Block or Report
Block or report TonyJacb
Contact GitHub support about this user’s behavior. Learn more about reporting abuse.
Report abuseStars
Language
Sort by: Recently starred
Easy & Modular Computer Vision Detectors, Trackers & SAM - Run YOLOv9,v8,v7,v6,v5,R,X in under 10 lines of code.
Hector Quadrotor ported to ROS Noetic with Gazebo 11
Software tools for agile quadrupeds, developed by the Robomechanics Lab at Carnegie Mellon University.
A curated list of papers & resources linked to 3D reconstruction from images.
TensorFlow Lite, Coral Edge TPU samples (Python/C++, Raspberry Pi/Windows/Linux).
Individual Dissertation Project I made about competitive and cooperative resource gathering using Swarm Robotics with ROS and AI mapping/exporation algorithms.
[ICCV'21] NEAT: Neural Attention Fields for End-to-End Autonomous Driving
MIT Mini Cheetah quadruped robot simulated in pybullet environment using ROS.
Source code for JRMOT: A Real-Time 3D Multi-Object Tracker and a New Large-Scale Dataset
A set of Gazebo worlds models and maps that I used for testing Navigation2
An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.
Resources on various topics being worked on at IvLabs
Visualizing lidar data using Uber Autonomous Visualization System (AVS) and Jupyter Notebook Application
Weakly Supervised 3D Object Detection from Point Clouds (VS3D), ACM MM 2020
An npm package to read Google Sheets data and convert it to JSON without publishing it to the web
A curated list of deep learning resources for computer vision
A tutorial showing how to train, convert, and run TensorFlow Lite object detection models on Android devices, the Raspberry Pi, and more!
🤖 Places where you can learn robotics (and stuff like that) online 🤖
Tensorflow implimentation of HUSE: Hierarchical Universal Semantic Embeddings
Python GUIs for Humans! PySimpleGUI is the top-rated Python application development environment. Launched in 2018 and actively developed, maintained, and supported in 2024. Transforms tkinter, Qt, …
A new and computationally cheap method to perform human activity recognition using PoseNet and LSTM. Where we use PoseNet for Preprocessing and LSTM for understand the sequence.