Search Results for "shape detection"

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...

DiLu Converter is the fastest, most powerful and most professional Excel import and export tool. It supports multiple popular databases such as MySQL, Oracle, SQL Server, PostgreSQL, IBM DB2, Access, Hive, SQLite and Excel files in xls, xlsx, xlsm, xlsb, csv, txt and xml formats. It allows you to import and export in one step, in batch , in scheduled and in realtime For detail, Please see document: https://github.com/ryjfgjl/DiLuConverter/blob/master/README.md Contact: Email:...

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...

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

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.

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

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.

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...

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...

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.

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.