Web- Implémentation efficace de l'algorithme marching cubes entièrement en glsl. - Génération procédurale de fond marin. - Simulation d'un système de particules physique en CUDA (animation de bulles, poissons, algues, ...). - Exploitation de l'interopérabilité entre OpenGL et CUDA afin de tirer au maximum parti des performances du GPU. WebSciPy is a scientific computation library that uses NumPy underneath. SciPy stands for Scientific Python. It provides more utility functions for optimization, stats and signal processing. Like NumPy, SciPy is open source so we can use it freely. SciPy was created by NumPy's creator Travis Olliphant. Why Use SciPy?
Contour finding — skimage v0.20.0 docs - scikit-image
Marching cubes is an algorithm to extract a 2D surface mesh from a 3D volume. This can be conceptualized as a 3D generalization of isolines on topographical or weather maps. It works by iterating across the volume, looking for regions which cross the level of interest. WebComputing Science - Simon Fraser University fix a backdrafting water heater
3d isosurface plots in Python
Webclass scipy.spatial.ConvexHull(points, incremental=False, qhull_options=None) # Convex hulls in N dimensions. New in version 0.12.0. Parameters: pointsndarray of floats, shape (npoints, ndim) Coordinates of points to construct a convex hull from incrementalbool, optional Allow adding new points incrementally. Web11 Apr 2024 · On each DNS snapshot of Y(x, t), a flame front ∂Ω(t) was numerically extracted using the marching cubes method as a collection of iso-lines at Y = 0.6. To adapt each flame front to a 2d operator-regression network, we introduce a 2d scalar function Φ as Web5 Jan 2024 · The point of marching_cubes_lewiner is to go from volumetric data to triangles. If you already have triangles, there is no point doing the round trip via volumetric data. If … fix a bad couch