feat: initial upload of 1024x1024 DepthPro CoreML models

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README.md

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 ---
 license: apple-ascl
+library_name: coreml
+tags:
+- depth-estimation
+- visionos
+- apple-silicon
+- amlr
+- computer-vision
+- depth-pro
+- 1024x1024
+extra_gated_heading: DepthPro CoreML (High-Resolution 1024px)
+extra_gated_button_content: Access Model
 ---
+
+# DepthPro CoreML (1024x1024 High-Resolution)
+
+This repository contains the **High-Resolution (1024x1024)** version of the DepthPro model, optimized for CoreML. 
+
+DepthPro is a state-of-the-art monocular depth estimation model that provides sharp, metric-scale depth maps. This 1024px version is specifically designed for **High-Quality 3D Exports** where edge precision and fine detail preservation are critical.
+
+## 🚀 Key Features
+- **High Fidelity**: Captures thin structures (threads, instruments, hair) with superior accuracy compared to the 512px version.
+- **Symmetric 3D Rendering Optimized**: Perfectly suited for symmetric shifting in VR/AR to minimize visual discomfort.
+- **VisionOS Ready**: Fully compatible with Apple Vision Pro (optimized for GPU/CPU).
+
+## 📊 Performance & Requirements
+| Metric | Specification |
+| :--- | :--- |
+| **Input Resolution** | 1024 x 1024 pixels |
+| **Compute Units** | GPU + CPU (Recommended for stability) |
+| **Average Latency** | ~7.5s per frame (on M2 Ultra/M3 Max) |
+| **Target Use Case** | Offline Video Conversion / High-Quality Spatial Video Export |
+
+> [!IMPORTANT]
+> To ensure inference stability at this resolution, this model is configured to use the **GPU/CPU path** rather than ANE to avoid memory limits.
+
+## 📦 Repository Contents
+The repository contains the following core components:
+1. `DepthPro_transform.mlpackage`: Image preprocessing.
+2. `DepthPro_encoder.mlpackage`: Feature extraction (ViT-Large).
+3. `DepthPro_decoder.mlpackage`: Multiresolution fusion.
+4. `DepthPro_depth.mlpackage`: Final depth output and high-res feature generation.
+
+## 🛠 Usage with Swift Transformers
+You can download and cache this model dynamically using `swift-transformers`:
+
+```swift
+let hub = Hub()
+let modelDir = try await hub.snapshot(repoId: "aarondevstack/DepthPro-1024x1024-coreml")
+// Load models from the downloaded directory