different skin textures, facial expressions, and even pet plus individual. Start with a template, or design your Lens from scratch. Lens Studio is a full features software for Snapchat to get wildly creative. With a huge set of built-in features including custom shaders and advanced tracking technology, the possibilities are endless. The lambda_package folder contains the modified greengrassHelloWorld.py file, and the haarcascade_frontalface_alt.xml file. Lens Studio is a powerful application designed for artists and developers to build augmented reality experiences for hundreds of millions of Snapchatters. Since there is no pre-made models of facial expressions (we could find) we. For each face that is "smiling", we draw a blueish frame around the face, and for each neutral face we draw an orange frame around the discovered face. Our Deeplens project will detect faces in a frame and use a Convolutional.
#LENS STUDIO FACE EXPRESSIONS HOW TO#
The model we use is our created smile-net model which we run on each individual face that is detected. In this video, we will learn how to use Lens Studio's new 3.3 Face morph template to combine blenshapes with some coding to make our face elastic and respond to our movements If you have. However, our function uses the model optimizer on load and uses the OpenCV's Haar Cascade to detect faces first instead of the model.įor each face detected using the Haar cascade, we use our optimized smile-net model to determine if the cropped face area is smiling. Our lambda function to run inference is based off the "face-detection" example. Popular filters such as Baby, Bald, Anime, 3D Animated, and Poster Style are now available as a Custom Component. gender, facial expression (including angry, fear, neutral, sad, disgust. SnapML Face Effects We’ve introduced various Face Effects in the form of a Custom Component to let our creators quickly utilize face filters powered by SnapML. The outputted models can be seen in the models folder with the smile-net prefix. Building a Custom Face Mask Snapchat Lens with Fritz AI and Lens Studio. ItzJustSamu Snap Lens Network Member Lens Studio Team. With our 2 Rec files for training in validation, we can then train a modified AlexNet to make a Convolutional Neural Network (with the last 2 dense layers lightened to bring down model size) for training.Īfter 30 epochs and about an 80% accuracy rate, we can then output the model to S3 for use in our Deeplens project.Īll this work can be seen in the face-detection-model-creation notebook.
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