erik-dali / lidar-semantic-segmentation Goto Github PK

This page is a collection of some coding projects I've worked on. Currently there are 4 repositories on machine learning and scientific computing.

• Scientific Computing This is a sample of my scientific computing code in MatLab on probability distributions and nonlinear optimization. In the first part I define a couple functions for creating histograms and drawing random samples from probability distributions. The second part of this repository shows a couple of nonlinear optimization methods.
• 3D Object Detection: LIDAR Semantic Segmentation This is a machine learning and computer vision project that works on LIDAR data. The objective is detection of 3D objects i.e. semantic segmentation of LIDAR point clouds. The dataset used here is KITTI-360 and the model is a modified PointNet2. This is a Python based implementation using Pytorch and Open3D in a Jupyter Notebook.
• Object-Oriented Programming: Tetris This is a small project to showcase object-oriented programming in Python. No image assets are used for this project; everything is being rendered using a Tkinter wrapper library.
• Glomeruli-Detection This project demonstrates the effectiveness of Deep Atrous Convolution (DeepLab V3) with a ResNet-101 backbone for segmentation of glomeruli within kidney Whole Slide Imaging (WSI) at full resolution. This is a Python based implementation using Pytorch and TorchVision in a Jupyter Notebook.