Update README.md

README.md

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+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.