stivensss's repositories
lihang_algorithms
用python和sklearn两种方法实现李航《统计学习方法》中的算法
Face_Recognition_Client
人脸识别客户端
FAVOS
Demo code of the paper "Fast and Accurate Online Video Object Segmentation via Tracking Parts", in CVPR 2018
mobilenet_ssd_pedestrian_detection
Mobilenet SSD based pedestrian detection
DevilYuan
DevilYuan股票量化系统
FaceDlibOpencv
Android端的基于OpenCV和Dlib的图片、视频人脸检测和人脸识别
Face-recognition-door-lock-in-raspberry-pie
基于树莓派的人脸识别解锁门锁设计
lihang_book_algorithm
致力于将李航博士《统计学习方法》一书中所有算法实现一遍
weixin-xiaochengxu666-info
微信小程序开发框架、资源-干货汇总
LaTeX-Template-Cn
\LaTeX 中文模版收集。
Raspberry-Pi-Awesome
(In Progress) The goal of this repo is to have simple, easy-to-use scripts to get a Raspberry Pi ready for all kinds of awesome (Face Recognition, Open CV, Dlib, Django, and more).
google-images-download
Python Script to download hundreds of images from 'Google Images'. It is a ready-to-run code!
pam_python
Add two factor authentication to PAM via privacyIDEA
Caffe-MobileNetV2-ReLU6
Caffe implementation of ReLU6 Layer
impl-pruning-TF
Implementation of "Iterative pruning" on TensorFlow
facekey
Python script to unlock your Linux desktop with your face.
VGG_ILSVRC_16_layers
VGG_ILSVRC_16_layers
ganhacks
starter from "How to Train a GAN?" at NIPS2016
compress_yolo
对yolo模型进行网络压缩、修剪等实验
pam-python-ipcpu
fork from https://sourceforge.net/projects/pam-python ,a linux pam module that you can define your own pam with python scripts. Add examples for 2 factor authentication.
pruning_with_tensorflow
I demonstrate how to compress a neural network using pruning in tensorflow.
homeassistant
Home Assistant Development
mtcnn
基于caffe的mtcnn训练实现，可以训练一个自己的有效的目标检测算法，非常容易非常简单，并且有配套的纯c++版本的mtcnn-light
DepthwiseConvolution
A personal depthwise convolution layer implementation on caffe by liuhao.(only GPU)
make_VOC2007
制作自己的VOC2007数据集用于faster-rcnn目标检测模型训练
docker-StackGAN
Docker image for hanzhanggit/StackGAN
caffe-ssd-docker
Dockerfile for SSD version of Caffe using OpenCV 3.2
RaspberryWechatPi
基于树莓派的智能家居控制平台 微信服务端 发布版
singleNet_Windows
single login program for windows