fjfabz Goto Github PK
Type: User
fjfabz's Projects
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行人检测与跟踪(hog+svm kcf)
adminset
自动化运维平台：CMDB、CD、DevOps、资产管理、任务编排、持续交付、系统监控、运维管理、配置管理
aleth
Aleth – Ethereum C++ client, tools and libraries
alize
ALIZE biometric libraries.
alize-core
The core library of ALIZE, providing low-level functions (I/O and Gaussians).
alsaplayer
AlsaPlayer
alsasoundmeter
Simple Linux sound meter based on ALSA API
android-alize
ALIZE for the Android platform.
android-voice-identification-app-using-spro-alize-liaral
This is an Android application that performs voice identification using open source code SPRO for feature extraction and ALIZE/LIARAL for voice normalization and energy extraction
apollo
阿波罗开源
apollo-coding
基于正点原子阿波罗STM32F429学习
arcade-learning-environment
The Arcade Learning Environment (ALE) -- a platform for AI research.
asr-music
Content of the research project on ASR in music. This repository contain the Kaldi's recipe and the explanation of how to use it.
asr_kaldi_dnn_chinese
基于Kaldi的小词汇量汉语语音识别，使用DNN训练
autorccar
OpenCV Python Neural Network Autonomous RC Car
auvai
海康威视2018软件精英挑战赛
awesome-c-cn
C 资源大全中文版，包括了：构建系统、编译器、数据库、加密、初中高的教程/指南、书籍、库等。
awesome-hacking
收集整理的黑客工具A collection of various awesome lists for hackers, pentesters and security researchers https://github.com/Hack-with-Github
awesome-ocr
A curated list of promising OCR resources
baidumap-trafficassistant
该项目是基于百度地图SDK开发的一款交通助手App，目前已经上线豌豆荚、魅族应用市场、搜狗手机助手等多个安卓应用市场。希望各位开发者为该项目贡献自己的code力量。This Android App is based on BaiduMap SDK called TrafficAssistant.At present,the app is sold on Peasecod,Meizu App Market,Sougou Assistant. I hope developers could contribute your nice code to this app.
bazel
a fast, scalable, multi-language and extensible build system
bazel-cmakelists
Convert Bazel C++ targets to CMakeLists for IDEs
bazel-toolchain
LLVM toolchain for bazel
bmw4s-lpr
宝马4S店 海康摄像头 车牌识别
c2go
⚖️ A tool for transpiling C to Go.
caffe_ocr
主流ocr算法研究实验性的项目，目前实现了CNN+BLSTM+CTC架构
camera
视频监控系统-被监控端
camerasdk
Android多图选取,滤镜,贴纸,裁剪等类似美图秀秀的功能
cameraviewer
视频监控系统-监控端
char-rnn-tensorflow
Multi-language Char RNN for TensorFlow >= 1.2.
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