jinzhu6 Goto Github PK
Type: User
Type: User
Code to process terrestrial LIDAR data
The Dynamic version of Cotton Test
Published in the proceedings of IROS 2016 with the title "Generic 3D Obstacle Detection for AGVs Using Time-of-Flight Cameras".
Parallel GPU Implementation of Connected Component Labelling (CCL). Connected-component labeling is used in computer vision to detect connected regions in binary digital images
Final project for Computer Vision - detecting and counting boxes on a pallet
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被全球175所大学采用教学。
Convolutional Neural Networks
2019 第五届“四维图新”杯创新大赛 自动驾驶视觉综合感知 检测baseline
DCIC19 数字**峰会钢筋智能识别 第二名 代码
Haar training for defect detection problem (OBACHT, DESY)
深度学习论文阅读路线图
Deepin Wine for Ubuntu/Debian
Notes, Codes, and Tutorials for the Deep Learning Course <which I taught at ChinaHadoop>
缺陷检测初步设想
👷胶囊表面缺陷检测withTensorflow,主要检测了凹陷和缺失部分,涉及到GPU加速
Defect Pixel Correction based on median Filter processing. This Application made by Visual Studio 2008(VC9) using C++ and MFC
课程设计的作业,基于CNN对带瑕疵纱布分类
This is a matlab implementation of J.Park's work "High Quality Depth Map Upsampling for 3D-TOF Cameras" . We test our implementation with a TOF-Simulated.mat file, and our results is close to the original authors.
Trying to use DepthEye Camera ToF in Ros
intel RealSense 3D camera viewer for Linux
技术评审是衡量一个技术团队水平的重要标准之一,每个团队都在辛辛苦苦的耕耘着自己的那款产品,技术评审能够帮助团队在早期发现产品设计的缺陷和风险,并且在早期进行改进或者针对风险做预备方案,这较大程度的降低产品上线失败的风险,因此,技术评审在某些程度上决定了项目的成功与失败,这也是为什么每个技术团队应该沉淀出一套适合自己项目特点的技术评审方法论和流程,并且保证在每个项目中进行有效的应用技术评审流程,保证项目的顺利上线,减少项目失败的可能,并且能最大化的快速满足产品需求,包括功能需求和质量需求,由于互联网项目多具有大规模高并发性,技术评审更多关注项目的非功能质量,例如:高性能,高可用,可伸缩,可扩展,安全性等等。
Detecting position of sphere of specific radius in point cloud
机械毕设,用mfc基于opencv库开发的能够识别活塞环外观掉角、划痕的缺陷
Keep an Eye on Defects Inspection.
高总公司挤盂方向检测项目--mfc单文档+halcon+logger...
A position based visual servoing pipeline for mobile robot docking
3D Object Pose Estimation - ROS Kinetic Using Intel® RealSense D435
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.