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<!doctype html><html lang="en"><head><title data-rh="true">Technical Gear of GlamAR. 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(min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 1195px" type="image/webp"/><source data-testid="og" srcSet="https://miro.medium.com/v2/resize:fit:640/1*2LGO321WErg9zJgkJd5uHg.png 640w, https://miro.medium.com/v2/resize:fit:720/1*2LGO321WErg9zJgkJd5uHg.png 720w, https://miro.medium.com/v2/resize:fit:750/1*2LGO321WErg9zJgkJd5uHg.png 750w, https://miro.medium.com/v2/resize:fit:786/1*2LGO321WErg9zJgkJd5uHg.png 786w, https://miro.medium.com/v2/resize:fit:828/1*2LGO321WErg9zJgkJd5uHg.png 828w, https://miro.medium.com/v2/resize:fit:1100/1*2LGO321WErg9zJgkJd5uHg.png 1100w, https://miro.medium.com/v2/resize:fit:2390/1*2LGO321WErg9zJgkJd5uHg.png 2390w" sizes="(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 1195px"/><img alt="" class="bh mq np c" width="1195" height="493" loading="eager" role="presentation"/></picture></figure></div><div class="ab cb"><div class="ci bh fz ga gb gc"><p id="3e3c" class="pw-post-body-paragraph nq nr gu ns b ht nt nu nv hw nw nx ny nz oa ob oc od oe of og oh oi oj ok ol gn bk"><strong class="ns gv">Have you ever wondered what leads to product development?</strong></p><p id="86d4" class="pw-post-body-paragraph nq nr gu ns b ht nt nu nv hw nw nx ny nz oa ob oc od oe of og oh oi oj ok ol gn bk">Is it the idea and the right mix of talent and passion? Well, all of those are important ingredients but the most significant is a problem statement. There should be a viable need for the product.</p><p id="26b5" class="pw-post-body-paragraph nq nr gu ns b ht nt nu nv hw nw nx ny nz oa ob oc od oe of og oh oi oj ok ol gn bk">At Fynd, we develop innovative technology for the retail industry. When we studied the demands of the ecommerce industry, we realized that selling makeup on online mediums is challenging for beauty brands. Its tough because its only natural for buyers to reach a purchase decision based on physical product application.</p><p id="fcc8" class="pw-post-body-paragraph nq nr gu ns b ht nt nu nv hw nw nx ny nz oa ob oc od oe of og oh oi oj ok ol gn bk">Our product journey started with this problem statement and the need for <strong class="ns gv">Virtual Makeup</strong> technology. The pandemic further created the demand for safe, contactless shopping.</p><h1 id="587c" class="om on gu bf oo op oq hv or os ot hy ou ov ow ox oy oz pa pb pc pd pe pf pg ph bk"><strong class="al">What is GlamAR ?</strong></h1><p id="e910" class="pw-post-body-paragraph nq nr gu ns b ht pi nu nv hw pj nx ny nz pk ob oc od pl of og oh pm oj ok ol gn bk"><a class="af pn" href="http://glamar.io" rel="noopener ugc nofollow" target="_blank">GlamAR </a>is a Virtual Makeup try-on solution that assists shoppers in virtually trying makeup. They can try out multiple products, see what fits their need and make a hassle-free purchase decision.</p><figure class="nk nl nm nn no nj po pp paragraph-image"><div class="po pp pq"><picture><source srcSet="https://miro.medium.com/v2/resize:fit:640/format:webp/1*pWJfmjkUsqbEbgWDECv-pw.gif 640w, https://miro.medium.com/v2/resize:fit:720/format:webp/1*pWJfmjkUsqbEbgWDECv-pw.gif 720w, https://miro.medium.com/v2/resize:fit:750/format:webp/1*pWJfmjkUsqbEbgWDECv-pw.gif 750w, https://miro.medium.com/v2/resize:fit:786/format:webp/1*pWJfmjkUsqbEbgWDECv-pw.gif 786w, https://miro.medium.com/v2/resize:fit:828/format:webp/1*pWJfmjkUsqbEbgWDECv-pw.gif 828w, https://miro.medium.com/v2/resize:fit:1100/format:webp/1*pWJfmjkUsqbEbgWDECv-pw.gif 1100w, https://miro.medium.com/v2/resize:fit:994/format:webp/1*pWJfmjkUsqbEbgWDECv-pw.gif 994w" sizes="(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 497px" type="image/webp"/><source data-testid="og" srcSet="https://miro.medium.com/v2/resize:fit:640/1*pWJfmjkUsqbEbgWDECv-pw.gif 640w, https://miro.medium.com/v2/resize:fit:720/1*pWJfmjkUsqbEbgWDECv-pw.gif 720w, https://miro.medium.com/v2/resize:fit:750/1*pWJfmjkUsqbEbgWDECv-pw.gif 750w, https://miro.medium.com/v2/resize:fit:786/1*pWJfmjkUsqbEbgWDECv-pw.gif 786w, https://miro.medium.com/v2/resize:fit:828/1*pWJfmjkUsqbEbgWDECv-pw.gif 828w, https://miro.medium.com/v2/resize:fit:1100/1*pWJfmjkUsqbEbgWDECv-pw.gif 1100w, https://miro.medium.com/v2/resize:fit:994/1*pWJfmjkUsqbEbgWDECv-pw.gif 994w" sizes="(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 497px"/><img alt="" class="bh mq np c" width="497" height="295" loading="lazy" role="presentation"/></picture></div><figcaption class="pr ff ps po pp pt pu bf b bg z du">GlamAR Virtual Try On</figcaption></figure><h1 id="f73c" class="om on gu bf oo op oq hv or os ot hy ou ov ow ox oy oz pa pb pc pd pe pf pg ph bk">Goals to Accomplish</h1><p id="71b4" class="pw-post-body-paragraph nq nr gu ns b ht pi nu nv hw pj nx ny nz pk ob oc od pl of og oh pm oj ok ol gn bk">We listed down the developments we would need to make to develop GlamAR:</p><ul class=""><li id="8959" class="nq nr gu ns b ht nt nu nv hw nw nx ny nz oa ob oc od oe of og oh oi oj ok ol pv pw px bk">ML model to detect accurate facial landmark points in real-time.