Search Results for "shape detection"
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Showing 14 open source projects for "shape detection"
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1
CapFrameX
Frametime capture and analysis tool
CapFrameX is a performance capture and analysis tool designed for PC gamers and benchmarking enthusiasts, which records frametimes, frame-rates and various sensor data during game or application execution. It uses backend tools like PresentMon to log data and then exposes a comprehensive UI for analyzing the results: you can view charts of frametimes, historic graphing, stuttering analysis, L-shape graphs, input-lag overlays, and compare multiple capture runs side by side. Importantly, the tool... -
2
Jittor
Jittor is a high-performance deep learning framework
Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators. The whole framework and meta-operators are compiled just in time. A powerful op compiler and tuner are integrated into Jittor. It allowed us to generate high-performance code specialized for your model. Jittor also contains a wealth of high-performance model libraries, including image recognition, detection, segmentation, generation, differentiable rendering, geometric learning, reinforcement... -
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DiLu Converter
A powerful Import and Export tool between Excel and Database
DiLu Converter is a powerful Excel import and export tool that supports more than 10 databases such as MySQL, Oracle, SQL Server, PostgreSQL and so on. The supported file formats include xls, xlsx, xlsm, xlsb, csv, txt, xml, json, and dbf. Its native user interface brings users a comfortable experience of simplified Excel import and export, making Excel import and export easier than ever before. Whether you want one-click, batch, and personalized import and export, or want to use... -
4
Geometry Breakdown
Get geometric graphs, metrics, and comparisons for 2D shapes.
Geometry Breakdown is a free and easy to use shape analyzer for Windows. It lets users create, visualize, and export summaries of classic and custom geometric shapes including circles, triangles, rectangles, ellipses, spirals, and both regular and irregular polygons. Irregular shapes can be entered by vertex, and self-intersecting polygons are supported with accurate area detection. Spiral types include Archimedean, Logarithmic, Fermat, and Hyperbolic. Features include annotated graphs, metric... -
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5
ChainerCV
ChainerCV: a Library for Deep Learning in Computer Vision
ChainerCV is a collection of tools to train and run neural networks for computer vision tasks using Chainer. In ChainerCV, we define the object detection task as a problem of, given an image, bounding box-based localization and categorization of objects. Bounding boxes in an image are represented as a two-dimensional array of shape (R,4), where R is the number of bounding boxes and the second axis corresponds to the coordinates of bounding boxes. ChainerCV supports dataset loaders, which can... -
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DeepMask
Torch implementation of DeepMask and SharpMask
DeepMask is an early, influential approach to class-agnostic object segmentation that learns to propose pixel-accurate masks directly from images. Instead of first generating boxes and then refining them, the network predicts a foreground mask and an “objectness” score for a given image patch, yielding high-quality segment proposals suitable for downstream detection or instance segmentation. The model is trained end-to-end to align mask shape with object extent, which markedly improves recall... -
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Scilab Image Processing Toolbox
Advanced image processing toolbox for Scilab on Unix/Linux/Mac OS
SIP is the image processing and computer vision package for SciLab, a free Matlab-like programming environment. SIP reads/writes images in formats like JPEG, PNG, and BMP. It does filtering, segmentation, edge detection, morphology, and shape analysis. Download from Git http://siptoolbox.sourceforge.net/devel -
8
libsombrero
Astronomical object/structure detection from 1D and 2D data sets.
Sombrero is a fast wavelet image processing and object detection C library for astronomical images. Sombrero is named after the "Mexican Hat" shape of the wavelet masks used in image convolution and is released under the GNU LGPL library. -
9
mahasona
Mahasona engine is an open source game engine.
Mahasona Engine is a Game engine written on top of OpenGL renderer. Currently no official release but svn repository version. Includes an example application. Find the wiki page for howto's Ubuntu Video http://www.youtube.com/watch?v=y5OSCTb_aNA Windows Video http://www.youtube.com/watch?v=dS_YwzyCjn4 Projects using Mahasona Engine- 1. Snap-n-fold: origami pattern generation based real-life object structure http://dl.acm.org/citation.cfm?id=2223800 -
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10
ivantk
Image-based Vascular Analysis Toolkit
The Image-based Vascular Analysis Toolkit is a set of multiplatform C++ libraries for vascular analysis of (3D) medical images, typically CT or MRI. It can be considered as an extension of the Insight Toolkit (ITK) for vascular image analysis, with methods for detection, extraction and modeling of vascular structures. -
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The Surveillance Network Augmented by Retrieval (SUNAR) Event Detection system, inherits the single-camera functionality of SUNAR - an information retrieval based wide area (video) surveillance system being developed at FIT, Brno University of Technology. It contains both standard and experimental techniques evaluated at the AVSS 2009/10 Multi-Camera Tracking Challenge and TRECVid 2012 (SED pilot). We have deployed active learning functionality based on moving objects' trajectory statistics...
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SGI allows to define and interpret most of undeterministic 2D shape grammars. It supports real-time subshape detection and labeled rules. GUI is designed for easy manipulation with shape grammars: creation of shapes, rules and generation of designs.
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13
Spike detector
Action potential detection from extracellular recording
TAction potential detection from extracellular recording data embedded with baseline fluctuations. The attached pictures show actual extracelluar recording in different time resolutions (above: x = time (ms); y = current (A)) and the spike detector output (below: x = time (ms); y = 1 on a spike position, 0 elsewhere). The prevailing problem with the spike detection analysis is that there is a mild baseline fluctuation and the sampling rate can vary among data files. This spike detecting... -
14
This project aims to develop an interaction framework based on body detection by webcams, identifying the skeleton shape (hands, arms, head, legs etc), for games, virtual reality, augmented reality and other applications.
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