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monaimemoryefficientswish

Testing the memory consumption of memory efficient swish implementation in MONAI's Efficientnets

monaistream

The codebase is currently under active development.

monet-monailabel

Official PyTorch implementation for "Adaptive Multi-scale Online Likelihood Network for AI-assisted Interactive Segmentation" (MONet)

morpohologicalopeningopencl

OpenCL implementation of Morphological Opening using Von Neumann Neighbourhood

network-slimming

Network Slimming (Pytorch) (ICCV 2017)

noisytvopencv

Tv Noise Simulation using OpenCV

numpymaxflow

Numpy-based implementation of Max-flow/Min-cut (graphcut) for 2D/3D data

openclintroduction

Introduction to OpenCL - Code following the Video Tutorials at: https://youtu.be/YU_pRT-Be0c?list=PLzy5q1NUJKCJocUKsRxZ0IPz29p38xeM-

opencllib

C++ wrapper class implementation for easy access o OpenCL for image processing

opencv3-vc10

Binaries for OpenCV 3.0 - Visual Studio 2010 - Includes both x64 and x86

opencvfacetracking

Simple Face Detection using Viola Jones and Particle Filter tracking

opencvgmm

Implementation of Gaussian Mixture Model using Expectation Maximization in OpenCV

opencvkinect

Provides method to access Kinect Color and Depth Stream in OpenCV Mat format.

opencvparticlefilter

Particle Filter Framework Implementation using OpenCV C++

opencvpythonfacedetection

opencvrandomforest

Implementation of Multi-variate Random Forest using OpenCV

opencvtomatlabdebug

A light weight debugger for use with OpenCV C++ app dev - gives access to send data to Matlab and execute commands/ scripts from within C++ code

opencvwithmex

Helper libraries for using OpenCV function call for realtime perfoamce with Matlab Mex

operafixubuntu18

Fix for opera html5 video in Ubuntu18

particlefiltermatlab

Particle Filtering Example for Matlab

pimontecarlo

Monte Carlo for estimating Pi (OpenCV)

pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

propel

Official PyTorch implementation for "PROPEL: Probabilistic Parametric Regression Loss for Convolutional Neural Networks"

python-engineer-notebooks

pytorch_cuda90

Cuda 9.0 pytorch installation links

pytorch_segmentation

pytorchcpucudaextension

A standalone example of having a pytorch extension that dynamically selects between cpu/cuda code

pytorchhaarfeatures

Efficient implementation of Haar-Like features for 2d and 3d inputs in PyTorch (supports both GPU/CPU)

pytorchsamepaddingexplainer

pytorchzerotoall

Simple PyTorch Tutorials Zero to ALL!