daetz-coder / Metal_Surface_DefectsLinks
金属表面缺陷检测类的实践项目
☆10Updated 2 years ago
Alternatives and similar repositories for Metal_Surface_Defects
Users that are interested in Metal_Surface_Defects are comparing it to the libraries listed below
Sorting:
- 基于YOLOv7的芯片表面缺陷检测系统(源码&教程)☆50Updated last year
- yolo master 本课程主要对yolo系列模型进行介绍,包括各版本模型的结构,进行的改进等,旨在帮助学习者们可以了解和掌握主要yolo模型的发展脉络,以期在各自的应用领域可以进一步创新并在自己的任务上达到较好的效果。☆183Updated 2 weeks ago
- 深度学习中各种即插即用小模块☆421Updated last year
- 本仓库提供了使用PyTorch进行深度学习的最佳实践,从深度学习环境搭建与张量基础入手,从0到1构建和训练神经网络,通过优化促进模型的收敛和更好的效果,同时着力于深度架构落地实践,最后通过一线CV(和NLP)企业级应用提升实战能力。项目以Jupyter Notebook为主…☆124Updated 2 years ago
- 本仓库将使用Pytorch框架实现经典的图像分类网络、目标检测网络、图像分割网络,图像生成网络等,并会持续更新!!!☆254Updated last year
- This project organizes classic images classification neural networks based on convolution or attention, and writes training and inference…☆196Updated 6 months ago
- a collection of computer vision projects&tools. 计算机视觉方向项目和工具集合。☆284Updated last year
- XML to JSON, XML to TXT, JSON to XML, TXT to XML and label edit in computer vision☆121Updated 2 years ago
- 基于深度学习的热轧带钢表面缺陷自动检测技术☆44Updated 3 years ago
- 改进Unet的新冠肺炎CT影像病灶分割系统(部署教程和源码)☆22Updated last year
- 这是DT-AI的学习路线开源版本,欢迎大家享用!对新手友好☆168Updated last year
- 该资源为作者《Python中的图像处理》书籍所有源代码,已修改为Python3实现,希望对您有所帮助,一起加油。☆219Updated 3 years ago
- 北京印刷学院人工智能大赛深度学习组作品_基于深度学习的新冠肺炎检测系统☆9Updated last year
- 基于Pytorch的图像分类框架☆94Updated 5 months ago
- Image augmentation for object detection, segmentation and classification☆675Updated last year
- AidLux手机部署人工智能算法☆55Updated last year
- Jupyter notebook tutorials for MMSegmentation☆638Updated last year
- 整理分类深度学习各方向公开数据集☆246Updated last year
- Self Introduction about TommyZihao☆350Updated 2 years ago
- Object detection learning path☆82Updated 3 years ago
- This YOLOv5🚀😊 GUI road sign system uses MySQL💽, PyQt5🎨, PyTorch, CSS🌈. It has modules for login🔑, YOLOv5 setup📋, sign recognitio…☆217Updated last year
- 集yolov5、centernet、unet算法的pyqt5界面,可实现图片目标检测和语义分割☆171Updated 2 years ago
- YOLOv8 PySide页面 💖☆255Updated 4 months ago
- This project is about detecting defects on steel surface using Unet. The dataset used for this project is the NEU-DET database.☆113Updated 4 years ago
- PySide6 implementation of YOLOv7 GUI☆80Updated 2 years ago
- Small Object Detection Algorithm Incorporating Swin Transformer for Tea Buds☆252Updated last year
- 图像处理、机器学习的常用算法汇总☆59Updated 2 years ago
- ☆83Updated last year
- 简易的yolo半自动标注库,目前只支持单目标。如果数据集图片背景复杂,可能工作量不比直接标的小,因为sam是通用的分割模型。但是可以适当通过调整参数修改。☆131Updated 2 years ago
- 使用Pyqt5搭建YOLO系列多线程目标检测系统☆62Updated 2 years ago