Search Results for "real-time convolution"
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Showing 17 open source projects for "real-time convolution"
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Make-A-Video - Pytorch (wip)
Implementation of Make-A-Video, new SOTA text to video generator
... points would easily apply to Imagen), make a few minor modifications for attention across time and other ways to skimp on the compute cost, do frame interpolation correctly, get a great video model out. Passing in images (if one were to pretrain on images first), both temporal convolution and attention will be automatically skipped. In other words, you can use this straightforwardly in your 2d Unet and then port it over to a 3d Unet once that phase of the training is done. -
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Pytorch-toolbelt
PyTorch extensions for fast R&D prototyping and Kaggle farming
A pytorch-toolbelt is a Python library with a set of bells and whistles for PyTorch for fast R&D prototyping and Kaggle farming. Easy model building using flexible encoder-decoder architecture. Modules: CoordConv, SCSE, Hypercolumn, Depthwise separable convolution and more. GPU-friendly test-time augmentation TTA for segmentation and classification. GPU-friendly inference on huge (5000x5000) images. Every-day common routines (fix/restore random seed, filesystem utils, metrics). Losses... -
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T81 558
Applications of Deep Neural Networks
... structures, Convolution Neural Networks (CNN), Long Short-Term Memory (LSTM), Gated Recurrent Neural Networks (GRU), General Adversarial Networks (GAN) and reinforcement learning. Application of these architectures to computer vision, time series, security, natural language processing (NLP), and data generation will be covered. High-Performance Computing (HPC) aspects will demonstrate how deep learning can be leveraged both on graphical processing units (GPUs), as well as grids. -
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BoofCV
BoofCV is an open source Java library for real-time computer vision.
BoofCV is an open source Java library for real-time computer vision and robotics applications. Written from scratch for ease of use and high performance, it provides both basic and advanced features needed for creating a computer vision system. Functionality include optimized low level image processing routines (e.g. convolution, interpolation, gradient) to high level functionality such as image stabilization. Released under an Apache 2.0 license for both academic and commercial use. -
This means every device on your network, and every interface on every device is automatically analyzed for performance, errors, QoS, and configuration.
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Pytorch Points 3D
Pytorch framework for doing deep learning on point clouds
... practitioners to efficiently pursue research into point cloud analysis, with the end goal of building models which can be applied to real-life applications. Task driven implementation with dynamic model and dataset resolution from arguments. Core implementation of common components for point cloud deep learning - greatly simplifying the creation of new models. 4 Base Convolution base classes to simplify the implementation of new convolutions. Each base class supports a different data format. -
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PyTorch SimCLR
PyTorch implementation of SimCLR: A Simple Framework
For quite some time now, we know about the benefits of transfer learning in Computer Vision (CV) applications. Nowadays, pre-trained Deep Convolution Neural Networks (DCNNs) are the first go-to pre-solutions to learn a new task. These large models are trained on huge supervised corpora, like the ImageNet. And most important, their features are known to adapt well to new problems. This is particularly interesting when annotated training data is scarce. In situations like this, we take the models... -
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DRC generates digital room correction FIR filters to be used within HiFi systems in conjunction with real time convolution engines like BruteFIR.
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Batch PIE
A batch pipelined image editor
Current filter functionality: - Simple editing options: Image cropping, resizing, rotation, Color brightness curve alignment - Histobram processing: Convolution, statistics (e. g. f_max or median analysis) - Image segmentation: The actual segmentation process as well as group weight calculation for further filtering (both functions rely on self defined custom dynamic mathematical functions) - Dynamic mathematical functions for custom and automated image filtering: General... -
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rePhase
A loudspeaker phase linearization, EQ and filtering tool
..., ...), stereo or multi-way convolution engine. Project page: https://rephase.org Changelog: https://rephase.org/changelog.html Support: https://www.diyaudio.com/forums/multi-way/221434-rephase-loudspeaker-phase-linearization-eq-fir-filtering-tool.html -
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Acoustic Research Tool (ART)
Acoustic Simulation Library for Frequency and Time Domain Simulations.
ART is a flexible simulation framework for wind instruments. It includes a growing library of modelling elements. So far bore discontinuities, branches, tone holes, cylindrical and conical tubes, Bessel horns and bent tubes are available for frequency domain modelling. In the time domain generic bidirectional propagation elements, scattering elements, fractional delays, convolution with reflection functions and general z-domain networks are available and can be described using MuParserX... -
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tracking.js
A modern approach for Computer Vision on the web
The tracking.js library brings different computer vision algorithms and techniques into the browser environment. By using modern HTML5 specifications, we enable you to do real-time color tracking, face detection and much more, all that with a lightweight core (~7 KB) and intuitive interface. To get started, download the project. This project includes all of the tracking.js examples, source code dependencies you'll need to get started. Unzip the project somewhere on your local drive. The package... -
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hsfft
FFT and Convolution in C
A simple, straightforward complex FFT Implementation in C/C++. It is designed to give good performance for non-power of length 2 FFTs. Only 1D , unit-stride implementation for singe core processors available as of now. USAGE HSFFT is designed specifically to handle time series data efficiently. The software is structured very similarly to available open source softwares like FFTW and kissfft. The data structure is almost identical to Mark Borgerding's kissfft implementaion. However... -
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SmoothLife
A generalization of Conway's Game of Life
Conway's Game of Life is generalized to a continuous domain. OpenGL and GLSL shaders are used for real-time 2D and 3D graphics. Time stepping is done via a real to complex FFT based convolution operation. There are also two deliberately simple test implementations in FreeBasic and Matlab. A 2D version on a sphere shows that it is really not dependent on the underlying grid. -
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sigMan is a utility for the analysis of time-dependent signals, especially electropherogram/chromatogram data. It is no longer being actively updated or maintained by me (Nathan Cermak) as of January 2011, for lack of any users.
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The Real-Time Sound Convolver for Windows aims at providing real-time convolution of sound, based on a user-created impulse response. Windows device driver developper needed (see Home Page)
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The Mimas Toolkit is a C++ real-time computer vision library. Algorithms include edge/corner-detection, object recognition/tracking, LSI-filters, segmentation, array-operators, convolution etc. OO wrappers for LAPACK, libxine, V4L, FFTW are provided.
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Fully playable Java game demo illustrating basic game programming technics, such as sprite animation, pixmap fonts, time or frame related game loop, affine transformations, convolution filters, sound generation and playback...
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