{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Mitsuba quickstart" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Overview\n", "\n", "In this tutorial, you will render your very first image using Mitsuba 3!\n", "\n", "
\n", "\n", "🚀 **You will learn how to:**\n", "\n", "\n", "\n", "
" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Importing Mitsuba\n", "\n", "After [installing][1] the Mitsuba Python module, it can be imported as follows:\n", "\n", "[1]:https://mitsuba.readthedocs.io/en/latest/index.html#installation" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import mitsuba as mi" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We use the short alias `mi` for `mitsuba` to improve code readability.\n", "\n", "Mitsuba is a *retargetable* system that supports a variety of different computational backends (e.g., GPU, CPU), color representations (e.g., RGB, spectral or polarized) and floating point precisions (single and double precision). We call a specific combination of these attributes a *variant* of the renderer. For more information about the supported variants, please refer to the [dedicated section][2] in the documentation.\n", "\n", "In brief the system implements the following computational backends:\n", "\n", "- `scalar`: runs on CPU, using normal floating point arithmetic, processing individual rays at a time\n", "- `llvm`: runs on CPU, automatically parallelized over cores and vector units\n", "- `cuda`: runs on NVidia GPU in parallel\n", "\n", "Under the hood, we essentially compile a different renderer for each variant. Therefore, using any components of the system requires first setting the desired variant using the [set_variant()][1] function. Only then function calls or class instantiations can be routed to a specific underlying implementation. For most use cases, it is sufficient to set the variant once at the beginning of the program. For example, if your project consists of a `my_script.py` file with some helper functions in a `my_utils.py`, you most likely only want to specify the variant at the beginning of the execution in `my_script.py`. It is possible to switch the variant at any point of the execution, but this should typically not be necessary. Plugins and objects created using different variants are not compatible (e.g., it's not possible to load a scene in a GPU variant and then render it on the CPU).\n", "\n", "Using the [variants()][3] function, it is possible to list all Mitsuba variants installed on your system:\n", "\n", "[1]:https://mitsuba.readthedocs.io/en/latest/src/api_reference.html#mitsuba.set_variant\n", "[2]:https://mitsuba.readthedocs.io/en/latest/src/key_topics/variants.html\n", "[3]:https://mitsuba.readthedocs.io/en/latest/src/api_reference.html#mitsuba.variants" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "['scalar_rgb', 'llvm_ad_rgb']" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "mi.variants()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "For this tutorial, we will use the simplest variant: `scalar_rgb`. As the name implies, computations will be performed in a scalar-fashion (i.e., not vectorized) on the CPU and the light transport simulation will operate on RGB color values. The code in the rest of the tutorial is agnostic to the variant and could for example also be run using a GPU variant of the system. We will discuss these and other variants in later tutorials." ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "mi.set_variant(\"scalar_rgb\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", " \n", "📑 **Note**\n", " \n", "If your are new to the Mitsuba Python API, is it important to remember that you can use the `help()` function on Mitsuba classes and functions to read the well-documented API reference. Additionally, Mitsuba 3 has support for autocomplete with most modern IDEs to make things easier for new users.\n", "
" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Loading a scene\n", "\n", "In this tutorial, we are going to load a Mitsuba scene from a file on disk. Mitsuba scenes are described using a simple and general [XML-based format][1].\n", "\n", "A [few example scenes][2] can be downloaded clicking the \"Download data\" button at the top of the tutorial page. We can then load a scene from an XML file using the [load_file()][3] function:\n", "\n", "[1]: https://mitsuba.readthedocs.io/en/latest/src/key_topics/scene_format.html\n", "[2]: https://rgl.s3.eu-central-1.amazonaws.com/scenes/tutorials/scenes.zip\n", "[3]: https://mitsuba.readthedocs.io/en/latest/src/api_reference.html#mitsuba.load_file" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "scene = mi.load_file(\"../scenes/cbox.xml\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Rendering a scene\n", "\n", "Once loaded into memory, a scene can be rendered using the [render()][1] function. The `render()` function has a variety of optional arguments. We can for example pass the desired number of samples per pixel (SPP).\n", "\n", "[1]: https://mitsuba.readthedocs.io/en/latest/src/api_reference.html#mitsuba.render" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "b4de3df6d6434138bff5a55f084c8353", "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": [ "image = mi.render(scene, spp=256)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The render function returns the generated image as a tensor ([mi.TensorXf][1], similar to a NumPy array) in linear RGB color space. The tensor class interfaces seamlessly with functions expecting NumPy arrays. For example, we can display the image using `matplotlib`.\n", "\n", "[1]: https://mitsuba.readthedocs.io/en/latest/src/api_reference.html#mitsuba.TensorXf" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "nbsphinx-thumbnail": {} }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n" ] }, { "data": { "image/png": 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", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "import matplotlib.pyplot as plt\n", "\n", "plt.axis(\"off\")\n", "plt.imshow(image ** (1.0 / 2.2)); # approximate sRGB tonemapping" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Writing an image to file\n", "\n", "The [mi.util.write_bitmap()][1] function allows to save an image to disk and supports multiple file formats. If a low dynamic range (LDR) format is selected (e.g., PNG), this function tonemaps the image to the sRGB color space before saving.\n", "\n", "[1]: https://mitsuba.readthedocs.io/en/latest/src/api_reference.html#mitsuba.util.write_bitmap" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [], "source": [ "mi.util.write_bitmap(\"my_first_render.png\", image)\n", "mi.util.write_bitmap(\"my_first_render.exr\", image)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Bravo! 🎉 \n", "You have now successfully rendered your first image!" ] }, { "cell_type": "markdown", "metadata": { "tags": [] }, "source": [ "## See also\n", "\n", "- [mitsuba.set_variant()][1]\n", "- [mitsuba.load_file()][2]\n", "- [mitsuba.render()][3]\n", "- [mitsuba.util.write_bitmap()][4]\n", "\n", "[1]: https://mitsuba.readthedocs.io/en/latest/src/api_reference.html#mitsuba.set_variant\n", "[2]: https://mitsuba.readthedocs.io/en/latest/src/api_reference.html#mitsuba.load_file\n", "[3]: https://mitsuba.readthedocs.io/en/latest/src/api_reference.html#mitsuba.render\n", "[4]: https://mitsuba.readthedocs.io/en/latest/src/api_reference.html#mitsuba.Bitmap.write" ] } ], "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 }