140 Open source projects that are alternatives of or similar to Spynet

Volumetric Correspondence Networks for Optical Flow, NeurIPS 2019.

Tensorflow Implementation of Large-Scale Learnable Graph Convolutional Networks (LGCN) KDD18

ROS Error-State Kalman Filter based on PX4/ecl. Performs GPS/Magnetometer/Vision Pose/Optical Flow/RangeFinder fusion with IMU

Unsupervised Learning of Multi-Frame Optical Flow with Occlusions

Dockerfile and runscripts for FlowNet 2.0 (estimation of optical flow)

The main abnormal behaviors that this project can detect are: Violence, covering camera, Choking, lying down, Running, Motion in restricted areas. It provides much flexibility by allowing users to choose the abnormal behaviors they want to be detected and keeps track of every abnormal event to be reviewed. We used three methods to detect abnorma…

Image Captioning: Implementing the Neural Image Caption Generator with python

Simple implementation of the LSUV initialization in keras

A convolutional neural network from scratch

BriefMatch real-time GPU optical flow

Optical Flow estimation in pure Python

📚 记录一些自己读过的论文与笔记

This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"

PWC-Network with TensorFlow

Using Tensorflow to classify the NIST Dataset 19 (Handwriting)

Multi-stream CNN architectures for action detection with actor-centric filtering

Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.

An implementation of several tracking algorithms based on Lucas Kanade algorithms

A method about optimizing the facial landmark detection based on Kalman Filter, Optical Flow and Dlib

Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).

Shallow Optical Flow Three-Stream CNN For Macro and Micro-Expression Spotting From Long Videos

CNN visualization tool in TensorFlow

Compute dense optical flow using TV-L1 algorithm with NVIDIA GPU acceleration.

Reference caffe implementation of LSUV initialization

Face Detection and tracking using CamShift, Kalman Filter, Optical Flow

Evaluation of the CNN design choices performance on ImageNet-2012.

ROS package for Correlation Flow (ICRA 2018)

Semi-Supervised Video Object Segmentation (VOS) with Tensorflow. Includes implementation of *MaskRNN: Instance Level Video Object Segmentation (NIPS 2017)* as part of the NIPS Paper Implementation Challenge.

Deep Learning Specialization Course by Coursera. Neural Networks, Deep Learning, Hyper Tuning, Regularization, Optimization, Data Processing, Convolutional NN, Sequence Models are including this Course.

Fast, accurate and easy to run dense optical flow with python wrapper

TensorFlow implementation for "Guided Optical Flow Learning"

Paper Lists for Graph Neural Networks

PyTrx is a Python object-oriented programme created for the purpose of calculating real-world measurements from oblique images and time-lapse image series. Its primary purpose is to obtain velocities, surface areas, and distances from oblique, optical imagery of glacial environments.

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

Implementation details for EDANet

Repository for different network models related to flow/disparity (ECCV 18)

Extract video features from raw videos using multiple GPUs. We support RAFT and PWC flow frames as well as S3D, I3D, R(2+1)D, VGGish, CLIP, ResNet features.

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

Every Pixel Counts ++: Joint Learning of Geometry and Motion with 3D Holistic Understanding

Stringlifier is on Opensource ML Library for detecting random strings in raw text. It can be used in sanitising logs, detecting accidentally exposed credentials and as a pre-processing step in unsupervised ML-based analysis of application text data.

Caffe implementation for "Guided Optical Flow Learning"

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

Official repository of Learning Multi-Human Optical Flow (IJCV 2019)

Collection of papers, datasets, code and other resources for object tracking and detection using deep learning

Optical Flow Dataset and Benchmark for Visual Crowd Analysis

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

Implementation of "EPIC-Fusion: Audio-Visual Temporal Binding for Egocentric Action Recognition, ICCV, 2019" in PyTorch

micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape

[MICCAI'18] Joint Learning of Motion Estimation and Segmentation for Cardiac MR Image Sequences

Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation

I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers

Dense Matching Benchmark

Curated Tensorflow code resources to help you get started with Deep Learning.

Frame-Recurrent Video Super-Resolution (official repository)

Deep Learning Specialization courses by Andrew Ng, deeplearning.ai

High-quality Neural Networks for Computer Vision 😎

Object classification with CIFAR-10 using transfer learning

doing audio digital signal processing in tensorflow to try to recreate digital audio effects

TOFlow: Video Enhancement with Task-Oriented Flow