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Name: LinggenWu

Type: User

Bio: I am a student majored in computer science

LinggenWu's Projects

libfacedetection

An open source library for face detection in images. The face detection speed can reach 1500FPS.

license-plate-detect-recognition-via-deep-neural-networks-accuracy-up-to-99.9

works in real-time with detection and recognition accuracy up to 99.8% for Chinese license plates: 100 ms/plate

light-lpr

Light-LPR是一个瞄准可以在嵌入式设备、手机端和普通的x86平台上运行的车牌识别开源项目，旨在支持各种场景的车牌识别,车牌字符识别准确率超99.95%，综合识别准确率超过99%，支持目前国内所有的车牌识别，觉得好用的一定要加星哦。

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

match

:crystal_ball: Scalable reverse image search built on Kubernetes and Elasticsearch

ml-nlp

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

mobilenet-ssd-license-plate-detection

基于mobilenet-ssd车牌检测

models

Models and examples built with TensorFlow

mytotal

个人收藏及总结，包括各个方向，囊括算法，数据结构，编程语言，操作系统，机器学习及深度学习，分布式系统，大数据处理，学习资源及方法总结．

opentld

OpenTLD is an open source library for real-time 2D tracking of a single object in video. This repository is no longer under development. For latest version see: http://www.tldvision.com/tld2.html

orb_slam2

Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities

ps-dataset

PhotoSynth Dataset for improving local patch Descriptors

pysot

SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.

python-pcl

Python bindings to the pointcloud library (pcl)

pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

pytorch-yolov3

Minimal PyTorch implementation of YOLOv3

A cross-platform multimedia framework based on Qt and FFmpeg(https://github.com/wang-bin/avbuild). High performance. User & developer friendly. Supports Android, iOS, Windows store and desktops. 基于Qt和FFmpeg的跨平台高性能音视频播放框架

r-fcn

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

rcnn-vehicle-tracking-lane-detection

Vehicle Detection using Mask R-CNN and Computer Vision based Lane Detection

road_lane_line_detection

Find lane lines on the road using Python and OpenCV, applying Canny edge detectors and Hough line transforms

rubost-chinese-license-plate-locate-using-lbp-adaboost-with-cnn-regression

LBP级联+CNN 回归定位车牌

runwaylanedetection

This code uses hough transform to find the lanes of runway and further does thresholding by finding two largest lines from the detected lines. These lines represent the runway.

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