Pytorch Implementation of QATM:Quality-Aware Template Matching For Deep Learning

基于MySQL + Node.js + Leaflet的离线地图展示，支持百度、谷歌、高德、腾讯地图

使用RTL-SDR或HackRF等设备接收并解调AIS信号

Convolutional Neural Networks

This repository contains code and dataset for the task crack segmentation using two architectures UNet_VGG16, UNet_Resnet and DenseNet-Tiramusu

Translations of TensorFlow documentation

Keras documentation, hosted live at keras.io

Open source surveillance software

Source code for OpenGL Insights

Spatial Temporal Graph Convolutional Networks (ST-GCN) for Skeleton-Based Action Recognition in PyTorch

Multi-person real-time recognition (classification) of 9 actions based on human skeleton from OpenPose and a 0.5-second window.

Just to store some images and gifs

A skeleton-based real-time online action recognition project, classifying and recognizing base on framewise joints, which can be used for safety surveilence.

https://www.machinelearningplus.com/time-series/arima-model-time-series-forecasting-python/

Real-time pose estimation and action recognition

Fast, modular reference implementation and easy training of Semantic Segmentation algorithms in PyTorch.

Semantic Segmentation Architectures Implemented in PyTorch

This review contains some action recognition methods.

LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)

segmentation repo using pytorch

Forecast using R language. The problems are from 'Forecasting: Principles and Practice(2nd ed.)'.

Implementation of the model used in the paper Protest Activity Detection and Perceived Violence Estimation from Social Media Images (ACM Multimedia 2017)