Search Results for "rapid"

...It allows for rapid prototyping as well as fast execution on a wide range of computer hardware, including small embedded x86 CPUs and large workstation discrete GPUs.

This repository provides a from-scratch, minimalist implementation of the Vision Transformer (ViT) in PyTorch, focusing on the core architectural pieces needed for image classification. It breaks down the model into patch embedding, positional encoding, multi-head self-attention, feed-forward blocks, and a classification head so you can understand each component in isolation. The code is intentionally compact and modular, which makes it easy to tinker with hyperparameters, depth, width, and...

pycls is a focused PyTorch codebase for image classification research that emphasizes reproducibility and strong, transparent baselines. It popularized families like RegNet and supports classic architectures (ResNet, ResNeXt) with clean implementations and consistent training recipes. The repository includes highly tuned schedules, augmentations, and regularization settings that make it straightforward to match reported accuracy without guesswork. Distributed training and mixed precision are...

...Our method recursively computes the error probability by considering the accurate cases only, which are considerably smaller than the erroneous ones. Our method can handle the error analysis of a wider-range of adders with negligible computational overhead. To ensure its rapid adoption in industry and academia, we have open-sourced our LabVIEW and MATLAB libraries. Lab Web Page: http://save.seecs.nust.edu.pk/projects/SEALPAA/ Emails: 14mseemayub@seecs.edu.pk, osman.hasan@seecs.edu.pk, muhammad.shafique@tuwien.ac.at

reacTIVision is a computer vision framework for the fast and robust tracking of markers attached on physical objects, and the creation of multi-touch surfaces. It was designed for the rapid development of table-based tangible user interfaces.

OCL stands for Open Cezeri Library (yet another linear algebra and matrix library). This library provides rapid coding as matlab ease of use. To learn for library please try to use test examples at OpenCezeriLibrary\test\test. It is originally developed at el-cezeri laboratory of Siirt University, in order to establish generic framework of reusable components and software tools for machine vision, machine learning, AI and robotic applications.

...The present release features GPU accelerated versions of all the background subtraction methods and morphological post processing of the object blobs with dilation and erosion filters, implemented in OpenCL. The framework was mainly designed as a toolkit for the rapid development of interactive art projects that explore dynamics of complex environments. The Scene GUI runs and compiles under Windows, Linux, and MacOS X, and is available in both 32 bit and 64 bit versions.

...It wraps computer vision algorithms into a simple, easy-to-use interface. TSPS was developed in openFrameworks for use in design, prototyping, and installed systems. We use TSPS for retail, fine arts installations, rapid prototyping, educational workshops, and provide the source openly for use in production. It builds on the backs of giants and our hope is that we can contribute ways to make it easier for beginners to explore computer vision while also providing a framework for experts to build off of.

library for rapid development of video processing, computer vision, and computer graphics algorithms

ImageNets is an computer vision and image processing extension to the OpenCV library for user-friendly programming of Robot Vision algorithms. ImageNets uses Qt by Nokia. ImageNets is ideal for education of image processing.