</li><li id="2984" class="nq nr gu ns b ht py nu nv hw pz nx ny nz qa ob oc od qb of og oh qc oj ok ol pv pw px bk">Technique to augment makeup.</li><li id="352d" class="nq nr gu ns b ht py nu nv hw pz nx ny nz qa ob oc od qb of og oh qc oj ok ol pv pw px bk">Stabilize and interpolate landmark points.</li><li id="f8a5" class="nq nr gu ns b ht py nu nv hw pz nx ny nz qa ob oc od qb of og oh qc oj ok ol pv pw px bk">Attain the average Frames Per Second or FPS, without glitch and lag.</li></ul><h1 id="d6f3" class="om on gu bf oo op oq hv or os ot hy ou ov ow ox oy oz pa pb pc pd pe pf pg ph bk"><strong class="al">Working Blocks</strong></h1><p id="ae4d" class="pw-post-body-paragraph nq nr gu ns b ht pi nu nv hw pj nx ny nz pk ob oc od pl of og oh pm oj ok ol gn bk">GlamAR includes different blocks, similar to the Lego blocks that come together. These blocks are diverse based on reusability, performance, connectivity and platform (either Android, iOS or Desktop).</p><figure class="nk nl nm nn no nj po pp paragraph-image"><div role="button" tabindex="0" class="qe qf fj qg bh qh"><div class="po pp qd"><picture><source srcSet="https://miro.medium.com/v2/resize:fit:640/format:webp/0*SAVUwUc8rYsLS-ji 640w, https://miro.medium.com/v2/resize:fit:720/format:webp/0*SAVUwUc8rYsLS-ji 720w, https://miro.medium.com/v2/resize:fit:750/format:webp/0*SAVUwUc8rYsLS-ji 750w, https://miro.medium.com/v2/resize:fit:786/format:webp/0*SAVUwUc8rYsLS-ji 786w, https://miro.medium.com/v2/resize:fit:828/format:webp/0*SAVUwUc8rYsLS-ji 828w, https://miro.medium.com/v2/resize:fit:1100/format:webp/0*SAVUwUc8rYsLS-ji 1100w, https://miro.medium.com/v2/resize:fit:1400/format:webp/0*SAVUwUc8rYsLS-ji 1400w" sizes="(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 700px" type="image/webp"/><source data-testid="og" srcSet="https://miro.medium.com/v2/resize:fit:640/0*SAVUwUc8rYsLS-ji 640w, https://miro.medium.com/v2/resize:fit:720/0*SAVUwUc8rYsLS-ji 720w, https://miro.medium.com/v2/resize:fit:750/0*SAVUwUc8rYsLS-ji 750w, https://miro.medium.com/v2/resize:fit:786/0*SAVUwUc8rYsLS-ji 786w, https://miro.medium.com/v2/resize:fit:828/0*SAVUwUc8rYsLS-ji 828w, https://miro.medium.com/v2/resize:fit:1100/0*SAVUwUc8rYsLS-ji 1100w, https://miro.medium.com/v2/resize:fit:1400/0*SAVUwUc8rYsLS-ji 1400w" sizes="(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 700px"/><img alt="" class="bh mq np c" width="700" height="467" loading="lazy" role="presentation"/></picture></div></div><figcaption class="pr ff ps po pp pt pu bf b bg z du">ML,C++,Android/Web/IOS,Backend</figcaption></figure><p id="5859" class="pw-post-body-paragraph nq nr gu ns b ht nt nu nv hw nw nx ny nz oa ob oc od oe of og oh oi oj ok ol gn bk">We can distinguish these blocks into :</p><ul class=""><li id="f47e" class="nq nr gu ns b ht nt nu nv hw nw nx ny nz oa ob oc od oe of og oh oi oj ok ol pv pw px bk"><strong class="ns gv">Front End:</strong> Android, Web and iOS</li><li id="3015" class="nq nr gu ns b ht py nu nv hw pz nx ny nz qa ob oc od qb of og oh qc oj ok ol pv pw px bk"><strong class="ns gv">Machine Learning: </strong>Segmentation, landmark and Style prediction Model</li><li id="a7e2" class="nq nr gu ns b ht py nu nv hw pz nx ny nz qa ob oc od qb of og oh qc oj ok ol pv pw px bk"><strong class="ns gv">C++: </strong>Reusable code</li><li id="69d2" class="nq nr gu ns b ht py nu nv hw pz nx ny nz qa ob oc od qb of og oh qc oj ok ol pv pw px bk"><strong class="ns gv">Back End: </strong>Backbone to GlamAR</li></ul><figure class="nk nl nm nn no nj po pp paragraph-image"><div role="button" tabindex="0" class="qe qf fj qg bh qh"><div class="po pp qi"><picture><source srcSet="https://miro.medium.com/v2/resize:fit:640/format:webp/1*IqTWTqtx9XjWQxcjDJMgNg.jpeg 640w, https://miro.medium.com/v2/resize:fit:720/format:webp/1*IqTWTqtx9XjWQxcjDJMgNg.jpeg 720w, https://miro.medium.com/v2/resize:fit:750/format:webp/1*IqTWTqtx9XjWQxcjDJMgNg.jpeg 750w, https://miro.medium.com/v2/resize:fit:786/format:webp/1*IqTWTqtx9XjWQxcjDJMgNg.jpeg 786w, https://miro.medium.com/v2/resize:fit:828/format:webp/1*IqTWTqtx9XjWQxcjDJMgNg.jpeg 828w, https://miro.medium.com/v2/resize:fit:1100/format:webp/1*IqTWTqtx9XjWQxcjDJMgNg.jpeg 1100w, https://miro.medium.com/v2/resize:fit:1400/format:webp/1*IqTWTqtx9XjWQxcjDJMgNg.jpeg 1400w" sizes="(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 700px" type="image/webp"/><source data-testid="og" srcSet="https://miro.medium.com/v2/resize:fit:640/1*IqTWTqtx9XjWQxcjDJMgNg.jpeg 