arthurxw,github

👋 Hi, I’m @ArthurXW
👀 I’m interested in image segmentation and recognition, especially for the fractography of metals.
🌱 I’m currently learning machine learning.

arthurxw's Projects

deepxde

A library for scientific machine learning and physics-informed learning

fcn_train

The code includes all the file that you need in the training stage for FCN

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

pytorch-fcn

PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)

In this repository, we present an Semantic Segmentation code, based on U-net architecture, that is used for the topographic characterization of the fracture surfaces of brittle materials. The results of this work are presented in the publication: " Toward quantitative fractography using convolutional neural networks ".

s-metallograph-segmentation

Code for semantic segmentation models and techniques applied to metal microstructures, in collaboration with ArcelorMittal

wha_clustering_classification_visualization

This repository presents two Unsupervised ML algorithms that enable the clustering and classification of dataset of SEM images obtained after scanning the fracture surface of 5 WHA samples with different tungsten composition. Additionally, the Activation Maps of the last convolution layer of the neural network (VGG16) that is used in an intermediate stage of the algorithm are created, according to their weights in the next stages of the clustering algorithm.

Recommend Projects