Depth Anything V3 in FiftyOne: Monocular Depth to 3D Scenes

FiftyOne 1.22.0 expands support for Depth Anything V3, enabling monocular depth workflows with confidence and sky masks, reference-view selection, pose and scale alignment, metric-depth indicators, and exports of single images into 3D point clouds viewable within FiftyOne. The post compares the small and base Depth Anything V3 models on six selected Quickstart images using a simple pre-defined near-versus-far depth-ordering test: the small model passed five images, while the base model passed all six but required 1.6 times more processing time per image and 3.9 times more disk space in the reported CPU test. The principal difficult case involved a cat reflected in a mirror, illustrating the known limitations of monocular depth estimation on mirrors, glass, and other surfaces without directly measurable physical depth. It demonstrates that `compute_3d_exports()` can combine a depth estimate and inferred camera information to create a GLB point-cloud scene from one photograph, while emphasizing that teams should evaluate depth models on their own imagery and failure cases before deploying them for applications such as robotics, retail visualization, real estate, or insurance.

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