640w, https://miro.medium.com/v2/resize:fit:720/1*IqTWTqtx9XjWQxcjDJMgNg.jpeg 720w, https://miro.medium.com/v2/resize:fit:750/1*IqTWTqtx9XjWQxcjDJMgNg.jpeg 750w, https://miro.medium.com/v2/resize:fit:786/1*IqTWTqtx9XjWQxcjDJMgNg.jpeg 786w, https://miro.medium.com/v2/resize:fit:828/1*IqTWTqtx9XjWQxcjDJMgNg.jpeg 828w, https://miro.medium.com/v2/resize:fit:1100/1*IqTWTqtx9XjWQxcjDJMgNg.jpeg 1100w, https://miro.medium.com/v2/resize:fit:1400/1*IqTWTqtx9XjWQxcjDJMgNg.jpeg 1400w" sizes="(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 700px"/><img alt="" class="bh mq np c" width="700" height="378" loading="lazy" role="presentation"/></picture></div></div><figcaption class="pr ff ps po pp pt pu bf b bg z du">Block Interconnectivity</figcaption></figure><p id="bf92" class="pw-post-body-paragraph nq nr gu ns b ht nt nu nv hw nw nx ny nz oa ob oc od oe of og oh oi oj ok ol gn bk">These blocks have specific functionalities and are connected to make up the GlamAR product. The frontend verifies the authentication and then fetches the configuration and weight files from the backend. The input image is pre-processed and parsed to the Machine Learning model, and the model output is sent to C++ block as an input. The image is then augmented and is sent back to the frontend to display as an augmented image. This loop continues to provide a seamless real-time virtual try-on experience.</p><figure class="nk nl nm nn no nj po pp paragraph-image"><div role="button" tabindex="0" class="qe qf fj qg bh qh"><div class="po pp qj"><picture><source srcSet="https://miro.medium.com/v2/resize:fit:640/format:webp/1*O1oqKjkphCdUIT8gmVNqyw.jpeg 640w, https://miro.medium.com/v2/resize:fit:720/format:webp/1*O1oqKjkphCdUIT8gmVNqyw.jpeg 720w, https://miro.medium.com/v2/resize:fit:750/format:webp/1*O1oqKjkphCdUIT8gmVNqyw.jpeg 750w, https://miro.medium.com/v2/resize:fit:786/format:webp/1*O1oqKjkphCdUIT8gmVNqyw.jpeg 786w, https://miro.medium.com/v2/resize:fit:828/format:webp/1*O1oqKjkphCdUIT8gmVNqyw.jpeg 828w, https://miro.medium.com/v2/resize:fit:1100/format:webp/1*O1oqKjkphCdUIT8gmVNqyw.jpeg 1100w, https://miro.medium.com/v2/resize:fit:1400/format:webp/1*O1oqKjkphCdUIT8gmVNqyw.jpeg 1400w" sizes="(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 700px" type="image/webp"/><source data-testid="og" srcSet="https://miro.medium.com/v2/resize:fit:640/1*O1oqKjkphCdUIT8gmVNqyw.jpeg 640w, https://miro.medium.com/v2/resize:fit:720/1*O1oqKjkphCdUIT8gmVNqyw.jpeg 720w, https://miro.medium.com/v2/resize:fit:750/1*O1oqKjkphCdUIT8gmVNqyw.jpeg 750w, https://miro.medium.com/v2/resize:fit:786/1*O1oqKjkphCdUIT8gmVNqyw.jpeg 786w, https://miro.medium.com/v2/resize:fit:828/1*O1oqKjkphCdUIT8gmVNqyw.jpeg 828w, https://miro.medium.com/v2/resize:fit:1100/1*O1oqKjkphCdUIT8gmVNqyw.jpeg 1100w, https://miro.medium.com/v2/resize:fit:1400/1*O1oqKjkphCdUIT8gmVNqyw.jpeg 1400w" sizes="(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 700px"/><img alt="" class="bh mq np c" width="700" height="346" loading="lazy" role="presentation"/></picture></div></div><figcaption class="pr ff ps po pp pt pu bf b bg z du">Workflow of GlamAR</figcaption></figure><h2 id="f5ad" class="qk on gu bf oo ql qm dy or qn qo ea ou nz qp qq qr od qs qt qu oh qv qw qx qy bk">Front End</h2><p id="a4f4" class="pw-post-body-paragraph nq nr gu ns b ht pi nu nv hw pj nx ny nz pk ob oc od pl of og oh pm oj ok ol gn bk">The front end consists of 3 domains: Android, Web and iOS. These include the rich UI, camera instance and other functional codes.<br/>We have used Java and Kotlin for Android UI. Most of the image processing code is written in C++ making it memory-optimized, efficient and reusable. We have used NDK(C++) and web assembly to compile the code in Android and Desktop, respectively.</p><h2 id="e082" class="qk on gu bf oo ql qm dy or qn qo ea ou nz qp qq qr od qs qt qu oh qv qw qx qy bk">Android</h2><p id="5609" class="pw-post-body-paragraph nq nr gu ns b ht pi nu nv hw pj nx ny nz pk ob oc od pl of og oh pm oj ok ol gn bk">We started with the vision to have a scalable, precise and self-serving solution for the Android platform, to be offered as an SDK. To achieve our vision, we divided our code into three separate modules: Face, Hair and Nail.</p><p id="9fd3" class="pw-post-body-paragraph nq nr gu ns b ht nt nu nv hw nw nx ny nz oa ob oc od oe of og oh oi oj ok ol gn bk">The division made the code more organized, and scalable for future updates to other try-on options such as Foundation, Jewellery etc. Separating the features in modules also helps us cater to the diverse needs of our clients in a more precise manner, for example, if a brand only wishes to introduce Facial makeup, they do not need to make space for the Hair module.