb440fedf3
* occupancy grid in progress * visualizing occupancy grid. currently restructing field and renderer head outputs * black and pylint. broke nerfw and semantic nerf but it's okay * get_project_root
79 lines
1.9 KiB
Python
79 lines
1.9 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 mattport.nerf 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))
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weights /= torch.sum(weights, axis=-1, 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)
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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))
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weights /= torch.sum(weights, axis=-1, 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))
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weights /= torch.sum(weights, axis=-1, 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((3, num_samples))
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weights /= torch.sum(weights, axis=-1, keepdim=True)
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ts = torch.linspace(0, 100, num_samples)
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ts = torch.stack([ts, ts, ts], dim=0)
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depth_renderer = renderers.DepthRenderer()
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depth = depth_renderer(weights=weights, ts=ts)
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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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