derekgloudemans Goto Github PK

2d-truss-optimization

Gradient descent-based optimization of an input truss using matrix-based stiffness method for structural analysis.

3d-playground

Trials of formulations for 3D object detectors, as well as a 3D object dataset

blokus-reinforcement-learning

A Blokus game interface in which a variety of heuristics, search strategies and learning agents are implemented. Deep RL state estimation will be added when I get some free time!

classification-isic-2018

A few classifiers are implemented for the challenging ISIC 2018 skin lesion classification challenge.

code-examples

Little snippets of code to remind myself how things work

crop-tracking-detrac

curvilinear-homography

Implements 2D and 3D perspective transform between image and cartesian coordinate plane, and curvilinear to cartesian coordinate conversion. Useful for coordinate systems defined nominally relative to a single non-linear axis (e.g. roadway stations and mile markers)

cv-detection

Utilities for object detection, object tracking, trajectory conversion from image space to world coordinates, and track plotting.

dashcam-utils

Homography, plotting and detection for dashcam video footage and other ego-vehicle data

ddpg

Pytorch implementation of deep deterministic policy gradients for reinforcement learning over continuous action spaces

ddpg-pytorch-phil-tabor

Repository for most of the code from my YouTube channel

decision-tree

A simple and straightforward implementation of a decision tree classifier as described by Leo Breiman in Classification and Regression Trees.

derekgloudemans.github.io

Portfolio website of major research and personal projects

distributed-detection

Performs stream processing (nominally object detection) across multiple worker processes with decentralized load balancing, decentralized database with eventual consistency, and basic fault monitoring.

dna-strand

A C++ DNA_strand object is implemented by dynamically allocated array and by linked list, and functions are provided for searching strand for a sequence, appending to it, cleaving target sequences from it, etc. Comprehensive testing scripts also implemented.

fast-trajectory-annotator

Large-scale sparse trajectory annotation with all the bells and whistles, with goal of labling one vehicle in 20 cameras in 1 minute. Pulls a majority of code from other annotation tools I've built with a few bells and whistles optimizing for this task specifically

hierarchical-classification-beers

An implementation of basic hierarchical tree (dendrogram) construction with a few modifications and enhancements, applied to a fun dataset of beers.

i24-motion-examples

Code, data, and video examples from I-24 MOTION feasibility test.

i24-roadway-transforms

i24-video-ingest

i24-video-processing

i24_database_api

i24_track

i24_train_eval

ip-detection-example

kitti-utils

Utility functions for loading images from the KITTI dataset, plotting 2D and 3D bounding box and evaluating outputs according to the KITTI dataset metrics

lambda-means-clustering

Simple implementation of lambda means clustering

lbt-count

Fast Vehicle Turning-Movement Counting using Localization-based Tracking

lbt-count-lite

LBT-count without torch.multiprocessing to enable sharing of CUDA memory between processes. Instead, images are transferred to CUDA on main process

localization-based-tracking

Very fast tracking and detection using a CNN-based localizer and Kalman filter.