The project is in its early experimental stages, with a long roadmap ahead and an evolving API. The creator is seeking funding to continue development full-time and emphasizes the potential of coding as a powerful method for designing 3D mechanical systems, extending this concept to optical systems. The library is intended for those interested in exploring the intersection of optics and machine learning, with the promise of significant advancements as the project matures.
Key takeaways:
- Torch Lens Maker is an open-source Python library for differentiable geometric optics based on PyTorch, aimed at designing complex optical systems using modern computer code and numerical optimization.
- The project leverages PyTorch's automatic differentiation and optimization algorithms, treating optical elements as layers in a neural network, with light rays as data flowing through the system.
- The library allows for the use of PyTorch's `torch.nn` and `nn.Module` to stack optical elements like lenses and mirrors, enabling the design of optical systems similar to training a neural network.
- The project is in its early stages, with a long roadmap planned, and the API is subject to change; the creator is seeking funding and support to continue development.