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TensorFlow Graphics
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devsite-landing-row-1-up" header-position="top" > <div class="devsite-landing-row-inner"> <header class="devsite-landing-row-header" > <div class="devsite-landing-row-header-text"> <h2 id="differentiable-layers-for-graphics" data-text="Differentiable layers for graphics." tabindex="0"> Differentiable layers for graphics. </h2> </div> </header> <div class="devsite-landing-row-group"> <div class="devsite-landing-row-item devsite-landing-row-50" description-position="bottom" > <div class="devsite-landing-row-item-media "> <div class="devsite-landing-row-item-code"> <div></div><devsite-code><pre class="devsite-click-to-copy" translate="no" dir="ltr" is-upgraded syntax="NumPy"><span class="devsite-syntax-kn">import</span> <span class="devsite-syntax-nn">numpy</span> <span class="devsite-syntax-k">as</span> <span class="devsite-syntax-nn">np</span> <span class="devsite-syntax-kn">import</span> <span class="devsite-syntax-nn">tensorflow</span> <span class="devsite-syntax-k">as</span> <span class="devsite-syntax-nn">tf</span> <span class="devsite-syntax-kn">import</span> <span class="devsite-syntax-nn">trimesh</span> <span class="devsite-syntax-kn">import</span> <span class="devsite-syntax-nn">tensorflow_graphics.geometry.transformation</span> <span class="devsite-syntax-k">as</span> <span class="devsite-syntax-nn">tfg_transformation</span> <span class="devsite-syntax-kn">from</span> <span class="devsite-syntax-nn">tensorflow_graphics.notebooks</span> <span class="devsite-syntax-kn">import</span> <span class="devsite-syntax-n">threejs_visualization</span> <span class="devsite-syntax-c1"># Download the mesh.</span> <span class="devsite-syntax-err">!</span><span class="devsite-syntax-n">wget</span> <span class="devsite-syntax-n">https</span><span class="devsite-syntax-p">:</span><span class="devsite-syntax-o">//</span><span class="devsite-syntax-n">storage</span><span class="devsite-syntax-o">.</span><span class="devsite-syntax-n">googleapis</span><span class="devsite-syntax-o">.</span><span class="devsite-syntax-n">com</span><span class="devsite-syntax-o">/</span><span class="devsite-syntax-n">tensorflow</span><span class="devsite-syntax-o">-</span><span class="devsite-syntax-n">graphics</span><span class="devsite-syntax-o">/</span><span class="devsite-syntax-n">notebooks</span><span class="devsite-syntax-o">/</span><span class="devsite-syntax-n">index</span><span class="devsite-syntax-o">/</span><span class="devsite-syntax-n">cow</span><span class="devsite-syntax-o">.</span><span class="devsite-syntax-n">obj</span> <span class="devsite-syntax-c1"># Load the mesh.</span> <span class="devsite-syntax-n">mesh</span> <span class="devsite-syntax-o">=</span> <span class="devsite-syntax-n">trimesh</span><span class="devsite-syntax-o">.</span><span class="devsite-syntax-kp">load</span><span class="devsite-syntax-p">(</span><span class="devsite-syntax-s2">"cow.obj"</span><span class="devsite-syntax-p">)</span> <span class="devsite-syntax-n">mesh</span> <span class="devsite-syntax-o">=</span> <span class="devsite-syntax-p">{</span><span class="devsite-syntax-s2">"vertices"</span><span class="devsite-syntax-p">:</span> <span class="devsite-syntax-n">mesh</span><span class="devsite-syntax-o">.</span><span class="devsite-syntax-n">vertices</span><span class="devsite-syntax-p">,</span> <span class="devsite-syntax-s2">"faces"</span><span class="devsite-syntax-p">:</span> <span class="devsite-syntax-n">mesh</span><span class="devsite-syntax-o">.</span><span class="devsite-syntax-n">faces</span><span class="devsite-syntax-p">}</span> <span class="devsite-syntax-c1"># Visualize the original mesh.</span> <span class="devsite-syntax-n">threejs_visualization</span><span class="devsite-syntax-o">.</span><span class="devsite-syntax-n">triangular_mesh_renderer</span><span class="devsite-syntax-p">(</span><span class="devsite-syntax-n">mesh</span><span class="devsite-syntax-p">,</span> <span class="devsite-syntax-n">width</span><span class="devsite-syntax-o">=</span><span class="devsite-syntax-mi">400</span><span class="devsite-syntax-p">,</span> <span class="devsite-syntax-n">height</span><span class="devsite-syntax-o">=</span><span class="devsite-syntax-mi">400</span><span class="devsite-syntax-p">)</span> <span class="devsite-syntax-c1"># Set the axis and angle parameters.</span> <span class="devsite-syntax-n">axis</span> <span class="devsite-syntax-o">=</span> <span class="devsite-syntax-n">np</span><span class="devsite-syntax-o">.