{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Rendering from multiple view points" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Overview\n", "\n", "In this tutorial, you will learn how to render a given scene from multiple points of view. This can be very convenient if you wish to generate a large synthetic dataset, or are doing some multi-view optimization.\n", "\n", "
\n", "\n", "🚀 **You will learn how to:**\n", "\n", "\n", "\n", "
" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Setup\n", "\n", "Let us start by importing `mitsuba` and setting the variant." ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import mitsuba as mi\n", "mi.set_variant(\"scalar_rgb\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Loading a scene\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In [previous tutorials][6], we have seen how to load a Mitsuba scene from an XML file. In Mitsuba 3, it is also possbile to load a scene defined by Python dictionary using [load_dict()][1].\n", "\n", "In fact, the `load_dict()` function allows us to load any Mitsuba object by describing it as a Python `dict`. The exact form of the dictionary can be easily deduced from the equivalent XML representation, and more information on this subject can be found in the dedicated [documentation chapter][2]. The [plugin documentation][3] also shows how to load each plugin using either XML or `dict`. Everything achievable with the XML scene format should be achievable using Python `dict`s as well.\n", "\n", "In the following cell, we instantiate a scene containing a teapot mesh and a constant light source. This tutorial makes heavy use of the [ScalarTransform4f][4] class to create transformations. Take a look at the dedicated [How-to Guide][5] for more information on how to use it.\n", "\n", "
\n", "\n", "🗒 **Note**\n", "\n", "Notice the `Scalar` prefix in `ScalarTransform4f`. This indicates that no matter which variant of Mitsuba is enabled, this type will always refer to the CPU scalar transformation type (which can also be accessed with `mitsuba.scalar_rgb.Transform4f`. The same applies to all basic types (e.g. `Float`, `UInt32`) and other data-structure type (e.g. `Ray3f`, `SurfaceInteraction3f`), which can all be prefixed with `Scalar` to obtain the corresponding CPU scalar type.\n", "\n", "
\n", "\n", "[1]: https://mitsuba.readthedocs.io/en/latest/src/api_reference.html#mitsuba.load_dict\n", "[2]: https://mitsuba.readthedocs.io/en/latest/src/key_topics/scene_format.html#scene-python-dict-format\n", "[3]: https://mitsuba.readthedocs.io/en/latest/src/plugin_reference.html\n", "[4]: https://mitsuba.readthedocs.io/en/latest/src/api_reference.html#mitsuba.ScalarTransform4f\n", "[5]: https://mitsuba.readthedocs.io/en/latest/src/how_to_guides/transformation_toolbox.html#Transform\n", "[6]: https://mitsuba.readthedocs.io/en/latest/src/quickstart/mitsuba_quickstart.html#Loading-a-scene" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "# Create an alias for convenience\n", "from mitsuba import ScalarTransform4f as T\n", "\n", "scene = mi.load_dict({\n", " 'type': 'scene',\n", " # The keys below correspond to object IDs and can be chosen arbitrarily\n", " 'integrator': {'type': 'path'},\n", " 'light': {'type': 'constant'},\n", " 'teapot': {\n", " 'type': 'ply',\n", " 'filename': '../scenes/meshes/teapot.ply',\n", " 'to_world': T.translate([0, 0, -1.5]),\n", " 'bsdf': {\n", " 'type': 'diffuse',\n", " 'reflectance': {'type': 'rgb', 'value': [0.1, 0.2, 0.3]},\n", " },\n", " },\n", "})" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Next, let's create our sensors!" ] }, { "cell_type": "markdown", "metadata": { "tags": [] }, "source": [ "## Creating sensors\n", "\n", "Mitsuba provides a high level `Sensor` abstraction, along with a `Film` abstraction, which define how radiance from our scene should be recorded. For the purpose of this tutorial, we will focus on the sensor's placement and skip over all other parameters. Of course, if you wished to do so, it is entirely possible to define multiple radically different sensors. You can learn more about the different types of sensors and films that are included in Mitsuba in the [plugin documentation][1]. \n", "\n", "In this tutorial, we are going to render our scene from multiple points of view placed around the teapot in a circular fashion. To this end, let's define a helper function `load_sensor` that creates a sensor with a specific position given as input in spherical coordinates. As previously mentionned, `load_dict()` can be used to load a single Mitsuba object too and not just entire scenes, so let's make use of it here.\n", "\n", "Note that although we create a new `sampler` and `film` per sensor instance, it is possible to create a single instance of each that are then shared by all sensors.\n", "\n", "[1]: https://mitsuba.readthedocs.io/en/latest/src/plugin_reference.html" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "def load_sensor(r, phi, theta):\n", " # Apply two rotations to convert from spherical coordinates to world 3D coordinates.