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2694048168/README.md

Typing SVG

Wei Li

  • 👋 Wei Li (黎 为) (Ithaca)
  • 🤔 Email: weili_yzzcq@163.com
  • ⚡ Blog: Wei Li Blog
  • 👯 the Internet of Things(IoT) Engineering for Bachelor's degree in SOFTWARE JXUFE
  • 😄 the New Generation Electronic Information Technology for Master's degree in SOFTWARE JXUFE
  • ⚡ Research in Image Super-Resolution & Low-Light Image Enhancement and Image Restoration
  • 💬 Technical points: Deep Learning, PyTorch & TensorFlow2, C++ & Python, Linux & LaTex
  • 🌱 Research area: Image Processing & Image Restoration, Computer Vision & Neural Networks, 3D Vision & Neural Rendering,
       Machine Vision & The Industrial Internet of Things

My skills

cpp cmake rust C-sharp git python pytorch tensorflow opencv vscode vs qt

Repos Per Language Most Commit Language Stats
Profile Details

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  1. C-and-C-plus-plus C-and-C-plus-plus Public

    采用Cpp从零开始构建神经网络-训练-推理;现代C++项目代码组织架构;VTK联合QT编程实现3D可视化渲染;结构体数据序列化存储为json配置文件或者图像数据序列化为二进制存储Protocol Buffers;Modern CPlusPlus Guide; The Modern C++ to solve real-world problems; CMake构建复杂工程项目、C/C++学习例…

    C++ 63 18

  2. IndustrialImageGenerator IndustrialImageGenerator Public

    模拟工业相机采集图像的软件, 支持自定义分辨率、像素精度、形状叠加和缺陷叠加.

    Python

  3. DeepLearningDeployment DeepLearningDeployment Public

    YOLO serials(YOLO26 and YOLOv11) Accelerate inference via TensorRT on CUDA device. Modern C++ and Python to Accelerate and Optimize Artificial Intelligence Models and Deep Neural Networks, and Depl…

    C++ 2

  4. ImagingAnalyzer ImagingAnalyzer Public

    成像分析器 ImagingAnalyzer, 针对工业相机成像进行图像分析和效果查看,输出成像质量和效果分析报告。

    Python

  5. Linux_OS Linux_OS Public

    Git 常用命令 and GitLab CICD配置,终端Shell和Linux常用操作,C++ & Python & CMake 编程中常用代码片段,VSCode技巧和配置,VS项目属性配置,Code Snippets,Unix and Linux Operating System and Command and Configurations,and VSCode tricks

    C++ 2

  6. ComputerVisionDeepLearning ComputerVisionDeepLearning Public

    Python Logging工程实践;SCI paper常用图形绘制;Computer Vision Tasks and Digital Image Processing Tasks with Deep Learning techs. 计算机视觉任务和图像处理任务,利用深度学习技术和图像处理技术,研究方向为图像超分辨率。QT for Python, PySide6

    Python 7 1