Pinned Repositories
ai-edu
AI education materials for Chinese students, teachers and IT professionals.
Algorithm_Interview_Notes-Chinese
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
Autoware
Open-source software for self-driving vehicles
awesome-object-detection
Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html
Awesome-Python-Tools
一些平时自用的自编Python脚本
benchmark_results
visual tracker benchmark results
C
All Algorithms implemented in C
caffe
Caffe on both Linux and Windows
centerface
cnn_classify
Using cnn to classify if person has glasses.
cyhgxu's Repositories
cyhgxu/Sheas-Cealer
Just Ceal It (可用于无代理合法抵御网络监听和开展网络研究)
cyhgxu/Awesome-Python-Tools
一些平时自用的自编Python脚本
cyhgxu/License-Plate-Detector
基于Yolov5车牌检测,更快更准.
cyhgxu/TNN
TNN: developed by Tencent Youtu Lab and Guangying Lab, a lightweight and high-performance deep learning framework for mobile inference. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework. TNN：由腾讯优图实验室和光影实验室协同打造，移动端高性能、轻量级推理框架，同时拥有跨平台、高性能、模型压缩、代码裁剪等众多突出优势。TNN框架在原有Rapidnet、ncnn框架的基础上进一步加强了移动端设备的支持以及性能优化，同时也借鉴了业界主流开源框架高性能和良好拓展性的优点。目前TNN已经在手Q、微视、P图等应用中落地，欢迎大家参与协同共建，促进TNN推理框架进一步完善。
cyhgxu/C
All Algorithms implemented in C
cyhgxu/mobile-lpr
Mobile-LPR 是一个面向移动端的准商业级车牌识别库，以NCNN作为推理后端，使用DNN作为算法核心，支持多种车牌检测算法，支持车牌识别和车牌颜色识别。
cyhgxu/FaceMaskDetection
开源人脸口罩检测模型和数据 Detect faces and determine whether people are wearing mask.
cyhgxu/lane_detection
cyhgxu/caffe
Caffe on both Linux and Windows
cyhgxu/YOWO
cyhgxu/centerface
cyhgxu/Detectron
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
cyhgxu/Ultra-Light-Fast-Generic-Face-Detector-1MB
💎 一款超轻量级通用人脸检测模型（模型文件大小仅1MB，320x240输入下计算量仅90MFlops）适用于边缘计算设备、移动端设备以及PC
cyhgxu/ncnn
ncnn is a high-performance neural network inference framework optimized for the mobile platform
cyhgxu/awesome-object-detection
Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html
cyhgxu/imageBed
cyhgxu/EdgeNets
This repository contains the source code of our work on designing efficient CNNs for computer vision
cyhgxu/CSP
High-level Semantic Feature Detection: A New Perspective for Pedestrian Detection, CVPR, 2019
cyhgxu/DS
cpp deep_sort: C++ implementation of Simple Online Realtime Tracking with a Deep Association Metric
cyhgxu/ai-edu
AI education materials for Chinese students, teachers and IT professionals.
cyhgxu/Python-100-Days
Python - 100天从新手到大师
cyhgxu/VisualTracking
object Tracking, correlation filter,deep learning
cyhgxu/GAAS
Open source autonomy flight and operation control system. Designed for autonomous drone and self-flying car(VTOL).
cyhgxu/pumpkin-book
《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book
cyhgxu/pytorch_model_zoo
cyhgxu/DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，近30万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
cyhgxu/ZQCNN-MTCNN-vs-libfacedetection
对比ZQCNN-MTCNN与libfacedetection
cyhgxu/libfacedetection
An open source library for face detection in images. The face detection speed can reach 1500FPS.
cyhgxu/Autoware
Open-source software for self-driving vehicles
cyhgxu/Algorithm_Interview_Notes-Chinese
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记