\n", " origin = T.rotate([0, 0, 1], phi).rotate([0, 1, 0], theta) @ mi.ScalarPoint3f([0, 0, r])\n", "\n", " return mi.load_dict({\n", " 'type': 'perspective',\n", " 'fov': 39.3077,\n", " 'to_world': T.look_at(\n", " origin=origin, \n", " target=[0, 0, 0], \n", " up=[0, 0, 1]\n", " ),\n", " 'sampler': {\n", " 'type': 'independent', \n", " 'sample_count': 16\n", " },\n", " 'film': {\n", " 'type': 'hdrfilm',\n", " 'width': 256,\n", " 'height': 256,\n", " 'rfilter': {\n", " 'type': 'tent',\n", " },\n", " 'pixel_format': 'rgb',\n", " },\n", " })" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Rendering using a specific sensor\n", "\n", "The [render()][1] function can take quite a few aditional arguments. In a previous tutorial, we have seen that we can specify the number of samples per pixel with the keyword argument `spp`. We can also dynamically specify a sensor with the `sensor` keyword argument that should be used instead of the first sensor defined in the scene, which would be used by default. The previous [tutorial][2] showed how `mi.traverse` can be used to edit scenes. That same mechanism could be used to edit the sensor after each render. However, we would be limited to editing the parameters that are exposed by the object. The `sensor` keyword argument of `render` is therefore much more powerful if you wish to render a same scene from mulitple points of view.\n", "\n", "In this example, we place the sensors at a fixed latitude (defined by `theta`) on a large sphere of radius `radius` centered on the teapot, and vary the longitude with different values of $\\phi$ (defined by `phis`).\n", "\n", "[1]: https://mitsuba.readthedocs.io/en/latest/src/api_reference.html#mitsuba.render\n", "[2]: https://mitsuba.readthedocs.io/en/latest/src/rendering/editing_a_scene.html" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "sensor_count = 6\n", "\n", "radius = 12\n", "phis = [20.0 * i for i in range(sensor_count)]\n", "theta = 60.0\n", "\n", "sensors = [load_sensor(radius, phi, theta) for phi in phis]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We are now ready to render from each of our sensors." ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "4aaac7be69ef4a9db422f55c67f3bee7", "version_major": 2, "version_minor": 0 }, "text/plain": [ "VBox(children=(HTML(value=''), FloatProgress(value=0.0, bar_style='info', layout=Layout(width='100%'), max=1.0…" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "69a220cea6554a15818a0dcda2b214bf", "version_major": 2, "version_minor": 0 }, "text/plain": [ "VBox(children=(HTML(value=''), FloatProgress(value=0.0, bar_style='info', layout=Layout(width='100%'), max=1.0…" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "136177f4057f4068b11596117d2f58d2", "version_major": 2, "version_minor": 0 }, "text/plain": [ "VBox(children=(HTML(value=''), FloatProgress(value=0.0, bar_style='info', layout=Layout(width='100%'), max=1.0…" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "17698c168a2a48ab9ec9d11305aae8c1", "version_major": 2, "version_minor": 0 }, "text/plain": [ "VBox(children=(HTML(value=''), FloatProgress(value=0.0, bar_style='info', layout=Layout(width='100%'), max=1.0…" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "86436f2934834c9c8a3344699eb287cd", "version_major": 2, "version_minor": 0 }, "text/plain": [ "VBox(children=(HTML(value=''), FloatProgress(value=0.0, bar_style='info', layout=Layout(width='100%'), max=1.0…" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "fd8a0edba2844eb6bc5bffbfbc04f2f6", "version_major": 2, "version_minor": 0 }, "text/plain": [ "VBox(children=(HTML(value=''), FloatProgress(value=0.0, bar_style='info', layout=Layout(width='100%'), max=1.0…" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "images = [mi.render(scene, spp=16, sensor=sensor) for sensor in sensors]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Finally, we can use the convenient [Bitmap][1] class to quickly visualize our six rendered images directly in the notebook.\n", "\n", "[1]: https://mitsuba.readthedocs.io/en/latest/src/api_reference.html#mitsuba.Bitmap" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "nbsphinx-thumbnail": {}, "tags": [] }, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "from matplotlib import pyplot as plt\n", "fig = plt.figure(figsize=(10, 7))\n", "fig.subplots_adjust(wspace=0, hspace=0)\n", "for i in range(sensor_count):\n", " ax = fig.add_subplot(2, 3, i + 1).imshow(images[i] ** (1.0 / 2.2))\n", " plt.axis(\"off\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## See also\n", "\n", "- [mitsuba.load_dict()](https://mitsuba.readthedocs.io/en/latest/src/api_reference.html#mitsuba.load_dict)\n", "- [Mitsuba dictionary format](https://mitsuba.readthedocs.io/en/latest/src/key_topics/scene_format.html#scene-python-dict-format)" ] } ], "metadata": { "celltoolbar": "Edit Metadata", "file_extension": ".py", "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.12" }, "metadata": { "interpreter": { "hash": "31f2aee4e71d21fbe5cf8b01ff0e069b9275f58929596ceb00d14d90e3e16cd6" } }, "mimetype": "text/x-python", "name": "python", "npconvert_exporter": "python", "pygments_lexer": "ipython3", "version": 3 }, "nbformat": 4, "nbformat_minor": 4 }