</p><p id="ae3b" class="pw-post-body-paragraph nq nr gu ns b ht nt nu nv hw nw nx ny nz oa ob oc od oe of og oh oi oj ok ol gn bk">All processing is done on the client-side, so we ensure that our processing logic remains out of sight and obscured. To accomplish this, most of the internal code and algorithm is written in native android C++.</p><p id="d19a" class="pw-post-body-paragraph nq nr gu ns b ht nt nu nv hw nw nx ny nz oa ob oc od oe of og oh oi oj ok ol gn bk">Another important goal was to keep the SDK as small as possible, hence we rebuilt the C++ libraries from source(for instance in OpenCV) with only a select few modules so that the whole library is not required.</p><p id="beac" class="pw-post-body-paragraph nq nr gu ns b ht nt nu nv hw nw nx ny nz oa ob oc od oe of og oh oi oj ok ol gn bk"><strong class="ns gv">Issues from the Technology Standpoint</strong></p><ul class=""><li id="ed6a" class="nq nr gu ns b ht nt nu nv hw nw nx ny nz oa ob oc od oe of og oh oi oj ok ol pv pw px bk"><strong class="ns gv">Common Resolution:</strong> The camera resolution depends on the device hardware. Low resolutions can hamper the output performance. To tackle this, we pre-processed each frame to resize it to a particular range.</li><li id="c2d5" class="nq nr gu ns b ht py nu nv hw pz nx ny nz qa ob oc od qb of og oh qc oj ok ol pv pw px bk"><strong class="ns gv">Lag and Glitch issue: </strong>To have a seamless virtual try-on experience, a frame rate of 10 and above is crucial. To achieve parallel processing, we run the process on two threads that work synchronously so that there is no glitch or lag. By doing so, we were able to achieve an average of 12–25 FPS, providing real-time try-on experience.</li></ul><h2 id="bbaa" class="qk on gu bf oo ql qm dy or qn qo ea ou nz qp qq qr od qs qt qu oh qv qw qx qy bk">Machine Learning Model</h2><p id="0c06" class="pw-post-body-paragraph nq nr gu ns b ht pi nu nv hw pj nx ny nz pk ob oc od pl of og oh pm oj ok ol gn bk">Initially, we were using <a class="af pn" href="https://developers.google.com/ml-kit" rel="noopener ugc nofollow" target="_blank">MLKit</a> by Google, to detect the landmark points of the face. We then trained the custom landmark detection model on a dataset of million facial images that have been collected, manually annotated, and combined with the ones that are publicly available. The initial step for training an ML model is to have a rich and error-free data set, and we trained our custom models from scratch to meet our requirements.</p><p id="ae79" class="pw-post-body-paragraph nq nr gu ns b ht nt nu nv hw nw nx ny nz oa ob oc od oe of og oh oi oj ok ol gn bk"><strong class="ns gv">Custom Model</strong></p><ul class=""><li id="37dc" class="nq nr gu ns b ht nt nu nv hw nw nx ny nz oa ob oc od oe of og oh oi oj ok ol pv pw px bk"><strong class="ns gv">Makeup Prediction Model</strong>: We detect the skin and hair region using segmentation and detect the dominant colour for the same. Eye colour plays an important role in predicting eye makeup. Based on the colour attributes, we predict makeup from our colour mapping panel for different occasions, like party, casual, office etc.</li></ul><figure class="nk nl nm nn no nj po pp paragraph-image"><div class="po pp qz"><picture><source srcSet="https://miro.medium.com/v2/resize:fit:640/format:webp/1*fhRuJsyM6dY0BGkdjhiftQ.png 640w, https://miro.medium.com/v2/resize:fit:720/format:webp/1*fhRuJsyM6dY0BGkdjhiftQ.png 720w, https://miro.medium.com/v2/resize:fit:750/format:webp/1*fhRuJsyM6dY0BGkdjhiftQ.png 750w, https://miro.medium.com/v2/resize:fit:786/format:webp/1*fhRuJsyM6dY0BGkdjhiftQ.png 786w, https://miro.medium.com/v2/resize:fit:828/format:webp/1*fhRuJsyM6dY0BGkdjhiftQ.png 828w, https://miro.medium.com/v2/resize:fit:1100/format:webp/1*fhRuJsyM6dY0BGkdjhiftQ.png 1100w, https://miro.medium.com/v2/resize:fit:818/format:webp/1*fhRuJsyM6dY0BGkdjhiftQ.png 818w" sizes="(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 409px" type="image/webp"/><source data-testid="og" srcSet="https://miro.medium.com/v2/resize:fit:640/1*fhRuJsyM6dY0BGkdjhiftQ.png 640w, https://miro.medium.com/v2/resize:fit:720/1*fhRuJsyM6dY0BGkdjhiftQ.png 720w, https://miro.medium.com/v2/resize:fit:750/1*fhRuJsyM6dY0BGkdjhiftQ.png 750w, https://miro.medium.com/v2/resize:fit:786/1*fhRuJsyM6dY0BGkdjhiftQ.png 786w, https://miro.medium.com/v2/resize:fit:828/1*fhRuJsyM6dY0BGkdjhiftQ.png 828w, https://miro.medium.com/v2/resize:fit:1100/1*fhRuJsyM6dY0BGkdjhiftQ.png 1100w, https://miro.medium.com/v2/resize:fit:818/1*fhRuJsyM6dY0BGkdjhiftQ.png 818w" sizes="(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 409px"/><img alt="" class="bh mq np c" width="409" height="330" loading="lazy" role="presentation"/></picture></div><figcaption class="pr ff ps po pp pt pu bf b bg z du">Dominant skin colour detection</figcaption></figure><ul class=""><li id="1eee" class="nq nr gu ns b ht nt nu nv hw nw nx ny nz oa ob oc od oe of og oh oi oj ok ol pv pw px bk"><strong class="ns gv">Nail Segmentation</strong>: We created a custom model by tweaking Mobilnet v2 layers for the encoder. Decoder part has few variants using upsampling block with either Transpose Convolution or Upsample2D+Convolution and ensuring proper skip connection between encoder and decoder. To prevent overfitting and help our network to learn robust features, we applied dropout regularization.