--- license: mit library_name: coreml pipeline_tag: keypoint-detection tags: - coreml - core-ml - ios - macos - apple - on-device - face-alignment - 3dmm - head-pose - arxiv:2009.09960 --- # 3DDFA V2 — Core ML *3D Face Reconstruction, 2020* Single-image 3D face reconstruction. Predicts 6 DoF pose + expression parameters.

3DDFA V2 demo

Core ML conversion of [cleardusk/3DDFA_V2](https://github.com/cleardusk/3DDFA_V2) 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. | | | |---|---| | Task | keypoint detection | | Upstream | [cleardusk/3DDFA_V2](https://github.com/cleardusk/3DDFA_V2) | | Packages | 1 | | Download size | 6 MB | | Minimum iOS | 17.0 | | Peak RAM | ~200 MB | ## Files | File | Size | Compute units | SHA-256 | |---|---:|---|---| | `3DDFA_V2.mlpackage.zip` | 6 MB | `all` | `0f715dc220c046f5…` | | **Total** | **6 MB** | | | `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. ## Download ```bash hf download mlboydaisuke/coreml-zoo --include "face3d/*" --local-dir ./face3d unzip './face3d/face3d/*.zip' -d ./face3d ``` ## Use in Swift ```swift 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 = try 3DDFA_V2(configuration: config) // ...or compile a downloaded .mlpackage at runtime: let compiled = try await MLModel.compileModel(at: mlpackageURL) let model = try MLModel(contentsOf: compiled, configuration: config) ``` ## Demo - **Sample app** — [`sample_apps/Face3DDemo`](https://github.com/john-rocky/CoreML-Models/tree/master/sample_apps/Face3DDemo), a standalone SwiftUI project. - **Models Zoo** — this model is downloadable and runnable inside the [Models Zoo app](https://apps.apple.com/app/id6762083207) on the App Store, no build required. ## Conversion - Pitfalls hit during conversion (FP16 overflow, ANE buffer limits, stride handling): [`docs/coreml_conversion_notes.md`](https://github.com/john-rocky/CoreML-Models/blob/master/docs/coreml_conversion_notes.md) - Model index: [CoreML-Models](https://github.com/john-rocky/CoreML-Models) ## License The conversion inherits the upstream license: **MIT**. ## Credits - Upstream authors: [cleardusk/3DDFA_V2](https://github.com/cleardusk/3DDFA_V2), 2020 - Core ML conversion: john-rocky (Daisuke Majima)