Search Results for "segment"

The Point Cloud Library (PCL) is a standalone, large scale, open project for 2D/3D image and point cloud processing. PCL is released under the terms of the BSD license, and thus free for commercial and research use. Whether you’ve just discovered PCL or you’re a long time veteran, this page contains links to a set of resources that will help consolidate your knowledge on PCL and 3D processing. An additional Wiki resource for developers is available too. To simplify both usage and...

...Animations remain crisp at any resolution, load quickly compared to videos or GIFs, and can be controlled programmatically for interactivity. The runtime supports playback options like loop, autoplay, segment control, and event hooks, making it easy to sync motion with UI state. Because animations are data rather than pixels, designers and developers can collaborate: designers export with the Bodymovin plugin, and developers integrate the JSON with minimal code. The renderer handles masks, shapes, and keyframe timing to closely mirror After Effects behavior within web constraints. ...

Mesh R-CNN is a 3D reconstruction and object understanding framework developed by Facebook Research that extends Mask R-CNN into the 3D domain. 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. ...

- 15 segmentation tools (FloodFill Strict, Adaptive Gaussian Threshold, Manual Brush (Freehand Lasso), Polygon Lasso (Click Points), Manual Bounding Box, Auto Bounding Box, Local Otsu Auto-Threshold, K-Means Clustering, Watershed, GrabCut AI, Canny Edge + Morphological Close, Morphologic Active Contours, Interactive Heatmap, Topographical Relief Map, Segment Anything AI) - Hybrid Layout (1 window with editor tools or Split-View with a preview window) - Intelligent file management (once a folder is loaded, the system recognizes which files already have masks and leaves them in the background) - Real-time filter application (CLAHE, Global Histogram Equalization, Top-Hat, Bottom-Hat, Multi-Scale Retinex, Homomorphic Filter, Sharpness Control) - Three mask and label options (conventional masks in - Lesion shape, lesion region bounding boxes, and heatmap to outline the lesion and its secondary components) - Brush/cursor sensitivity control...

...The tool requires as input the original RGB images, and the FastRed, FastBlue, DAB channel, easily obtained using the Fiji function: "ImageJ" -> "Image" -> "Colour Deconvolution" -> "FastRed FastBlue DAB" Then, the tool first segment the nuclei using the FastBlue channel and the DAB channel, and then computes statistics by subdividing the sample in three regions according to the FastRed channel: a dark-red ROI, a light-pink ROI and a white ROI. ANDTool is written in MATLAB (The MathWorks, Inc., Massachusetts, USA) and the source code and standalone versions are here available for download. ...

Animated top/bottom segmented control written in Swift. Segment width relies on SegmentioPosition enum. The width can be fixed according to the maximum visible items or dynamic according to segment's content size. Selection indicator can be customized by passing an instance of SegmentioIndicatorOptions. Horizontal borders can be customized by passing an instance of SegmentioHorizontalSeparatorOptions.

ITK-SNAP is a software application used to segment structures in 3D medical images. It is the product of a decade-long collaboration between Paul Yushkevich, Ph.D., of the Penn Image Computing and Science Laboratory (PICSL) at the University of Pennsylvania, and Guido Gerig, Ph.D., of the Scientific Computing and Imaging Institute (SCI) at the University of Utah, whose vision was to create a tool that would be dedicated to a specific function, segmentation, and would be easy to use and learn. ...

Biomorphs are a way of explaining evolution invented by Richard Dawkins. The shapes are controlled by a small set of genes, which give colour, segment length, size, and degree of recursion. By changing a gene by a small amount, a small difference is made in neighbours. Many fascinating shapes can be found, and you can often home in on a desired shape by selecting relatives that are closer to your goal. The program uses the Baby X toolkit.

RandTree is a MatLab based tree simulator program where the algorithm is based on Honda's model. We have used probabilistic generation of branches in order to simulate visually realistic tree structures. This program is designed to generate branching structures with bifurcation branching pattern (sympodial branching). By changing the probabilities and branching angles, you can generate different shapes of trees.

C++ implementation of the Adaptive and Generic Accelerated Segment Test (AGAST): a highly efficient corner detector based on the same corner test as FAST. For a C implementation please refer to http://sourceforge.net/projects/agast/

Adaptive and Generic Accelerated Segment Test (AGAST): a highly efficient corner detector based on the same corner test as FAST. For a thread-safe C++ implementation please refer to http://sourceforge.net/projects/agastpp/