Search Results for "fairly"

...There are bugs, functionality is missing, and performance hasn't been optimized. Expect to have to make changes to this package if you want to use it. PRs are very welcome. These requirements are fairly strict, and are due to our limited development resources (manpower, hardware). Technically, they can be relaxed. If you are interested in contributing to this, see this issue for more details. In practice, Metal.jl will probably work on any macOS 10.15+, and other GPUs that are supported by Metal might also function (if only partially), but such combinations are unsupported for now.

Reliquarium is a very unique set of 3-Dimensional slider puzzles with a Crystal Skull theme. A totally new category of puzzle that would be impossible to build or manipulate in physical form. They can help improve 3D visualization and problem solving skills. Suitable for children preparing for math or geometry, as well as adults. Works on laptops or PCs or Macs running Windows, OSX, or Linux.

...PTOptimizer is part of panorama tools, a great software for aligning and stitching several partially overlapping photos in order to get a bigger photo. When you have only a small or medium number of images and control points, the original PTOptimizer does the optimization in a fairly short time. However if you have a large number of images (several hundrets or more than thousand) and control points, PTOptimizer typically needs much time (up to several days) for the optimization of the parameters. fastPTOptimizer decreases the processing time for large panoramas (a speedup factor of 100 or more can be achieved). ...

RigidBodyDynamics.jl is a rigid body dynamics library in pure Julia. It aims to be user friendly and performant, but also generic in the sense that the algorithms can be called with inputs of any (suitable) scalar types. This means that if fast numeric dynamics evaluations are required, a user can supply Float64 or Float32 inputs. However, if symbolic quantities are desired for analysis purposes, they can be obtained by calling the algorithms with e.g. SymPy.Sym inputs. If gradients are...