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bgslibrary

A background subtraction library

binarynet

Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

bwn-xnor-caffe

Binary Weight Network and XNOR Network.

caffe

Caffe: a fast open framework for deep learning.

caffe-yolo

Caffe for YOLO

caffe-yolo-1

YOLO (Real-Time Object Detection) in caffe

caffe-yolo9000

Caffe for YOLO9000

darkflow

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

darknet

Convolutional Neural Networks

fast-xnor-net

Hopefully fast implementation of XNOR-Net in C, because, why not?

faster_rcnn

Faster R-CNN

faster_rcnn_pytorch

Faster RCNN with PyTorch

fasterrcnn-encapsulation-cplusplus

Encapsulation C++ version of FasterRCNN

fpga-cnn

FPGA implementation of Cellular Neural Network (CNN)

fpga_caffe

freesky

自由门最新7.61版下载/无界17.01a测试版/16.03正式版下载/自由门7.42专家版下载/赛风3下载--自由天空

listen1_desktop

one for all free music in china (Windows, Mac, Linux desktop)

mxnet-ssd

MXNet port of SSD: Single Shot MultiBox Object Detector. Reimplementation of https://github.com/weiliu89/caffe/tree/ssd

nonmaximumsuppression

非极大值抑制，包含了matlab，c,，c++，3种实现的代码，完美运行。并带c++，Matlab测试demo。所有程序都有详细的注释。GOOD LUCK!

noscope

r-fcn

R-FCN: Object Detection via Region-based Fully Convolutional Networks

rolo

ROLO is short for Recurrent YOLO, aimed at simultaneous object detection and tracking

xnor-net

xnor-net-1

XNOR-Net, CUDNN5 supported version of XNOR-Net-caffe: https://github.com/loswensiana/BWN-XNOR-caffe

xnor_net

This is a convolution neural network of binarized activations and weights.

yolo-9000

YOLO9000: Better, Faster, Stronger - Real-Time Object Detection. 9000 classes!

yolo-tf

TensorFlow implementation of the YOLO (You Only Look Once)

yolo2-pytorch

YOLOv2 in PyTorch

yolotflow

Tensorflow 0.12 Yolo Implementation

yolov2

YOLOv2のchainerの再現実装です(darknetのchainerローダと、完全なchainer上での訓練コードを含みます)