</li></ul><figure class="nk nl nm nn no nj po pp paragraph-image"><div class="po pp ra"><picture><source srcSet="https://miro.medium.com/v2/resize:fit:640/format:webp/1*0TXzfZxwH9YYJkJKIfR15Q.gif 640w, https://miro.medium.com/v2/resize:fit:720/format:webp/1*0TXzfZxwH9YYJkJKIfR15Q.gif 720w, https://miro.medium.com/v2/resize:fit:750/format:webp/1*0TXzfZxwH9YYJkJKIfR15Q.gif 750w, https://miro.medium.com/v2/resize:fit:786/format:webp/1*0TXzfZxwH9YYJkJKIfR15Q.gif 786w, https://miro.medium.com/v2/resize:fit:828/format:webp/1*0TXzfZxwH9YYJkJKIfR15Q.gif 828w, https://miro.medium.com/v2/resize:fit:1100/format:webp/1*0TXzfZxwH9YYJkJKIfR15Q.gif 1100w, https://miro.medium.com/v2/resize:fit:400/format:webp/1*0TXzfZxwH9YYJkJKIfR15Q.gif 400w" sizes="(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 200px" type="image/webp"/><source data-testid="og" srcSet="https://miro.medium.com/v2/resize:fit:640/1*0TXzfZxwH9YYJkJKIfR15Q.gif 640w, https://miro.medium.com/v2/resize:fit:720/1*0TXzfZxwH9YYJkJKIfR15Q.gif 720w, https://miro.medium.com/v2/resize:fit:750/1*0TXzfZxwH9YYJkJKIfR15Q.gif 750w, https://miro.medium.com/v2/resize:fit:786/1*0TXzfZxwH9YYJkJKIfR15Q.gif 786w, https://miro.medium.com/v2/resize:fit:828/1*0TXzfZxwH9YYJkJKIfR15Q.gif 828w, https://miro.medium.com/v2/resize:fit:1100/1*0TXzfZxwH9YYJkJKIfR15Q.gif 1100w, https://miro.medium.com/v2/resize:fit:400/1*0TXzfZxwH9YYJkJKIfR15Q.gif 400w" sizes="(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 200px"/><img alt="" class="bh mq np c" width="200" height="430" loading="lazy" role="presentation"/></picture></div><figcaption class="pr ff ps po pp pt pu bf b bg z du">GlamAR Nail Art Try-On</figcaption></figure><ul class=""><li id="7d62" class="nq nr gu ns b ht nt nu nv hw nw nx ny nz oa ob oc od oe of og oh oi oj ok ol pv pw px bk"><strong class="ns gv">Hair Segmentation Model: MediaPipe</strong> is a cross-platform framework for building multimodal applied machine learning pipelines. We used MediaPipe to achieve real-time image processing and get the most out of the device hardware.</li></ul><p id="2a00" class="pw-post-body-paragraph nq nr gu ns b ht nt nu nv hw nw nx ny nz oa ob oc od oe of og oh oi oj ok ol gn bk"><strong class="ns gv">Few things to know about MediaPipe:</strong></p><ul class=""><li id="1c1a" class="nq nr gu ns b ht nt nu nv hw nw nx ny nz oa ob oc od oe of og oh oi oj ok ol pv pw px bk">Delegates CPU heavy computation like image processing and model inference to GPU.</li><li id="94fa" class="nq nr gu ns b ht py nu nv hw pz nx ny nz qa ob oc od qb of og oh qc oj ok ol pv pw px bk">Uses threads for parallel computing and tracking of objects to gain FPS.</li><li id="834d" class="nq nr gu ns b ht py nu nv hw pz nx ny nz qa ob oc od qb of og oh qc oj ok ol pv pw px bk">Has inbuilt support for Tflite and saves time in deploying models.</li></ul><p id="c890" class="pw-post-body-paragraph nq nr gu ns b ht nt nu nv hw nw nx ny nz oa ob oc od oe of og oh oi oj ok ol gn bk"><a class="af pn" href="https://medium.com/@swati-modi" rel="noopener">Swati Modi</a> helped us with the hair colour try-on feature in quick time. Check out her blog explaining how she used <a class="af pn" rel="noopener ugc nofollow" target="_blank" href="/mediapipe-with-custom-tflite-model-d3ea0427b3c1">MediaPipe</a> for this feature.</p><h2 id="d200" class="qk on gu bf oo ql qm dy or qn qo ea ou nz qp qq qr od qs qt qu oh qv qw qx qy bk">C++(Rendering and Algorithm)</h2><p id="61ef" class="pw-post-body-paragraph nq nr gu ns b ht pi nu nv hw pj nx ny nz pk ob oc od pl of og oh pm oj ok ol gn bk">We used C++ for compact memory critical tasks like image transformation, landmark stabilization, mesh creation or the rendering of makeup. We combined C++ with OpenCV and OpenGL to render the image efficiently.