malakar-soham / cnn-in-weldingLinks
Detecting Faults and Measuring Severity in Welding using Radiographic Images
☆51Updated 5 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 Saliency detection toolbox Specially designed for surface defect detection.☆185Updated 3 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☆121Updated 4 years ago
- This is a deep learning application project in the industrial field, intended to detect defects on the workpiece surface. The code is bas…☆85Updated 5 years ago
- This repo contains data pre-processing, classification and defect detection methodologies for images from Advance XRay Inspection from mu…☆59Updated 4 years ago
- Surface Defect Detection with Segmentation-Decision Network on KolektorSDD☆141Updated 4 years ago
- ☆158Updated 3 years ago
- Visual Defect Detection on Boiler Water Wall Tube Using Small Dataset☆121Updated last year
- 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。☆156Updated 5 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☆86Updated 6 years ago
- defect detection algorithm☆142Updated 2 years ago
- My code for Tianchi competition-Aluminum surface defect detection(held by Alibaba Cloud). My final rank is 10/2972(top 0.3%).☆251Updated 4 years ago
- ☆35Updated 2 years ago
- 铭牌印刷缺陷视觉检测系统☆41Updated 4 years ago
- ☆38Updated 2 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
- ☆24Updated 6 years ago
- Implementation of the paper: Defect Detection in Plain Weave Fabrics by Yarn Tracking and Fully Convolutional Networks☆70Updated 5 years ago
- Implementation of automatic computer-aided identification system to recognize different types of welding defects in radiographic images w…☆28Updated 4 years ago
- Image segmentation☆21Updated 5 years ago
- 富士康-金属件-自动化尺寸测量-计算机视觉☆30Updated 2 years ago
- Segmentation-Based Deep-Learning Approach for Surface-Defect Detection☆26Updated 4 years ago
- ☆341Updated 8 years ago
- Detecting objects from camera or local video files vi qt and yolo.☆24Updated 7 years ago
- The driver software of industrial camera (USB, GigE) designed based on pyqt5 integrates paddlex for image target detection, image segment…☆91Updated 4 years ago
- 玻璃绝缘子缺陷检测☆33Updated 4 years ago
- Pytorch Implement of the paper "Segmentation-Based Deep-Learning Approach for Surface Defect Detection"☆196Updated 6 years ago
- generate randomly defects on positive samples and restore them with GAN.☆40Updated 4 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
- 图像分割标注工具☆31Updated 6 years ago
- 为bubbliiiing的yolo系列代码进行onnx部署（C++）,目前已完美适配yolov4>>yolov5>>yolov5-6.1>>yolov7☆12Updated 3 years ago