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flownet2.tf

Off-the-shelf FlowNet module in TensorFlow-1.2.0

flownet3d

FlowNet3D: Learning Scene Flow in 3D Point Clouds (CVPR 2019)

forza-painter

get3d

google-research

Google Research

idea-net

imagebasedmodalanalysistutorial

High speed camera (or image) based experimental modal analysis

instant-ngp-windows

Instant neural graphics primitives: lightning fast NeRF and more

keras-fasterrcnn

keras implementation of Faster R-CNN

keras-frcnn

keras-frcnn-web

使用keras建立faster rcnn网络，训练完成后，将识别接口释放为rest，方便后端调用

keras_cnn_image_classification

A image classification model based on Keras

keras_frcnn

Keras Implementation of faster-rcnn

kms-activator

Windows activation research project.

lcnn

LCNN: End-to-End Wireframe Parsing

lightflow-tensorflow

Implementation of Optical Flow predictions throught deep learning using LightFlow architecture proposed in https://arxiv.org/pdf/1804.05830.pdf

line-detection-using-cnns

Detecting lines in binary edge-image using CNNs

liquid_time_constant_networks

Code Repository for Liquid Time-Constant Networks (LTCs)

liteflownet

LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation, CVPR 2018 (Spotlight paper, 6.6%)

liteflownet2

A Lightweight Optical Flow CNN - Revisiting Data Fidelity and Regularization, TPAMI 2020

mae-pytorch

Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners

model-angelo

Automatic atomic model building program for cryo-EM maps

motion-detection-using-optical-flow-estimation

The purpose of this project was to capture moving objects in a video sequence using sparse and dense optical flow methods. The final build can compute motion patterns of corners, edges (namely features), and also global pixels in consecutive image frames of different visual scenes and then draw them in corresponding bounding boxes.

motion-estimation-using-speeded-up-robust-features-surf-and-oriented-fast-rotated-brief-orb-

motion-tracking

In this project, motion tracking is implemented in videos using a particle filter and a kalman filter. Target lock is also available.

motionamp

implementation of a phase-based video motion processing algorithm in python

neataptic

:rocket: Blazing fast neuro-evolution & backpropagation for the browser and Node.js

nerf-pytorch

A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.

nerf_pl

NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning

nodes2021_kg_workshop