tiberium24's repositories
pytorch-superglue
SuperGlue: Learning Feature Matching with Graph Neural Networks
AB3DMOT
Official Python Implementation for "A Baseline for 3D Multi-Object Tracking", In Submission
al-folio
A beautiful, simple, clean, and responsive Jekyll theme for academics
awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
awesome-image-classification
A curated list of deep learning image classification papers and codes
awesome-robotics
A list of awesome Robotics resources
awesome-robotics-libraries
:sunglasses: A curated list of robotics libraries and software
awesome-visual-slam
:books: The list of vision-based SLAM / Visual Odometry open source, blogs, and papers
cosine_metric_learning
Deep Cosine Metric Learning for Person Re-identification
DBoW2
Enhanced hierarchical bag-of-word library for C++
deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
deep_sort
Simple Online Realtime Tracking with a Deep Association Metric
deep_sort_pytorch
MOT tracking using deepsort and yolov3 with pytorch
Detect-Track
Four tracking algorithms organized with cascade classifier or YOLOv3 for object detection.
DGN
DGN Code
EDA_GNN
Graph Neural Based End-to-end Data Association Framework for Online Multiple-Object Tracking
FairMOT
A simple baseline for one-shot multi-object tracking
find_moving_objects
A ROS library that finds moving objects and derives their position and velocity, based on 2D laser scan or 3D point cloud 2 data streams.
GCNNMatch
This repository is the official code implementation of the paper GCNNMatch: Graph Convolutional Neural Networks for Multi-Object Tracking via Sinkhorn Normalization.
libpointmatcher
An "Iterative Closest Point" library for 2-D/3-D mapping in Robotics
mmsegmentation
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
Object-Detection-Metrics
Most popular metrics used to evaluate object detection algorithms.
opengv
OpenGV is a collection of computer vision methods for solving geometric vision problems.
pycls
Codebase for Image Classification Research, written in PyTorch.
pytorch_geometric
Geometric Deep Learning Extension Library for PyTorch
pytracking
Visual tracking library based on PyTorch.
Towards-Realtime-MOT
Joint Detection and Embedding for fast multi-object tracking