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"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Sample Representation"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import torch\n",
"from pyrad.cameras import cameras\n",
"from pyrad.utils import plotly as vis\n",
"import plotly.graph_objects as go\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"A core component of volumetric rendering is computing samples along a ray. The representation of these samples is important. We use conical frustums to represent samples. The conical frustums are defined via the following parameters:\n",
"\n",
"![\"Frustums](\"imgs/frustums.png\")
"
]
},
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"execution_count": 2,
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"data": {
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" "
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"cx = 2\n",
"cy = 2\n",
"fx = 10\n",
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"\n",
"num_samples = 3\n",
"near_plane = 1\n",
"far_plane = 3\n",
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"fig = go.Figure(\n",
" data=[vis_rays] + vis.get_frustums_mesh_list(ray_samples.frustums),\n",
" layout=go.Layout(scene_camera=dict(up=dict(x=0, y=1, z=0)), title=\"Frustums\"),\n",
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"fig = go.Figure(\n",
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""
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"source": [
"fig = go.Figure(\n",
" data=[vis_rays] + vis.get_frustums_gaussian_list(ray_samples.frustums),\n",
" layout=go.Layout(scene_camera=dict(up=dict(x=0, y=1, z=0)), title=\"Frustums as Gaussians\"),\n",
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"fig.show()\n"
]
}
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