FantacherJOY / Metal-Surface-Defect-InspectionLinks
Metal Surface Defect Inspection through Deep Convolution Neural Network
☆18Updated 2 years ago
Alternatives and similar repositories for Metal-Surface-Defect-Inspection
Users that are interested in Metal-Surface-Defect-Inspection are comparing it to the libraries listed below
Sorting:
- ☆17Updated 7 years ago
- A minimalistic GUI for crack detection on concrete using deep learning☆10Updated 6 years ago
- Visual Defect Detection on Boiler Water Wall Tube Using Small Dataset☆121Updated last year
- Implementation of Improving the Efficiency of Encoder-Decoder Architecture for Pixel-level Crack Detection. keras with tensorflow backen…☆11Updated 6 years ago
- Programs to detect clusters in data using GMM and compressed images (Color Quantization) using k-means clustering methods, detect bone fr…☆13Updated 6 years ago
- U-Net variants to segment cracks in pavement☆14Updated 7 years ago
- Detection and Segmentation of Manufacturing Defects with Convolutional Neural Networks and Transfer Learning☆114Updated 5 years ago
- Using Tensorflow and a Support Vector Machine to Create an Image Classifications Engine☆63Updated 7 years ago
- A python script to draw bounding boxes on ground truth and detections for YOLO styled annotations and VOC too.☆14Updated 4 years ago
- This application uses LIBSVM and PIL to perform image classification on a set of images.☆89Updated 10 years ago
- CNN-based Person Detection using Infrared Images for Night-time Intrusion Warning Systems☆36Updated 4 years ago
- ☆24Updated 6 years ago
- This is Keras code from "Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders".☆53Updated 7 years ago
- Simple Keras implementation of Triplet-Center Loss on the MNIST dataset☆45Updated 6 years ago
- A CNN (Convolutional Neural Network) model to automatically classify images of building construction that show deficient work, with crack…☆20Updated 5 years ago
- One Shot Learning Implementation☆42Updated 5 years ago
- The project uses Unet-based improved networks to study road crack segmentation, which is based on keras.☆44Updated 6 years ago
- Steel defect detection intern project in PIRL(Postech information Research Laboratories)☆18Updated 6 years ago
- Open-source code for our CVPR19 paper "Meta-learning Convolutional Neural Architectures for Multi-target Concrete Defect Classification w…☆80Updated 5 years ago
- Can you detect and classify defects in steel? Segmentation in Pytorch☆67Updated 5 years ago
- Transfer Learning with EfficientNet in Keras☆88Updated 2 years ago
- TensorFlow implementation of GoogLeNet.☆11Updated 7 years ago
- CrackDetection for both pavement and concrete meterials☆15Updated 5 years ago
- Real time crack segmentation using PyTorch, OpenCV and ONNX runtime☆64Updated 3 years ago
- Repository for all the stuff related with road pavements defect segmentation. Main idea behind the segmentation is to create/approve/test…☆20Updated 4 years ago
- [5 FPS - 150 FPS] Learning Deep Features for One-Class Classification (AnomalyDetection). Corresponds RaspberryPi3. Convert to Tensorflow…☆125Updated 6 years ago
- Keras implementation of Adversarially Learned One-Class Classifier or ALOCC for short.☆34Updated 4 years ago
- Few Shot Learning by Siamese Networks, using Keras.☆194Updated 5 years ago
- Image classification using CNN☆15Updated 7 years ago
- Automatic Defect Inspection with End-to-End Deep Learning☆32Updated 6 years ago