How can I import large data sets

To import large data sets, especially in the context of 3D assets and spatial computing, you can follow these steps based on the sessions from WWDC:

1. Choose the Right Format:

   • USD (Universal Scene Description): This is a versatile format supported by many applications like Blender, Autodesk Maya, SideFX Houdini, and more. USD comes in different types:
     • USDA: ASCII format, good for collaborative work.
     • USDC: Binary format, efficient for storing large amounts of data.
     • USDZ: Zip format, useful for AR assets as it packages all dependencies like textures into a single file.

2. Exporting from DCC Tools:

   • Use tools like Blender, Maya, or Houdini to create and export your 3D assets. For example, in Blender, you can export your scene as a USD file by going to the file menu and selecting the export option for USD.

3. Optimizing Your Assets:

   • Polygon Count: Keep the polygon count within recommended limits (e.g., no more than 500,000 triangles for an immersive scene).
   • Textures: Use efficient texture management techniques, such as baking lighting and using procedural maps.

4. Loading Data Efficiently:

   • Use APIs for loading photogrammetry samples, which can handle large data sets by filling in all available data properties from images, including depth data and gravity.

For more detailed steps and examples, you can refer to the following sessions:

• Optimize your 3D assets for spatial computing (02:21)
• Create custom environments for your immersive apps in visionOS (06:19)
• Discover area mode for Object Capture (07:34)

These sessions provide comprehensive guidelines on exporting, optimizing, and managing large data sets for 3D assets in various applications.