nhorro / nuclear-plant-crack-inspection-pipeline
Attempt to reproduce paper for crack inspection in nuclear plants from video footage.(see references).
☆14Updated 5 years ago
Alternatives and similar repositories for nuclear-plant-crack-inspection-pipeline:
Users that are interested in nuclear-plant-crack-inspection-pipeline are comparing it to the libraries listed below
- CNN for crack classification, intended for use in a crack inspection pipeline (see references).☆40Updated 5 years ago
- Visual inspection of bridges is customarily used to identify and evaluate faults. However, current procedures followed by human inspector…☆20Updated 5 years ago
- Incorporating Inductive Bias into Deep Learning: A Perspective from Automated Visual Inspection in Aircraft Maintenance☆55Updated 5 years ago
- A minimalistic GUI for crack detection on concrete using deep learning☆12Updated 5 years ago
- U-Net variants to segment cracks in pavement☆14Updated 6 years ago
- Implementation of Improving the Efficiency of Encoder-Decoder Architecture for Pixel-level Crack Detection. keras with tensorflow backen…☆11Updated 5 years ago
- Eye Disease Classification using google images data☆15Updated 3 years ago
- A python-based crack detection and classification system using deep learning; used YOLO object detection algorithm. To extract the featur…☆20Updated 4 years ago
- Structural damage detection using convolutional neural networks☆89Updated 6 years ago
- ☆31Updated 10 months ago
- All in one cracks segmentation dataset()☆35Updated 6 years ago
- Crack detection for concrete structure using Matlab☆32Updated 7 years ago
- Image processing for automated detection of steel corrosion☆12Updated 7 years ago
- Faster RCNN for xView satellite data challenge☆21Updated 5 years ago
- The notebooks show our modest contribution to the Deep Learning community interested in Precision Agriculture problems.☆18Updated last year
- This repository focuses on the automation of blade inspection, using different Computer Vision (CV) approaches and methods to detect dama…☆31Updated 5 years ago
- A service to auto-generate masks for image segmentation☆22Updated 6 years ago
- A python implementation of a simple yet effective algorithm for detecting humans in low-res thermal images that are usually captured usin…☆45Updated 6 years ago
- A library to map match and help tackle the problem of overlapping/intersecting road and building footprint that arises in the process of …☆18Updated 2 years ago
- Set of Machine Learning Algorithms developed with the aim of determining health states of different types of crops☆42Updated last year
- Cool Vision projects☆80Updated 7 years ago
- A convolutional neural network built using keras to detect cracks on road with 97.5% accuracy.☆44Updated 4 years ago
- IDV Segmentation Example This is an example showing the use of Mask RCNN in a real application. We train the model to detect Idly Vada Do…☆10Updated 6 years ago
- Surface crack images classification using PyTorch Lightning☆11Updated 4 years ago
- Deep Aerial Image Recognition☆91Updated 7 years ago
- ☆21Updated 5 years ago
- OpenCV with Python By Example, published by packt☆51Updated 2 years ago
- Example of semantic segmentation in Keras☆56Updated 6 years ago
- Concrete Crack and Spalling Detection using Deep Neural Network☆83Updated 6 years ago
- The repository includes Notebook files and documents of the course I completed in NVIDIA Deep Learning Institute. Feel free to acess and …☆18Updated 6 years ago