Relative monocular depth from a single image. DA3 Main Series, Small (0.08B params, DINOv2 ViT-S/14 + DualDPT head). First public Core ML conversion of Depth Anything 3.
Core ML conversion of
ByteDance-Seed/Depth-Anything-3
for on-device inference on iPhone, iPad and Mac. Converted with
coremltools
; the packages are stateless, so all sequencing and buffering lives in your Swift code.
compute_units
is not a suggestion -- it is the configuration the conversion was verified against. Moving a package to a different compute unit can silently change the numerics (FP16 attention overflow) or crash on the GPU.
import CoreML
let config =MLModelConfiguration()
config.computeUnits = .all // as converted — see the table above// Unzip the .mlpackage, drop it into your Xcode target and Xcode compiles it// at build time:let model =tryDepthAnythingV3_small_504(configuration: config)
// ...or compile a downloaded .mlpackage at runtime:let compiled =tryawaitMLModel.compileModel(at: mlpackageURL)
let model =tryMLModel(contentsOf: compiled, configuration: config)
Demo
Models Zoo
— this model is downloadable and runnable inside the
Models Zoo app
on the App Store, no build required.
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