Pinned Repositories
accumulation
日常工作积累,用于平时工作参考资料。一、linux 1.java1.8的安装与卸载 2.tomcat8服务的安装与配置 3.mysql5.6服务的安装 4.nginx1.8.0服务的安装 5.redis与redis集群服务的安装 6.kafka服务的安装 7.keepalived服务的安装 8.Linux常用命令 9.zabbix监控系统安装步骤 10.Elasticsearch集群服务的安装 11.Keepalived+Nginx+Tomcat实现高可用Web服务(主备模式) 12.nginx及其依赖包升级步骤 13.nginx配置拦截URL特殊字符 14.使用docker部署springboot项目 15.docker安装nginx实现负载均衡.md 二、windows 1.java1.8环境的安装 2.tomcat8服务的安装与配置 3.mysql5.6服务的安装 4.redis与redis集群服务的安装 5.DBDocumentGenerator导出数据库字典的安装与使用 6.Maven的安装与配置 三、开发规范 1.开发注释规范 2.代码规范 3.MySql开发规范 四、避雷区 1.经验总结 2.文件检查 附件:学习资料 1.Java编程思想第四版完整中文高清版.pdf 2.Java企业级开发项目实践.pdf 3.Spring Boot参考指南.pdf 4.Spring实战第四版.pdf 5.锋利的jQuery第2版清晰版.pdf 6.跟我学Shiro-v1.1.pdf 7.设计模式之禅(第2版).pdf 8.Mindmanager2016
AMI-Netv2
A Tensorflow Implementation of AMI-Net+
ascii-image-converter
A cross-platform command-line tool to convert images into ascii art and print them on the console. Now supports braille art!
baidu-lane-detection-2019
百度Aistudio无人车车道线检测挑战赛/练习项目/Pytorch
Baidu_Lane_Segmentation
4th place solution in Baidu Autonomous Driving Lane Segmentation
BCS_results
Results for the paper "Detection of 3D Bounding Boxes of Vehicles Using Perspective Transformation for Accurate Speed Measurement"
brew
🍺 The missing package manager for macOS (or Linux)
CarND-Detect-Lane-Lines-And-Vehicles
Use segmentation networks to recognize lane lines and vehicles. Infer position and curvature of lane lines relative to self.
cbhxdyx
Config files for my GitHub profile.
LaneSegmentationNetwork
The deep semantic segmentation network for lane segmentation.
cbhxdyx's Repositories
cbhxdyx/pyv8-binaries
Archive of pre-compiled PyV8 binaries
cbhxdyx/pytorch-deeplab-xception
DeepLab v3+ model in PyTorch. Support different backbones.
cbhxdyx/MTCNN-Tensorflow
Reproduce MTCNN using Tensorflow
cbhxdyx/labelme
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
cbhxdyx/PYNQ
Python Productivity for ZYNQ
cbhxdyx/speedchallenge
The comma.ai Speed Prediction Challenge!
cbhxdyx/opencv
Open Source Computer Vision Library
cbhxdyx/keras-yolo3
A Keras implementation of YOLOv3 (Tensorflow backend)
cbhxdyx/deep_sort_yolov3
Real-time Multi-person tracker using YOLO v3 and deep_sort with tensorflow
cbhxdyx/dingtalk
钉钉桌面版,基于electron和钉钉网页版开发,支持Windows、Linux和macOS
cbhxdyx/AMI-Netv2
A Tensorflow Implementation of AMI-Net+
cbhxdyx/YOLOv3_TensorFlow
Complete YOLO v3 TensorFlow implementation. Support training on your own dataset.
cbhxdyx/Resource
一些资源
cbhxdyx/PedestrianDetectionSystem
Automatic pedestrian detection and monitoring system based on TensorFlow.基于TensorFlow的自动化行人检测(人体检测)和监控(视频监控)系统。
cbhxdyx/Faster-RCNN-TensorFlow-Python3
Tensorflow Faster R-CNN for Windows/Linux and Python 3 (3.5/3.6/3.7)
cbhxdyx/signature-recognition
A tensorflow siamese network implementation. Illustrated using singature recognition/identification.
cbhxdyx/deepin-wine-ubuntu
Deepin Wine for Ubuntu/Debian
cbhxdyx/LaneSegmentationNetwork
The deep semantic segmentation network for lane segmentation.
cbhxdyx/labelImg
:metal: LabelImg is a graphical image annotation tool and label object bounding boxes in images
cbhxdyx/Offline-signature-recognition-and-verification-using-SVM-and-RNN
cbhxdyx/LEDNet-1
This is an unofficial implemention of LEDNet https://arxiv.org/abs/1905.02423
cbhxdyx/convolutional-neural-network
Convolutional Neural Network with CUDA (MNIST 99.23%)
cbhxdyx/Lane-Segmentation-Solution-For-BaiduAI-Autonomous-Driving-Competition
Lane Segmentation Solution for Baidu AI PaddlePaddle Autonomous Driving Competition(1st Place)
cbhxdyx/Baidu_Lane_Segmentation
4th place solution in Baidu Autonomous Driving Lane Segmentation
cbhxdyx/YoutubeNet
recommendation system with Youtube Deep Net
cbhxdyx/human_counter
基于yolo3的人数统计程序
cbhxdyx/CarND-Detect-Lane-Lines-And-Vehicles
Use segmentation networks to recognize lane lines and vehicles. Infer position and curvature of lane lines relative to self.
cbhxdyx/OfflineSignatureVerification
Machine Learning based project for signature recognition by using the traits of Convolutional Neural Network (CNN)
cbhxdyx/signature-recognition-1
Verify authenticity of handwritten signatures through digital image processing and neural networks.