</p><figure class="nk nl nm nn no nj po pp paragraph-image"><div class="po pp ra"><picture><source srcSet="https://miro.medium.com/v2/resize:fit:640/format:webp/1*z1ZVAMM436lmmUqsntCGdg.gif 640w, https://miro.medium.com/v2/resize:fit:720/format:webp/1*z1ZVAMM436lmmUqsntCGdg.gif 720w, https://miro.medium.com/v2/resize:fit:750/format:webp/1*z1ZVAMM436lmmUqsntCGdg.gif 750w, https://miro.medium.com/v2/resize:fit:786/format:webp/1*z1ZVAMM436lmmUqsntCGdg.gif 786w, https://miro.medium.com/v2/resize:fit:828/format:webp/1*z1ZVAMM436lmmUqsntCGdg.gif 828w, https://miro.medium.com/v2/resize:fit:1100/format:webp/1*z1ZVAMM436lmmUqsntCGdg.gif 1100w, https://miro.medium.com/v2/resize:fit:400/format:webp/1*z1ZVAMM436lmmUqsntCGdg.gif 400w" sizes="(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 200px" type="image/webp"/><source data-testid="og" srcSet="https://miro.medium.com/v2/resize:fit:640/1*z1ZVAMM436lmmUqsntCGdg.gif 640w, https://miro.medium.com/v2/resize:fit:720/1*z1ZVAMM436lmmUqsntCGdg.gif 720w, https://miro.medium.com/v2/resize:fit:750/1*z1ZVAMM436lmmUqsntCGdg.gif 750w, https://miro.medium.com/v2/resize:fit:786/1*z1ZVAMM436lmmUqsntCGdg.gif 786w, https://miro.medium.com/v2/resize:fit:828/1*z1ZVAMM436lmmUqsntCGdg.gif 828w, https://miro.medium.com/v2/resize:fit:1100/1*z1ZVAMM436lmmUqsntCGdg.gif 1100w, https://miro.medium.com/v2/resize:fit:400/1*z1ZVAMM436lmmUqsntCGdg.gif 400w" sizes="(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 200px"/><img alt="" class="bh mq np c" width="200" height="432" loading="lazy" role="presentation"/></picture></div><figcaption class="pr ff ps po pp pt pu bf b bg z du">GlamAR Makeup Try-On</figcaption></figure><p id="904c" class="pw-post-body-paragraph nq nr gu ns b ht nt nu nv hw nw nx ny nz oa ob oc od oe of og oh oi oj ok ol gn bk"><strong class="ns gv">Our C++ Algorithms :</strong></p><ul class=""><li id="265f" class="nq nr gu ns b ht nt nu nv hw nw nx ny nz oa ob oc od oe of og oh oi oj ok ol pv pw px bk"><strong class="ns gv">Landmark Stabilization:</strong> The points predicted by the model were not stable. To manage this, we wrote an algorithm using OpenCV to stabilize, taking the average threshold approach.</li><li id="48a0" class="nq nr gu ns b ht py nu nv hw pz nx ny nz qa ob oc od qb of og oh qc oj ok ol pv pw px bk"><strong class="ns gv">Noise Removal: </strong>The raw image has noise, brightness and lighting issues, our algorithm for the same removes the noise, enhances the brightness and retouches the face accordingly.</li><li id="53b6" class="nq nr gu ns b ht py nu nv hw pz nx ny nz qa ob oc od qb of og oh qc oj ok ol pv pw px bk"><strong class="ns gv">Rendering:</strong> Before we render the makeup, we interpolate some new points, taking the average, mean and tangential approach, such that these points cover the edge case. Once we have them, we generate the mesh and render makeup.</li><li id="25a3" class="nq nr gu ns b ht py nu nv hw pz nx ny nz qa ob oc od qb of og oh qc oj ok ol pv pw px bk"><strong class="ns gv">Asset Creation: </strong>We designed an algorithm to create the asset at runtime and to authenticate the asset.</li></ul><p id="b339" class="pw-post-body-paragraph nq nr gu ns b ht nt nu nv hw nw nx ny nz oa ob oc od oe of og oh oi oj ok ol gn bk">Curl package is integrated with C++ code to add network call support, to make the C++ code self-serving, reusable and platform-independent.</p><h2 id="0d18" class="qk on gu bf oo ql qm dy or qn qo ea ou nz qp qq qr od qs qt qu oh qv qw qx qy bk">Back End</h2><figure class="nk nl nm nn no nj po pp paragraph-image"><div class="po pp rb"><picture><source srcSet="https://miro.medium.com/v2/resize:fit:640/format:webp/1*u8BcmUfghxy-kUeV2h-UfQ.gif 640w, https://miro.medium.com/v2/resize:fit:720/format:webp/1*u8BcmUfghxy-kUeV2h-UfQ.gif 720w, https://miro.medium.com/v2/resize:fit:750/format:webp/1*u8BcmUfghxy-kUeV2h-UfQ.gif 750w, https://miro.medium.com/v2/resize:fit:786/format:webp/1*u8BcmUfghxy-kUeV2h-UfQ.gif 786w, https://miro.medium.com/v2/resize:fit:828/format:webp/1*u8BcmUfghxy-kUeV2h-UfQ.gif 828w, https://miro.medium.com/v2/resize:fit:1100/format:webp/1*u8BcmUfghxy-kUeV2h-UfQ.gif 1100w, https://miro.medium.com/v2/resize:fit:1200/format:webp/1*u8BcmUfghxy-kUeV2h-UfQ.gif 1200w" sizes="(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 600px" type="image/webp"/><source data-testid="og" srcSet="https://miro.medium.com/v2/resize:fit:640/1*u8BcmUfghxy-kUeV2h-UfQ.gif 640w, https://miro.medium.com/v2/resize:fit:720/1*u8BcmUfghxy-kUeV2h-UfQ.gif 720w, https://miro.medium.com/v2/resize:fit:750/1*u8BcmUfghxy-kUeV2h-UfQ.gif 750w, https://miro.medium.com/v2/resize:fit:786/1*u8BcmUfghxy-kUeV2h-UfQ.gif 786w, https://miro.medium.com/v2/resize:fit:828/1*u8BcmUfghxy-kUeV2h-UfQ.gif 828w, https://miro.medium.com/v2/resize:fit:1100/1*u8BcmUfghxy-kUeV2h-UfQ.gif 1100w, https://miro.medium.com/v2/resize:fit:1200/1*u8BcmUfghxy-kUeV2h-UfQ.gif 1200w" sizes="(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 600px"/><img alt="" class="bh mq np c" width="600" height="337" loading="lazy" role="presentation"/></picture></div><figcaption class="pr ff ps po pp pt pu bf b bg z du">Admin Panel of GlamAR</figcaption></figure><p id="bbbb" class="pw-post-body-paragraph nq nr gu ns b ht nt nu nv hw nw nx ny nz oa ob oc od oe of og oh oi oj ok ol gn bk">GlamAR’s robust backend is what drives the Admin Panel and the SDK. To assure a quick response, generally under 50ms in the SDK, we have heavily used asynchronous frameworks. This framework includes FastAPI as the web framework, MySQL as the database, and Tortoise-ORM in conjunction with Aerich as the ORM layer.