![]() ![]() It’s recommended to compress your textures prior to importing them on programs such as Lens Studio.This will allow Lens Studio to import the object with its textures directly -you’d otherwise have to re-assign the textures to their corresponding materials. fbx and save it in the same folder where the textures lives. Once your model is scaled to size, export it as a. You could re-use the feet mesh from the template here and simply scale them accordingly Note : If you want an effective occluder for your shoes, it’s worth creating one yourself. Left : just imported / Right : AR shoe scaled to template obj file on the iPad, then drag and drop it in Procreate 3D. Once uploaded from your computer, you can download you. There are different ways to transfer your model to your iPad. 2° Painting textures in Procreate 3D Importing the model Now that our model is ready and exported, let’s head over to Procreate for the texture painting. usdz file, simply change its file extension to. Tip 2 : The latest version of Blender 3.0 can import. Tip 1 : Web converters such as can be used to convert. usdz format natively (you’ll need a special add-on to export in this format with Blender for example). However very few programs support this new. This format properly exports not only the mesh but also its materials and corresponding textures. usdz file format on the other hand is a newer format used by companies like Apple and Pixar. obj file format is an older format that is still widely used and accepted by most if not all programs, however it doesn’t transfer any texture or material properties, just the 3D mesh information. ![]() Currently, a base knowledge of Python is required to access the functions in the datasets.Currently our model does not have any materials or textures that we want it to carry over, so we have no need for the more complex. Reliable gesture recognition continues to be a challenge in developing interactive experiences, and the research into Machine Learning will become increasingly important to our work. Machine Learning motion tracking libraries and datasets such as COCO (Microsoft Common Objects in Context), MPII Human Pose, JHMDB (Joint-annotated Human Motion Data Base), LSP (Leeds Sports Pose), and others will become more reliable, easier to set up, and read data into game engines such as Unity. This is particularly challenging for the optical motion capture suits, where markers become occluded by props, other actors, or even the floor. The data is processed, and often “cleaned” by artists, removing noisy data, and adding missing motion for the gaps in the data. The camera data is triangulated, and the locations of the spheres are reconstructed in virtual space, In other systems, special suits are worn, with embedded sensors that use accelerometers and gyros to track the wearer’s movement. A complete VFX or game studio motion tracking system requires dozens of infrared cameras, placed around the capture space, and the subject needs to be covered in reflective balls. While the research into AR, particularly body segmentation is active and improving with each iteration, there are still some challenges with the technology. However, for smaller experiments, these tools prove extremely valuable for the entry level to our production pipeline. This takes a great deal more resources to integrate into our larger experiences, but allow for more flexibility and scale than these consumer level tools. We use threeJS, MediaPipe, and many of the libraries available to identify and track body parts, finger and facial features. Once the client approves these initial “proof of concepts”, work begins on developing a fully-functional tool. Much of the underlying methods are in a “black box” in tools such as Lens Studio and Meta’s tools. ![]()
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