CVXOPT vs. Python vs. VisionLib vs. imageio Comparison Chart

CVXOPT is a free software package for convex optimization based on the Python programming language. It can be used with the interactive Python interpreter, on the command line by executing Python scripts, or integrated in other software via Python extension modules. Its main purpose is to make the development of software for convex optimization applications straightforward by building on Python’s extensive standard library and on the strengths of Python as a high-level programming language. Efficient Python classes for dense and sparse matrices (real and complex), with Python indexing and slicing and overloaded operations for matrix arithmetic. Interfaces to the linear programming solver in GLPK, the semidefinite programming solver in DSDP5, and the linear, quadratic and second-order cone programming solvers in MOSEK.

VisionLib is a multi-platform augmented reality tracking SDK. With its enhanced model tracking, it enables painless 3D object tracking for high class augmented reality applications and the most essential AR cases. Extend the context, augment objects and blend, overlay or pin digital information onto reality. VisionLib’s Model Tracking is basis for a wide range of AR applications that require high performance object recognition and precise tracking, which is essential to the digitalization of industrial processes. AR transforms how we work & learn, visualizing things that would be impossible to see otherwise. It bridges gaps between digital & real to deliver critical information in the context of work. Use CAD & 3D data as reference for object tracking. VisionLib support multiple file formats. VisionLib is available as a Unity or native plug-in, and can be integrated into single apps or full platforms.