</p><p id="fe9d" class="pw-post-body-paragraph nq nr gu ns b ht nt nu nv hw nw nx ny nz oa ob oc od oe of og oh oi oj ok ol gn bk">One of the key features that we developed in-house is the Dynamic Forms. Now adding or editing new product categories and their various configuration parameters doesn’t require writing a single line of code on the front end. To handle high volumes of traffic, we have deployed our services on Kubernetes, that scales up proportionally to the incoming server load.</p><figure class="nk nl nm nn no nj po pp paragraph-image"><div role="button" tabindex="0" class="qe qf fj qg bh qh"><div class="po pp rc"><picture><source srcSet="https://miro.medium.com/v2/resize:fit:640/format:webp/1*7rBl9rh1dQ8J2x2dKLIUbA.png 640w, https://miro.medium.com/v2/resize:fit:720/format:webp/1*7rBl9rh1dQ8J2x2dKLIUbA.png 720w, https://miro.medium.com/v2/resize:fit:750/format:webp/1*7rBl9rh1dQ8J2x2dKLIUbA.png 750w, https://miro.medium.com/v2/resize:fit:786/format:webp/1*7rBl9rh1dQ8J2x2dKLIUbA.png 786w, https://miro.medium.com/v2/resize:fit:828/format:webp/1*7rBl9rh1dQ8J2x2dKLIUbA.png 828w, https://miro.medium.com/v2/resize:fit:1100/format:webp/1*7rBl9rh1dQ8J2x2dKLIUbA.png 1100w, https://miro.medium.com/v2/resize:fit:1400/format:webp/1*7rBl9rh1dQ8J2x2dKLIUbA.png 1400w" sizes="(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 700px" type="image/webp"/><source data-testid="og" srcSet="https://miro.medium.com/v2/resize:fit:640/1*7rBl9rh1dQ8J2x2dKLIUbA.png 640w, https://miro.medium.com/v2/resize:fit:720/1*7rBl9rh1dQ8J2x2dKLIUbA.png 720w, https://miro.medium.com/v2/resize:fit:750/1*7rBl9rh1dQ8J2x2dKLIUbA.png 750w, https://miro.medium.com/v2/resize:fit:786/1*7rBl9rh1dQ8J2x2dKLIUbA.png 786w, https://miro.medium.com/v2/resize:fit:828/1*7rBl9rh1dQ8J2x2dKLIUbA.png 828w, https://miro.medium.com/v2/resize:fit:1100/1*7rBl9rh1dQ8J2x2dKLIUbA.png 1100w, https://miro.medium.com/v2/resize:fit:1400/1*7rBl9rh1dQ8J2x2dKLIUbA.png 1400w" sizes="(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 700px"/><img alt="" class="bh mq np c" width="700" height="397" loading="lazy" role="presentation"/></picture></div></div><figcaption class="pr ff ps po pp pt pu bf b bg z du">GlamAR Try-On on web</figcaption></figure><h1 id="3b2a" class="om on gu bf oo op oq hv or os ot hy ou ov ow ox oy oz pa pb pc pd pe pf pg ph bk">What about the Business Perspective?</h1><p id="0fcc" class="pw-post-body-paragraph nq nr gu ns b ht pi nu nv hw pj nx ny nz pk ob oc od pl of og oh pm oj ok ol gn bk"><em class="rd">GlamAR is an Augmented Reality product, but how will it help brands, what’s the selling point, and is it really helpful?</em></p><p id="4071" class="pw-post-body-paragraph nq nr gu ns b ht nt nu nv hw nw nx ny nz oa ob oc od oe of og oh oi oj ok ol gn bk">Well yes! Brands need to offer more ways to shop that are safe and contactless. With GlamAR you can extend your unique product and in-store experience that shopper’s anticipate from your brand, but virtually.</p><p id="7793" class="pw-post-body-paragraph nq nr gu ns b ht nt nu nv hw nw nx ny nz oa ob oc od oe of og oh oi oj ok ol gn bk">To read more about the business outlook, take a look <a class="af pn" rel="noopener ugc nofollow" target="_blank" href="/business-perspective-of-glamar-525de4f6ba7d">here</a>.</p><h1 id="0333" class="om on gu bf oo op oq hv or os ot hy ou ov ow ox oy oz pa pb pc pd pe pf pg ph bk">Conclusion</h1><p id="ed80" class="pw-post-body-paragraph nq nr gu ns b ht pi nu nv hw pj nx ny nz pk ob oc od pl of og oh pm oj ok ol gn bk">In this blog, we take you through the technical details of GlamAR.</p><p id="f301" class="pw-post-body-paragraph nq nr gu ns b ht nt nu nv hw nw nx ny nz oa ob oc od oe of og oh oi oj ok ol gn bk">We have built GlamAR in a way that it’s easy to integrate with a mobile or web store, simple to use, and a complete self-serve platform where you can add or manage products.</p><p id="1ad1" class="pw-post-body-paragraph nq nr gu ns b ht nt nu nv hw nw nx ny nz oa ob oc od oe of og oh oi oj ok ol gn bk">But we do not stop here, it’s just the beginning. We are now looking to add Jewellery and Apparel try-on, so hang in there to experience the next revolution.</p><h2 id="d567" class="qk on gu bf oo ql qm dy or qn qo ea ou nz qp qq qr od qs qt qu oh qv qw qx qy bk">Get started with <a class="af pn" href="https://glamar.fynd.com/" rel="noopener ugc nofollow" target="_blank">GlamAR</a>! It is free with no time limit on Starter Plan.