</span><span class="devsite-syntax-kp">array</span><span class="devsite-syntax-p">((</span><span class="devsite-syntax-mf">0.</span><span class="devsite-syntax-p">,</span> <span class="devsite-syntax-mf">1.</span><span class="devsite-syntax-p">,</span> <span class="devsite-syntax-mf">0.</span><span class="devsite-syntax-p">))</span> <span class="devsite-syntax-c1"># y axis.</span> <span class="devsite-syntax-kp">angle</span> <span class="devsite-syntax-o">=</span> <span class="devsite-syntax-n">np</span><span class="devsite-syntax-o">.</span><span class="devsite-syntax-kp">array</span><span class="devsite-syntax-p">((</span><span class="devsite-syntax-n">np</span><span class="devsite-syntax-o">.</span><span class="devsite-syntax-n">pi</span> <span class="devsite-syntax-o">/</span> <span class="devsite-syntax-mf">4.</span><span class="devsite-syntax-p">,))</span> <span class="devsite-syntax-c1"># 45 degree angle.</span> <span class="devsite-syntax-c1"># Rotate the mesh.</span> <span class="devsite-syntax-n">mesh</span><span class="devsite-syntax-p">[</span><span class="devsite-syntax-s2">"vertices"</span><span class="devsite-syntax-p">]</span> <span class="devsite-syntax-o">=</span> <span class="devsite-syntax-n">tfg_transformation</span><span class="devsite-syntax-o">.</span><span class="devsite-syntax-n">axis_angle</span><span class="devsite-syntax-o">.</span><span class="devsite-syntax-n">rotate</span><span class="devsite-syntax-p">(</span><span class="devsite-syntax-n">mesh</span><span class="devsite-syntax-p">[</span><span class="devsite-syntax-s2">"vertices"</span><span class="devsite-syntax-p">],</span> <span class="devsite-syntax-n">axis</span><span class="devsite-syntax-p">,</span> <span class="devsite-syntax-kp">angle</span><span class="devsite-syntax-p">)</span><span class="devsite-syntax-o">.</span><span class="devsite-syntax-n">numpy</span><span class="devsite-syntax-p">()</span> <span class="devsite-syntax-c1"># Visualize the rotated mesh.</span> <span class="devsite-syntax-n">threejs_visualization</span><span class="devsite-syntax-o">.</span><span class="devsite-syntax-n">triangular_mesh_renderer</span><span class="devsite-syntax-p">(</span><span class="devsite-syntax-n">mesh</span><span class="devsite-syntax-p">,</span> <span class="devsite-syntax-n">width</span><span class="devsite-syntax-o">=</span><span class="devsite-syntax-mi">400</span><span class="devsite-syntax-p">,</span> <span class="devsite-syntax-n">height</span><span class="devsite-syntax-o">=</span><span class="devsite-syntax-mi">400</span><span class="devsite-syntax-p">)</span></pre></devsite-code> <a class="colab-button" target="_blank" href="https://colab.research.google.com/github/tensorflow/graphics/blob/master/tensorflow_graphics/g3doc/_index.ipynb">Run in a <span>Notebook</span></a> </div> </div> <div class="devsite-landing-row-item-description" > <div class="devsite-landing-row-item-body"> <div class="devsite-landing-row-item-description-content"> <em>TensorFlow Graphics</em> aims at making useful graphics functions widely accessible to the community by providing a set of differentiable graphics layers (e.g. cameras, reflectance models, mesh convolutions) and 3D viewer functionalities (e.g. 3D TensorBoard) that can be used in your machine learning models of choice. <br> <br> The last few years have seen a rise in novel differentiable graphics layers which can be inserted in neural network architectures. From spatial transformers to differentiable graphics renderers, these new layers leverage the knowledge acquired over years of computer vision and graphics research to build novel and more efficient network architectures. Explicitly modeling geometric priors and constraints into machine learning models opens up the door to architectures that can be trained robustly, efficiently, and more importantly, in a self-supervised fashion. <br> <br> To get started, see a more detailed <a href="https://www.tensorflow.org/graphics/overview">overview</a>, the <a href="https://www.tensorflow.org/graphics/install">installation guide</a>, and the <a href="https://www.tensorflow.org/graphics/api_docs/python/tfg">API</a>. </div> </div> </div> </div> </div> </div> </section> <section class="devsite-landing-row devsite-landing-row-3-up devsite-landing-row-cards" header-position="top" > <div class="devsite-landing-row-inner"> <div class="devsite-landing-row-group"> <div class="devsite-landing-row-item" description-position="bottom" > <div class="devsite-landing-row-item-media "> <figure class="devsite-landing-row-item-image"> <a