malakar-soham / cnn-in-weldingLinks
Detecting Faults and Measuring Severity in Welding using Radiographic Images
☆51Updated 4 years ago
Alternatives and similar repositories for cnn-in-welding
Users that are interested in cnn-in-welding are comparing it to the libraries listed below
Sorting:
- This is a deep learning application project in the industrial field, intended to detect defects on the workpiece surface. The code is bas…☆82Updated 5 years ago
- 👷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☆119Updated 4 years ago
- This is a Saliency detection toolbox Specially designed for surface defect detection.☆184Updated 2 years ago
- ☆24Updated 7 years ago
- This repo contains data pre-processing, classification and defect detection methodologies for images from Advance XRay Inspection from mu…☆55Updated 3 years ago
- Segmentation-Based Deep-Learning Approach for Surface-Defect Detection☆26Updated 4 years ago
- Implementation of the paper: Defect Detection in Plain Weave Fabrics by Yarn Tracking and Fully Convolutional Networks☆66Updated 4 years ago
- Image segmentation☆19Updated 5 years ago
- 本项目用深度学习的方法进行工业产品缺陷检测,替代原本人眼的产品质检。从而大幅提升 工业产品合格率和降低人力成本。☆150Updated 5 years ago
- LF-YOLO (Lighter and Faster YOLO) is used to detect defect of X-ray weld image.☆60Updated 11 months ago
- 玻璃绝缘子缺陷检测☆33Updated 4 years ago
- Surface Defect Detection with Segmentation-Decision Network on KolektorSDD☆137Updated 4 years ago
- Visual Defect Detection on Boiler Water Wall Tube Using Small Dataset☆122Updated last year
- defect detection algorithm☆140Updated 2 years ago
- Implementation of automatic computer-aided identification system to recognize different types of welding defects in radiographic images w…☆25Updated 3 years ago
- ☆24Updated 6 years ago
- generate randomly defects on positive samples and restore them with GAN.☆40Updated 4 years ago
- 借助于Ascend310 AI处理器完成深度学习算法部署任务,应用背景为变电站电力巡检,基于YOLO v4算法模型对常见电力巡检目标进行检测,并充分利用Ascend310提供的DVPP等硬件支持能力来完成流媒体的传输、处理等任务,并对系统性能做出一定的优化。☆30Updated 4 years ago
- Detecting objects from camera or local video files vi qt and yolo.☆24Updated 6 years ago
- 支持多模型工程化的图像分类器☆25Updated 3 years ago
- 富士康-金属件-自动化尺寸测量-计算机视觉☆28Updated 2 years ago
- ☆157Updated 3 years ago
- 这是一个使用Python和PyQt5开发的一个计算机视觉辅助裂缝标注工具,标注工具先用边缘检测和形态学方法预识别裂缝,然后人工对结果进行标 涂或擦除。除了此方法,工具还有其他多种方法,详情请见readme.md的介绍☆81Updated 6 years ago
- 🎉Qt-GUI implementation of the YOLOv5 algorithm (ver.6 and ver.5). 🎉YOLOv5算法(ver.6及ver.5)的Qt-GUI实现☆31Updated 3 years ago
- Fabric defect detection based on computer vision☆25Updated 6 years ago
- Detection of defects in fruits and vegetables using k means segmentation and Otsu thresholding in Matlab. Both external and internal defe…☆26Updated 6 years ago
- joooogle / Automatic-labeling-of-instance-segmentation-Mask-Rcnn-in-static-background-base-on-labelme静态背景下实例分割数据集自动标注工具,基于Labelme改进。可以自动生成labelme格式的json文件。(注意:本程序只适用于大量图片基于静态背景)原理是:背景减除后得到高质量的二值图,计算连通域外轮廓坐标,再将信息写入json文件。☆13Updated 6 years ago
- 使用YOLOv5+DeepLabV3Plus实现仪表的检测、指针表盘分割和刻度读数识别☆45Updated 3 years ago
- Segmentation-based deep-learning approach for surface-defect detection with pytorch☆25Updated 7 months ago
- 铭牌印刷缺陷视觉检测系统☆37Updated 4 years ago