Search Results for "gap"

...Built on top of Detectron2 and PyTorch3D, Mesh R-CNN enables end-to-end 3D mesh prediction directly from single RGB images. The model learns to detect, segment, and reconstruct detailed 3D mesh representations of objects in natural images, bridging the gap between 2D perception and 3D understanding. Unlike voxel-based or point-based approaches, Mesh R-CNN uses a differentiable mesh representation, allowing it to efficiently refine surface geometry while maintaining high spatial detail. The system combines 2D detection from Mask R-CNN with 3D reasoning modules that output full mesh reconstructions aligned with the input image. ...

...Inspired by existing packages, this library is composed by a subset of packages containing operators that can be inserted within neural networks to train models to perform image transformations, epipolar geometry, depth estimation, and low-level image processing such as filtering and edge detection that operate directly on tensors. With Kornia we fill the gap between classical and deep computer vision that implements standard and advanced vision algorithms for AI. Our libraries and initiatives are always according to the community needs.

Effeckt.css is a showcase and toolkit of high-performance UI transitions and animations for the web. It catalogs common interaction patterns—button states, list reveals, modals, off-canvas menus, and page transitions—implemented with CSS transforms and opacity for smooth, GPU-friendly motion. The project focuses on practical details such as using compositing-friendly properties, keeping DOM structures lean, and providing hooks so JavaScript can toggle classes without micromanaging animation...

ImatiSTL is a C++ library for applications that need to finely post-process raw polygon meshes represented by STL files. It is particularly useful in 3D printing scenarios: the repairing functions provided by ImatiSTL bridge the gap between printable meshes and real-world meshes with diverse potential defects and flaws (e.g. degenerate triangles, self-intersections, surface holes, ...). ImatiSTL provides both functions for local mesh repairing and methods for global remeshing. Local repairing is useful when the available data must remain exactly as it is in the input STL file, whereas global remeshing may fix even highly corrupted meshes at the cost of a small distortion in the resulting fixed mesh.

The main objective of the proposed software solution is to improve the performance in dental diagnosis using infrared lock-in thermography and complex image processing algorithms for the determination of defective zones of teeth. The recorded amplitude profile of the thermal wave shows a maximum corresponding to a heat accumulation in the region where the open micro-gap is found, whereas a minimum in the phase profile is detected. These maxima/minima are convenient indicators that allow to locate surface breaking defects on teeth. For the purpose of emphasizing very small temperature variations surrounding the thin flaws, different image processing algorithms were developed and included within the DCD software solution. ...

...Many comparable APIs tend to either use video hardware, or are simply not as fully-featured as one might hope or expect, at least in the area of visual elements. AnsiGL can serve to bridge that gap easier, and since it "renders" to a std::string (or optionally, an ncurses WINDOW *), integration should be relatively easy with just about any project. Bindings to ncurses are provided to allow for rapid, fully-featured application development with old and familiar friends, along with AnsiGL.