| --- |
| annotations_creators: |
| - synthetic |
| language: |
| - en |
| license: cc-by-nc-4.0 |
| task_categories: |
| - depth-estimation |
| - image-to-3d |
| tags: |
| - forgeoptics |
| - 3d-vision |
| - structured-light |
| - phase-shifting |
| - depth-map |
| - point-cloud |
| - synthetic-dataset |
| pretty_name: ForgeOptics Structured Light Depth Samples |
| --- |
| |
|  |
|
|
| [](https://www.youtube.com/watch?v=JFxiePWoQpQ) |
|
|
| ## What's Included |
| Free sample synthetic depth datasets generated deterministically using **ForgeOptics — Structured Light Depth Simulator**. |
| each sample scene folder contains the following files: |
|
|
| 1. depth_z.exr — Raw 32-bit float metric depth map. Using camera intrinsics (calib), you can reconstruct the true 3D point cloud. |
| |
| 2. render.png — RGB render output. |
| |
| 3. seg_index.json — Object-ID segmentation mask mapping and class index metadata. |
|
|
| 4. pointcloud_scene3.ply — Pre-reconstructed 3D point cloud (provided for Scene 3 as an example reference; other raw point clouds are excluded to keep file sizes manageable). |
| |
| ## Generated by ForgeOptics |
| These datasets are produced by ForgeOptics, a high-performance optical simulation engine designed for synthetic data generation. |
| Key Software Features |
| - Physically Accurate Structured Light Simulation: Simulates multi-frequency phase-shift fringe pattern projection for depth acquisition. |
| - Complex Optics Path Tracing: Accurately models optical refractions, surface caustics, metallic reflections, and PBR materials. |
| - AOV Extraction + OIDN Denoising: Extracts clean first-hit G-buffers (Albedo, Normals, Metric Depth) with Open Image Denoise. |
| - Automated Headless Integration: Runs as an HTTP microservice (--headless) for Python-driven batch generation pipelines. |
| - Multi-Format Ingestion: Direct CAD model loading (.obj, .glb, .stl). |
| |
| ## What Problems Does It Solve? |
| In computer vision and industrial robotics, acquiring ground-truth depth data for physical sensors is difficult, expensive, and error-prone. ForgeOptics addresses key challenges: |
| |
| 1. **No Sensor Noise / Calibration Overhead:** Eliminates the manual labor of capturing and labeling real-world 3D scanner data. |
| |
| 2. **Challenging Optical Surfaces:** Solves ground-truth depth generation for hard-to-scan materials like PBR glass, reflective metal, and dark absorbing plastics. Easily swap materials on the same geometry to generate perfect side-by-side ground-truth comparison datasets. |
| |
| 3. **Edge Case Dataset Expansion:** Allows rapid generation of thousands of corner-case scenes under varying light conditions and camera poses before real hardware deployment. |
| |
| 4. **Ideal for Vision-Language & Physical AI:** Provides perfect, pixel-aligned depth and segmentation ground truth for fine-tuning object detection, instance segmentation, and 3D pose estimation models. |
| |
| ## Get the App |
| To render custom depth datasets with your own CAD models on your local GPU: |
| 👉 **[Buy ForgeOptics on Gumroad ($199 Perpetual License)](https://5940734191807.gumroad.com/l/eqxti)** |
| * Native **Windows** (CUDA / DX12) and **Linux** (CUDA 12 / OptiX) binaries |
| * Includes interactive GUI mode and Headless HTTP server mode (`--headless`) |
| |
| ### How to use: |
| `uv venv --python 3.11` |
| `uv pip install -r requirements.txt` |
| ## ⚡ Quick Start & Visualization |
| |
| `python ./src/main.py` -> batch process with your scene setting |
| |
| `python ./src.depth_visualizer.py` -> for checkign the depth results |
| ## Acknowledgments |
| This project builds upon [LuisaRender](https://github.com/LuisaRender/LuisaRender), used under the [BSD 3-Clause License](https://opensource.org/licenses/BSD-3-Clause). Copyright (c) LuisaGroup. |
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