The Fastest Path to Object Detection on Tensorflow Lite
Ever thought it would be cool to make an Android app that fuses Augmented Reality and Artificial Intelligence to draw 3D objects on-screen that interact with particular recognized physical objects viewed on-camera? Well, here's something to help you get started with just that! Making conference talks can be a chicken-and-egg problem. Do you hope the projects you've already worked on are interesting enough to draw an audience, or do you go out on a limb, pitch a wild idea, and hope you can develop it between the close of the call for papers and the conference? Well, in this case, the work I did for DevFests in Chicago and Dallas yield a template for talks formulated by either approach. The most impressive part is that you can recreate for yourself the foundation I've laid out on GitHub by cloning the Tensorflow Git project, adding Sceneform, and editing (mostly removing) code. However, it wasn't such a walk in the park to produce. Here are the steps, edited do