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activitynet

2016 ActivityNet action recognition challenge. CNN + LSTM approach. Multi-threaded loading.

activityrecognition

Information about activity recognition

anet2016-cuhk

Action Recognition Toolbox for CUHK&ETHZ&SIAT submission to ActivityNet 2016

autoware

Open-source software for urban autonomous driving

avcamera

一款家用安全防盗监控软件，无需额外购买昂贵的CCD监控摄像头，只需普通电脑视频聊天用的CMOS摄像头即可。

avplayer

一个基于FFmpeg、libtorrent的P2P播放器实现

behavioral_cloning

benchmark_results

visual tracker benchmark results

caffe

A fork of Caffe with OpenMPI-based Multi-GPU (mainly data parallel) support for action recognition and more. More documentation please see the original readme.

caffe-enet

caffe-mobilenet

A caffe implementation of mobilenet's depthwise convolution layer.

caffe-python-tutorial

A Basic Tutorial to learning Caffe with Python, including two examples for classification and detection, and codes to train, test, prune and compress Net.

caffe-regression

caffe-regression examples ,kaggle face keypoint detection

caffe-segnet

Implementation of SegNet: A Deep Convolutional Encoder-Decoder Architecture for Semantic Pixel-Wise Labelling

caffe_dev

try to add weighted loss layer

cityscapesscripts

README and scripts for the Cityscapes Dataset

cnnforandroid

The Convolutional Neural Network(CNN) for Android

cs231n.github.io

Public facing notes page

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deep-visualization-toolbox

DeepVis Toolbox

depthwiseconvolution

A personal depthwise convolution layer implementation on caffe by liuhao.(only GPU)

dlib

A toolkit for making real world machine learning and data analysis applications in C++

easydarwin

OPEN：高性能开源流媒体服务器，支持RTSP、RTMP、HLS直播，支持分布式云平台架构，目前EasyDarwin云平台已经发展到v1.1版本

enet

ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

face-resources

faster_rcnn

Faster R-CNN

ffmpegsharp

FFMpegSharp is a great way to use FFMpeg encoding when writing video applications, client-side and server-side. It has wrapper methods that allow conversion to all web formats: MP4, OGV, WebM and methods of capturing screens from the videos.

gebvideoffmpeg

Geb.Video.FFMPEG is a simple .net wrapper of ffmpeg, it is modified from AForge.Video.FFMPEG

goturn

Source code for paper: Learning to Track at 100 FPS with Deep Regression Networks, Held, et al. ECCV 2016

home_surveillance

Home surveillance system with facial recognition