---
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
---

![thumb3](https://cdn-uploads.huggingface.co/production/uploads/65f8f02ceedf15ba131616e4/VS2Ng9Nvhh270Nn0qLi1f.png)

[![ForgeOptics Structured Light Demo](https://img.youtube.com/vi/JFxiePWoQpQ/maxresdefault.jpg)](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.