</h2><p id="321f" class="pw-post-body-paragraph nq nr gu ns b ht pi nu nv hw pj nx ny nz pk ob oc od pl of og oh pm oj ok ol gn bk">For any questions, refer to our <a class="af pn" href="https://admin.glamar.fynd.com/faqs" rel="noopener ugc nofollow" target="_blank">FAQs</a>. If you need more information, write to us at <a class="af pn" href="mailto:glamar@fynd.com" rel="noopener ugc nofollow" target="_blank"><strong class="ns gv">glamar@fynd.com</strong></a><strong class="ns gv">.</strong></p></div></div></div><div class="ab cb re rf rg rh" role="separator"><span class="ri by bm rj rk rl"></span><span class="ri by bm rj rk rl"></span><span class="ri by bm rj rk"></span></div><div class="gn go gp gq gr"><div class="ab cb"><div class="ci bh fz ga gb gc"><p id="455d" class="pw-post-body-paragraph nq nr gu ns b ht nt nu nv hw nw nx ny nz oa ob oc od oe of og oh oi oj ok ol gn bk"><em class="rd">GlamAR as a product would have not been possible without the developers and their efforts. </em><strong class="ns gv"><em class="rd">Kudos to </em></strong><a class="af pn" href="https://blog.gofynd.com/@gauravgola" rel="noopener ugc nofollow" target="_blank"><em class="rd">Gaurav Gola</em></a><em class="rd">, </em><a class="af pn" href="https://medium.com/@swati-modi" rel="noopener"><em class="rd">Swati Modi</em></a><em class="rd">, </em><a class="af pn" href="https://medium.com/@ranubhav" rel="noopener"><em class="rd">Anubhav Roy</em></a><em class="rd">, </em><a class="af pn" href="https://medium.com/@neerajshukla1911" rel="noopener"><em class="rd">Neeraj Shukla</em></a><em class="rd">,</em><a class="af pn" href="https://medium.com/@tusharmoraye" rel="noopener"><em class="rd">Tushar Moraye</em></a><em class="rd">, </em><a class="af pn" href="https://medium.com/@shubham.dalvi97" rel="noopener"><em class="rd">Shubham Dalvi</em></a><em class="rd">, </em><a class="af pn" href="https://medium.com/@akash.chokshi24" rel="noopener"><em class="rd">Akash Chokshi</em></a><em class="rd">, </em><a class="af pn" href="https://medium.com/@mahesh.p.gudi" rel="noopener"><em class="rd">Mahesh Gudi</em></a><em class="rd">, </em><a class="af pn" href="https://medium.com/@mahakal001" rel="noopener"><em class="rd">Mohit Pilkhan</em></a><em class="rd">, </em><a class="af pn" href="https://medium.com/@shubhwicked" rel="noopener"><em class="rd">Shubham KamlaPuri</em></a><em class="rd">!</em></p><p id="5d28" class="pw-post-body-paragraph nq nr gu ns b ht nt nu nv hw nw nx ny nz oa ob oc od oe of og oh oi oj ok ol gn bk"><strong class="ns gv">If you are interested in AI or enjoy coding, designing and what not, check out our openings </strong><a class="af pn" href="https://angel.co/company/gofynd/jobs" rel="noopener ugc nofollow" target="_blank"><strong class="ns gv">here</strong></a><strong class="ns gv">.</strong></p></div></div></div><div class="ab cb re rf rg rh" role="separator"><span class="ri by bm rj rk rl"></span><span class="ri by bm rj rk rl"></span><span class="ri by bm rj rk"></span></div><div class="gn go gp gq gr"><div class="ab cb"><div class="ci bh fz ga gb gc"><h2 id="de14" class="qk on gu bf oo ql qm dy or qn qo ea ou nz qp qq qr od qs qt qu oh qv qw qx qy bk">Looking for more</h2><ol class=""><li id="446a" class="nq nr gu ns b ht pi nu nv hw pj nx ny nz pk ob oc od pl of og oh pm oj ok ol rm pw px bk"><a class="af pn" href="https://www.producthunt.com/posts/glamar" rel="noopener ugc nofollow" target="_blank">GlamAR</a> on Product Hunt.</li><li id="5f3d" class="nq nr gu ns b ht py nu nv hw pz nx ny nz qa ob oc od qb of og oh qc oj ok ol rm pw px bk"><a class="af pn" rel="noopener ugc nofollow" target="_blank" href="/glamar-how-we-built-a-real-time-try-on-app-f8719b2f47b">GlamAR — How we built a Real-time Try-on App</a> by <a class="af pn" href="https://medium.com/@neerajshukla1911" rel="noopener">Neerak Shukla</a></li><li id="28d9" class="nq nr gu ns b ht py nu nv hw pz nx ny nz qa ob oc od qb of og oh qc oj ok ol rm pw px bk"><a class="af pn" rel="noopener ugc nofollow" target="_blank" href="/glamar-ar-driven-virtual-tryon-solution-2a6c2588e59f">Launching GlamAR: AR-Driven Virtual Try-On Solution</a> by <a class="af pn" href="https://medium.com/u/ad8cce662919" rel="noopener">Kritika Singhania</a>.</li></ol><p 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The frontend verifies the authentication and then fetches the configuration and weight files from the backend. The input image is pre-processed and parsed to the Machine Learning model, and the model output is sent to C++ block as an input. The image is then augmented and is sent back to the frontend to display as an augmented image. 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Brands need to offer more ways to shop that are safe and contactless. 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