href="https://blog.tensorflow.org/2019/05/introducing-tensorflow-graphics_9.html"> <picture> <img alt="" src="https://www.tensorflow.org/static/resources/images/tf-logo-card-16x9.png" srcset="https://www.tensorflow.org/static/resources/images/tf-logo-card-16x9_36.png 36w,https://www.tensorflow.org/static/resources/images/tf-logo-card-16x9_48.png 48w,https://www.tensorflow.org/static/resources/images/tf-logo-card-16x9_72.png 72w,https://www.tensorflow.org/static/resources/images/tf-logo-card-16x9_96.png 96w,https://www.tensorflow.org/static/resources/images/tf-logo-card-16x9_480.png 480w,https://www.tensorflow.org/static/resources/images/tf-logo-card-16x9_720.png 720w,https://www.tensorflow.org/static/resources/images/tf-logo-card-16x9_856.png 856w,https://www.tensorflow.org/static/resources/images/tf-logo-card-16x9_960.png 960w,https://www.tensorflow.org/static/resources/images/tf-logo-card-16x9_1440.png 1440w,https://www.tensorflow.org/static/resources/images/tf-logo-card-16x9_1920.png 1920w,https://www.tensorflow.org/static/resources/images/tf-logo-card-16x9_2880.png 2880w" sizes="(max-width: 840px) 50vw, 464px" loading="lazy" > </picture> </a> </figure> </div> <div class="devsite-landing-row-item-description" > <div class="devsite-landing-row-item-body"> <h3 id="introducing-tensorflow-graphics" data-text="Introducing TensorFlow Graphics" class="hide-from-toc no-link" tabindex="0"> <a href="https://blog.tensorflow.org/2019/05/introducing-tensorflow-graphics_9.html"> Introducing TensorFlow Graphics </a> </h3> <div class="devsite-landing-row-item-buttons"> <a href="https://blog.tensorflow.org/2019/05/introducing-tensorflow-graphics_9.html" class="button button-white " >Read on TensorFlow blog</a> </div> </div> </div> </div> <div class="devsite-landing-row-item" description-position="bottom" > <div class="devsite-landing-row-item-media "> <devsite-video autohide="1" showinfo="0" video-id="Un0JDL3i5Hg" ></devsite-video> </div> <div class="devsite-landing-row-item-description" > <div class="devsite-landing-row-item-body"> <h3 id="cutting-edge-tensorflow-google-io19" data-text="Cutting Edge TensorFlow (Google I/O'19)" class="hide-from-toc no-link" tabindex="0"> <a href="https://youtu.be/Un0JDL3i5Hg?t=1614"> Cutting Edge TensorFlow (Google I/O'19) </a> </h3> <div class="devsite-landing-row-item-buttons"> <a href="https://youtu.be/Un0JDL3i5Hg?t=1614" class="button button-white " >Watch the video</a> </div> </div> </div> </div> <div class="devsite-landing-row-item" description-position="bottom" > <div class="devsite-landing-row-item-media "> <figure class="devsite-landing-row-item-image"> <a href="https://github.com/tensorflow/graphics"> <picture> <img alt="" src="https://www.tensorflow.org/static/resources/images/github-card-16x9.png" srcset="https://www.tensorflow.org/static/resources/images/github-card-16x9_36.png 36w,https://www.tensorflow.org/static/resources/images/github-card-16x9_48.png 48w,https://www.tensorflow.org/static/resources/images/github-card-16x9_72.png 72w,https://www.tensorflow.org/static/resources/images/github-card-16x9_96.png 96w,https://www.tensorflow.org/static/resources/images/github-card-16x9_480.png 480w,https://www.tensorflow.org/static/resources/images/github-card-16x9_720.png 720w,https://www.tensorflow.org/static/resources/images/github-card-16x9_856.png 856w,https://www.tensorflow.org/static/resources/images/github-card-16x9_960.png 960w,https://www.tensorflow.org/static/resources/images/github-card-16x9_1440.png 1440w,https://www.tensorflow.org/static/resources/images/github-card-16x9_1920.png 1920w,https://www.tensorflow.org/static/resources/images/github-card-16x9_2880.png 2880w" sizes="(max-width: 840px) 50vw, 464px" loading="lazy" > </picture> </a> </figure> </div> <div class="devsite-landing-row-item-description" > <div class="devsite-landing-row-item-body"> <h3 id="tensorflow-graphics-on-github" data-text="TensorFlow Graphics on GitHub" class="hide-from-toc no-link" tabindex="0"> <a href="https://github.com/tensorflow/graphics"> TensorFlow Graphics on GitHub </a> </h3> <div class="devsite-landing-row-item-buttons"> <a href="https://github.com/tensorflow/graphics" class="button button-white " >View on GitHub</a> </div> </div> </div> </div> </div> </div> </section> </div> <div class="devsite-floating-action-buttons"> </div> </article> <devsite-notification > </devsite-notification> <div class="devsite-content-data"> <template class="devsite-content-data-template"> [[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],[],[],[]] </template> </div> </devsite-content> </main> <devsite-footer-promos 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