Cine Gear Should Be Open. Open Source Software Rigs for Camera Telemetry & Raw Capture.
No artificial feature locks. No locked ecosystems. OpenMotionFX and OpenCamera match direct hardware sensor data pipelines with high-speed spatial math. Built for low-budget virtual production, hacker camera setups, and custom tracking rings.
git clone https://github.com/OpenMotionFX/OpenMotionFX.git
OpenMotionFX
The core spatial math driver. Solves camera positional arrays, matrix lens transformations, and frame-accurate optical flow data paths without locking your hardware loop down.
INSPECT CODE MATRIX| BUILT-IN SPECIFICATION | METRIC LAYER |
|---|---|
| Dependency Target | Pure C++20 Standard Library Architecture |
| Latency Footprint | Sub-millisecond solver performance loop |
| Integration Blocks | Native hooks for Blender, Unreal Engine, and custom setups |
| Open License Node | MIT — Use it, break it, build on it freely |
OpenCamera
Low-level driver bridge. Pulls uncompressed RAW frame vectors straight from hardware capture blocks while injecting clock-accurate matrix metadata into the stream.
INSPECT HARDWARE INTERFACE| BUILT-IN SPECIFICATION | METRIC LAYER |
|---|---|
| Kernel Framework | V4L2 Native Interface Control Map |
| Capture Modes | Direct Uncompressed RAW10 / RAW12 Frame Arrays |
| Hardware Genlock Sync | Sub-microsecond PPS physical pin tracking support |
| License Node | Apache-2.0 Operational Transparency |
SET HACKS & ARCHITECTURE DEEP-DIVE
Can I use this to build my own cheap camera tracking rig for virtual production?
That is exactly why this exists. Instead of buying expensive closed positional setups, you can combine OpenMotionFX with cheap hardware components (like IMU sensors or tracking markers). OpenMotionFX processes spatial orientation data loop vectors natively, outputting real-time coordinate changes directly into your render engine environment without artificial processing limits or custom hardware locks.
Does OpenCamera work with standard, cheap camera sensors or capture cards?
Yes. OpenCamera talks directly to standard Linux driver architectures (V4L2 layers). It bypasses consumer-grade auto-exposure wrappers and color-softening profiles, letting you extract raw pixel matrix data straight from the sensor board. If your device maps correctly over standard USB3 or a PCIe bus, you can pull frames directly into custom software pipelines.
How does the framework guarantee frame-accurate sync on an indie budget?
Commercial systems charge thousands for hardware lock features. OpenCamera tackles this by supporting physical PPS (pulse-per-second) clock lines right at the driver layer. It instantly injects a deterministic hardware timestamp into every uncompressed frame array header. OpenMotionFX uses this baseline to calculate lens position fields, eliminating spatial drift across different data blocks.
Is it difficult to write custom code or extensions for this engine?
No. We hate proprietary software black boxes as much as you do. The core calculation routines are written in highly decoupled, standard C++20 with a lock-free structure. There are no bloated wrappers or hidden code segments. You can easily fork the repositories, write custom ingestion scripts for specialized hardware sensors, or route spatial coordinates to any asset engine you choose.