VR to 2D Converter
A targeted tool that converts 3D VR points into 2D screen coordinates for debugging, content alignment, and rendering validation.

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About This Tool
This tool maps 3D points from VR space to 2D screen coordinates using a configurable camera and viewport. It supports both perspective and orthographic projections, enabling precise validation of overlays, UI alignment, and telemetry debugging. The core pipeline includes world-to-view transformation, projection to clip space, normalization to device coordinates, and final mapping to pixel coordinates. Batch input support allows processing multiple points in one run, with per-point results including x and y screen locations, depth, and a validity flag. The tool outputs numbers with consistent precision to facilitate automated checks and export to CSV or JSON for integration into pipelines. It also reports edge cases such as points behind the camera or outside near/far planes, assigning explicit validity status instead of ambiguous results. The main differentiator is the combination of batch capability, explicit error signaling, and flexible projection configuration, making it suitable for developers validating complex VR overlays or mixed-reality workflows. Typical use cases include aligning HUD elements to VR scenes, QA regression testing for projection consistency, and content authoring where 2D overlays must precisely track 3D positions across viewports. By separating the math from rendering, this tool enables repeatable, accelerator-like checks in CI pipelines and design workflows. The approach favors metric clarity, straightforward inputs, and deterministic outputs to support automation and reproducibility.
How to Use
Provide inputs: world_points, viewport_width, viewport_height, and camera parameters.
Choose projection: perspective or orthographic; set fov_y or bounds accordingly.
Run calculation: execute the conversion for all input points to obtain screen coordinates and depth.
Review outputs: inspect screen_x, screen_y, depth, and validity flags; note any out-of-bounds or behind-camera cases.
Export results: save as JSON or CSV for downstream tooling or regression tests.

FAQs/Additional Resources
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What is the conversion based on?
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