Annotate quickly images.
- computer-vision
- deep-learning
- pixel-wise
- ground-truth
47,133 repositories indexed
25–45 of 45 · Most stars
Annotate quickly images.
Official git repository for libdivide: optimized integer division
A Modular Optimization framework for Localization and mApping (MOLA)
X Inertial-aided Visual Odometry
[Siggraph Asia 2013] Large-Scale, Real-Time 3D Reconstruction
ROS-based framework and RPi image to control PX4-powered drones 🍀
The repository host gives no description.
Dense Visual Odometry and SLAM
Large collection of number systems providing custom arithmetic for mixed-precision algorithm development and optimization for AI, Machine Learning, Computer Vision, Signal Processing, CAE, EDA, control, optimization, estimation, and approximation.
A ROS wrapper of the AprilTag 3 visual fiducial detector
Marvin: A Minimalist GPU-only N-Dimensional ConvNets Framework
A C/C++ header file for fast 32-bit division remainders (and divisibility tests) on 64-bit hardware.
Gravity Rush PC Native Port A community-driven project aiming to bring Gravity Rush to PC as a native port, building upon the technical foundation and approach of the God of War PC port. The goal is to make the game run natively on PC while preserving its original gameplay, unique gravity mechanics, and artistic vision.
This is the GitHub home of Race Into Space, the computer version of the Liftoff! board game by Fritz Bronner. It was developed by Strategic Visions and published by Interplay as a disk-based game in 1993 and a CD-ROM in 1994. It was open-sourced in 2005 and a number of improvements have been made over the original.
ViSP stack for ROS
This repository provides a set of tools and libraries to integrate Intel® OpenVINO™ Toolkit with ROS 2 (Robot Operating System), enabling efficient deployment of deep learning models for computer vision applications on Intel® hardware.
A graphical user interface to annotate point clouds and 3D data.
Support for ROS-enabled RGBD data acquisition in Unreal Engine Projects
Implementation of the superpixel algorithm called SEEDS [1].
Application to extract features from plant root images
Micropython binding for the ESP32 DL AI vision models like face detection / recognition, imagenet classifier or pedestrian (human) detection